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[...] R., & Starita, S. (2019). Minimizing urban logistics cost using crowd-shipping. ICVISP 2019: Proceedings of the 3rd International Conference on Vision, Image and Signal Processing (pp. 1-5). DOI: https://doi.org/10.1145/3387168.3387256. Simoni, M. D., Marcucci, E., Gatta, V., & Claudel, C. G. (2019). Potential last-mile impacts of crowdshipping services: a simulation-based evaluation. DOI: https://doi.org/10.1007/s11116-019-10028-4. [...]
[...] Dynamic matching algorithms, coupled with variable incentives, play a key role in the profitability and reliability of platforms. On the environmental side, the study shows that the use of already circulating private vehicles, with a moderate detour, can significantly reduce CO2 emissions.?. The integration of relay points or consolidation systems further enhances these benefits, particularly when operations are managed in real-time. In conclusion, Mohri et al. (2023) provide a structured overview of urban motorized crowdshipping practices, highlighting performance levers, optimization conditions, and charging challenges, particularly in terms of governance, social equity, and system integration. [...]
[...] In their article published in 2019 in Transportation, Ermagun, Shamshiripour et Stathopoulos propose one of the first empirical evaluations of crowdshipping, based on two years of operational data from an American platform. The study distinguishes between urban and suburban areas, focusing on motorized deliveries made by occasional drivers. The analysis relies on nested logit models to study the different stages of the process, from bidding to delivery. The geographical distinction is based on population density, access to employment, and built environment characteristics. The study combines data on shipments (size, delay, sender) with spatial indicators such as motorization or courier density. [...]
[...] (2019) explore, through dynamic traffic simulation, the environmental and congestion effects of motorized crowdshipping in downtown Rome. Focusing on parcel deliveries in a dense urban area, the authors test different crowdshipping implementation modalities, particularly by car. Three parameters are studied: the substitution rate of traditional deliveries, the length of the allowed detour for crowdshipping drivers, and their parking behaviors. The study is based on a hybrid model combining macro traffic data (congestion, queues, signals) and micro-modeling of vehicles making deliveries. [...]
[...] Usman, A., Avi Anand, J., & Svein, B. (2024). Sustainability assessment of inter-urban crowdshipping - A case study approach. Research in Transportation Economics, Elsevier, vol. 103(C). DOI: 10.1016/j.retrec.2024.101409. [...]
