Journal articles: 'Crowd delivery'

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Bortolini, Marco, Francesca Calabrese, and Francesco Gabriele Galizia. "Crowd Logistics: A Survey of Successful Applications and Implementation Potential in Northern Italy." Sustainability 14, no. 24 (December 15, 2022): 16881. http://dx.doi.org/10.3390/su142416881.

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Nowadays, last-mile logistics represents the least efficient stage of supply chains, covering up to 28% of the total delivery cost and causing significant environmental emissions. In the last few years, a wide range of collaborative economy business models has emerged across the globe, rapidly changing the way services were traditionally provided and consumed. Crowd logistics (CL) is a new strategy for supporting fast shipping services, entrusting the management of the last-mile delivery to the crowd, i.e., normal people, who agree to deliver goods to customers located along the route they have to travel, using their own transport means, in exchange for a small reward. Most existing studies have focused on evaluating the opportunities and challenges provided by CL through theoretical analysis and literature reviews, while others have proposed models for designing such emerging distribution networks. However, papers analyzing real successful applications of CL worldwide are lacking, despite being in high demand. This study attempted to fill this gap by providing, at first, an overview of real CL applications around the globe to set the stage for future successful implementations. Then, the implementation potential of CL in northern Italy was assessed through a structured questionnaire delivered to a panel of 214 people from the Alma Mater Studiorum University of Bologna (Italy) to map the feasibility of a crowd-based system in this area. The results revealed that about 91% of the interviewees were interested in using this emerging delivery system, while the remaining respondents showed some concern about the protection of their privacy and the safeguarding of the goods during transport. A relevant percentage of the interviewees were available to join the system as occasional drivers (ODs), with a compensation policy preference for a fixed fee per delivery rather than a variable reward based on the extra distance traveled to deliver the goods.

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Punel, Aymeric, Alireza Ermagun, and Amanda Stathopoulos. "Push and Pull Factors in Adopting a Crowdsourced Delivery System." Transportation Research Record: Journal of the Transportation Research Board 2673, no. 7 (April 23, 2019): 529–40. http://dx.doi.org/10.1177/0361198119842127.

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This study explores push and pull factors affecting the adoption of crowdsourced delivery or crowd-shipping systems using a structural equation method. The core data used in this study are obtained from an online survey distributed among 800 individuals in June 2016 in the United States (U.S.) Analyzing the answers of 533 respondents, the direct and indirect effects of the personal attitudes, socio-demographic, and built-environment variables on the likelihood to be a crowd-shipper are looked at. The model suggests that crowd-shipping is more likely for men, full time employed, younger respondents, and for areas of higher population density yet lower density of employment opportunities. Concerning attitudinal motivations, the results suggest that financially motivated users are less likely to become crowd-shipping users, while community orientation and viewing the platform as a platform for helping relationships has only indirect effects on use. This leads to the observation that the early adopters appear to hold quite distinct, more critical, views of the ability of the new shipping platforms to deliver affordable and community-building service.

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Frehe, Volker, Jens Mehmann, and Frank Teuteberg. "Understanding and assessing crowd logistics business models – using everyday people for last mile delivery." Journal of Business & Industrial Marketing 32, no. 1 (February 6, 2017): 75–97. http://dx.doi.org/10.1108/jbim-10-2015-0182.

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Purpose The purpose of this paper is to evaluate the nature and characteristics of crowd logistics business models. Using this evaluation, a new concept for a sustainable implementation of crowd logistics services is proposed. Design/methodology/approach The Design Science process was followed to develop the proposed crowd logistics business model concept. The data are derived from expert interviews and a document-based data analysis of 13 companies. Findings Four relevant steps that companies should follow to implement sustainable crowd logistics services are identified. Open research questions are also identified and guide five research tasks, which may lead to a greater understanding of this emerging field. Research limitations/implications The present research is based on data from companies operating in Germany. The holistic approach gives a broad overview but lacks detailed descriptions. Practical implications Managers can use the four steps and the crowd logistics business model concept to plan future activities (e.g. new service provision). These steps increase the understanding, awareness and knowledge of opportunities and risks of specific crowd logistics services. Social implications This paper provides initial insights into social changes in terms of drivers for the use of crowd logistics services. However, further research is needed to capture the social implications in detail. Originality/value Crowd logistics is an emerging concept, and this paper is one of the first dealing with this topic generally and the first providing an analysis of crowd logistics business models. The developed concept includes implications for practice in the forms of common, and best practices, and science in the form of open research questions and tasks. Overall, the present research provides new insights into this emerging topic.

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Md Haron, Nor Rokiah Hanum, Khai Loon Lee, and Gusman Nawanir. "Assessing the Viability of Crowd Logistics for Last-mile Delivery: Case Studies in Malaysia Logistics Industry." e-Academia Journal 12, no. 1 (May 25, 2023): 62–73. http://dx.doi.org/10.24191/e-aj.v12i1.21542.

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This study focuses on crowd logistics challenges in Malaysian crowd logistics companies. To the author's best knowledge, there is limited empirical qualitative research on crowd logistics, especially in the Malaysian logistics sector. This research aims to identify and examine the challenges that hinder the success of crowd logistics and how crowd logistics can shape the future of the logistics industry. A semi-structured interview with six industry experts, including logistics service providers and platform operators, were selected in this study to gain insights into their experiences and perspectives on crowd logistics. Additionally, a data analysis process is presented. The findings of this study suggested three main themes and six sub-themes, including operation management, resource management, and technology and communication management as the main themes. The sub-themes include delivery operation, service offered, rider issues, demand issues, delivery platform, and technology implementation issues. This study provides implications in two-fold. First, for the theoretical implication, it provides empirical case studies and highlights critical challenges faced by crowd logistics companies in Malaysia. Secondly, for practical implications, it offers valuable insights for logistics companies, especially those engaged in crowd logistics, to understand the challenges customers and service providers face. However, this research is limited in its generalizability and triangulation studies which calls for further investigation.

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Yildiz, Baris, and Martin Savelsbergh. "Service and capacity planning in crowd-sourced delivery." Transportation Research Part C: Emerging Technologies 100 (March 2019): 177–99. http://dx.doi.org/10.1016/j.trc.2019.01.021.

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Mittal, Anuj, Amy A. Marusak, Caroline C. Krejci, Narjes Sadeghiamirshahidi, and K. Jamie Rogers. "Evaluating the Suitability of Crowd-Shipping Platforms for Small and Medium-Sized Enterprises." Sustainability 14, no. 21 (October 30, 2022): 14177. http://dx.doi.org/10.3390/su142114177.

