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Bocewicz, G., R. Wójcik, and Z. Banaszak. "CP-driven Modelling for Multi-modal Cyclic Transport Systems." IFAC Proceedings Volumes 45, no. 6 (2012): 339–44. http://dx.doi.org/10.3182/20120523-3-ro-2023.00329.
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Liu, Hao, Ting Li, Renjun Hu, Yanjie Fu, Jingjing Gu, and Hui Xiong. "Joint Representation Learning for Multi-Modal Transportation Recommendation." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 1036–43. http://dx.doi.org/10.1609/aaai.v33i01.33011036.
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Multi-modal transportation recommendation has a goal of recommending a travel plan which considers various transportation modes, such as walking, cycling, automobile, and public transit, and how to connect among these modes. The successful development of multi-modal transportation recommendation systems can help to satisfy the diversified needs of travelers and improve the efficiency of transport networks. However, existing transport recommender systems mainly focus on unimodal transport planning. To this end, in this paper, we propose a joint representation learning framework for multi-modal transportation recommendation based on a carefully-constructed multi-modal transportation graph. Specifically, we first extract a multi-modal transportation graph from large-scale map query data to describe the concurrency of users, Origin-Destination (OD) pairs, and transport modes. Then, we provide effective solutions for the optimization problem and develop an anchor embedding for transport modes to initialize the embeddings of transport modes. Moreover, we infer user relevance and OD pair relevance, and incorporate them to regularize the representation learning. Finally, we exploit the learned representations for online multimodal transportation recommendations. Indeed, our method has been deployed into one of the largest navigation Apps to serve hundreds of millions of users, and extensive experimental results with real-world map query data demonstrate the enhanced performance of the proposed method for multimodal transportation recommendations.
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Camargo Perez, Johanna, and Jairo R. Montoya Torres. "Multi-criteria location of multi-modal terminals in integrated public transport systems." International Journal of Information and Decision Sciences 13, no. 4 (2021): 335. http://dx.doi.org/10.1504/ijids.2021.10042982.
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Perez, Johanna Camargo, and Jairo R. Montoya Torres. "Multi-criteria location of multi-modal terminals in integrated public transport systems." International Journal of Information and Decision Sciences 13, no. 4 (2021): 335. http://dx.doi.org/10.1504/ijids.2021.119374.
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Rodríguez González, Ana Belén, Juan José Vinagre Díaz, Mark R. Wilby, and Rubén Fernández Pozo. "Data-Driven Performance Evaluation Framework for Multi-Modal Public Transport Systems." Sensors 22, no. 1 (2021): 17. http://dx.doi.org/10.3390/s22010017.
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Transport agencies require accurate and updated information about public transport systems for the optimal decision-making processes regarding design and operation. In addition to assessing topology and service components, users’ behaviors must be considered. To this end, a data-driven performance evaluation based on passengers’ actual routes is key. Automatic fare collection platforms provide meaningful smart card data (SCD), but these are incomplete when gathered by entry-only systems. To obtain origin–destination (OD) matrices, we must manage complete journeys. In this paper, we use an adapted trip chaining method to reconstruct incomplete multi-modal journeys by finding spatial similarities between the outbound and inbound routes of the same user. From this dataset, we develop a performance evaluation framework that provides novel metrics and visualization utilities. First, we generate a space-time characterization of the overall operation of transport networks. Second, we supply enhanced OD matrices showing mobility patterns between zones and average traversed distances, travel times, and operation speeds, which model the real efficacy of the public transport system. We applied this framework to the Comunidad de Madrid (Spain), using 4 months’ worth of real SCD, showing its potential to generate meaningful information about the performance of multi-modal public transport systems.
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Kotikov, Ju G. "Using the properties of vehicles in the conceptof the multi-environment multi-modal quantomobile." Вестник гражданских инженеров 17, no. 6 (2020): 195–205. http://dx.doi.org/10.23968/1999-5571-2020-17-6-195-205.
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The development of the concept of the quantum engine, that uses the energy of physical vacuum, makes it possible to create a new class of vehicles, namely, the quantomobile, designed as a quantum - powered vehicle. The type of quantum vehicles can be versatile, starting from the simplest version (with the ground vehicle driving modes) to the multi-environment multi-modal quantomobile that can function on land, in the air and in water. To work out a hypothetical model of the multi-environment multi-modal quantomobile, it is necessary to use all the heritage of research and development in the sphere of transport engineering. For 10 variants of the multi-environment multi-modal quantomobile movement - from the air quantum helicopter (quantocraft) to a quantum submarine (quantomarine) - there has been made an analysis of the numerical modeling specifics, the use of coordinate systems, the implementation of the traffic of existing transport vehicles that can be reflected in the concept of multi-environment quantomobile. Two extreme methods of modeling are distinguished: 1) the one based on a single family of coordinate systems and a common (end-to-end for all types of environment) motion model; 2) the one based on models by type of motion with possible switching of coordinate systems.
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WANG, Qingyun. "Ideology and Practice of Systems Engineering in Multi-Modal Transport Planning." Journal of Transportation Systems Engineering and Information Technology 8, no. 1 (2008): 11–16. http://dx.doi.org/10.1016/s1570-6672(08)60006-9.
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Cats, Oded, and Riccardo Scarinci. "Special issue on “Modelling passenger flows in multi-modal public transport systems”." EURO Journal on Transportation and Logistics 9, no. 1 (2020): 100003. http://dx.doi.org/10.1016/j.ejtl.2020.100003.
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Pasquale, C., E. Siri, S. Sacone, and S. Siri. "A Discrete-Time Model for Large-Scale Multi-Modal Transport Networks." IFAC-PapersOnLine 54, no. 2 (2021): 7–12. http://dx.doi.org/10.1016/j.ifacol.2021.06.001.
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Horn, M. E. T. "Multi-modal and demand-responsive passenger transport systems: a modelling framework with embedded control systems." Transportation Research Part A: Policy and Practice 36, no. 2 (2002): 167–88. http://dx.doi.org/10.1016/s0965-8564(00)00043-4.
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Williams, H. C. W. L., W. M. Lam, J. Austin, and K. S. Kim. "Transport policy appraisal with equilibrium models III: Investment benefits in multi-modal systems." Transportation Research Part B: Methodological 25, no. 5 (1991): 293–316. http://dx.doi.org/10.1016/0191-2615(91)90024-d.
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Kabashkin, Igor. "Model of Sustainable Household Mobility in Multi-Modal Transportation Networks." Sustainability 16, no. 17 (2024): 7802. http://dx.doi.org/10.3390/su16177802.
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Nowadays, urban and suburban areas face increasing environmental pressures, and encouraging sustainable transportation behaviors at the household level has become crucial. This paper presents a model of a decision support system (DSS) for promoting sustainable household mobility choices in multi-modal transport networks. The system was modeled using an enhanced Petri Net approach, allowing for the dynamic representation of complex transport networks and multi-modal journey options. The model incorporated various sustainability factors. These were combined into a single environmental impact score, which was considered alongside travel time and cost in the route optimization process. Simulation results demonstrated the DSS’s capability to guide users toward more sustainable mobility choices. The model also showed potential as a tool for policymakers to assess the impact of various sustainable transportation initiatives and infrastructure investments. This paper discussed the versatile applications of the system. It also addressed the limitations of Petri Net models in transportation systems and suggested future research directions.
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Botea, Adi, and Stefano Braghin. "Contingent versus Deterministic Plans in Multi-Modal Journey Planning." Proceedings of the International Conference on Automated Planning and Scheduling 25 (April 8, 2015): 268–72. http://dx.doi.org/10.1609/icaps.v25i1.13691.
