Relevant bibliographies by topics / City planning Simulation methods

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'City planning Simulation methods'

Author: Grafiati
Published: 4 June 2021
Last updated: 28 January 2023

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Journal articles on the topic "City planning Simulation methods"

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Kirby, Adam M., J. Eric Dietz, Eric T. Matson, Joseph F. Pekny, and Cliff Wojtalewicz. "Major city evacuation planning using simulation modeling." International Journal of Disaster Resilience in the Built Environment 6, no. 4 (November 9, 2015): 397–408. http://dx.doi.org/10.1108/ijdrbe-07-2014-0058.

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Purpose – This study aims to provide data on the optimal staff, materials, space and time resources required to operate a regional hub reception center, a “short-term facility with the goal to process and transport displaced survivors (evacuees) to temporary or permanent shelters following a catastrophic incident” (Bonabeau, 2002). The facility will process approximately 20,000 evacuees over its entire seven-day duration following a disaster to assist in community resilience. Design/methodology/approach – The study was performed using a model created using the computer simulation software, AnyLogic. The software allowed for simulations to be performed on each of the three criteria: minimizing the space needed to run the hub, minimizing individual throughput time and minimizing total operation time. Findings – The results of the study demonstrated that the goals set forth by the Illinois-Indiana-Wisconsin Regional Catastrophic Planning Team could be improved upon and that the largest contributing factor to optimizing the regional hub reception center (RHRC) is finding the optimal number of total staff members to operate the facility. Originality/value – The value of the study lies in creating a life-saving environment for evacuees who could otherwise not evacuate themselves. The assistance provided by the RHRC gives displaced survivors a safe and organized method for evacuating a large city after a disaster. The study shows how computer models can help improve resilience in an urban area by planning the most efficient methods for evacuating it should it be necessary.
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Makarov, V. L., R. A. Bakhtizin, G. L. Beklaryan, and A. S. Akopov. "Simulation modeling of the smart city system: The concept, methods, and cases." Economic Analysis: Theory and Practice 19, no. 2 (February 28, 2020): 226–50. http://dx.doi.org/10.24891/ea.19.2.226.

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Subject. The research investigates key processes of urban life and its maintenance, including food supply, infrastructure, fire security, quality and accessibility of medical services, etc. The article also discusses the creation of a system supporting the Smart City decision-making process. Objectives. The research develops methods and tools to manage the Smart City system through system dynamics and agent-based modeling. Methods. Using simulation modeling, namely system dynamics and agent-based modeling (supported via Powersim and AnyLogic), we evaluate how multiple guiding parameters influence crucial characteristics of the Smart City system. Results. We devised an approach to designing the Smart City system through methods of system dynamics and agent-based modeling (supported via Powersim and AnyLogic) intended to streamline the decision making process for reasonable urban planning. Conclusions and Relevance. We propose the consolidated architecture of the Smart City decision-making system integrating the simulation models, data storage and city monitoring subsystem. The article describes the cases of simulation models implemented via Powersim and AnyLogic to support rational urban planning. The simulation models will significantly improve the quality of urban environment, satisfy the demand for food products, provide access to healthcare services and ensure effective rescue actions in case of emergency.
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Zhang, Hui, and Zhuang Yu. "Research on Energy Saving Design of Urban Planning under Climatic Environment Influence." Advanced Materials Research 616-618 (December 2012): 1254–59. http://dx.doi.org/10.4028/www.scientific.net/amr.616-618.1254.

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City climate, as one of the important component of city environment, plays an important role in affecting city space environment and urban planning. Taking the city Wu Han as a case, this paper introduces how to apply the CFD simulation of the digital model of metropolis to thermal environment study. Based on the phenomena of the thermal environment, tropical island effect and analysis, effective simulation results and the appropriate measures are given. Based on the analysis, some technical measures were discussed, such as city distribution, space shape and open space. According to the proof analysis, these measures are effective methods to improve the thermal environment of metropolis, and it is helpful to deal with the climate adaptability problems and energy saving design of the city.
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Yu, Deng, Liu Yanxu, and Fu Bojie. "Urban growth simulation guided by ecological constraints in Beijing city: Methods and implications for spatial planning." Journal of Environmental Management 243 (August 2019): 402–10. http://dx.doi.org/10.1016/j.jenvman.2019.04.087.

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Yi, Pingtao, Weiwei Li, and Lingyu Li. "Evaluation and Prediction of City Sustainability Using MCDM and Stochastic Simulation Methods." Sustainability 10, no. 10 (October 18, 2018): 3771. http://dx.doi.org/10.3390/su10103771.

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City sustainability is an important issue in the urbanization process. In this paper, the sustainability of 14 cities in Liaoning province in China is evaluated and predicted. The process of evaluating city sustainability is viewed as a multi-criteria decision-making problem. A simple additive weighting method is used for aggregating the normalized sustainability criteria data, built based on the three-pillar model and the associated weights. The results indicate that although the sustainability of the cities in Liaoning province is not perfect, the cities show better development momentum. For example, only two cities’ (Shenyang and Dalian) average performance scores in 2010–2016 were over 0.5, but all the cities’ sustainability improved in 2016 compared to 2010. We develop a stochastic simulation procedure used for predicting a city’s sustainability in future years. Many prediction results were obtained, including the maximum, minimum, and average performance scores of the cities, the pairwise priority matrix representing the ratio of one city outperforming another, and the ranking of cities’ sustainability with probabilities. The prediction results indicate various degrees of increase for almost all the cities’ sustainability in the future, which is consistent with the judgment of better development momentum determined from the evaluation results. Moreover, the cities of Dandong, Panjin may exceed Shenyang, Dalian, and rank in the top among all the cities in future years.
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Liu, Pu, and Zheng Hong Peng. "Three-Dimensional Modeling of Virtual City: Taking MultiGenCreator for Example." Advanced Materials Research 711 (June 2013): 617–22. http://dx.doi.org/10.4028/www.scientific.net/amr.711.617.

