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Effect of bus-lane usage by private vehicles on modal shift

机译:私家车使用车道对方式转换的影响

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摘要

Developing countries urgently need to encourage the use of public transport. With this objective, in May 2013, the government of India implemented a bus rapid transit system (BRTS) with an exclusive bus lane in a rapidly growing city, Indore. However, after 6 months of successful BRTS service, the judicial system ordered that passenger cars should be allowed in the exclusive bus rapid transit lane; this unique decision motivated the present study. The objective is to assess the impact of BRTS service on modal shift before and after the introduction of private vehicles to the exclusive bus rapid transit lane. For these two cases, separate models are formulated and compared using the binary logistic method (BLM) and the artificial neural network (ANN) method. Data on demographic and socio-economic attributes (gender, age and occupation) and trip-related attributes (travel time details and cost saving per day) are collected using a revealed preference survey. An en-route on-board survey is conducted on passengers using buses along the study corridor. Owing to the introduction of vehicles in the exclusive bus rapid transit lane, the probability of passengers switching to the BRTS is observed to decrease from 64.7% to 45.7%. Moreover, ANN provides more accurate results than the BLM in both situations.
机译:发展中国家迫切需要鼓励使用公共交通工具。为此目的,2013年5月,印度政府在快速发展的城市印多尔(Indore)实施了具有专用公交专用道的公交快速运输系统(BRTS)。但是,在成功实施BRTS 6个月后,司法系统下令在专用的公共汽车快速运输车道上允许乘用车进入;这个独特的决定激励了本研究。目的是评估在将私人车辆引入专用公交快速公交车道之前和之后,BRTS服务对模式转换的影响。对于这两种情况,分别使用二进制逻辑方法(BLM)和人工神经网络(ANN)方法制定并比较了单独的模型。使用显示的偏好调查收集有关人口和社会经济属性(性别,年龄和职业)以及与旅行相关的属性(旅行时间详细信息和每天节省的费用)的数据。使用沿着研究走廊的公共汽车对乘客进行了途中车载调查。由于在快速公交专用道中引入了车辆,因此乘客转乘BRTS的概率从64.7%下降至45.7%。而且,在两种情况下,人工神经网络都比BLM提供更准确的结果。

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