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Deterministic planning is the de facto standard in deployed multi-modal journey planning systems. However, in reality, transportation networks feature many types of uncertainty, including variations of the arrival and the departure times of public transport vehicles. Under uncertainty, deterministic plans could result in missed connections, leading to an arrival time much worse than originally planned. We contribute an empirical study using transportation network data from three European cities. We show that, in the presence of uncertainty, contingent plans can often provide significant savings in terms of travel time. We view our results as important because they advocate adopting uncertainty-aware multi-modal journey plans, shifting from the current practice based on using deterministic planning.
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GIL, Eduardo Martínez, and Arturo Corbi VALLEJO. "Account based ticketing (ABT) integration for seamless multi-modal transport systems in smart cities." Smart Cities and Regional Development (SCRD) Journal 8, no. 2 (2024): 73–80. http://dx.doi.org/10.25019/am7zzf87.
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The digital transformation of urban transportation systems remains a critical challenge in Smart Cities' development. This paper addresses the pervasive issue of inadequate digitalization within public transportation systems. The paper highlights the promise of Account Based Ticketing (ABT) as a pivotal solution for integrating diverse public and private transportation modes allowing users to access different transportation services with a single account, without the need for new physical tickets or cards. ABT approach represents a breakthrough in seamlessly amalgamating various transportation operators' systems, transcending city limits into broader metropolitan spheres, and fostering integration and interoperability across transportation modes operated by disparate entities. Emphasizing beyond-city-scale integration, it explores the potential value of ABT to connect transportation networks extending into metropolitan influences. The proposed approach involves analyzing the implementation and functionality of ABT systems, underlining their capacity to overcome existing barriers in multi-modal transportation. The results anticipate enhanced accessibility, increased ridership, and streamlined user experiences, contributing to the realization of efficient and interconnected urban transport networks. This study not only underscores the value of ABT in revolutionizing contemporary transportation systems but also examines its broader implications for future urban planning and smart city development, highlighting the transformative potential and essential role that ABT plays in shaping the future of integrated transportation and Mobility as a Service in Smart Cities.
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Macharis, Cathy, Dries Meers, and Tom Van Lier. "Modal choice in freight transport: combining multi-criteria decision analysis and geographic information systems." International Journal of Multicriteria Decision Making 5, no. 4 (2015): 355. http://dx.doi.org/10.1504/ijmcdm.2015.074087.
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Liu, Bing, Xiaolei Ma, Wei Liu, and Zhenliang Ma. "Designing a carbon-trading incentive scheme for mode shifts in multi-modal transport systems." Transportation Research Part E: Logistics and Transportation Review 192 (December 2024): 103789. http://dx.doi.org/10.1016/j.tre.2024.103789.
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Liu, Hao, Jindong Han, Yanjie Fu, Jingbo Zhou, Xinjiang Lu, and Hui Xiong. "Multi-modal transportation recommendation with unified route representation learning." Proceedings of the VLDB Endowment 14, no. 3 (2020): 342–50. http://dx.doi.org/10.14778/3430915.3430924.
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Multi-modal transportation recommendation aims to provide the most appropriate travel route with various transportation modes according to certain criteria. After analyzing large-scale navigation data, we find that route representations exhibit two patterns: spatio-temporal autocorrelations within transportation networks and the semantic coherence of route sequences. However, there are few studies that consider both patterns when developing multi-modal transportation systems. To this end, in this paper, we study multi-modal transportation recommendation with unified route representation learning by exploiting both spatio-temporal dependencies in transportation networks and the semantic coherence of historical routes. Specifically, we propose to unify both dynamic graph representation learning and hierarchical multi-task learning for multi-modal transportation recommendations. Along this line, we first transform the multi-modal transportation network into time-dependent multi-view transportation graphs and propose a spatiotemporal graph neural network module to capture the spatial and temporal autocorrelation. Then, we introduce a coherent-aware attentive route representation learning module to project arbitrary-length routes into fixed-length representation vectors, with explicit modeling of route coherence from historical routes. Moreover, we develop a hierarchical multi-task learning module to differentiate route representations for different transport modes, and this is guided by the final recommendation feedback as well as multiple auxiliary tasks equipped in different network layers. Extensive experimental results on two large-scale real-world datasets demonstrate the performance of the proposed system outperforms eight baselines.
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Lenfers, Ulfia Annette, Nima Ahmady-Moghaddam, Daniel Glake, Florian Ocker, Jonathan Ströbele, and Thomas Clemen. "Incorporating Multi-Modal Travel Planning into an Agent-Based Model: A Case Study at the Train Station Kellinghusenstraße in Hamburg." Land 10, no. 11 (2021): 1179. http://dx.doi.org/10.3390/land10111179.
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Models can provide valuable decision support in the ongoing effort to create a sustainable and effective modality mix in urban settings. Modern transportation infrastructures must meaningfully combine public transport with other mobility initiatives such as shared and on-demand systems. The increase of options and possibilities in multi-modal travel implies an increase in complexity when planning and implementing such an infrastructure. Multi-agent systems are well-suited for addressing questions that require an understanding of movement patterns and decision processes at the individual level. Such models should feature intelligent software agents with flexible internal logic and accurately represent the core functionalities of new modalities. We present a model in which agents can choose between owned modalities, station-based bike sharing modalities, and free-floating car sharing modalities as they exit the public transportation system and seek to finish their personal multi-modal trip. Agents move on a multi-modal road network where dynamic constraints in route planning are evaluated based on an agent’s query. Modality switch points (MSPs) along the route indicate the locations at which an agent can switch from one modality to the next (e.g., a bike rental station to return a used rental bike and continue on foot). The technical implementation of MSPs within the road network was a central focus in this work. To test their efficacy in a controlled experimental setting, agents optimized only the travel time of their multi-modal routes. However, the functionalities of the model enable the implementation of different optimization criteria (e.g., financial considerations or climate neutrality) and unique agent preferences as well. Our findings show that the implemented MSPs enable agents to switch between modalities at any time, allowing for the kind of versatile, individual, and spontaneous travel that is common in modern multi-modal settings.
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Echeverri, Per. "Navigating Multi-Modal Public Transport Systems: Real Time Perceptions of Processual Usability Using Video Methodology." Procedia - Social and Behavioral Sciences 48 (2012): 2211–20. http://dx.doi.org/10.1016/j.sbspro.2012.06.1194.
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Wang, Tianni, Mark Ching-Pong Poo, Adolf K. Y. Ng, and Zaili Yang. "Adapting to the Impacts Posed by Climate Change: Applying the Climate Change Risk Indicator (CCRI) Framework in a Multi-Modal Transport System." Sustainability 15, no. 10 (2023): 8190. http://dx.doi.org/10.3390/su15108190.
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Climate change has threatened the infrastructure, operation, policymaking, and other pivotal aspects of transport systems with the accelerating pace of extreme weather events. While a considerable amount of research and best practices have been conducted for transport adaptation to climate change impacts, there is still a wide gap in the systematic assessment of climate risks on all-round transport modes (i.e., road, rail, sea, and air) with a comprehensive review and a quantitative scientific framework. This study aimed to critically review studies on how the transport sector has adapted to the impacts posed by climate change since the dawn of the 21st century. To support climate risk assessment in comprehensive transport systems, we developed a Climate Change Risk Indicator (CCRI) framework and applied it to the case of the British transport network. Focusing on a multi-modal transport system, this offers researchers and practitioners an invaluable overview of climate adaptation research with the latest tendency and empirical insights. Meanwhile, the developed CCRI framework elaborates a referable tool that enables decision-makers to employ objective data to realise quantitative risk analysis for rational transport adaptation planning.
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Roosien, R. J., M. N. A. Lim, S. M. Petermeier, and W. F. Lammen. "Multi-Modal Life Cycle Assessment of Journeys by Aircraft, Train or Passenger Car." Aerospace 11, no. 1 (2024): 98. http://dx.doi.org/10.3390/aerospace11010098.
