SmartSAT:可定制的移动网络应用程序,旨在提高圣安东尼奥公共交通服务的效率和公平性

IF 1.3 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING
Young Lee , Jeong Yang , Mohammad Al-Ramahi , Daniel Delgado
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引用次数: 0

摘要

SmartSAT 是一款移动网络应用程序,旨在提高圣安东尼奥公共交通服务的效率和公平性,提供公交车实时到站预测,通知乘客座位空余情况,并收集乘客的反馈意见。其目的是利用技术提供具有包容性的服务,从而对社会平等产生潜在影响,并改善乘客的整体乘车体验。我们进行了两项研究,以了解 SmartSAT 对巴士实际到达时间和乘客公共体验的影响。到站时间分析结果表明,某些线路的实际到站时间与计划到站时间的平均差异非常小,而有几条线路的平均差异很大,显示出明显的延误和偏离计划时间表的情况。乘客体验研究发现,圣安东尼奥的穷人、工薪阶层和拉丁裔社区对城市公共交通系统的使用感受存在差异。这些发现表明,有必要对公交车时刻表进行定期监测和优化,以提高现有交通系统的效率和包容性。研究结果主要惠及圣安东尼奥居民,尤其是服务不足的社区,从而改善其公交网络基础设施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SmartSAT: A customizable mobile web application toward improving the efficiency and equitable access of San Antonio’s public transit services
SmartSAT is a mobile web application designed to enhance the efficiency and equitable access of San Antonio’s public transit services, providing real-time bus arrival predictions, notifying riders of seat availability, and gathering rider’s feedback. It aims to leverage technology to deliver an inclusive service with potential impacts for social equality, and enhancement of overall ridership experience. Two studies were conducted to access the impact of SmartSAT on the actual bus arrival times and rider’s communte experience. The findings of the arrival times analysis indicated that certain routes exhibited very slow average differences between their actual and schedule arrival times while a couple displayed a big average difference showing significant delayes and deviations from the schedules timetable. The rider experience study found that there is a differential in the feelings of access to the city’s public transit system held by poor, working-class, and Latinx communities in San Antonio. These findings suggest the need for regular minitoring and optimazation of the bus schedules to improve the effieiency and inclusive access to the current transportaiton system. The outcomes of the study primarily benefit San Antonio residents, especially for underserved communities, leading to an enhancement of its transit network infrastructure.
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来源期刊
Software Impacts
Software Impacts Software
CiteScore
2.70
自引率
9.50%
发文量
0
审稿时长
16 days
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