Operational evaluation of the bus rapid transit system: Case study of Dar es Salaam city

IF 2 4区 工程技术 Q3 TRANSPORTATION Journal of Public Transportation Pub Date : 2022-01-01 DOI:10.1016/j.jpubtr.2022.100020
Lucia Andrew , Angela Edes Kitali , Thobias Sando , Jubily Musagasa
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引用次数: 4

Abstract

This study evaluated the effectiveness of the first Bus Rapid Transit (BRT) system in Dar es Salaam. A Bayesian Hierarchical modeling approach and Bayesian hypothesis test were used to compare the operational performance of BRT against the non-BRT buses and private automobiles. The study also examined factors affecting the travel times of the three modes of transportation. The study corridor, which is 10.2 kilometers long, is an arterial segment along Morogoro Road. The predicted travel time for BRT was lowest at the 95% Bayesian credible interval, with a mean value of 16 minutes. Non-BRT bus trips had the highest travel time of 28 minutes, followed by personal automobile trips with an average travel time of 18 minutes, indicating that BRT buses improve travel time along the study corridor. Factors such as delay, time of day, dwelling time, number of stops, and trip direction significantly influenced travel time variability along the study routes.

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快速公交系统的运行评估:以达累斯萨拉姆市为例
本研究评估了达累斯萨拉姆首个快速公交系统(BRT)的有效性。采用贝叶斯分层建模方法和贝叶斯假设检验对快速公交与非快速公交和私家车的运行性能进行了比较。该研究还调查了影响这三种交通方式出行时间的因素。研究走廊长10.2公里,是莫罗戈罗公路的主干道。在95%贝叶斯可信区间,BRT的预测出行时间最低,平均值为16分钟。非BRT公交出行时间最长,为28分钟,其次是私家车出行,平均出行时间为18分钟,表明BRT公交改善了研究走廊沿线的出行时间。延误、时间、停留时间、停靠次数和行程方向等因素对研究路线上的旅行时间变化有显著影响。
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来源期刊
CiteScore
6.40
自引率
0.00%
发文量
29
审稿时长
26 days
期刊介绍: The Journal of Public Transportation, affiliated with the Center for Urban Transportation Research, is an international peer-reviewed open access journal focused on various forms of public transportation. It publishes original research from diverse academic disciplines, including engineering, economics, planning, and policy, emphasizing innovative solutions to transportation challenges. Content covers mobility services available to the general public, such as line-based services and shared fleets, offering insights beneficial to passengers, agencies, service providers, and communities.
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