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To reduce the carbon footprint of transport, policymakers are simultaneously stimulating cleaner vehicles and more sustainable mobility choices, such as a shift to rail for short-haul flights within Europe. The purpose of this study is to determine the climate impact of a journey within Europe by aircraft, train or passenger car, and to better understand what factors drive this impact in order to make smarter and more sustainable fact-based mobility choices. The study consists of a life cycle inventory (LCI) and life cycle impact assessment (LCA) of greenhouse gas emissions of specific vehicles in five case study travel scenarios in Europe. The energy and resulting direct emissions (including non-CO2) of the aircraft scenarios were calculated for the purpose of this study using the Mission Aircraft and Systems Simulation tool developed by the Royal Netherlands Aerospace Centre NLR. For other LCA phases and other modes of transport, the study relies on emission factors from public literature. A trip by train results in three to five times less emissions than a comparable trip by aircraft. In most scenarios, the passenger car with two people onboard emits significantly more than a train but slightly less than an aircraft. The study also shows what drives the climate impact of such a trip and how this is very different for different modes of transport. The study further highlights a lack of high-quality data, especially in the areas of indirect emissions and infrastructure, poor consistency among studies and a general under-documentation and lack of transparency regarding assumptions.
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Rivas, Alberto, Alfonso González-Briones, Juan J. Cea-Morán, Arnau Prat-Pérez, and Juan M. Corchado. "My-Trac: System for Recommendation of Points of Interest on the Basis of Twitter Profiles." Electronics 10, no. 11 (2021): 1263. http://dx.doi.org/10.3390/electronics10111263.
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New mapping and location applications focus on offering improved usability and services based on multi-modal door to door passenger experiences. This helps citizens develop greater confidence in and adherence to multi-modal transport services. These applications adapt to the needs of the user during their journey through the data, statistics and trends extracted from their previous uses of the application. The My-Trac application is dedicated to the research and development of these user-centered services to improve the multi-modal experience using various techniques. Among these techniques are preference extraction systems, which extract user information from social networks, such as Twitter. In this article, we present a system that allows to develop a profile of the preferences of each user, on the basis of the tweets published on their Twitter account. The system extracts the tweets from the profile and analyzes them using the proposed algorithms and returns the result in a document containing the categories and the degree of affinity that the user has with each category. In this way, the My-Trac application includes a recommender system where the user receives preference-based suggestions about activities or services on the route to be taken.
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GUD’, Ilya D. "DEVELOPMENT OF RESOURCE POTENTIAL OF URBAN PLANNING RESERVES IN MEGAPOLISES." Urban construction and architecture 10, no. 2 (2020): 116–23. http://dx.doi.org/10.17673/vestnik.2020.02.16.
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The article shows the results of theoretical research in the fi eld of spatial development of the territory and the sett lement. Infrastructure provision of the forming Greater Samara megapolis is considered in the dialectical confrontation of internal and external infl uence factors in relation to the global transport map. The practical proposals for the territorial sett lement formation system of Samara province based on the development of towns interaction in the structure of the marginal zone of Samara agglomeration with peripheral local systems of rural sett lement are made. The author makes models of multi-modal transport and logistics hubs (Multihubs) in promising “growth poles”, which are going to be at the points of contact of the peripheral marginal zone of the Samara agglomeration with local rural settlement systems.
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Guo, Zihan, and Dezhi Han. "Multi-Modal Explicit Sparse Attention Networks for Visual Question Answering." Sensors 20, no. 23 (2020): 6758. http://dx.doi.org/10.3390/s20236758.
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Visual question answering (VQA) is a multi-modal task involving natural language processing (NLP) and computer vision (CV), which requires models to understand of both visual information and textual information simultaneously to predict the correct answer for the input visual image and textual question, and has been widely used in smart and intelligent transport systems, smart city, and other fields. Today, advanced VQA approaches model dense interactions between image regions and question words by designing co-attention mechanisms to achieve better accuracy. However, modeling interactions between each image region and each question word will force the model to calculate irrelevant information, thus causing the model’s attention to be distracted. In this paper, to solve this problem, we propose a novel model called Multi-modal Explicit Sparse Attention Networks (MESAN), which concentrates the model’s attention by explicitly selecting the parts of the input features that are the most relevant to answering the input question. We consider that this method based on top-k selection can reduce the interference caused by irrelevant information and ultimately help the model to achieve better performance. The experimental results on the benchmark dataset VQA v2 demonstrate the effectiveness of our model. Our best single model delivers 70.71% and 71.08% overall accuracy on the test-dev and test-std sets, respectively. In addition, we also demonstrate that our model can obtain better attended features than other advanced models through attention visualization. Our work proves that the models with sparse attention mechanisms can also achieve competitive results on VQA datasets. We hope that it can promote the development of VQA models and the application of artificial intelligence (AI) technology related to VQA in various aspects.
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Ahuja, Vineet, Ashvin Hosangadi, Jeremy Shipman, Russell Daines, and Jody Woods. "Multi-Element Unstructured Analyses of Complex Valve Systems." Journal of Fluids Engineering 128, no. 4 (2005): 707–16. http://dx.doi.org/10.1115/1.2170119.
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The safe and reliable operation of high-pressure test stands for rocket engine and component testing places an increased emphasis on the performance of control valves and flow metering devices. In this paper, we will present a series of high-fidelity computational analyses of systems ranging from cryogenic control valves and pressure regulator systems to cavitating venturis that are used to support rocket engine and component testing at NASA Stennis Space Center. A generalized multi-element framework with submodels for grid adaption, grid movement, and multi-phase flow dynamics has been used to carry out the simulations. Such a framework provides the flexibility of resolving the structural and functional complexities that are typically associated with valve-based high-pressure feed systems and have been difficult to deal with using traditional computational fluid dynamics methods. Our simulations revealed a rich variety of flow phenomena such as secondary flow patterns, hydrodynamic instabilities, fluctuating vapor pockets, etc. In the paper, we will discuss performance losses related to cryogenic control valves and provide insight into the physics of the dominant multi-phase fluid transport phenomena that are responsible for the “choking-like” behavior in cryogenic control elements. Additionally, we will provide detailed analyses of the modal instability that is observed in the operation of a pressure regulator valve. Such instabilities are usually not localized and manifest themselves as a system-wide phenomena leading to an undesirable chatter at high flow conditions.
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Su, Nan, Zhishuo Lin, Wenlong You, Nan Zheng, and Kun Ma. "RMGCS: Real-time multimodal garbage classification system for recyclability." Journal of Intelligent & Fuzzy Systems 42, no. 4 (2022): 3963–73. http://dx.doi.org/10.3233/jifs-212225.
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Management of garbage classification is a general term for a series of activities to sort, store and transport garbage into public resources according to certain regulations or standards. Current garbage classification systems have several drawbacks, such as inability to identify multiple garbage categories, and high dependence on the surrounding environment. To address these issues, this paper has proposed the Real Time Multi-Modal Garbage classification System (abbreviated as RMGCS). It consists of two sub systems: an indoor garbage classification applet (abbreviated as IGCA) and an outdoor garbage classification system (abbreviated as OGCS). IGCA provides users with three methods of garbage classification, and OGCS provides users with outdoor real-time multi-target garbage classification and can dynamically update the recognition model. RMGCS achieves real-time, accurate, and multimodal classification. Finally, the experiments with RMGCS show that our approaches are effective and efficient.
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Tytgat, L., J. I. R. Owen, and P. Campagne. "Development of a Civil Military Interface in Europe for Galileo." Journal of Navigation 53, no. 2 (2000): 273–78. http://dx.doi.org/10.1017/s0373463300008845.
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Satellite navigation has demonstrated its ability to enhance the safety and efficiency of multi-modal transport systems and act as a stimulant to economic growth and commercial development. The decision of the Transport Ministers to proceed with the definition stage of Galileo currently being funded by the European Commission and the ESA GalileoSat programme will include the complex question of security and defence considerations. Initial studies were completed over the past year in a Civil Military Interface study and by the GNSS Forum for Security and Defence Considerations. This paper presents the findings of the Civil Military Interface study undertaken for the European Commission, DGVII, that identified the security and military implications of a civil operated and controlled satellite navigation service for Europe.