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The three-dimensional modeling of virtual city is one of the most basic and most important work in the simulation system of virtual city. This paper mainly summarizes the basic content and the key technologies of the three-dimensional modeling of virtual city, sets forth the modeling steps and methods based on MultiGenCreator and finally gives a brief summary of the application of this technology in urban planning and construction and geographic information system.
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Shi, Dan, and Lixin Song. "Research on the Application of Deep Learning Technology Oriented to the Construction and Innovation of Smart City Image Cognition." Discrete Dynamics in Nature and Society 2022 (January 5, 2022): 1–11. http://dx.doi.org/10.1155/2022/9809495.

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City image is the observer’s subjective impression of the city image. It is an important content of urban geography and planning research and has important guiding significance for shaping a unique urban space. Cognitive research on traditional urban imagery is mainly by means of questionnaires and image sketches. It has problems such as high cost, low update frequency, and limited data coverage, which cannot meet the needs of quantitative research on smart cities and urban economic development in the information age. With the advent of the era of big data and the development of Internet technology, there are more and more quantitative research results on smart city image cognition with the help of big data and deep learning technology. It will be a feasible way to apply it to urban image research. This article combines the development and transformation of smart cities with the transformation of urban planning and leads to an innovation in the construction of urban image cognition based on urban image, active representation data as the data source, and deep learning as the core technology. The theoretical connotation and cognitive dimension of urban imagery are expanded to establish a cognitive model of urban imagery. The city image is cognitively analyzed from three dimensions: image structure, image type, and image evaluation. Specific cities are taken as examples to verify the applicability and scientificity of the cognitive methods and models, so as to enhance the practicality and applicability of urban imagery in urban planning. At the same time, this research is used to answer the development dilemma of big data, summarize the development trend of big data, and explore the new changes that artificial intelligence brings to urban planning. The experimental results show that the model we designed efficiently evaluates the image of the city and can also effectively recognize the image of the city in the main urban area of Chongqing.
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Polat, N. "LIDAR DERIVED 3D CITY MODELLING." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIV-4/W3-2020 (November 23, 2020): 339–42. http://dx.doi.org/10.5194/isprs-archives-xliv-4-w3-2020-339-2020.

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Abstract. With the developing computer technologies and increasing data variety, academic and commercial studies started to move from 2 dimensions to 3 dimensions and within the concept of 3D Spatial Information Technology; Many new products and methods have emerged, such as the Digital Earth, Smart City, Virtual Reality, Intelligent Transportation Systems. 3D models of cities are now produced as well as 2D maps. These models can be used in many areas from urban planning, navigation applications, modelling of ancient cities to training and simulation applications. In this context, there are a few data set such as aerial images and LiDAR data, that can be used as 3D data source for modelling purposes. Within the scope of the study, an automatic 3D city model was produced with Envi LiDAR software.
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Debnath, Ripan, Christopher Pettit, and Simone Zarpelon Leao. "Geodesign Approaches to City Resilience Planning: A Systematic Review." Sustainability 14, no. 2 (January 14, 2022): 938. http://dx.doi.org/10.3390/su14020938.

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The increased frequency of extreme events facing society is placing mounting pressure on cities and regions that need more robust resilience planning against growing uncertainty. Data augmented participatory methods, such as geodesign, offer much promise in supporting strategic planning to make our cities and regions more resilient. In that context, this study aims to contribute to a deeper understanding of geodesign practices in resilience planning, through a systematic review of the selected 487 studies available from various bibliographic databases. The results indicate that a total of 75 studies were connected to resilience thinking, with a focus on climate change, floods, and sea level rise risks. A significant cluster of those resilience-related studies worked, especially, on improving sustainability. A detailed analysis of 59 relevant geodesign case studies revealed a strong underlying emphasis on disaster risk reduction and management activities. This study also noticed two prominent approaches among the analysed case studies to future city scenario planning: computational (41 studies), and collaborative (18 studies). It is recommended that an explicit integration of these two approaches into the geodesign approach can assist future city resilience planning endeavours. Thus, future research should further investigate the utility of integrating data-driven modelling and simulation within a collaborative scenario planning process, the usability of digital tools such as planning support systems within a collaborative geodesign framework, and the value of the plan’s performance evaluation during resilience decision-making. Another area for future work is increased community engagement in city resilience practices. The geodesign approach can provide a comprehensive framework for bringing communities, decision-makers, experts, and technologists together to help plan for more resilient city futures. Finally, while geodesign’s explicit role in empirical resilience implementations has been found to be low in this systematic review study, there are significant opportunities to support evidence-based and collaborative city resilience planning and decision-making activities.
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Wang, Jiayu, and Tian Chen. "A Multi-Scenario Land Expansion Simulation Method from Ecosystem Services Perspective of Coastal Urban Agglomeration: A Case Study of GHM-GBA, China." Land 11, no. 11 (October 30, 2022): 1934. http://dx.doi.org/10.3390/land11111934.

