Integrated carpooling and parking system to improve mobility: Case study at the University of Puerto Rico at Mayagüez

Daniel Rodriguez-Roman , Misael Moctezuma Rivera , Elian Brevan Villanueva , Nayda G. Santiago , Héctor J. Carlo , Alberto M. Figueroa-Medina , Celimar Deida Villafañe
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Abstract

This paper describes the pilot test of a Parking Allocation and Ride-Sharing (PARS) system at the University of Puerto Rico at Mayagüez. PARS is a novel travel demand management strategy that integrates carpooling and parking management to address parking and mobility problems. The main components of the pilot were a mobile application for submitting parking and ride requests; cloud-based algorithms for ride matching, implementing a space reservation model, and verifying passenger occupancy in carpool vehicles; and internet-of-things devices for controlling access to a 20-space parking area. Surveys were conducted before and after the test to explore attitudes toward carpooling and evaluate participants' experiences. The pre-test survey focused on participants’ comfort levels with giving rides or being passengers in a university-coordinated carpooling program. Responses were analyzed using ordered logistic regression and structural equation modeling to examine how demographic characteristics relate to stated comfort with carpooling.
In the pre-test survey, 30–40 % of respondents agreed with statements indicating that they would be comfortable being carpool drivers in a university coordinated carpooling program, but fewer (26–33 %) agreed they would be comfortable being carpool passengers. The model estimation results suggest that there are differences in attitudes toward carpooling depending on the person’s gender, age, travel time, role in the university, and whether they are drivers. The pilot test demonstrated that the PARS technologies are an effective strategy for parking management and carpool coordination. Although female survey respondents were more likely to indicate that they were uncomfortable with carpooling – and particularly with having opposite-gender carpooling partners – they were not underrepresented among PARS users. On average, the system received 15.3 (±5.2) parking requests and 2.4 (±1.4) ride requests per day. The post-test survey analysis found that 82 % of PARS users had a positive experience. Two key lessons from the test were that marketing for new carpooling-based services requires considerable planning and resources and that mistrust of strangers is a major barrier to carpooling programs, even in universities.
综合拼车和停车系统,以提高机动性:在波多黎各大学mayagez的案例研究
本文介绍了波多黎各大学mayag ez分校的停车分配和乘车共享(PARS)系统的试点测试。PARS是一种新型的出行需求管理策略,它将拼车和停车管理相结合,以解决停车和出行问题。该试点项目的主要组成部分是提交停车和乘车请求的移动应用程序;基于云的乘车匹配算法,实现空间预订模型,并验证拼车车辆的乘客占用情况;还有物联网设备,用于控制进入20个车位的停车场。在测试前后分别进行了问卷调查,以探讨人们对拼车的态度,并评估参与者的体验。测试前的调查主要关注的是参与者在搭车或参加大学协调的拼车项目时的舒适程度。使用有序逻辑回归和结构方程模型分析了响应,以检查人口统计学特征与拼车舒适性的关系。在测试前的调查中,30 - 40% %的受访者同意在大学拼车计划中充当拼车司机的说法,但更少(26 - 33% %)的受访者同意充当拼车乘客的说法。模型估计结果表明,人们对拼车的态度存在差异,这取决于个人的性别、年龄、出行时间、在大学中的角色以及他们是否是司机。试验结果表明,PARS技术是一种有效的停车管理和拼车协调策略。尽管女性受访者更有可能表示她们对拼车感到不舒服,尤其是与异性拼车,但她们在PARS用户中的比例并不低。该系统平均每天收到15.3(±5.2)个停车请求和2.4(±1.4)个乘车请求。测试后的调查分析发现82% %的PARS用户有积极的体验。从测试中得出的两个关键教训是,新的拼车服务的营销需要大量的计划和资源,对陌生人的不信任是拼车项目的主要障碍,即使在大学里也是如此。
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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