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Crowd-shipping platforms have the potential to serve as flexible and low-cost logistics solutions for small and medium-sized enterprises (SMEs), which tend to have proportionally higher logistics costs than large companies. By increasing visibility and access to underutilized vehicle capacity, crowd-shipping platforms can offer lower rates than traditional delivery services. Leveraging excess capacity on premeditated delivery trips can also improve logistics efficiency and reduce emissions. However, high platform fees, insufficient carriers, and difficulty finding suitable platforms are common barriers to widespread adoption. This research evaluates the degree to which existing commercial crowd-shipping platforms can provide suitable transportation solutions for SMEs. A systematic search yielded 400 platforms, which were evaluated for SME suitability by requesting quotes for delivery service from each platform, based on typical shipping requirements of two agriculture-based SMEs in Texas. The responses and quotes that were received, as well as feedback from the case study SMEs, indicate that most existing platforms are unlikely to meet the needs of SME shippers. The results suggest ways in which crowd-shipping platform managers could take advantage of this market opportunity by tailoring the services and features of their platforms to better meet the expectations of SMEs.

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Wu, Daqing, and Junyang Cheng. "Dynamic Pricing and Logistics Service Decisions for Crowd Logistics Platforms with Social Delivery Capacity." Mathematical Problems in Engineering 2022 (December 23, 2022): 1–16. http://dx.doi.org/10.1155/2022/5018145.

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With the development of sharing economy, more and more enterprises choose crowd logistics for distribution. Because the crowd logistics platform uses social freelancers, the service quality is difficult to guarantee. Considering the reward-penalty mechanism, dynamic differential game models are constructed to study the optimal pricing and quality of crowd logistics services under stochastic demand based on the optimal control theory and Pontryagin maximum principle. The numerical simulation results show that the optimal dynamic decisions change with the fluctuation of demand dynamically. Furthermore, the platform needs to adjust the value of the reward-penalty factor to ensure the level of service quality and revenue in different situations.

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Huang, Lijuan, Guojie Xie, John Blenkinsopp, Raoyi Huang, and Hou Bin. "Crowdsourcing for Sustainable Urban Logistics: Exploring the Factors Influencing Crowd Workers’ Participative Behavior." Sustainability 12, no. 8 (April 12, 2020): 3091. http://dx.doi.org/10.3390/su12083091.

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With crowd logistics becoming a crucial part of the last-mile delivery challenge in many cities, continued participation of crowd workers has become an essential issue affecting the growth of the crowd logistics platform. Understanding how people are motivated to continue their participation in crowd logistics can provide some clarity as to what policies and measures should be undertaken by the industry to support its further growth. Using the Push–Pull–Mooring (PPM) theory, we developed a research model to explain the factors influencing crowd workers’ participative behavior. Survey data from 455 crowd workers were analyzed using SmartPLS3.0 software. The results show monetary rewards and trust have a significant positive impact on the willingness of crowd workers to continue participating in crowd logistics, while work enjoyment from previous work and entry barriers for work have a significant negative impact. Trust plays an intermediary role between monetary incentives and crowd workers’ willingness to continue participating. Based on the findings of this study, we recommend that crowd logistics platforms should offer reasonable monetary incentives and keep these under constant review, build a high degree of trust and cooperation with their crowd workers, and initiate activities geared towards promoting satisfaction at work.

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Wang, Wenjie, and Lei Xie. "Coordinating Demand and Supply for Crowd Logistics Platforms with Network Effect." Mathematical Problems in Engineering 2021 (June 28, 2021): 1–14. http://dx.doi.org/10.1155/2021/1567278.

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The crowd logistics platforms connect stochastic demand with uncertain delivery supply which is provided by independent service providers. Considering direct-network effects and cross-network effects between the demand and supply side, a dynamic surge pricing model for crowd logistics platforms is built. The pricing strategy is derived to coordinate the supply with demand to equilibrium. Furthermore, the pricing strategy minimizing cumulative delivery orders is analyzed. The numerical simulation results show that the dynamic surge pricing strategies can stimulate the uncertain delivery supply for maximizing platforms’ revenue. And, direct-network effects pose a positive impact on the dynamic surge pricing strategy. In contrast, the cross-network effects have a negative impact on the pricing strategy. However, direct-network effects and cross-network effects negatively influence platforms’ revenue.

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Martín-Santamaría , Raúl, Ana D. López-Sánchez , María Luisa Delgado-Jalón , and J. Manuel Colmenar . "An Efficient Algorithm for Crowd Logistics Optimization." Mathematics 9, no. 5 (March 2, 2021): 509. http://dx.doi.org/10.3390/math9050509.

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Crowd logistics is a recent trend that proposes the participation of ordinary people in the distribution process of products and goods. This idea is becoming increasingly important to both delivery and retail companies, because it allows them to reduce their delivery costs and, hence, to increase the sustainability of the company. One way to obtain these reductions is to hire external drivers who use their own vehicles to make deliveries to destinations which are close to their daily trips from work to home, for instance. This situation is modelled as the Vehicle Routing Problem with Occasional Drivers (VRPOD), which seeks to minimize the total cost incurred to perform the deliveries using vehicles belonging to the company and occasionally hiring regular citizens to make just one delivery. However, the integration of this features into the distribution system of a company requires a fast and efficient algorithm. In this paper, we propose three different implementations based on the Iterated Local Search algorithm that are able to outperform the state-of-art of this problem with regard to the quality performance. Besides, our proposal is a light-weight algorithm which can produce results in small computation times, allowing its integration into corporate information systems.

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Sampaio, Afonso, Martin Savelsbergh, Lucas P. Veelenturf, and Tom Van Woensel. "Delivery systems with crowd‐sourced drivers: A pickup and delivery problem with transfers." Networks 76, no. 2 (July 10, 2020): 232–55. http://dx.doi.org/10.1002/net.21963.

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Сивакс, А. Н., В. А. Фейман, and О. А. Горбунова. "Crowdsourcing in logistics today: a study of the Russian market." Экономика и предпринимательство, no. 3(140) (June 17, 2022): 1218–20. http://dx.doi.org/10.34925/eip.2022.140.03.235.

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В статье представлено определение понятия «краудсорсинг». Авторы отразили основные термины, связанные с концепцией логистического краудсорсинга, представлено само определение понятия «крауд-логистика». Рассмотрен путь её возникновения, определены основные преимущества концепции. Отражены особенности крауд-логистики. Базируясь на статистических данных и данных отчётности, проведён анализ российского рынка в части использования крауд-логистики в качестве модели ведения бизнеса в сервисах Яндекс, Delivery Club, Uber. The article presents the definition of the concept of "crowdsourcing". The authors reflected the main terms related to the concept of logistics crowdsourcing, the definition of the concept of "crowd logistics" is presented. The way of its origin is considered, the main advantages of the concept are determined. The features of crowd logistics are reflected. Based on statistical data and reporting data, the analysis of the Russian market regarding the use of crowd logistics as a business model in Yandex, Delivery Club, and Uber services was carried out.