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Balancing urban development and ecosystem conservation in the context of natural resource scarcity can provide scientific guidance for land use planning. We integrated research methods, such as ecosystem services (ES) assessment, coastal vulnerability assessment, multi-objective linear planning, and land use change simulation, to develop a new model framework for multi-scenario urban land expansion simulation based on ecosystem services. In relation to the land use scale and constraints, we simulated three types of scenarios in 2035, including a status quo continuity scenario (SCS), economic development scenario (EDS), and ecological protection scenario (EPS), to explore the ideal land use optimization strategies to enhance ES and land use efficiency. The results indicated that the scale of construction land under the three scenarios grew, and arable land and grassland had the largest losses. The continued urban expansion in the Guangdong–Hong Kong–Macao Greater Bay Area has already had a significant negative impact on ecosystem services and could result in a total ESV loss of USD 28.1 billion by 2035 if an economic-first development model is adopted. Based on the hotspots of urban construction land expansion in the ecological–economic priority game, we proposed a classification and optimization strategy for land use, including proactive restoration of damaged ecological spaces with high ESVs (Zhaoqing City and Huizhou City), optimization of green space quality and formation of ecological corridors (Guangzhou City, Shenzhen City, Hong Kong, and Macao), and implementation of natural resource conservation planning and spatial regulation in the urban–rural integration area (Foshan City and Dongguan City). This research framework scientifically allocates the “quality” of ecosystem values and “quantity” of natural resources and provides a reference for regional “bottom-up” territorial spatial planning.
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Dissertations / Theses on the topic "City planning Simulation methods"

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Nahas, Mohamed M. El. "Energy saving through urban design : a microclimatic approach /." Title page, table of contents and abstract only, 1996. http://web4.library.adelaide.edu.au/theses/09PH/09phn153.pdf.

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Pietsch, Susan Mary. "The effective use of three dimensional visualisation modelling in the routine development control of urban environments : a thesis submitted to Adelaide University in candidacy for the degree of Doctor of Philosophy." Title page, contents and abstract only, 2001. http://web4.library.adelaide.edu.au/theses/09PH/09php626.pdf.

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"June 2001." Includes bibliographical references (leaves 346-352) Investigates technical and cultural issues in using three dimensional computer visualisation modelling in a busy Australian city planning office, the local Council of the City of Adelaide, taking two directions: a modelling approach that emphasizes abstract, quick to create 3D models; and, by examining the social and organizational issues. This dual view paints a broader picture of the potential of 3D modelling within planning practice including the impediments and possible solutions to them.
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Griffin, Sven Troy. "Study of methods for greenways acquisition in city planning." Thesis, Texas A&M University, 2005. http://hdl.handle.net/1969.1/2388.

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This study highlights the importance of incorporating greenways in city planning and addresses issues related to their acquisition. It documents what comprises greenways and why they are beneficial for the smart growth of a city. The research compares and evaluates methods of land acquisition by conducting a literature review and by analyzing the practices at the study site of the City of College Station, Texas. Combining the best-fit method with GIS modeling, a ranking system has been developed and used to identify likely greenway locations in College Station as a case study. Results indicate the validity and feasibility of this ranking system.
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Kaufmann, Talia. "Parameterizing land use planning : deploying quantitative analysis methods in the practice of city planning." Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/93806.

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Thesis: M.C.P., Massachusetts Institute of Technology, Department of Urban Studies and Planning, 2014.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 78-81).
Planning a city is a complex task. In particular, the practice of land use planning, which determines the quantities and locations of land uses we find in a city, is a highly complex process. Planners, developers and citizens involved in this process need to consider the multiple components of the urban system which are intertwined and connected in a complex network, and cannot be studied independently. While cities were extensively studied as complex adaptive systems over the last 50 years, showing universal patterns across countries, cultures and times, the practice of land use planning hasn't advanced as much and still deploys the rigid, macro-scale and local tool of zoning. This thesis will present a LEGO game planning methodology for urban land use that harnesses our understanding of cities as interconnected networks to enable a fine-grained, modular, incremental and universal development tool. Using a dataset summarizing the fine-grained location of commercial and public land uses in the 50 largest metropolitan areas in the U.S., this research will construct a catalog of urban models exploring similar patterns and their deviations across American cities. Utilizing the emerging patterns, this thesis will outline a methodology to produce quantitative planning guidelines in two main aspects: First, a method to assess land use quantities to support population levels will be demonstrated by implementing the scaling relationships found in cities from the Bettencourt et al research (2007). Next, a method to evaluate the spatial organization of cities will be presented by calculating co-location pairwise distances between amenities within city centers. The research will show that some co-location patterns are similar across cities, independent from land use quantities and urban density while others fluctuates between cities and depend on local characteristics. The LEGO game methodology will demonstrate an evolutionary iterative process to evaluate the liveliness of each urban environment, and explore the infinite possible assembly options of urban building blocks from various types and quantities, to enable a genuine datadriven decision making process for land use planning.
by Talia Kaufmann.
M.C.P.
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Li, Zhen. "Application of simulation techniques in development planning for caving methods." Thesis, University of British Columbia, 2012. http://hdl.handle.net/2429/42767.