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Zhao, Pengxiang, Aoyong Li, and Ali Mansourian. "Impact of transit catchment size on the integration of shared e-scooters in the public transport system." AGILE: GIScience Series 5 (May 30, 2024): 1–7. http://dx.doi.org/10.5194/agile-giss-5-56-2024.
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Abstract. E-scooter sharing has been commonly used to integrate public transport systems in many cities worldwide. Accurately modeling integration between shared e-scooters and public transport is important for multi-modal urban transportation development and management. However, the effects of catchment size are scarcely considered while modeling their integration by widely adopting the method based on the transit catchment area in previous studies. In this paper, we systematically quantify the impact of the size of the transit catchment area on the integration of shared e-scooters in the public transport system from statistical, temporal, and spatial perspectives. A case study is implemented in Stockholm, Sweden. The results indicate that the transit catchment size has a significant impact on their integration, especially on spatial patterns. This research calls for more attention to consider such catchment size effects to ensure the validity of integration results for urban mobility research and practice.
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Schrotenboer, Albert H., Paul Buijs, Gerlach Van der Heide, Tim Phoa, and Onur A. Kilic. "A share-first-plan-second policy for efficient cooperation in a multi-modal transportation corridor." Journal of Supply Chain Management Science 4, no. 3-4 (2023): 81–96. http://dx.doi.org/10.59490/jscms.2023.7104.
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Cooperation in transportation networks has been a cornerstone of policies towards more sustainable transportation, aiming to improve the modal split and increase the fill rates of transportation resources. Effective cooperation between transportation firms requires some form of joint planning, which is often challenging to implement from an IT perspective and difficult to sustain due to the reliance on advanced planning software. In this paper, we present a simple but effective policy for cooperative transportation that does not require a complex joint optimization of operations. In this share-first-plan-second policy, cooperating firms first develop a cyclic schedule for a fleet of shared transportation resources and then assign their shipments to the transportation resources in real time. The policy performs nearly as well as a jointly optimized planning of operations while not requiring advanced IT systems and planning software. Finally, the share-first-plan-second policy exhibits robustness against deviations from planned transport operations, enhancing its practical applicability.
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Li, Zhibin, Junfeng Jiao, and Chuan Ding. "Introduction to special issue: Innovations for transport planning in China." Journal of Transport and Land Use 13, no. 1 (2020): 409–12. http://dx.doi.org/10.5198/jtlu.2020.1834.
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We planned this special issue in response to the new opportunities and innovations for urban transport planning in China all of which can help build the smart transportation systems of the future. In preparation for the special issue, we organized the 19th COTA International Conference of Transportation Professionals (CICTP2019) with the theme of “Transportation in China 2025” in July 2017 and recommended high-quality submissions to this special issue. In the end, we received a total of 24 valid papers. After the standard peer-review process, we accepted eight papers for the special issue, with three focusing on built environment and travel activity, three focusing on road network distribution, and two focusing on data-driven traffic modeling. The special issue also has a well-balanced research focus on different types of transport modes, with two papers on multi-modal transport, three on personal cars, two on public bikes, and one on pedestrians.
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Ponkratov, Denys, Denys Kopytkov, and Victor Dolya. "A comprehensive analysis of the electronic fare collection systems effectiveness implementation on public transit and prospective directions of its application in Ukraine." Technology audit and production reserves 4, no. 2(72) (2023): 51–54. http://dx.doi.org/10.15587/2706-5448.2023.286614.
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The object of research is the effectiveness of the implementation of electronic fare collection systems on public transit. Applying the electronic fare collection systems is a general trend in improving public transport services for users. In the pre-war period, the systems began to be implemented in many cities of Ukraine. At the same time, this activity was not of a systemic nature and at the current stage it is mainly considered as a means of ensuring more convenient conditions for the use of scheduled passenger transport services for passengers. The article focuses on a broader understanding of the effectiveness of the fare collection systems implementation, their role in ensuring the internal integration of the multi-modal public transport system, increasing the operational efficiency, providing the safety of transportation and increasing the attractiveness of public transit services for the population as a real alternative for the private cars to use. The implementation efficiency of the electronic fare collection systems in public transit should be expressed through various aspects. There are 9 aspects to be considered: system integration; comfort ensuring; transportation safety assistance; operational efficiency and passengers' travel time reduction; integration into the management and planning systems; implementation of the flexible fare system; conduction of the flexible fare policy; development of reasonable income distribution system; increase of the scheduled passenger transport services attractiveness. It is suggested to use systemic approach for integrated multimodal public transit system creation. It requires the development of an intelligent transport system that would integrate separate functions of the electronic fare collection system into controlling, managing and planning subsystems. The practical introduction of the solutions proposed regarding the prospects to develop electronic fare collection systems in the cities of Ukraine will make it possible to increase the efficiency of their use and contribute to the improvement of the quality of transport services for passengers.
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Yang Tang, Yang Tang, Weiwei Liu Yang Tang, Saurabh Singh Weiwei Liu, Osama Alfarraj Saurabh Singh, and Amr Tolba Osama Alfarraj. "Passenger Flow Forecast for Low Carbon Urban Transport Based on Bi-Level Programming Model." 網際網路技術學刊 24, no. 5 (2023): 1067–77. http://dx.doi.org/10.53106/160792642023092405005.
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<p>In the context of low-carbon city development, this paper further implements a rail transit passenger flow forecasting method to optimize energy consumption by combining the MMA allocation model with a two-tier planning model for carbon emission control. Through this approach, this paper not only fills the gap of rail transportation planning theories and methods compatible with low-carbon city development, but also emphasizes the importance of energy consumption in transportation planning. Based on a two-tier planning model, this paper considers the Starkberg game between multi-modal and multi-type passenger flow forecasting of rail transit and CO2 emissions of integrated transportation systems. By optimizing the allocation of users in the transportation network from the perspective of both users and planners, while optimizing the CO2 emissions of the integrated transportation system, the dual optimization of energy consumption and environmental benefits is achieved. The method will also be tested in Shanghai, and this paper will comparatively study three different carbon emission control schemes. By assigning passenger flows to the entire transportation system network in Shanghai based on information from the Fourth Integrated Transport Survey, including passenger flows on each road in the road network, passenger flows on each rail line, and characteristic indicators, this paper provides a reliable data base. This study provides a solid foundation for planning the layout of rail transit in a low-carbon mode and makes a positive contribution to sustainable urban development by optimizing energy consumption.</p> <p>&nbsp;</p>
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Liang, Huilin, and Qingping Zhang. "Assessing the public transport service to urban parks on the basis of spatial accessibility for citizens in the compact megacity of Shanghai, China." Urban Studies 55, no. 9 (2017): 1983–99. http://dx.doi.org/10.1177/0042098017705846.
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Urban parks and public transport are indispensable elements of a compact megacity for their environmental and social values. However, few measures of urban park accessibility have considered the public transport travel mode. Based on the framework of geographic information systems (GIS) network analysis, this study proposes an innovative method to incorporate public transport travel mode into urban park accessibility evaluations. Taking Shanghai, China, as the study area, we measured home to park and park from home travel times on multi-modal transport networks, calculated the accessibilities by multiple equations, and compared accessibilities for different districts. These methods extend current accessibility measures by calculating accessibility at a realistic level, and provide a measure of public transport service for urban parks. The results for Shanghai show that approximately 99.95% of home to park routes might include public transport. The distribution of home to park public transport accessibility of the city was uneven. The patches with best accessibility tend to be distributed in the built-up area in the city centre. Public transport access to urban parks is inhomogeneous for different districts, because of urban park locations, road network characteristics, and uneven public transport supply. The distribution of park from home public transport accessibility has no significant correlation with district development stage. Public transport service in Shanghai takes no account of the factors of park star rating or size. Positive actions are required to improve the equity of public transport access to the important public health resources of urban parks.