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Galkin, Andrii, Tibor Schlosser, Ivan Cardenas, Dominika Hodakova, and Silvia Capayova. "Freight Demand and Supply Assessment for Implementation of Crowdsourcing Technology: A Case Study in Bratislava, Slovakia." Sustainability 13, no. 7 (March 31, 2021): 3865. http://dx.doi.org/10.3390/su13073865.

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The article studies the development of crowd shipping technologies in the Old Town of Bratislava. The paper aims to assess the potential for implementation of the crowdsourcing technology in the transport system of Bratislava. Methodology: An interview with the entrepreneurs in this area was conducted to assess the potential demand. In the survey, we collected information about type of goods; operations, quantities, and frequency of delivery; willingness to pay for one delivery among others. Based on the results, the freight demand, and its characteristics were assessed. The second part of the paper is devoted to assessing the supply of logistics to meet the demand. A survey of the willingness of ordinary travelers to work as an occasional courier was conducted. In the end, the equilibrium of demand and supply in the crowd shipping market in Bratislava is presented. The regression and correlation analysis were performed to understand the relationship between parameters of demand and delivery quantities in the first part of the research, sociodemographic characteristics of nonprofessional couriers, and the maximum weight of the parcel nonprofessional couriers agree to delivery. The willingness to pay per delivery was determined for respondents of different genders. Key findings: The results of the survey allowed us to estimate the freight demand for the Old Town of Bratislava, as well as to understand the needs of potential demand for crowd shipping services. The results of the second questionnaire show the sociodemographic characteristics of nonprofessional couriers (age, gender, gender, income, travel time) significantly influence the decision to participate in the delivery market.

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Wu, Xue, Dawei Hu, and Tianyang Gao. "Green pickup and delivery problem with private drivers for crowd-shipping distribution considering traffic congestion." International Journal of Industrial Engineering Computations 16, no. 1 (2025): 129–46. https://doi.org/10.5267/j.ijiec.2024.10.006.

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Crowd-shipping, employing private drivers to partially replace company-owned trucks in distribution, has emerged as a prominent trend for its cost-effectiveness and sustainability. While crowd-shipping is known as a distribution pattern that combines economic efficiency and environmental benefits, however, the frequent occurrence of traffic congestion has made this pattern less effective than it should be. In this research, the problem of vehicle routing optimization under traffic congestion is investigated from the perspective of simultaneously reducing environmental pollution and costs. Considering private drivers picking up and delivering parcels on the way, this study incorporates the objective of minimizing transport as well as particulate matter (PM) and nitrogen oxides (NOx) emission costs into route optimization for crowd-shipping and proposes a Green Pickup and Delivery Problem with Private Drivers (GPDP-PD). To be more realistic, vehicle speeds depend on the level of traffic congestion, reflecting the time-dependent nature of the proposed model. An improved adaptive large neighborhood search (ALNS) algorithm is developed, and computational experiments are conducted to demonstrate the efficiency of the improved ALNS. Case studies show that there is uncertainty about the environmental benefits of crowd-shipping under traffic congestion. Our proposed model is capable of efficiently allocating private drivers and optimizing vehicle routes according to road conditions, thus identifying the crowd-shipping operational scheme with the lowest cost and emissions. Moreover, a time limit of 0.7-0.8 h and the low cost of private drivers can achieve environmental and economic benefits simultaneously. It provides useful insights into the sustainability of logistics and distribution.

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Agrawal, Shantanu, Christopher Chen, and Craig P. Tanio. "Crowd-sourcing delivery system innovation: A public–private solution." Healthcare 3, no. 1 (March 2015): 2–4. http://dx.doi.org/10.1016/j.hjdsi.2014.08.002.

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Belhaj, Oumaima, and Gilles Paché. "Une lecture logistique de l’économie collaborative." La Revue des Sciences de Gestion N° 305, no. 5 (April 20, 2021): 25–34. http://dx.doi.org/10.3917/rsg.305.0029.

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La crowd delivery en tant que modèle d’affaires connaît un succès grandissant depuis une dizaine d’années. Elle s’appuie sur un schéma organisationnel original qui utilise les ressources logistiques dormantes de la foule pour leur confier des activités liées à la gestion du dernier kilomètre. Le modèle d’affaires s’inscrit dans le droit fil de l’économie collaborative et conduit à l’apparition de nouveaux intermédiaires détenteurs de plateformes d’échange. L’article se fixe pour objectif de mieux comprendre les fondements de la crowd delivery, en faisant référence à quatre situations de gestion fondées sur des récits fictionnels qui ouvrent des perspectives de recherche stimulantes pour de futurs travaux.

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Oberoi, Swati, Smita Srivastava, Vishal K. Gupta, Rohit Joshi, and Atul Mehta. "Crowd Reactions to Entrepreneurial Failure in Rewards-Based Crowdfunding: A Psychological Contract Theory Perspective." Journal of Risk and Financial Management 15, no. 7 (July 8, 2022): 300. http://dx.doi.org/10.3390/jrfm15070300.

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Rewards-based crowdfunding (RBC) has recently gained popularity as an alternative means of finance to help entrepreneurs bring novel projects to life. We theorize that crowdfunding backers perceive an implicit psychological contract with campaign creators. When promised rewards fail to materialize post fundraising, backers may perceive entrepreneurs’ failure to deliver rewards as a violation of their psychological contract with him or her. Drawing on psychological contract theory and using Eisenhardt’s comparative case methodology, we generate insights about crowd reactions to creators’ failure to deliver rewards to backers. Our research generates the novel insight that in the event of delivery failure, backers who perceive a transactional psychological contract with creators are more likely to display negative emotional reactions, while backers who perceive a relational psychological contract are more likely to display positive emotional reactions. Furthermore, we identify three progressive stages of backers’ interaction with creators in failed RBC campaigns, ‘committing’, ‘crisis handling’, and ‘coping-up’ and highlight the crowds’ emotional valence associated with each stage. Our analyses of the campaign comments reveal insights of interest to RBC players and hold implications for the future development of crowdfunding.

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Felemban, Emad, Adil A. Sheikh, and Atif Naseer. "Improving Response Time for Crowd Management in Hajj." Computers 10, no. 4 (April 6, 2021): 46. http://dx.doi.org/10.3390/computers10040046.