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The mining industry globally is moving towards exploiting more mineral deposits by underground methods for several reasons. Large scale underground block/panel caving mining methods are becoming more popular due to the low operating costs associated with economies of scale. However, the planning for a caving mine is very challenging. Simulation techniques have been used successfully by many industries for a long time. They have proven to be valuable in assisting the mine planning process, forecasting the performance of modeled systems, and testing alternatives at very low cost. In this research, simulation techniques were applied in the planning phase of a panel caving mine. These techniques were based on the existing experience as well as new software technology development. A state-of-art mine development simulation software package, SimMine®, was used as a tool for this study. Oyu Tolgoi is a large copper-gold complex located in southern Mongolia. It contains the Hugo North deposit which will be extracted using the panel caving method. Pre-production development (PPD) will involve over 40 km of lateral development and 70,000 m³ of massive excavations. So the PPD time and cost will be significant. The global mining industry has only limited experience to ensure effectively the design and planning for such complex, large scale projects. A case study of the Hugo North Lift 1 PPD is the focus for the simulation outlined in this research thesis. A simulation model was developed for the PPD planning. This was found to more accurately predict long term lateral development and mass excavation rates and scheduled ventilation requirements. The process of simulation was significant in enabling the optimization of development planning and equipment selection. There appear to be considerable opportunities for simulation of such planning aspects in mining. This research aims to contribute to future software development that delivers more reliable and functional simulation tools for mining engineers. These should realize significant safety, financial and environmental advances through improved scheduling for PPD in the next generation of large, complex underground mines.
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Oleg, I. Kozhushnyan Oleg I. Kozhushnyan (Oleg Igorevich). "Virtual city testbed." Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/61167.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2010.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 35).
Traffic simulation is an important aspect of understanding how people move throughout various road systems. It can provide insight into the design of city streets and how well they can handle certain traffic patterns. There are various simulators available, ranging from free tools such as TRANSIMS to commercial implementations such as TransCAD. The available tools provide complex, large scale and very detailed simulation capabilities. The Virtual City Testbed addresses aspects that are not available in these tools. Primarily, the test bed provides the ability for interaction with the traffic system in real time. Instead of basing the simulation solely on automated vehicle models, we allow for human participants to interact with individual cars via a remote simulation client. Thus we are able to inject realistic human input into our simulation. A second feature provided by our simulation is the ability to disrupt a simulation in progress. A disruption usually involves disabling access to a set of streets which forces the traffic to adapt as it moves around the road system. This yields a way to study the way traffic motion changes within a road system under the presence of unexpected events such as natural disasters or other real life disruptions. Ultimately, we provide a test bed for studying traffic under varying environmental conditions.
by Oleg I. Kozhushnyan.
M.Eng.
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Bailey, William. "Using model-based methods to support vehicle analysis planning." Thesis, Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/50377.

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Vehicle system analysis models are becoming crucial to automotive designers wishing to better understand vehicle-level attributes and how they vary under different operating conditions. Such models require substantial planning and collaboration between multidisciplinary engineering teams. To improve the process used to create a vehicle system analysis model, the broader question of how to plan and develop any model should be addressed. Model-Based Systems Engineering (MBSE) is one approach that can be used to make such complex engineering tasks more efficient. MBSE can improve these tasks in several ways. It allows for more formal communication among stakeholders, avoids the ambiguity commonly found in document-based approaches to systems engineering, and allows stakeholders to all contribute to a single, integrated system model. Commonly, the Systems Modeling Language (SysML) is used to integrate existing analysis models with a system-level SysML model. This thesis, on the other hand, focuses on using MBSE to support the planning and development of the analysis models themselves. This thesis proposes an MBSE approach to improve the development of system models for Integrated Vehicle Analysis (IVA). There are several contributions of this approach. A formal process is proposed that can be used to plan and develop system analysis models. A comprehensive SysML model is used to capture both a descriptive model of a Vehicle Reference Architecture (VRA), as well as the requirements, specifications, and documentation needed to plan and develop vehicle system analysis models. The development of both the process and SysML model was performed alongside Ford engineers to investigate how their current practices can be improved. For the process and SysML model to be implemented effectively, a set of software tools is used to create a more intuitive user interface for the stakeholders involved. First, functionality is added to views and viewpoints in SysML so that they may be used to formally capture the concerns of different stakeholders as exportable XML files. Using these stakeholder-specific XML files, a custom template engine can be used to generate unique spreadsheets for each stakeholder. In this way, the concerns and responsibilities of each stakeholder can be defined within the context of a formally defined process. The capability of these two tools is illustrated through the use of examples which mimic current practices at Ford and can demonstrate the utility of such an approach.
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Brammer, Kenneth W. "A transient state maintenance requirements planning model." Thesis, Virginia Polytechnic Institute and State University, 1985. http://hdl.handle.net/10919/74512.

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A model is developed for use by logistics planners in determining period by period maintenance requirements for repairable item populations. The model generates maintenance requirements with respect to manpower and facility requirements and spare parts requirements. The model is capable of capturing nonsteady-state failure behavior of populations of repairable items. Each item within the population is broken down into one or more families of components and subcomponents that can have different failure/repair characteristics. Probability of component failure may be generally distributed. A specific data requirement for the model is established. The model is structured to allow the user to conduct various"what if gaming" through an iterative procedure on a personal computer. This research document includes a literature review that establishes a history of logistics modeling. The literature review provides impetus to the proposed research by defining a need for a transient state model for maintenance requirements planning. The model is validated by a case study involving the generation of maintenance requirements for a case population.
Master of Science
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Chiu, Yi-chang. "Generalized real-time route guidance strategies in urban networks." Access restricted to users with UT Austin EID Full text (PDF) from UMI/Dissertation Abstracts International, 2002. http://wwwlib.umi.com/cr/utexas/fullcit?p3077621.

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Jiang, JunSong. "Validating Fiscal Impact Analysis Methods for a Small Ohio City: Comparing the Outcomes of Two Average Cost Methods." University of Cincinnati / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1280780144.

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Books on the topic "City planning Simulation methods"

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Simulation, planning, and society. Westport, Conn: Praeger, 1997.

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Sheppard, S. R. J. Visual simulation: A user's guide for architects, engineers, and planners. New York: Van Nostrand Reinhold, 1989.

