Factors influencing rideshare satisfaction in a university community

IF 3.8 Q2 TRANSPORTATION
Deema Almaskati , Sharareh Kermanshachi , Jay Michael Rosenberger , Apurva Pamidimukkala , Chen Kan , Ann Foss
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引用次数: 0

Abstract

On-demand mobile applications for ridesharing services are a relatively recent development in transportation that promotes peer-to-peer resource reallocation and fosters efficiency and sustainability by optimizing available resources and reducing fuel consumption, traffic, and transportation inequality. Customer satisfaction and retention are key to reaping these benefits, however, and while previous research has examined ride ratings through the lens of customer biases, it fails to evaluate the relationship between customer rideshare satisfaction and other trip features. This study examined the service criteria of rideshare journeys to and from a university in Arlington, Texas between 2021 and 2022. A variety of models were developed to assess the influence of several trip parameters on ride ratings, and the best performing model, the random forest model, was selected for further evaluation. The results indicated that ride distance, duration, month, and day of the week had the greatest impact on the ratings. Partial dependence plots were also created to increase the interpretability of the model, and recommendations were developed for stakeholders. The results have important implications for legislators, rideshare service providers, and transportation professionals.
影响大学社区拼车满意度的因素
出行共享服务的按需移动应用程序是交通领域相对较新的发展,它通过优化可用资源、减少燃料消耗、减少交通和交通不平等,促进了点对点资源的重新分配,提高了效率和可持续性。然而,客户满意度和留存率是获得这些好处的关键,尽管之前的研究从客户偏见的角度考察了乘车评级,但它未能评估客户拼车满意度与其他旅行特征之间的关系。这项研究调查了2021年至2022年间往返德克萨斯州阿灵顿一所大学的拼车服务标准。我们开发了多种模型来评估几个出行参数对乘车评级的影响,并选择了表现最好的随机森林模型进行进一步评估。结果表明,骑行距离、持续时间、月份和一周中的哪一天对评分影响最大。还创建了部分依赖图,以增加模型的可解释性,并为利益相关者提出了建议。研究结果对立法者、拼车服务提供商和交通专业人士具有重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Transportation Research Interdisciplinary Perspectives
Transportation Research Interdisciplinary Perspectives Engineering-Automotive Engineering
CiteScore
12.90
自引率
0.00%
发文量
185
审稿时长
22 weeks
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