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Flying Adhoc Network (FANET) is a particular type of Mobile Adhoc Network (MANET) that consists of flying drones or unmanned aerial vehicles (UAVs). MANETs are especially useful in rural and remote areas, where the lack of public networks necessitates data delivery through mobile nodes. Additionally, FANETs provide better coverage where there is a lack of roads. Generally, the goal of FANETs is to provide multimedia data to applications such as search and rescue operations, forest fire detection, surveillance and patrol, environmental monitoring, and traffic and urban monitoring. The above applications’ performance and efficiency depend on the quality and timely delivery of these essential data from an area of interest to control centers. This paper presents a Priority-based Routing Framework for Flying Adhoc Networks (PRoFFAN) for the expedited delivery of essential multimedia data to control centers. PRoFFAN reduces the FANET application’s response time by prioritizing the sending and forwarding of critical image data from the UAV to the control center. Our motivation application is crowd management; we believe that having important image features as early as possible will save lives and enhance the crowd’s safety and flow. We integrated PRoFFAN over the RPL routing layer of Contiki-NG’s IPv6 network stack. We used simulations in Cooja to demonstrate the benefit of PRoFFAN over conventional ZigBee.

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Alharbi, Ahmad, Chantal Cantarelli, and Andrew Brint. "Crowd Models for Last Mile Delivery in an Emerging Economy." Sustainability 14, no. 3 (January 26, 2022): 1401. http://dx.doi.org/10.3390/su14031401.

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The dramatic rise in online shopping means that the last mile delivery (LMD) task is becoming extremely important. However, last mile delivery faces many economic, social, and environmental challenges. A fast-growing innovative solution is Crowd Logistics Delivery (CLD). This study investigates how CLD is meeting these challenges in a rapidly emerging economy (Saudi Arabia). It uses semi-structured interviews to analyse CLD from the perspectives of multiple stakeholders, focusing on its implementation, benefits to different stakeholders, and its limitations. While the findings of this study broadly support the work of other studies in this area, it provides several new insights. It observed three different business models being used for CLD: B2B, B2C, and C2C. It identified the internal success factors of each business model, including registration, assigning orders, compensation, and the payment model. It revealed the motivations for stakeholders to use CLD as a last mile delivery solution, such as LMD-related benefits and the social impact on society. In addition, the study highlighted the four main challenges these CLD implementations face that impede their success: legislation, availability of supply/drivers, trust, and culture. These results add to the rapidly expanding field of CLD.

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Saglietto, Laurence. "Bibliometric analysis of sharing economy logistics and crowd logistics." International Journal of Crowd Science 5, no. 1 (March 22, 2021): 31–54. http://dx.doi.org/10.1108/ijcs-07-2020-0014.

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Purpose This study aims to review the literature on sharing economy logistics and crowd logistics to answer the three following questions: How is the literature on sharing economy logistics structured? What are the main trends in sharing economy logistics and crowd logistics? What are the future research options? Design/methodology/approach Bibliometric analysis is used to evaluate 85 articles published over the past 12 years; it identifies the top academic journals, authors and research topics contributing to the field. Findings The sharing economy logistics and crowd logistics literature is structured around several disciplines and highlights that some are more scientifically advanced than others in their subject definitions, designs, modelling and innovative solutions. The main trends are organized around three clusters: Cluster 1 refers to the optimal allocation of costs, prices, distribution and supplier relationships; Cluster 2 corresponds to business related crowdsourcing and international industry practices; and Cluster 3 includes the impact of transport on last-mile delivery, crowd shipping and the environment. Research limitations/implications The study is based on data from peer-reviewed scientific journals and conferences. A broader overview could include other data sources such as books, book chapters, working papers, etc. Originality/value Future research directions are discussed in the context of the evolution from crowd logistics to crowd intelligence, and the complexities of crowd logistics such as understanding how the social crowd can be integrated into the logistics process. Our results are part of the crowd science and engineering concept and provide some answers about crowd cyber-system questions regarding crowd intelligence in logistic sector.

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Stanković, Aleksandra, Milan Andrejić, Vukašin Pajić, Milorad Kilibarda, and Dragan Djurdjević. "A Novel Survey-QFD-WASPAS Methodological Approach for Designing Crowd Storage Platforms: A Case Study of Serbia." Sustainability 15, no. 10 (May 12, 2023): 7929. http://dx.doi.org/10.3390/su15107929.

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The concept of crowd logistics has been present in practice for several decades, while it has gained importance in the literature in recent years. Crowd delivery is a widely accepted concept, while crowd storage is still nowhere near its potential. To the best of the authors’ knowledge, there are no scientific papers dealing with crowd storage in the literature. Crowd storage is one of the categories of crowd logistics services, which involves renting free space on the basis of an agreement, usually between individuals, using specialized online platforms, which are also markets for crowd storage services. Since the concept has not been researched in the literature so far, this paper focuses on several aspects. A unique methodological approach that includes three phases is proposed in this paper. In the first phase, research regarding crowd storage services in the world is carried out. The second phase involves research regarding the crowd storage services in Serbia. The third phase, at the same time the most complex, in the first step defines user requirements and the required resources for the development of crowd storage platforms based on the survey results. In the second step, the weights of the criteria are determined by applying the QFD method. In the third step, the WASPAS method is used for the software solution selection. Furthermore, the results of the research show that crowd storage services in Serbia are still not experiencing expansion. Finally, based on the results of the survey, and by applying the QFD method, user requirements are determined, as well as the resources needed. The crowd storage platform is the alternative with the highest value after the evaluation. Bearing in mind the aforementioned, the justification for the introduction of the specialized online crowd storage platform is confirmed. The concept itself creates numerous positive effects of sustainability: human, social, economic, and environmental.

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Cieplińska, Jagienka, and Agnieszka Szmelter-Jarosz. "Toward Most Valuable City Logistics Initiatives: Crowd Logistics Solutions’ Assessment Model." Central European Management Journal 28, no. 2 (June 15, 2020): 38–56. http://dx.doi.org/10.7206/cemj.2658-0845.21.

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Introduction: Crowd logistics is a widely accepted concept in times of the growing popularity of sharing economy solutions. The popularity of e-commerce and a tendency to provide same-day delivery are the main reasons for their development. Developing those trends requires new products and services, now available on the market, known in the transport area as crowd logistics solutions. Purpose: The purpose of the paper is to provide a tool for assessing crowd-logistics solutions, taking into consideration customers’ requirements. The text includes groups of environmental, economic, and social criteria to facilitate the choice of the best crowd logistics solution for freight transport. Methodology: The research is based on the critical analysis of different sources (literature, European Commission reports, other reports and analyses) and practical solutions in the field of crowd logistics. The main data analysis method is the Analytic Hierarchy Process, usually used to evaluate variants in decision-making processes. This method was chosen because of the variety of data types (quantitative and qualitative) and formats, its popularity, universality, and replicability. Results: This paper contains ready-to-use weights for the assessment of crowd logistics solutions. The proposed set of criteria and weights can be a useful tool for customers to evaluate the sharing- -economy services landscape in the areas they manage.