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Hou, Jianan. "E-commerce Industry Supply Chain: Status, Problems and Countermeasures." Advances in Economics, Management and Political Sciences 71, no. 1 (2024): 131–36. http://dx.doi.org/10.54254/2754-1169/71/20241455.
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In recent years, the e-commerce industry has been developing rapidly, and at the same time, the quality level of e-commerce industry development is limited by the level of supply chain technology development. As a result, the development of supply chain technology has become the core of the driving force for various enterprises to pursue development. This paper analyses the supply chain status quo of e-commerce industry, finds the problems of excess inventory leading to backlogs, high loss rate of goods leading to waste of resources, and negative impacts caused by failure to deliver on time, and proposes the establishment of perfect supply chain management norms, the establishment of incentives, and the establishment of a research department; the use of cold chain transport, multi-modal transport, the use of automated systems, the establishment of inventory systems, the upgrading of technology, the enhancement of training, regular inspection and maintenance of equipment; the enhancement of management and management of equipment. Regular inspection and maintenance of equipment; strengthening management, improving risk control, establishing a supply network, optimizing routes, and improving service quality are some of the solutions.
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Kennedy, Fintan, P. J. White, and Hilary Dempsey. "Improving the Door-To-Door Customer Journey for a National Public Transport Company." Sustainability 16, no. 20 (2024): 8741. http://dx.doi.org/10.3390/su16208741.
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(1) Background: Public transport has a vital role to play in creating sustainable, accessible societies. Accessible and inclusive, door-to-door public transport systems with low barriers to use benefit everyone, increasing the mobility of citizens and improving independence. As the industry strives towards multi-modal and Mobility as a Service (MaaS) concepts, there is a need to delve deep into the needs and perceptions of transport user’s door-to-door journeys to find ways to improve. Accordingly, in order to increase the sustainability of MaaS, improving accessibility and understanding service user perceptions are of utmost importance. However, there is a scarcity of research within national transport services to determine unmet user needs to increase the accessibility and autonomy of door-to-door journeys. This research aims to investigate if it is possible to improve the door-to-door journey experience for public transport travellers, increasing the accessibility and the perception of autonomy via technology, and by doing so, providing a more sustainable alternative to road transport. It focuses on understanding service users of Ireland’s National Rail service, Irish Rail, to create key improvements in interactive systems. (2) Methods: The study applies a user-centred mixed-methods methodology using surveys (N = 316) and co-design workshops (four workshops N = 15). The research collected deep insights into the mindsets and needs of service users, showing the potential to improve this door-to-the-door customer journey. Key improvements for interactive systems were outlined. Experience maps were designed, leading to a Conceptual Design for a travel assistant to aid the service user throughout the door-to-door journey. (3) Results: Travellers’ autonomy and the sense of freedom they experience can be improved, mainly if their needs across the complete door-to-door customer journey are supported. Highlighted areas for action include information, accessibility, personal security, ticketing, comfort, facilities, and anxiety. (4) Conclusions: This research reiterates the need for national transport and MaaS providers to prioritise service users’ perspectives when developing sustainable services. Co-designing is recommended as a means of achieving this.
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Korshunov, Dmitry A. "Formation of the infrastructure complex inland water transport." Russian Journal of Water Transport, no. 72 (September 20, 2022): 111–20. http://dx.doi.org/10.37890/jwt.vi72.289.
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The article presents the results of a study on the prospects for the formation of a single infrastructure complex of inland waterway transport. The purpose of the study is to identify the prerequisites for the development of container transportation by inland waterways of Russia and substantiate the characteristics of the infrastructure framework of the inland waterway transport. The objectives of the study were the analysis of the provisions of the draft Transport Strategy until 2035, the analysis of foreign experience in the development and problems of functioning of foreign water transport systems, the identification of problems and urgent tasks of the development of transportation involving inland waterway transport. The article suggests the directions of scientific developments relevant to the domestic water transport system within the framework of the general research topic related to the renewal of infrastructure for the development of combined and multimodal transportation on the inland waterways of Russia, the justification of the parameters and characteristics of container ships, the justification of effective multi-modal schemes and container lines on the river-sea sections, modeling of standard (standardized) multimodal river terminals, the formation of digital platforms for the organization of cargo transportation in containers along the river routes of the country, as well as the formation of a system of regulations governing direct mixed and multimodal cargo transportation. As the results of the study, the standardization of the parameters of which will allow forming on its basis the framework of a multimodal system for the delivery of bulk carriers in containers with the participation of inland waterway transport.
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Zhao, Yi, Jian Lu, and Hongtong Qiu. "Applicability of Multi-modal Public Transport System Based on Accessibility Analysis." International Journal of Computer and Communication Engineering 4, no. 3 (2015): 211–18. http://dx.doi.org/10.17706/ijcce.2015.4.3.211-218.
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Pratiwi, Alfariani, Soedwiwahjono Soedwiwahjono, and Ana Hardiana. "TINGKAT KESIAPAN KOTA SURAKARTA TERHADAP DIMENSI MOBILITAS CERDAS (SMART MOBILITY) SEBAGAI BAGIAN DARI KONSEP KOTA CERDAS (SMART CITY)." Region: Jurnal Pembangunan Wilayah dan Perencanaan Partisipatif 6, no. 2 (2015): 34. http://dx.doi.org/10.20961/region.v6i2.8482.
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<p><em>The city has a problem that often arises due to the construction of their own city. To prevent that, city management needs through a sustainable approach to the concept of planning. Now, the concept of smart city is developing, where several major cities in Indonesia have started implementing the concept. Surakarta be a pioneer in the use of technology of transportation commonly called Intelligent Transport Systems(ITS). Surakarta indicated to apply the concept of smart city. Together with Indosat, subsidiary of PT. Starone Partner Telecommunications (SMT) cooperate to apply the concept of smart city in Surakarta for example, e-transportation. E-transportation similar to the principle of smart mobility in the theory of smart city. Howerver not only the application of smart mobility technology, but also need to look at the aspects that provide comfort, security, and sustainability.</em></p><p><em>This study wanted to see the level of readiness of Surakarta to smart mobility dimension as part of the smart city concept. The aspects of this research are local accessibility, international accessibility, multi-modal access, information and communication technology infrastructure supporting urban mobility, sustainable transport and safety. The analytical method used in this research is the analysis technique of scoring which assess the readiness of each aspect and the overall readiness. The results showed that Surakarta belongs to the category ready but conditional on the application of smart mobility. This means Surakarta need to do several requirements either repair or procurement in some aspects. Aspects that have been prepared but has some requirements which need to be done are the aspect of local accessibility, international accessibility, multi-modal access, and information and communication technology infrastructure supporting urban mobility. Sustainable transport and safety aspects belong to the category not ready to support the implementation of smart mobility in Surakarta.</em></p><p><em> </em></p><p><strong><em>Keywords</em></strong><em>: smart city, smart mobility, smart transportation</em></p>
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Wu, Telan, Hui Jin, and Xiaoguang Yang. "To What Extent May Transit Stop Spacing Be Increased before Driving Away Riders? Referring to Evidence of the 2017 NHTS in the United States." Sustainability 14, no. 10 (2022): 6148. http://dx.doi.org/10.3390/su14106148.