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V, Webster F., Bly P. H. 1942-, Paulley N. J. 1949-, Brotchie J. F, and International Study Group on Land-Use/Transport Interaction., eds. Urban land-use and transport interaction: Policies and models : report of the International Study Group on Land-Use/Transport Interaction (ISGLUTI). Aldershot, Hants, England: Avebury, 1988.

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Schäfer, Rudolf. Planspiel zum Baugesetzbuch: Methode und Ergebnisse des Praxistests--Text des Regierungsentwurfs. Berlin: Deutsches Institut für Urbanistik, 1986.

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Computer modelling for sustainable urban design: Physical principles, methods and applications. London: Earthscan, 2010.

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Jacobson, Eldon L. Evaluation of the TRAF family of models: Testing of the CORFLO and FRESIM models : final report, Research Project GC 8286, Task 17, TRAF Software for I-405 Lane Construction. [Olympia, Wash.?]: Washington State Dept. of Transportation, Washington State Transportation Commission, Transit, Research, and Intermodal Planning (TRIP) Division, in cooperation with U.S. Dept. of Transportation, Federal Highway Administration, 1992.

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Kas, Oosterhuis, and Escuela Técnica Superior de Arquitectura de Barcelona, eds. BCN speed and friction: The Catalunya Circuit city. Santa Fe, N. M: Lumen, Inc./SITES Books, 2004.

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A, Golden Peggy, ed. Corporation: A global business simulation. 2nd ed. Englewood Cliffs, N.J: Prentice Hall, 1994.

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A, Golden Peggy, ed. Corporation: A business strategy simulation. Englewood Cliffs, N.J: Prentice Hall, 1989.

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Smith, Jerald R. Corporation: A global business simulation. 4th ed. Upper Saddle River, N.J: Prentice Hall, 2003.

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Book chapters on the topic "City planning Simulation methods"

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Kolbe, Thomas H., and Andreas Donaubauer. "Semantic 3D City Modeling and BIM." In Urban Informatics, 609–36. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8983-6_34.

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AbstractSemantic 3D city modeling and building information modeling (BIM) are methods for modeling, creating, and analyzing three-dimensional representations of physical objects of the environment. Digital modeling of the built environment has been approached from at least four different domains: computer graphics and gaming, planning and construction, urban simulation, and geomatics. This chapter introduces the similarities and differences of 3D models from these disciplines with regard to aspects like scale, level of detail, representation of spatial and semantic characteristics, and appearance. Exemplified by the international standards CityGML and Industry Foundation Classes (IFC), information models from semantic 3D city modeling and BIM and their corresponding modeling approaches are explored, and the relationships between them are discussed. Based on use cases from infrastructure planning, approaches for integrating information from semantic 3D city modeling and BIM, such as semantic transformation between CityGML and IFC, are described. Furthermore, the role of semantic 3D city modeling and BIM for recent developments in urban informatics, such as smart cities and digital twins, is investigated and illustrated by real-world examples.
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Batty, Michael. "Introduction to Urban Science." In Urban Informatics, 11–14. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8983-6_2.

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AbstractThis introduction outlines a portfolio of theory and methods in the chapters that develop a basic urban science for urban informatics. Inductive and deductive methods for generating data, analytics, and urban simulation, form the focus. In this first Part of the book, the emphasis is on mobility, space-time theory, energy and infrastructure, the spatial economy, and the role of modelling in understanding and planning the smart city.
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Takizawa, Atsushi, and Yutaka Kawagishi. "Optimization of Evacuation and Walking-Home Routes from Osaka City After a Nankai Megathrust Earthquake Using Road Network Big Data." In Sublinear Computation Paradigm, 369–89. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-4095-7_15.

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AbstractWhen a disaster such as a large earthquake occurs, the resulting breakdown in public transportation leaves urban areas with many people who are struggling to return home. With people from various surrounding areas gathered in the city, unusually heavy congestion may occur on the roads when the commuters start to return home all at once on foot. In this chapter, it is assumed that a large earthquake caused by the Nankai Trough occurs at 2 p.m. on a weekday in Osaka City, where there are many commuters. We then assume a scenario in which evacuation from a resulting tsunami is carried out in the flooded area and people return home on foot in the other areas. At this time, evacuation and returning-home routes with the shortest possible travel times are obtained by solving the evacuation planning problem. However, the road network big data for Osaka City make such optimization difficult. Therefore, we propose methods for simplifying the large network while keeping those properties necessary for solving the optimization problem and then recovering the network. The obtained routes are then verified by large-scale pedestrian simulation, and the effect of the optimization is verified.
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Sadoun, B. "Simulation in City Planning and Engineering." In Applied System Simulation, 315–41. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-1-4419-9218-5_14.

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Lewis, Nelson P. "Progress and Methods." In Planning the Modern City, 338–58. London: Routledge, 2021. http://dx.doi.org/10.4324/9781003101086-18.

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Li, Yan, Jo Ivey Boufford, and José A. Pagán. "Systems Science Simulation Modeling to Inform Urban Health Policy and Planning." In Smart City Networks, 151–66. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-61313-0_9.

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Conniss, Richard. "Air Traffic Controllers Planning: A Rostering Problem." In Simulation Foundations, Methods and Applications, 237–49. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-55417-4_8.

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Mosshammer, Ralf, Konrad Diwold, Alfred Einfalt, Julian Schwarz, and Benjamin Zehrfeldt. "BIFROST: A Smart City Planning and Simulation Tool." In Advances in Intelligent Systems and Computing, 217–22. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-11051-2_33.