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Macrina, Giusy, Luigi Di Puglia Pugliese, and Francesca Guerriero. "Crowd-shipping: a new efficient and eco-friendly delivery strategy." Procedia Manufacturing 42 (2020): 483–87. http://dx.doi.org/10.1016/j.promfg.2020.02.048.

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Yu, Vincent F., Panca Jodiawan, and A. A. N. Perwira Redi. "Crowd-shipping problem with time windows, transshipment nodes, and delivery options." Transportation Research Part E: Logistics and Transportation Review 157 (January 2022): 102545. http://dx.doi.org/10.1016/j.tre.2021.102545.

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Mousavi, Kianoush, Merve Bodur, Mucahit Cevik, and Matthew J. Roorda. "Approximate dynamic programming for pickup and delivery problem with crowd-shipping." Transportation Research Part B: Methodological 187 (September 2024): 103027. http://dx.doi.org/10.1016/j.trb.2024.103027.

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Mo, Junyi, and Shunichi Ohmori. "Crowd Sourcing Dynamic Pickup & Delivery Problem considering Task Buffering and Drivers’ Rejection -Application of Multi-agent Reinforcement Learning-." WSEAS TRANSACTIONS ON BUSINESS AND ECONOMICS 18 (April 2, 2021): 636–45. http://dx.doi.org/10.37394/23207.2021.18.63.

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In the last decade, dynamic and pickup delivery problem with crowd sourcing has been focused on as a means of securing employment opportunities in the field of last mile delivery. However, only a few studies consider both the driver's refusal right and the buffering strategy. This paper aims at improving the performance involving both of the above. We propose a driver-task matching algorithm that complies with the delivery time constraints using multi-agent reinforcement learning. Numerical experiments on the model show that the proposed MARL method could be more effective than the FIFO and the RANK allocation methods

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Enders, Jody. "Delivering Delivery: Theatricality and the Emasculation of Eloquence." Rhetorica 15, no. 3 (1997): 253–78. http://dx.doi.org/10.1525/rh.1997.15.3.253.

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Abstract: Ever since Aristotle noted in the Rhetoric that, when fashionable, delivery ταύτό ποιήσϵι τῆ ύποκριτικῆ (has “the same effect as acting”; 1404a), classical and medieval rhetorical theorists fulminated against a crowd-pleasing oratory that had devolved into a theatrical spectacle more akin to that provided by the comic “actress” or the “effeminate” male. It cannot be coincidental, however, that, as the fifth rhetorical canon documents the theatricalization of rhetoric, it also offers companion testimony about the so-called emasculation of eloquence. In this essay, I examine the early belief that legal and religious rituals crossed gender lines into effeminacy at they same time that they crossed genre lines into theater. Close analysis suggests that the persistent association between theatrics, bad rhetoric, and effeminacy struck four different targets in a single, well-conceived blow: it marginalized women, homosexuals, bad oratory, and theater by casting certain types of speakers and speech as perverse and disempowered. Delivering delivery today thus entails exposing the ways in which early theorists themselves attempted to deliver it from evil.

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Aronshtam, Lior, Benny Sand, Tammar Shrot, Ruth Cohen, Chaya Levin, and Hadassa Daltrophe. "Optimal Route Crowd-Shipping System for Sustainable Rapid Delivery: Algorithm, Simulation, and Feasibility Evaluation." Future Transportation 4, no. 1 (December 27, 2023): 1–14. http://dx.doi.org/10.3390/futuretransp4010001.

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Delivery systems are ubiquitous in today’s economy. However, those systems usually operate through purpose-built vehicles, which are inefficient, expensive, and highly harmful to the environment. We propose an optimal route crowd-shipping (OR-CS) system, a delivery service based on crowd transportation. The OR-CS system utilizes service points (SPs) and occasional couriers (OCs) to transfer deliveries. Senders drop packages at SPs, while receivers collect them from different SPs. The system is based on a new algorithm that assigns to each package an optimal route. The route is chosen individually for the package and is personally tailored according to the sender’s preferences and to the predefined routes of the OCs. To assess the real-life feasibility of the system, we developed a general simulator that emulates a city environment with authentic service points specifically selected based on desired attributes. The routes of OCs and the origins and destinations of packages were generated using a random process that differed between simulations. The results indicate that the system can be implemented and utilized. In addition, it yields positive results when the number of OCs surpasses a minimum threshold, which is feasible in most cities, given existing traffic loads. By adopting OR-CS, we can expect lowered delivery costs, reduced traffic congestion, and enhanced environmental sustainability.

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Yousafzai, Abdullah, Priyan Malarvizhi Kumar, and Choong Seon Hong. "CROWD-CDN: A cryptocurrency incentivized crowdsourced peer-to-peer content delivery framework." Computer Communications 179 (November 2021): 260–71. http://dx.doi.org/10.1016/j.comcom.2021.08.007.

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Wang, Fangxin, Feng Wang, Xiaoqiang Ma, and Jiangchuan Liu. "Demystifying the Crowd Intelligence in Last Mile Parcel Delivery for Smart Cities." IEEE Network 33, no. 2 (March 2019): 23–29. http://dx.doi.org/10.1109/mnet.2019.1800228.

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Le, Tho V., and Satish V. Ukkusuri. "Crowd-shipping services for last mile delivery: Analysis from American survey data." Transportation Research Interdisciplinary Perspectives 1 (June 2019): 100008. http://dx.doi.org/10.1016/j.trip.2019.100008.

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Mittal, Anuj, Nilufer Oran Gibson, Caroline C. Krejci, and Amy Ann Marusak. "Crowd-shipping for urban food rescue logistics." International Journal of Physical Distribution & Logistics Management 51, no. 5 (March 9, 2021): 486–507. http://dx.doi.org/10.1108/ijpdlm-01-2020-0001.