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With the emergence of ride-sourcing and ride-splitting services, more options are available to support shifts away from transit, where maintaining transit ridership increases requirements for transit service quality, so as to promote high-capacity and sustainable transport systems. In this endeavor, proper transit stop spacing is critical for both service accessibility and in-vehicle trip efficiency, as well as operation cost. This research explores acceptable stop spacing for three kinds of transit services from the perspective of travel behavior, drawing on the 2017 National Household Travel Survey in the United States. A stochastic frontier model is developed to infer passengers’ unobservable vertex of acceptable transit access times on the basis of observed walk time, which can be converted to the tolerance with respect to stop spacing with the average walking speed. Significant explanatory variables on the vertex of acceptable transit stop spacing are further identified with their quantified impacts, including household density, household income, wait time, trip distance, transfer, and maintenance purpose, while the inefficiency variance is significantly related to traveler age, wait time, secondary walk time, and trip frequency. Recommended response strategies follow. Findings from this study provide insights, guidelines, and implementation plans for different transit agencies when considering stop spacing redesign, to strengthen transit service appeal and to promote cooperative and sustainable multi-modal urban transport systems.
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А., BOKENKYZY,. "ҰЛЫБРИТАНИЯНЫҢ КӨЛІК ЖҮЙЕСІНІҢ ТАРИХЫ". Industrial transport of Kazakhstan, № 1(70) (18 березня 2021): 199–211. http://dx.doi.org/10.58420/itk.2021.70.1.017.
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The purpose of this article is to summarise the major changes affecting transport systems in the UK over the last 100 years. The first section identifies significant points of change in the main transport modes. The second section addresses the principal factors accounting for these changes. The third section examines the consequences for the economy, social inequality and the environment. The article also refers to the overarching trends and issues for consideration. From the historical analysis five issues were identified as relevant to the future of transport in the UK. Interactivity: while transport analysis and policy is often directed towards single modes (e.g. road, rail), it is clear that developments in some modes have been closely connected with those in others. Most journeys in the past were multi-modal. Mobility revolution: evidence points to a transformation in personal mobility in the later twentieth century, driven by consumer demand. Transformation has occurred in scale and scope in automobility, air travel and, more recently, rail travel. Overload: one of the results of the surge in the circulation of people and goods has been overloaded transport systems: congested roads, crowded trains and airports. Sustainability: since the oil crisis of 1973 the sustainability of transport has been a major issue, encompassing renewable resources, carbon emissions and pollution. Government has worked towards greater sustainability but it remains a major challenge. Alternatives: transport systems have been relatively stable over the last century, qualifying the idea of an imminent breakthrough to a new phase of transport. History suggests that change is as much a matter of recycling the old as introducing the new. The past thus remains an important resource for transport alternatives in the future. Осы мақаланың мақсаты – Ұлыбританиядағы соңғы 100 жылдағы көлік жүйелеріне әсер еткен негізгі өзгерістерді қорытындылау. Бірінші бөлімде негізгі көлік режимдерінің маңызды өзгеру нүктелері анықталған. Екінші бөлім осы өзгерістерді ескеретін негізгі факторларды қарастырады. Үшінші бөлім экономика, әлеуметтік теңсіздік және қоршаған орта үшін зардаптарды қарастырады. Мақалада негізгі тенденциялар мен қарастырылатын мәселелер туралы да айтылады. Тарихи талдаудан Ұлыбританиядағы көлік болашағына қатысты бес мәселе анықталғандығы туралы. Интерактивтілік: көліктік талдау мен саясат көбіне бір режимдерге бағытталса (мысалы, автомобиль, теміржол), кейбір режимдердегі өзгерістер басқаларымен тығыз байланысты болғаны анық. Бұрынғы саяхаттардың көпшілігі көпмодальды болған. Ұтқырлық төңкерісі: дәлелдер тұтынушының сұранысына негізделген ХХ ғасырдың кейінгі кезеңіндегі жеке мобильділіктің өзгеруіне нұсқайды. Трансформация масштабы мен ауқымында автомобильділікте, әуе қатынасында және жақында теміржол қатынасында болды. Шамадан тыс жүктеме: адамдар мен тауарлар айналымының күрт өсуінің нәтижелерінің бірі – көлік жүйелеріне шамадан тыс жүктеме болды: кептелген жолдар, адамдар көп жиналатын пойыздар мен әуежайлар. Тұрақтылық: 1973 жылғы мұнай дағдарысынан бастап көліктің тұрақтылығы жаңартылатын ресурстарды, көміртегі шығарындылары мен ластануды қамтитын маңызды мәселе болды. Үкімет орнықтылық үшін жұмыс істеді, бірақ бұл маңызды мәселе болып қала береді. Альтернативалар: көлік жүйелері соңғы ғасырда салыстырмалы түрде тұрақты болды, бұл көліктің жаңа кезеңіне жақындаған серпіліс идеясын талап етеді. Тарихтың айтуынша, өзгеріс ескіні қайта өңдеу сияқты, жаңаны енгізу болып табылады. Өткен уақыт болашақта көлік баламалары үшін маңызды ресурс болып қала береді. Цель этой статьи – обобщить основные изменения, затронувшие транспортные системы Великобритании за последние 100 лет. В первом разделе указаны важные моменты изменения основных видов транспорта. Во втором разделе рассматриваются основные факторы, объясняющие эти изменения. В третьем разделе рассматриваются последствия для экономики, социального неравенства и окружающей среды. В статье также упоминаются общие тенденции и вопросы для рассмотрения. На основе исторического анализа были определены пять вопросов, имеющих отношение к будущему транспорта в Великобритании. Интерактивность: хотя транспортный анализ и политика часто ориентированы на отдельные виды транспорта (например, автомобильный, железнодорожный), очевидно, что развитие некоторых видов транспорта было тесно связано с развитием других видов транспорта. Большинство путешествий в прошлом были мультимодальными. Революция мобильности: данные указывают на трансформацию личной мобильности в конце двадцатого века, обусловленную потребительским спросом. Масштабы и масштабы трансформации произошли в автомобильном, воздушном и, в последнее время, железнодорожном транспорте. Перегрузка: одним из результатов резкого увеличения движения людей и товаров стала перегрузка транспортных систем: перегруженные дороги, переполненные поезда и аэропорты. Устойчивость: после нефтяного кризиса 1973 года устойчивость транспорта была серьезной проблемой, включая возобновляемые ресурсы, выбросы углерода и загрязнение. Правительство работает над повышением устойчивости, но это остается серьезной проблемой. Альтернативы: транспортные системы были относительно стабильными в течение последнего столетия, что позволяет утверждать идею неизбежного прорыва к новому этапу развития транспорта. История подсказывает, что изменение – это вопрос повторного использования старого и внедрения нового. Таким образом, прошлое остается важным источником транспортных альтернатив в будущем.
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Qaiser, Fahham Hasan, Karim Ahmed, Martin Sykora, Alok Choudhary, and Mike Simpson. "Decision support systems for sustainable logistics: a review and bibliometric analysis." Industrial Management & Data Systems 117, no. 7 (2017): 1376–88. http://dx.doi.org/10.1108/imds-09-2016-0410.
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Purpose Decision making in logistics is an increasingly complex task for organizations as these involve decisions at strategic, tactical and operational levels coupled with the triple-bottom line of sustainability. Decision support systems (DSS) played a vital role in arguably solving the challenges associated with decision making in sustainable logistics. The purpose of this paper is to explore the current state of the research in the domain of DSS for logistics while considering sustainability aspects. Design/methodology/approach A systematic review approach using a set of relevant keywords with several exclusion criteria was adopted to identify literature related to DSS for sustainable logistics. A total of 40 papers were found from 1994 to 2015, which were then analyzed along the dimensions of publishing trend, geographic distribution and collaboration, the most influential journals, affiliations and authors as well as the key themes of identified literature. The analysis was conducted by means of bibliometric and text mapping tools, namely BibExcel, gpsvisualizer and VOSviewer. Findings The bibliometric analysis showed that DSS for sustainable logistics is an emerging field; however, it is still evolving but at a slower pace. Furthermore, most of the contributing affiliations belong to the USA and the UK. The text mining and keyword analysis revealed key themes of identified papers. The inherent key themes were decision models and frameworks to address sustainable logistics issues covering transport, distribution and third-party logistics. The most prominent sustainable logistics issue was carbon footprinting. Social impact has been given less attention in comparison to economic and environmental aspects. The literature has adequate room for proposing more effective solutions by considering various types of multi-criteria decision analysis methods and DSS configurations while simultaneously considering economic, environmental and social aspects of sustainable logistics. Moreover, the field has potential to include logistics from wide application areas including freight transport through road, rail, sea, air as well as inter-modal transport, port operations, material handling and warehousing. Originality/value To the best of the authors’ knowledge, this is the first systematic review of DSS for sustainable logistics using bibliometric and text analysis. The key themes and research gaps identified in this paper will provide a reference point that will encourage and guide interested researchers for future study, thus aiding both theoretical and practical advancements in this discipline.
