快速公交(BRT)对汽车和自行车拥有者的吸引力

IF 0.1 Q4 ENGINEERING, CIVIL Romanian Journal of Transport Infrastructure Pub Date : 2020-07-01 DOI:10.2478/rjti-2020-0001
Malik Muneeb Abid, Altaf Ayaz, Nabeel Nawaz, Muhammad Iqbal, Hongtai Yang, Ahmad Salar Tehseen, Syed Taseer Abbas Jafar
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引用次数: 4

摘要

摘要本研究旨在寻找快速公交(BRT)吸引车主的潜力,从他们的个人车辆,即汽车和摩托车。在快速公交车站进行了陈述偏好调查(问卷调查)和访谈,以预测个人从私人车辆转向快速公交的情况。问题是根据与快速公交使用的许多方面相关的研究要求严格设计的,即旅行者的车辆所有权、驾驶执照持有人、人口统计特征、票价上涨时使用快速公交的选择、旅行目的以及他们在同一次旅行中的先前交通方式。根据研究地区(巴基斯坦伊斯兰堡-拉瓦尔品第)的人口,共收集了374份回复。多元逻辑回归(MNL)模型已被用于四类车辆所有权,即“使用快速公交的车主”、“使用快速交通的自行车车主”和“使用快速公共交通的车主和自行车车主”,最后一个被作为参考类别的是“无车辆所有权的快速公交用户”。分析表明,快速公交吸引了大量的私家车用户,尤其是自行车车主。收入和居住地点(可达性)等一些社会经济因素对BRT的选择也有重要影响。此外,据观察,票价上涨会改变快速公交用户的模式选择,他们将再次选择自己的车辆。研究中开发的出行选择模型对政策制定者和交通规划者来说非常有用,可以提高快速公交服务和吸引力,缓解交通拥堵和汽车保有量。
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Attraction of Bus Rapid Transit (BRT) for Car and Bike Owners
Abstract This study aims to find the potential of Bus Rapid Transit (BRT) to attract the vehicle owners from their personal vehicles i.e., motorcars and motorcycles. Stated preference survey (questionnaires) and interviews were conducted at BRT (Metro Bus) Stations for the prediction of the individuals shifting from their private vehicles to BRT. Questions were designed critically as per the requirements of the research related to numerous aspects of BRT use i.e., vehicle ownership of the travelers, driving license holder, demographic characteristics, choice to use BRT if the fare increases, trip purpose and their prior mode of transportation for the same trip. A total of 374 responses, as per the population of the study area (Islamabad-Rawalpindi, Pakistan), were collected. The Multinomial Logistic Regression (MNL) model has been employed for four categories of vehicle ownerships i.e., “Car owners using BRT”, “Bike owners using BRT”, “Both Car and Bike owners using BRT” and the last one which has been taken as reference category is “BRT users with no vehicle ownership”. The analysis indicated that BRT has attracted considerably private vehicle users specially the bike owners. Some socio-economic factors like income and residence location (accessibility) additionally have a major effect on the selection of BRT. In addition, it has been observed that fare increase can alter the mode choice of the BRT users and they will again prefer their own vehicles. The Travel choice model developed in the study can be very useful for policy makers and transport planners to enhance the BRT service and attraction, to mitigate traffic congestion and car ownership.
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