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PurposeThe purpose of this research is to gain a better understanding of how a crowd-shipping platform can achieve a critical mass of senders and carrier crowd members to yield network effects that are necessary for the platform to grow and thrive. Specifically, this research studies the participation decisions of both senders and carriers over time and the impacts of the resulting feedback loop on platform growth and performance.Design/methodology/approachAn agent-based model is developed and used to study dynamic behavior and network effects within a simulated crowd-shipping platform. The model allows both carriers and senders to be represented as autonomous, heterogeneous and adaptive agents, whose decisions to participate in the platform impact the participation of other agents over time. Survey data inform the logic governing agent decisions and behaviors.FindingsThe feedback loop created by individual sender and carrier agents' participation decisions generates complex and dynamic network effects that are observable at the platform level. Experimental results demonstrate the importance of having sufficient crowd carriers available when the platform is initially launched, as well as ensuring that sender and carrier participation remains balanced as the platform grows over time.Research limitations/implicationsThe model successfully demonstrates the power of agent-based modeling (ABM) in analyzing network effects in crowd-shipping systems. However, the model has not yet been fully validated with data from a real-world crowd-shipping platform. Furthermore, the model's geographic scope is limited to a single census tract. Platform behavior will likely differ across geographic regions, with varying demographics and sender/carrier density.Practical implicationsThe modeling approach can be used to provide the manager of a volunteer-based crowd-shipping program for food rescue with insights on how to achieve a critical mass of participants, with an appropriate balance between the number of restaurant food donation delivery requests and the number of crowd-shippers available and willing to make those deliveries.Social implicationsThis research can help a crowd-shipping platform for urban food rescue to grow and become self-sustainable, thereby serving more food-insecure people.Originality/valueThe model represents both senders and the carrier crowd as autonomous, heterogeneous and adaptive agents, such that network effects resulting from their interactions can emerge and be observed over time. The model was designed to study a volunteer crowd-shipping platform for food rescue, with participant motivations driven by personal values and social factors, rather than monetary incentives.

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Fikry, Amily, Azreen Joanna Abdul, Ameena Sibghatullah, Nur Shahrulliza Muhammad, and Zatul Fahany Harun. "From Click to Cuisine: Navigating the Landscape of Customer Satisfaction in Online Food Delivery Apps." Information Management and Business Review 16, no. 3(I)S (October 5, 2024): 579–88. http://dx.doi.org/10.22610/imbr.v16i3(i)s.4085.

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Technological advancements have revolutionized the food industry, enabling restaurant food delivery to homes. In Malaysia, families with children prefer online food delivery apps (OFDA) over singles, citing crowd avoidance, time-saving, and craving satisfaction. This research analyzes sociodemographic factors (age, income, gender, occupation, marital status, education, order frequency) influencing OFDA satisfaction. Through convenience sampling with 447 responses obtained via Google Forms, results indicate no significant differences in satisfaction based on age, income, gender, occupation, or education. However, marital status and order frequency show distinctions. The research concludes with limitations, recommendations, and implications for practitioners.

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Huang, Dan, Min Zhang, Yi Zheng, Changjia Chen, and Yan Huang. "Pre-allocation based flash crowd mitigation algorithm for large-scale content delivery system." Peer-to-Peer Networking and Applications 8, no. 3 (June 1, 2014): 493–500. http://dx.doi.org/10.1007/s12083-014-0272-4.

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Wang, Li, Min Xu, and Hu Qin. "Joint optimization of parcel allocation and crowd routing for crowdsourced last-mile delivery." Transportation Research Part B: Methodological 171 (May 2023): 111–35. http://dx.doi.org/10.1016/j.trb.2023.03.007.

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Hou, Shixuan, Chun Wang, and Jie Gao. "Reinforced stable matching for Crowd-Sourced Delivery Systems under stochastic driver acceptance behavior." Transportation Research Part C: Emerging Technologies 170 (January 2025): 104916. http://dx.doi.org/10.1016/j.trc.2024.104916.

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Purba, Moden, Hasdi Aimon, and Alpon Satrianto. "Passenger Mobility Impact on Customer Satisfaction and Environmental Degradation Through Air Transportation Crowdshipping." International Journal of Environmental Engineering and Development 2 (October 14, 2024): 256–68. http://dx.doi.org/10.37394/232033.2024.2.23.

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Authors: This study investigates the impact and implications of passenger mobility through crowdshipping on customer satisfaction and environmental degradation. A questionnaire was used to collect data from customers who have been aeroplane passengers at Hang Nadim Airport in Batam, Indonesia. SmartPLS software was used to evaluate the quality of the questionnaire data and test the research hypotheses. The SmartPLS path model analysis results show that passenger mobility affects Crowdshipping, customer satisfaction, and environmental degradation; Crowdshipping affects passenger mobility and environmental degradation, and customer satisfaction affects environmental degradation. The findings of this study help understand and quantify potential strategies for logistics delivery by utilizing aeroplane passenger crowd shipping. Consequently, it can help policymakers and air transport companies develop air transport-based crowd shipping models to estimate the possible impacts from an economic and environmental point of view as well as environmental utilization.

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Wang, Yuan, Dongxiang Zhang, Qing Liu, Fumin Shen, and Loo Hay Lee. "Towards enhancing the last-mile delivery: An effective crowd-tasking model with scalable solutions." Transportation Research Part E: Logistics and Transportation Review 93 (September 2016): 279–93. http://dx.doi.org/10.1016/j.tre.2016.06.002.

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Ye, Yuxiang, Huichuan Xia, and Chang Liu. "“Our Privacy Needs to be Protected Equally as Everybody's”—A Preliminary Study of Crowdsourced Delivery Riders' Privacy Concerns in China." Proceedings of the Association for Information Science and Technology 61, no. 1 (October 2024): 1156–58. http://dx.doi.org/10.1002/pra2.1216.

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ABSTRACTDelivery riders belong to crowd workers in the gig economy, representing a vulnerable group. Their privacy concerns and protection have not been duly investigated. To address this research problem, we surveyed to examine the issue of crowdsourced delivery riders' privacy concerns in China. It was found that these riders had often experienced privacy breaches and expressed major privacy concerns, such as the leakage of facial recognition information and contact details. Moreover, they lacked sufficient awareness of the Crowdwork platform's surveillance and knowledge of the Personal Information Protection Law (PIPL) in China. It is suggested that PIPL target vulnerable groups in addition to the general public, and privacy research in Human‐Computer Interaction (HCI) in China should focus on vulnerable populations like crowdsourced delivery riders.

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Bohara, Raghvendra A., and Stefano Leporatti. "Translational Hurdles with Magnetic Nanoparticles and Current Clinical Scenario in Hyperthermia Applications." Magnetochemistry 8, no. 10 (October 9, 2022): 123. http://dx.doi.org/10.3390/magnetochemistry8100123.