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Cellina, Francesca, Dominik Bucher, José Veiga Simão, Roman Rudel, and Martin Raubal. "Beyond Limitations of Current Behaviour Change Apps for Sustainable Mobility: Insights from a User-Centered Design and Evaluation Process." Sustainability 11, no. 8 (2019): 2281. http://dx.doi.org/10.3390/su11082281.
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How can we encourage people to make sustainable mobility choices, reducing car dependency and the related CO 2 emissions and energy consumption? Taking advantage of the wide availability of smartphone devices, we designed GoEco!, an application (app) exploiting automatic mobility tracking, eco-feedback, social comparison and gamification elements to persuade individuals to change their mode of transport. The app features and contents are grounded in the transtheoretical model for behaviour change and were designed to avoid over-reliance on “one-size-fits-all”, simplistic point-based systems. The GoEco! app was designed in a user centred approach and was field-tested in Switzerland in a three-month experiment involving around 150 voluntary users. In this paper, we present the app’s features and comment on their evaluation from the perspective of the field-testers. The insights we collected through an online questionnaire and individual interviews allowed us to develop recommendations for similar persuasive apps and to identify open challenges for the future. In particular, we recommend to endow such apps with multi-modal travel planning components and features evoking the feeling of belonging to a community, that provide support and helping relationships.
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Zhang, Yanghanzi, Shuo Li, Philip Blythe, et al. "Attention Pedestrians Ahead: Evaluating User Acceptance and Perceptions of a Cooperative Intelligent Transportation System-Warning System for Pedestrians." Sustainability 14, no. 5 (2022): 2787. http://dx.doi.org/10.3390/su14052787.
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Warning system for pedestrians (WSP), one of cooperative intelligent transport system (C-ITS) applications, is designed to increase safety for pedestrians but also for drivers and other road users. The evaluation of end-user acceptance and perceptions of this technology is crucial before deploying it in transportation systems. Five WSP human–machine interfaces (HMIs) were designed and simulated using a driver’s first-view video footage of driving through a pedestrian crossing in Newcastle upon Tyne. The five WSP designs were evaluated with 24 younger end users (35 years old and younger). This study first evaluated the usefulness of the unified theory of acceptance and use of technology (UTAUT) in modelling end-user acceptance in terms of behavioural intentions to use WSP. The results suggest that the UTAUT can be applied to investigate the end-user acceptance of WSP, with performance expectancy and effort expectancy influencing the behavioural intentions to use WSP. Furthermore, we investigated end-user attitudes towards various WSP human–machine interface (HMI) designs. Participants showed more positive attitudes towards visual-only interfaces than towards audio-only and multi-modal (combinations of visual and audio) interfaces. Above all, the findings of this research increase our understanding of public acceptance and perceptions of this C-ITS application.
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Sehgal, P. C., and Teki Surayya. "Innovative Strategic Management: The Case of Mumbai Suburban Railway System." Vikalpa: The Journal for Decision Makers 36, no. 1 (2011): 61–72. http://dx.doi.org/10.1177/0256090920110105.
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Business organizations today have to survive and grow in a turbulent and volatile business environment. Continuous metamorphosis in technology, competition, inconsistent government policies, group dynamics of employees and militant unions, rational customers and their forums have been constantly reminding them to be more vigilant. Generation and rendering of services is often more vulnerable as services are perishable and dynamic. The strategic management of any service sector must be innovative and sustainable. Efficient urban transport systems are critical elements of the sustainable development of urban areas. This paper presents the innovative strategic management system of Mumbai Railway Vikas Corporation (MRVC) in addressing the Mumbai suburban public transport problems. An incredible 88 per cent of all travel in Mumbai is by bus and rail; this illustrates the popularity and necessity of having an effective and efficient public transport system, particularly the railways. The paper outlines a case study of US $2.5 billion expansion and improvement of the Suburban Railway Network, as a part of the multi-modal Mumbai Urban Transport Project (MUTP). Increase in suburban trains in Mumbai has not kept pace with the passenger demand and therefore loading in the existing suburban trains have increased and the travelling conditions in the trains have become unbearable. The paper gives an insight into the process of building social and political consensus while taking into consideration the aspirations of people for conducive and comfortable commutation. The diverse but integrated objectives that were achieved holistically, is indeed through innovative strategic management that led MRVC to attain customer satisfaction, energy conservations, socioeconomic benefits, environmental upgradation through afforestation, rain water harvesting, and noise reduction. MRVC is doing rain water harvesting, mangrove plantation, tree plantation and transplantation to compensate for cutting of tress at project sites. A glaring example of an infrastructure project that aptly envisaged ecological balance and environmental and social upgradation of slum dwellers. Innovative improvement in commuters' amenities including ventilation system, GPS-based passenger information system, pneumatic suspension for comfortable riding, etc., have enhanced customer satisfaction that is required for a long-term business growth.
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Checa-Garcia, Ramiro, Yves Balkanski, Samuel Albani, et al. "Evaluation of natural aerosols in CRESCENDO Earth system models (ESMs): mineral dust." Atmospheric Chemistry and Physics 21, no. 13 (2021): 10295–335. http://dx.doi.org/10.5194/acp-21-10295-2021.
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Abstract. This paper presents an analysis of the mineral dust aerosol modelled by five Earth system models (ESMs) within the project entitled Coordinated Research in Earth Systems and Climate: Experiments, kNowledge, Dissemination and Outreach (CRESCENDO). We quantify the global dust cycle described by each model in terms of global emissions, together with dry and wet deposition, reporting large differences in the ratio of dry over wet deposition across the models not directly correlated with the range of particle sizes emitted. The multi-model mean dust emissions with five ESMs is 2836 Tg yr−1 but with a large uncertainty due mainly to the difference in the maximum dust particle size emitted. The multi-model mean of the subset of four ESMs without particle diameters larger than 10 µ m is 1664 (σ=651) Tg yr−1. Total dust emissions in the simulations with identical nudged winds from reanalysis give us better consistency between models; i.e. the multi-model mean global emissions with three ESMs are 1613 (σ=278) Tg yr−1, but 1834 (σ=666) Tg yr−1 without nudged winds and the same models. Significant discrepancies in the globally averaged dust mass extinction efficiency explain why even models with relatively similar global dust load budgets can display strong differences in dust optical depth. The comparison against observations has been done in terms of dust optical depths based on MODIS (Moderate Resolution Imaging Spectroradiometer) satellite products, showing global consistency in terms of preferential dust sources and transport across the Atlantic. The global localisation of source regions is consistent with MODIS, but we found regional and seasonal differences between models and observations when we quantified the cross-correlation of time series over dust-emitting regions. To faithfully compare local emissions between models we introduce a re-gridded normalisation method that can also be compared with satellite products derived from dust event frequencies. Dust total deposition is compared with an instrumental network to assess global and regional differences. We find that models agree with observations within a factor of 10 for data stations distant from dust sources, but the approximations of dust particle size distribution at emission contributed to a misrepresentation of the actual range of deposition values when instruments are close to dust-emitting regions. The observed dust surface concentrations also are reproduced to within a factor of 10. The comparison of total aerosol optical depth with AERONET (AErosol RObotic NETwork) stations where dust is dominant shows large differences between models, although with an increase in the inter-model consistency when the simulations are conducted with nudged winds. The increase in the model ensemble consistency also means better agreement with observations, which we have ascertained for dust total deposition, surface concentrations and optical depths (against both AERONET and MODIS retrievals). We introduce a method to ascertain the contributions per mode consistent with the multi-modal direct radiative effects, which we apply to study the direct radiative effects of a multi-modal representation of the dust particle size distribution that includes the largest particles.