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Butterfield, Joe, and William McEwan. "Simulation Based Process Design Methods for Maintenance Planning." In Complex Engineering Service Systems, 335–54. London: Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-189-9_18.

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Glazunova, Elena, Andrey Deulin, Mikhail Kulikov, Nikolay Starostin, and Andrey Filimonov. "Multidimensional Interpolation Methods in Simulation Planning for Modeling." In Communications in Computer and Information Science, 376–88. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-78759-2_31.

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Conference papers on the topic "City planning Simulation methods"

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Xia, Fujun. "Study on the strategy of improving urban resilience from the perspective of sponge city construction." In Post-Oil City Planning for Urban Green Deals Virtual Congress. ISOCARP, 2020. http://dx.doi.org/10.47472/czos3123.

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Urban resilience refers to the ability of a city to cope with disasters and recover its basic functions rapidly. Urban transportation, urban infrastructure, urban public policy-making and other aspects can improve the resilience of the city. At present, the urban water environment in China is still deteriorating, and the rainstorm and waterlogging disasters are still frequent. Therefore, the author chooses the sponge city construction to study the strategies to improve the urban resilience. The author chooses two aspects of urban storm and waterlogging disaster control and surface runoff, which are closely related to the improvement of urban resilience, as the main research objects, selects specific evaluation indexes and proposes calculation functions, and adopts multiple research methods such as typical case study, spatial model simulation quantitative analysis, statistical analysis and empirical research, through arc GIS analysis, PCSWMM modeling and grasshopper data-based research By means of design and horizontal comparative study of three practical cases, this paper makes a qualitative and quantitative study on the strategy of sponge city construction performance to improve the city's resilience, and the quantitative research is mainly used. There are two main achievements in this study: a set of quantitative research methods to improve the resilience of sponge city construction is preliminarily explored through the application of the evaluation model; some strategies to improve the resilience of sponge city construction are proposed.
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Fu, Lin, Zhonghai Zheng, Hongfa Di, and Yi Jiang. "Urban Building Energy Planning With Space Distribution and Time Dynamic Simulation." In ASME 2008 2nd International Conference on Energy Sustainability collocated with the Heat Transfer, Fluids Engineering, and 3rd Energy Nanotechnology Conferences. ASMEDC, 2008. http://dx.doi.org/10.1115/es2008-54221.

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It’s important to deal with building energy-saving in one city level and plan the energy system from one building to one city level. It’s suggested strongly to conduct urban building energy planning in urban planning system in China. There are two main characteristics of urban building energy system. That is, firstly, the terminal building energy demand is dynamic timely, such as the heating, cooling, gas and electricity load of 8760 hours a year with peak and valley load. Secondly, the energy demand, energy sources supply, energy equipments and networks of heating, cooling, gas and electricity are distributed in urban space. It’s meaningful to conduct an innovative urban energy planning with space distribution and time dynamic simulation. In this paper, the energy planning method with space and time characteristics is presented and analyzed briefly. In the meanwhile, to meet the same energy demand in buildings, such as heating, air conditioning, gas and electricity, different energy equipments such as boiler, CHP, CCHP and heat pump based on different energy sources such as coal, gas and electricity can be planned and should be alternative among those energy sources and equipments. Thus, a well alternative urban energy system with high energy efficiency and low environmental emission should be simulated. Therefore, an urban building energy planning (UBEP) simulation tool developed by our research group is introduced. And finally, a case of energy planning in Beijing City in 2010 for heating and air conditioning system is simulated dynamically and analyzed.
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Zhao, Lin, Bingchen Liang, Hongda Shi, and Xiangzhu Liu. "Numerical Simulation and Practical Sand Silting in Waterways of Langya Bay." In ASME 2008 27th International Conference on Offshore Mechanics and Arctic Engineering. ASMEDC, 2008. http://dx.doi.org/10.1115/omae2008-57860.

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Dongjiakou Harbor is located at the Langya Bay in the city of Qingdao, Shandong Province. It is a multi-functional harbor of heavy passing capacity under planning in China. The sediment distribution and dispersion in the waterways and harbor basin water areas is of great importance to the construction and operation of the harbor. This article is based on the measurement of waves and currents as well as sediment suspension characteristics on site, and using numerical methods to predict the dispersion and deposition rules in this area. A combined wave-current-sediment model of COHERENS-SED is created through the combination of hydrodynamic model COHERENS and wave model SWAN as well as a sedimentation model SED developed by the authors. Inside COHERENS-SED, SWAN is regarded as a subroutine and it gets time and space varying current velocity and surface elevation from COHERENS. COHERENS gets time and space varying wave relevant parameters calculated by SWAN. Wave-enhanced bottom stress, wave dependent surface drag coefficient and radiation stress are introduced to COHERENS. Then a fully coupled hydrodynamic–sediment model COHERENS-SED accounting for interaction between the waves and currents is obtained and adopted to simulate these hydrodynamic conditions and the sedimentation processes in Langya Bay area. The open boundary of waves and currents is obtained through nesting from running a wider model which includes the Bohai Sea and the North Yellow Sea with coarser solution and contains coastal regions of Shandong Peninsula which includes the whole area of Langya Bay. Generally, the values of time series of current velocities, current directions and water levels as well as sediment concentrations have good agreements with observation data. The study shows the currents in the waterways and harbor basin water areas are relatively weak due to the narrow water width at the port mouth and the current directions parallel to the wharf directions. Also, sediment dispersion scales and strength are predicted according to the computation. The study also estimates the average sediment deposition amount and seabed erosion in this area. Besides, significant wave height and wave period obtained by COHERENS-SWAN shows that simulation result with wave-current interaction is better agreed with the measurement than the case without current.
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Nguyen, Tam V., Thanh Ngoc-Dat Tran, Viet-Tham Huynh, Bao Truong, Minh-Quan Le, Mohit Kumavat, Vatsa S. Patel, Mai-Khiem Tran, and Minh-Triet Tran. "Data-Driven City Traffic Planning Simulation." In 2022 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct). IEEE, 2022. http://dx.doi.org/10.1109/ismar-adjunct57072.2022.00185.