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Magnetic Nanoparticles (MNPs) are becoming increasingly popular for biomedical imaging and drug delivery, particularly cancer theranostics. Due to their excellent inherent properties and the accessibility to be tailor-made according to specific requirements, they stand out from the crowd and are close, yet so far. While the number of publications related to MNPs’ drug-delivery systems reported in the literature increases yearly, relatively more minor conversion has been observed from the bench to the bedside. It is of paramount importance to understand and work on the shortcomings and redesign the strategies to increase the clinical translatability of MNPs. ‘Supply as per Demand’ should be followed while designing an MNP-based delivery system. To achieve this, a better understanding of the clinical issues should be addressed early, and downstream methods should be prepared to resolve them. More significantly, all clinical problems in one delivery system should be eliminated, and one problem and one solution should be pursued. This opinion review explores the current limitations in evaluating magnetic nanoparticle performance, suggesting a promising standardized pathway to clinical translation.

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Ciobotaru, Georgiana, and Stanislav Chankov. "Towards a taxonomy of crowdsourced delivery business models." International Journal of Physical Distribution & Logistics Management 51, no. 5 (March 25, 2021): 460–85. http://dx.doi.org/10.1108/ijpdlm-10-2019-0326.

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PurposeThe paper aims to develop (1) a comprehensive framework for classifying crowdshipping business models and (2) a taxonomy of currently implemented crowdshipping business models.Design/methodology/approachThe business models of 105 companies offering crowdsourced delivery services are analysed. Cluster analysis and principal component analysis are applied to develop a business model taxonomy.FindingsA detailed crowdsourced delivery business model framework with 74 features is developed. Based on it, six distinct clusters of crowdshipping business models are identified. One cluster stands out as the most appealing to customers based on social media metrics, indicating which type of crowdshipping business models is the most successful.Research limitations/implicationsDetailed investigations of each of the six clusters and of recent crowdshipping business model developments are needed in further research in order to enhance the derived taxonomy.Practical implicationsThis paper serves as a best-practices guide for both start-ups and global logistics operators for establishing or further developing their crowdsourced delivery business models.Originality/valueThis paper provides a holistic understanding of the business models applied in the crowdshipping industry and is a valuable contribution to the yet small amount of studies in the crowd logistics field.

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Sharma, Abhishek. "CP-CDN: Content Delivery Powered By Context and User Intelligence." Mathematical Statistician and Engineering Applications 70, no. 1 (January 31, 2021): 155–63. http://dx.doi.org/10.17762/msea.v70i1.2295.

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In order to improve end users' Web access experiences, today's Internet content providers generally employ Content Delivery Networks (CDNs) to provide material to end users. To comprehend reasons, methods, and amounts of CP-level intelligences may aid content distribution, we employ a measurement-based approach. The largest content provider in China, Tencent, constructed a CDN, which we first offer as a measurement study. Contrarily, CPCDN may leverage context intelligence—which captures how contents are constantly manipulated then synthesized in various circumstances —in order to optimise the user experience and service quality throughout content delivery since it is aware of the precise environment in which material is consumed. In this study, we use a measurement-based approach to reasons, methods, and amounts of CP-level information may aid content delivery in order to support the quick transition to CPCDN. We proactively replicate content based on interest groups based on crowd patterns so that users can access their desired content from nearby CPCDN servers. CPCDN is able to raise the level of both content delivery efficiency and user experience by using the potent user intelligence that captures how contents are constantly exchanged and disseminated across social networked users.

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Galkin, Andrii, Tibor Schlosser, Silvia Cápayová, Denis Kopytkov, Ganna Samchuk, and Dominika Hodáková. "MONITORING THE CONGESTION OF URBAN PUBLIC TRANSPORT SYSTEMS FOR THE POSSIBILITY OF INTRODUCING THE CROWD SHIPPING DELIVERY IN BRATISLAVA." Acta logistica 8, no. 3 (September 30, 2021): 277–85. http://dx.doi.org/10.22306/al.v8i3.242.

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The aim is to study the congestion of urban passenger transport in the historical part of Bratislava for the possibility of introducing crowdsourcing technology. The visual methods of examination are used in work. According to the results of the study, data were obtained on the congestion of urban passenger transport and its distribution by hours of the day at the entrances to the historic part of the city. The obtained results indicate the possibility of using crowd shipping technology in off-peak periods. Monitoring of public transport flows in the urban core will identifying the distribution of travellers and contribute to understanding the time window for implementing crowd shipping technology during the day, minimal whit influence on the other participants of the transport process. The peak traffic load is observed on the routes passing through the Slovak National Rebellion (SNP) square in direct downtown of the city, from 8 am to 9 am and from 4-6 pm in the evening, and from 7 am to 8 am in the morning and 5-6 pm for the routes passing through the SNP bridge across the river Danube. A new way to monitoring the number of passengers in public transport was suggested. The paper provides credits for future development sharing technology and sustainable development of transport in Slovakia. The results could be usfull for transport policy and regularities for local government in Bratislava in case of apply new delivery technology.

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Ding, Yi, Baoshen Guo, Lin Zheng, Mingming Lu, Desheng Zhang, Shuai Wang, Sang Hyuk Son, and Tian He. "A City-Wide Crowdsourcing Delivery System with Reinforcement Learning." Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 5, no. 3 (September 9, 2021): 1–22. http://dx.doi.org/10.1145/3478117.

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The revolution of online shopping in recent years demands corresponding evolution in delivery services in urban areas. To cater to this trend, delivery by the crowd has become an alternative to the traditional delivery services thanks to the advances in ubiquitous computing. Notably, some studies use public transportation for crowdsourcing delivery, given its low-cost delivery network with millions of passengers as potential couriers. However, multiple practical impact factors are not considered in existing public-transport-based crowdsourcing delivery studies due to a lack of data and limited ubiquitous computing infrastructures in the past. In this work, we design a crowdsourcing delivery system based on public transport, considering the practical factors of time constraints, multi-hop delivery, and profits. To incorporate the impact factors, we build a reinforcement learning model to learn the optimal order dispatching strategies from massive passenger data and package data. The order dispatching problem is formulated as a sequential decision making problem for the packages routing, i.e., select the next station for the package. A delivery time estimation module is designed to accelerate the training process and provide statistical delivery time guarantee. Three months of real-world public transportation data and one month of package delivery data from an on-demand delivery platform in Shenzhen are used in the evaluation. Compared with existing crowdsourcing delivery algorithms and widely used baselines, we achieve a 40% increase in profit rates and a 29% increase in delivery rates. Comparison with other reinforcement learning algorithms shows that we can improve the profit rate and the delivery rate by 9% and 8% by using time estimation in action filtering. We share the data used in the project to the community for other researchers to validate our results and conduct further research.1 [1].

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Kusuma, Renata. "Module as an Alternative In Material Delivery in an Online Drawing Course." Journal of Visual Communication Design 6, no. 2 (January 26, 2022): 85–96. http://dx.doi.org/10.37715/vcd.v6i2.2702.