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Lee, Hoon Jeong, Arlene Chiu, Yida Lin, Sreyas Chintapalli, Serene Kamal, and Susanna Mitrani Thon. "(Invited) Parameter Prediction in Colloidal Quantum Dot Solar Cells Using Residual Neural Networks Trained on Experimental Data." ECS Meeting Abstracts MA2024-01, no. 23 (2024): 1375. http://dx.doi.org/10.1149/ma2024-01231375mtgabs.
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Colloidal quantum dots (CQDs) are an attractive third-generation material for photovoltaics, especially as infrared materials for multi-junction solar cells. Characterization and materials parameter prediction both play a critical role in the rising efficiencies in this field. However, there are numerous materials properties that need to be measured in order to fully characterize a device, leading to high research costs and slow development times. Here, we leverage recent advancements in machine learning (ML), along with a recently-demonstrated multimodal spectral characterization method [1], to predict complex materials parameters in CQD solar cells from simple current density-voltage (JV) curves, using an algorithm trained on experimental data.[2] Past work ML prediction of materials properties has focused on using simulated data due to the difficulty in collecting enough experimental data to fully train an algorithm. While it is not feasible to fabricate thousands of devices in a typical research lab, it is possible to measure several thousand points on a single device. We used a micrometer-resolution 2D characterization method with millimeter-scale field of view to acquire enough training data using only a handful of devices, while learning the spatial relationships between materials parameters. Photoluminescence, trap state density, transient photovoltage, transient photocurrent, and carrier mobility were predicted (Figure 1) by five different residual neural networks, each using a ResNet block and containing over 300k learnable parameters. The design of the networks were based on the ResNet50 architecture [3]. We also implemented a novel neighborhood approach to reduce errors and account for spatial correlations in device behavior, leading to insights into transport mechanisms and correlation lengths in CQD thin films. This method could be used to study a wide range of material systems and devices, ultimately leading to a universal prediction model that greatly simplifies the characterization process for optoelectronic devices and accelerates development times. References [1] Y. Lin, T. Gao, X. Pan, M. Kamenetska & S. M. Thon, Local Defects in Colloidal Quantum Dot Thin Films Measured via Spatially-Resolved Multi-Modal Optoelectronic Spectroscopy. Advanced Materials 32, 1906602 (2020). [2] H. J. Lee, A. Hofelmann, Y. Lin, & S. M. Thon, Predicting Materials Parameters in Colloidal Quantum Dot Photovoltaic Devices Using Machine Learning Models Trained On Experimental Data. 2022 IEEE 49th Photovoltaic Specialists Conference, 0862-0866 (2022). [3] O. Elharrouss, N. Almaadeed, S. Al-Maadeed, & Y. Akbari, Image inpainting: A review. Neural Processing Letters 51, 2007–2028 (2020). Figure 1
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Yuanyuan Zhang. "Design and Optimization of English-Speaking Teaching Model Using Virtual Reality Technology." Journal of Electrical Systems 20, no. 6s (2024): 276–85. http://dx.doi.org/10.52783/jes.2638.
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The advent of virtual reality (VR) technology has ushered in a new era in language education, offering innovative avenues for immersive and interactive learning experiences. This paper introduces a groundbreaking English speaking teaching model designed to harness the power of VR technology. Rooted in the imperative for authentic language practice, our model transports learners into virtual environments meticulously crafted to replicate real-life scenarios. Here, learners engage in conversational interactions, from everyday dialogues to professional exchanges, facilitated by interactive conversational agents. Complementing this immersive experience are adaptive learning algorithms that tailor exercises to individual proficiency levels, alongside multi-modal feedback mechanisms providing comprehensive guidance on pronunciation, intonation, and language usage. Through iterative refinement and a rigorous design methodology, our model seeks to enhance learner engagement, motivation, and proficiency across diverse skill levels.Preliminary pilot studies underscore the model's promise, with participants reporting heightened satisfaction, motivation, and perceived progress in English speaking skills. As we tread further into this innovative domain, future research avenues beckon, including investigations into long-term effectiveness, scalability, and integration into formal education systems. The convergence of VR technology and language education represents a paradigm shift, poised to redefine the dynamics of language acquisition and proficiency in an increasingly interconnected world.
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Tilg, Gabriel, Zain Ul Abedin, Sasan Amini, and Fritz Busch. "Simulation-Based Design of Urban Bi-modal Transport Systems." Frontiers in Future Transportation 1 (December 1, 2020). http://dx.doi.org/10.3389/ffutr.2020.581622.
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The three-dimensional passenger macroscopic fundamental diagram (pMFD) describes the relation of the network accumulation of public transport and private vehicles, and the passenger production. It allows for modeling the multi-modal traffic dynamics in urban networks and deriving innovative performance indicators. This paper integrates this concept into a multi-modal transport system design framework formulated as a simulation-based optimization problem. In doing so, we consider the competition for limited road space and the operational characteristics, such as congestion occurrences, at the strategic design level. We evaluate the proposed framework in a case study for the Sioux Falls network. Thereby, we deliver a proof of concept, and show that the proposed methodology indeed designs a transport system which benefits the overall system's performance. This paper further advances the integration of sequential model-based optimization techniques, macroscopic traffic flow concepts, and traffic simulation to design multi-modal transport systems. This supports transport planners and local authorities in composing efficient and robust transport networks.
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Yang, Yang, Zhao-Yang Fu, De-Chuan Zhan, Zhi-Bin Liu, and Yuan Jiang. "Semi-Supervised Multi-Modal Multi-Instance Multi-Label Deep Network with Optimal Transport." IEEE Transactions on Knowledge and Data Engineering, 2019, 1. http://dx.doi.org/10.1109/tkde.2019.2932666.
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Sipetas, Charalampos, Zhiren Huang, and Alonso Espinosa Mireles de Villafranca. "Evaluation Framework for Multi-Modal Public Transport Systems Based on Connectivity and Transfers at Stop Level." Transportation Research Record: Journal of the Transportation Research Board, March 3, 2024. http://dx.doi.org/10.1177/03611981241231963.
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Multi-modal public transport (PT) networks within metropolitan areas are often characterized by complexity resulting mainly from their infrastructure, design, operations, and demand. This complexity leads to a significant amount of effort on behalf of the transit agencies to properly evaluate their performance at certain locations and proceed with improvements. This study proposes a methodology based on clustering techniques that facilitates the evaluation of PT networks. The evaluation framework refers to the comparison between the levels of supply and demand at a certain stop. Service supply is quantified through an existing connectivity index, whereas demand is considered through the number of transfers that are performed at each stop. Transfers are critical within multi-modal mobility and often serve as a hindrance for choosing PT. The case study here is the Helsinki PT network in Finland. General Transit Feed Specification (GTFS) data are used for quantifying connectivity and a dataset deriving from smartphone ticketing application for quantifying transfers. Results include the evaluation for each PT mode and for the overall multi-modal PT network. Focusing on the evaluation of the overall multi-modal PT network, connectivity and transfers levels for 75.60% of stops are found to be well aligned. Therefore, these stops could be eliminated from the list of candidate stops for performing improvements. Of the remaining stops, 19.73% belongs to the case of higher connectivity than transfers and 4.67% to the case of lower connectivity than transfers. Stops included in these two cases require further attention and prioritization during planning processes.