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Aschwanden, Gideon, Jan Halatsch, and Gerhard Schmitt. "Crowd Simulation for Urban Planning." In eCAADe 2008: Architecture "in computro" - Integrating methods and techniques. eCAADe, 2008. http://dx.doi.org/10.52842/conf.ecaade.2008.493.

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Abid, Nada M., and Saja S. Hussain. "Transportation network planning using simulation: Case study\ Al Mansour city." In 2017 2nd IEEE International Conference on Intelligent Transportation Engineering (ICITE). IEEE, 2017. http://dx.doi.org/10.1109/icite.2017.8056923.

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Leplat, Leo, Ricardo da Silva Torres, Dina Aspen, and Andreas Amundsen. "GENOR: A Generic Platform for Indicator Assessment in City Planning." In 36th ECMS International Conference on Modelling and Simulation. ECMS, 2022. http://dx.doi.org/10.7148/2022-0245.

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More and more data have been generated in city planning in the past few years. Clear visualizations of this data are helpful to support information comprehension and retention for urban practitioners and policy-makers. Much research has been carried out on modeling and integrating data, and different tools have been developed for visualizing urban data. However, such tools are generally application dependant and cannot address other problems. This work introduces GENOR, a generic platform for indicator assessment in city planning. It consists of a client-server application able to store and process any indicator and provide 2D and 3D map-based views for visualization. A game engine (Unity) was used to create the client application, and the server consists of a REST API and a DBMS. Two cases studies were conducted to show the use of the platform: walkability and bus service availability assessment, both in the city of Ålesund, Norway. Obtained results demonstrate that the platform is flexible as it can be tailored to different applications seamlessly.
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Bendinger, Alberto. "New approaches in urban simulation and city planning using virtual reality tools." In International Conference Virtual City and Territory. Barcelona: Centre de Política de Sòl i Valoracions, 2004. http://dx.doi.org/10.5821/ctv.7340.

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Keita, Eloi B., Valery Monthe, Pierre-Yves Lucas, and Bernard Pottier. "Simulation Tools and Methods of Physical Phenomena for Smart City." In 2018 International Conference on Advanced Control, Automation and Artificial Intelligence (ACAAI 2018). Paris, France: Atlantis Press, 2018. http://dx.doi.org/10.2991/acaai-18.2018.33.

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Shaferman, Vitaly, and Tal Shima. "Co-Evolution Genetic Algorithm for UAV Distributed Tracking in Urban Environments." In ASME 2008 9th Biennial Conference on Engineering Systems Design and Analysis. ASMEDC, 2008. http://dx.doi.org/10.1115/esda2008-59590.

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A distributed approach is proposed for planning a cooperative tracking task for a team of unmanned aerial vehicles (UAVs). In the scenario of interest UAVs are required to autonomously track, using their onboard sensors, a moving target in a known urban environment. The solution methodology involves finding visibility regions, from which a UAV can maintain a line of sight to the target during the scenario; and restricted regions, in which a UAV can not fly, due to the presence of buildings or other airspace limitations. A co-evolution genetic algorithm is derived for searching, in realtime, monotonically improving solutions. In the proposed distributed search method every UAV iteratively manipulates its own population of chromosomes, each encoding its control inputs in the calculated horizon. Team performance is attained by assigning fitness to each solution in the population based on the cooperative performance when using it together with preceding iteration tracking information obtained from teammates. Important attributes of the proposed solution approach are its scalability and robustness; and consequently it can be applied to large sized problems and adapt to the loss of UAV team members. The distributed nature of the algorithm also reduces the computation and communication loads. The performance of the algorithm is studied using a high fidelity simulation test-bed incorporating a visual database of the city of Tel-Aviv, Israel.
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Reports on the topic "City planning Simulation methods"

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Gupte, Jaideep, Louise Clark, Debjani Ghosh, Sarath Babu, Priyanka Mehra, Asif Raza, Vaibhav Sharma, et al. Embedding Community Voice into Smart City Spatial Planning. Institute of Development Studies, February 2022. http://dx.doi.org/10.19088/ids.2022.005.

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Public participation in spatial planning is a vital means to successful policymaking and can be enhanced by combining geospatial methods with participatory learning and action. Based on a pilot study in Bhopal, India involving urban authorities, civil society organisations and experts in an informal settlement during Covid-19 lockdowns, we find that the obstacles to sustaining public participation are not technological, but arise from a lack of awareness of the added value of ‘second order solutions’. We outline key approaches that emphasise short-term, feasible, and low-cost ways to embed community voice into participatory spatial planning.
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Iyer, Ananth V., Steven R. Dunlop, Olga Senicheva, Dutt J. Thakkar, Ruier Yan, Karthikeyan Subramanian, Suraj Vasu, Gokul Siddharthan, Juily Vasandani, and Srijan Saurabh. Improve and Gain Efficiency in Winter Operations. Purdue University, 2021. http://dx.doi.org/10.5703/1288284317312.