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Information Technology development has been a driving force to improve teaching materials more effectively and efficiently nowadays. Revolution in teaching must be done continuously without neglecting reading or listening habits as has been practiced. In addition, in the year 2020 the global Covid-19 pandemic happened which has forced the education institution to change the conventional way of learning. Having been implemented to avoid the crowd, online learning needs a new strategy in its implementation. In fact, the online teaching and learning system is not free from obstacles, especially in courses requiring fine motor skills like those in the Basic Drawing course. One of the solutions to tackle the problems is by designing modules to be used as course materials. Online medium developed nowadays utilizes module platform with instructions in pdf format and video materials. This paper describes how modules have been used to implement teaching and learning in one semester during online learning nowadays. Key words: online learning, module, drawing course

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Kusuma, Renata. "Module as an Alternative In Material Delivery in an Online Drawing Course." Journal of Visual Communication Design 6, no. 2 (January 6, 2022): 24–36. http://dx.doi.org/10.37715/vcd.v6i2.2453.

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Information Technology development has been a driving force to improve teaching materials more effectively and efficiently nowadays. Revolution in teaching must be done continuously without neglecting reading or listening habits as has been practiced. In addition, in the year 2020 the global Covid-19 pandemic happened which has forced the education institution to change the conventional way of learning. Having been implemented to avoid the crowd, online learning needs a new strategy in its implementation. In fact, the online teaching and learning system is not free from obstacles, especially in courses requiring fine motor skills like those in the Basic Drawing course. One of the solutions to tackle the problems is by designing modules to be used as course materials. Online medium developed nowadays utilizes module platform with instructions in pdf format and video materials. This paper describes how modules have been used to implement teaching and learning in one semester during online learning nowadays. Key words: online learning, module, drawing course

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James, Yvonne, and Olivier Szymanezyk. "The Challenges of Integrating Industry 4.0 in Cyber Security — A Perspective." International Journal of Information and Education Technology 11, no. 5 (2021): 242–47. http://dx.doi.org/10.18178/ijiet.2021.11.5.1518.

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We adopt Industry 4.0 (I4.0) and professional qualifications for adapting models of deliveries of teaching the module of Cyber Security at the University of Lincoln (UK). To achieve this, we investigate I4.0, the challenges it sets to higher education, and professional qualifications. Our findings are used to devise three models of delivery, namely Comprehensive, Partial and Merged. Our discussions show that our strategy of the integration of I4.0 within the curriculum development effectively prepares students to stand out from the crowd by possessing industry ready accreditations along their computer science degrees and the skills required for their future career in cyber security.

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Le, Tho V., and Satish V. Ukkusuri. "Influencing Factors That Determine the Usage of the Crowd-Shipping Services." Transportation Research Record: Journal of the Transportation Research Board 2673, no. 7 (May 8, 2019): 550–66. http://dx.doi.org/10.1177/0361198119843098.

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The objective of this study is to understand how senders choose shipping services for different products, given the availability of both emerging crowd-shipping ( CS) and traditional carriers in a logistics market. Using data collected from a United States (U.S.) survey, Random Utility Maximization (RUM) and Random Regret Minimization (RRM) models have been employed to reveal factors that influence the diversity of decisions made by senders. Shipping costs, along with additional real-time services such as courier reputations, tracking info, e-notifications, and customized delivery time and location, have been found to have remarkable impacts on senders’ choices. Interestingly, potential senders were willing to pay more to ship grocery items such as food, beverages, and medicines by CS services. Moreover, the real-time services have low elasticities, meaning that only a slight change in those services will lead to a change in sender behavior. Finally, data-science techniques were used to assess the performance of the RUM and RRM models and found to have similar accuracies. The findings from this research will help logistics firms address potential market segments, prepare service configurations to fulfill senders’ expectations, and develop effective business operations strategies.

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Giret, Adriana, Carlos Carrascosa, Vicente Julian, Miguel Rebollo, and Vicente Botti. "A Crowdsourcing Approach for Sustainable Last Mile Delivery." Sustainability 10, no. 12 (December 3, 2018): 4563. http://dx.doi.org/10.3390/su10124563.

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Sustainable transportation is one of the major concerns in cities. This concern involves all type of movements motivated by different goals (mobility of citizens, transportation of goods and parcels, etc.). The main goal of this work is to provide an intelligent approach for Sustainable Last Mile Delivery, by reducing (or even deleting) the need of dedicated logistic moves (by cars, and/or trucks). The method attempts to reduce the number of movements originated by the parcels delivery by taking advantage of the citizens’ movements. In this way our proposal follows a crowdsourcing approach, in which the citizens that moves in the city, because of their own needs, become temporal deliverers. The technology behind our approach relays on Multi-agent System techniques and complex network-based algorithms for optimizing sustainable delivery routes. These artificial intelligent approaches help to reduce the complexity of the scenario providing an efficient way to integrate the citizens’ routes that can be executed using the different transportation means and networks available in the city (public system, private transportation, eco-vehicles sharing systems, etc.). A complex network-based algorithm is used for computing and proposing an optimized Sustainable Last Mile Delivery route to the crowd. Moreover, the executed tests show the feasibility of the proposed solution, together with a high reduction of the CO 2 emission coming from the delivery trucks that, in the case studies, are no longer needed for delivery.

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Wei, YongHui, KeYu Zhao, XueQiang Lv, JianZhou Feng, HaiJu Hu, Tuyatsetseg Badarch, and ZeYu Zhao. "Research on Intelligent Embedded Fan System Based on YOLOv2 Lightweight Algorithm." Computational Intelligence and Neuroscience 2022 (July 22, 2022): 1–9. http://dx.doi.org/10.1155/2022/3484268.

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With the development of artificial intelligence, the application of intelligent algorithms to low-power embedded chips has become a new research topic today. Based on this, this study optimizes the YOLOv2 algorithm by tailoring and successfully deploys it on the K210 chip to train the face object detection algorithm model separately. The intelligent fan with YOLOv2 model deployed in K210 chip can detect the target of the character and obtain the position and size of the character in the machine coordinates. Based on the obtained information of character coordinate position and size, the fan's turning Angle and the size of air supply are intelligently perceived. The experimental results show that the intelligent fan design method proposed here is a new embedded chip intelligent method of cutting and improving the YOLOv2 algorithm. It innovatively designed solo tracking, crowd tracking, and intelligent ranging algorithms, which perform well in human perception of solo tracking and crowd tracking and automatic air volume adjustment, improve the accuracy of air delivery and user comfort, and also provide good theoretical and practical support for the combination of AI and embedded in other fields.

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Journal articles on the topic 'Crowd delivery'

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