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Data from: Understanding the effects of taxi ride-sharing: A case study of Singapore

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researchdata.smu.edu.sg2023-05-31 更新2025-01-15 收录
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https://researchdata.smu.edu.sg/articles/dataset/Data_from_Understanding_the_effects_of_taxi_ride-sharing_A_case_study_of_Singapore/12062784/1
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This record contains the underlying research data for the publication "Understanding the effects of taxi ride-sharing: A case study of Singapore" and the full-text is available from: https://ink.library.smu.edu.sg/sis_research/3968This paper studies the effects of ride-sharing among those calling on taxis in Singapore for similar origin and destination pairs at nearly the same time of day. It proposes a simple yet practical framework for taxi ride-sharing and scheduling, to reduce waiting times and travel times during peak demand periods. The solution method helps taxi users save money while helping taxi drivers serve multiple requests per day, thus increasing their earnings. A comprehensive simulation study is conducted, based on real taxi booking data for the city of Singapore, to evaluate the effect of various factors of the ride-sharing practice, e.g., waiting time, extra travel time, and taxi fare reduction. The results demonstrate that ride-sharing could serve 20%–25% more taxi booking requests and reduce traveler waiting time during peak hours. It also indicates that there is a reduction in travel distance of approximately 2–3 km per taxi trip on average, which is approximately 20%–30% of the average ride distance.

本记录包含出版物《新加坡出租车共享效应研究:一项案例研究》的基础研究数据,全文可通过以下链接获取:https://ink.library.smu.edu.sg/sis_research/3968。该研究探讨在新加坡,针对具有相似出发和目的地,且在接近同一时间段内呼叫出租车的用户群体,出租车共享的效应。论文提出了一种既简洁又实用的出租车共享与调度框架,旨在降低高峰需求时段的等待时间和旅行时间。该解决方案有助于出租车用户节省费用,同时帮助出租车司机每天处理更多订单,从而增加其收入。研究基于新加坡市真实的出租车预约数据,开展了一项综合性的模拟研究,以评估出租车共享实践中的各种因素效应,例如等待时间、额外旅行时间和出租车费用的减少。结果表明,共享出租车服务能够处理20%至25%更多的预约请求,并在高峰时段减少旅客的等待时间。此外,研究还指出,平均每趟出租车行程的旅行距离减少了约2至3公里,这大约占平均行程距离的20%至30%。
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SMU Research Data Repository (RDR)
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