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This report analyzes the current service level of winter operations in Indiana and explores opportunities to optimize performance. We analyze data regarding winter operations managed by INDOT and provide specific quantified estimates of opportunities to improve efficiency while also managing costs. For our exploration, we use data provided by INDOT sources, qualitative insights from interviews with INDOT personnel, literature survey data and benchmarking information, salt and supplier data analysis, and simulation. As part of our research, we developed a simulation model to visually represent the impact of alternate management of trucks for snow removal and a dashboard to understand the impact. Our analysis suggests the following: (1) opportunities exist to coordinate salt delivery by suppliers and combine local city salt purchases with INDOT’s purchases to save costs, (2) adjusting routes will reduce deadhead, (3) understanding truck maintenance and truck locations improves performance, and (4) incorporating critical locations into snow route planning will meet service thresholds. These insights provide implementable recommendation initiatives to improve winter operations performance. The simulation tool developed in this project simulates various weather events to draw insights and determine appropriate resource allocations and opportunities for improving operational efficiency. The report thus provides a quantifiable approach to winter operations that can improve the overall service level and efficiency of the process.
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Allen, Luke, Robert Haehnel, and Yonghu Wenren. South Pole Station snowdrift model. Engineer Research and Development Center (U.S.), August 2022. http://dx.doi.org/10.21079/11681/44943.

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The elevated building at Scott-Amundsen South Pole Station was designed to mitigate the effects of windblown snow on it and the surrounding infrastructure. Because the elevation of the snow surface increases annually, the station is periodically lifted on its support columns to maintain its design height above the snow surface. To assist with planning these lifts, this effort developed a computational model to simulate snowdrift formation around the elevated building. The model uses computational fluid dynamics methods and synthetic wind record generation derived from statistical analysis of meteorological data. Simulations assessed the impact of several options for the lifting operation on drifts surrounding the elevated building. Simulation results indicate that raising the eastern-most building section (Pod A), or the entire station all at once, can reduce drift accumulation rates over the nearby arches structures. Long-term analyses, spanning 5–6 years, determine whether an equilibrium drift condition may be reached after a long period of undisturbed drift development. These simulations showed that after about 6 years, the rate of growth of the upwind drift slows, appearing to approach an equilibrium condition. However, the adjacent drifts were still increasing in depth at a roughly linear rate, indicating that equilibrium for those drifts was still several seasons away.
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Kodupuganti, Swapneel R., Sonu Mathew, and Srinivas S. Pulugurtha. Modeling Operational Performance of Urban Roads with Heterogeneous Traffic Conditions. Mineta Transportation Institute, January 2021. http://dx.doi.org/10.31979/mti.2021.1802.

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The rapid growth in population and related demand for travel during the past few decades has had a catalytic effect on traffic congestion, air quality, and safety in many urban areas. Transportation managers and planners have planned for new facilities to cater to the needs of users of alternative modes of transportation (e.g., public transportation, walking, and bicycling) over the next decade. However, there are no widely accepted methods, nor there is enough evidence to justify whether such plans are instrumental in improving mobility of the transportation system. Therefore, this project researches the operational performance of urban roads with heterogeneous traffic conditions to improve the mobility and reliability of people and goods. A 4-mile stretch of the Blue Line light rail transit (LRT) extension, which connects Old Concord Rd and the University of North Carolina at Charlotte’s main campus on N Tryon St in Charlotte, North Carolina, was considered for travel time reliability analysis. The influence of crosswalks, sidewalks, trails, greenways, on-street bicycle lanes, bus/LRT routes and stops/stations, and street network characteristics on travel time reliability were comprehensively considered from a multimodal perspective. Likewise, a 2.5-mile-long section of the Blue Line LRT extension, which connects University City Blvd and Mallard Creek Church Rd on N Tryon St in Charlotte, North Carolina, was considered for simulation-based operational analysis. Vissim traffic simulation software was used to compute and compare delay, queue length, and maximum queue length at nine intersections to evaluate the influence of vehicles, LRT, pedestrians, and bicyclists, individually and/or combined. The statistical significance of variations in travel time reliability were particularly less in the case of links on N Tryon St with the Blue Line LRT extension. However, a decrease in travel time reliability on some links was observed on the parallel route (I-85) and cross-streets. While a decrease in vehicle delay on northbound and southbound approaches of N Tryon St was observed in most cases after the LRT is in operation, the cross-streets of N Tryon St incurred a relatively higher increase in delay after the LRT is in operation. The current pedestrian and bicycling activity levels seemed insignificant to have an influence on vehicle delay at intersections. The methodological approaches from this research can be used to assess the performance of a transportation facility and identify remedial solutions from a multimodal perspective.
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INOPAL II Final Report. Population Council, 1996. http://dx.doi.org/10.31899/rh1996.1008.

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The goal of the Population Council's “Investigación Operacional en Planificación Familiar y Atención Materno-Infantil para América Latina y el Caribe” (INOPAL) program was to conduct operations research and provide technical assistance to improve the coverage, quality, and sustainability of family planning (FP) services in Latin America and the Caribbean. INOPAL II was the successor to INOPAL I (1984–1989). Like its predecessor, INOPAL II was supported by a contract from the USAID Office of Population, when it was replaced by a new USAID-funded project, INOPAL III. INOPAL II objectives included: expanding access to FP services, improving the operations of programs by making them more efficient, increasing access to the full range of contraceptive methods, providing more services to special population groups, and improving program quality. INOPAL II had offices in Bolivia; Guatemala; Haiti; Honduras; Mexico City, Mexico; and Lima, Peru. Dissemination activities included newsletters, conferences, handbooks, and publications. In addition to reporting on the activities carried out by the INOPAL II program, this report summarizes major research findings and discusses the effect of individual operations research subprojects on FP programs.
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