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首页> 外文期刊>Transportation Research Procedia >Demand and Driver Supply Implications of Regular Public Transportation System for Policy Makers: A Case Study of Kandahar City, Afghanistan
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Demand and Driver Supply Implications of Regular Public Transportation System for Policy Makers: A Case Study of Kandahar City, Afghanistan

机译:政策制定者常规公共交通系统的需求与司机提供影响:以阿富汗坎大哈市为例

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Kandahar city of Afghanistan being one of the largest cities of the country does not have any regular system of public transportation. Unfortunately, at the moment the entire picture of the current services and future plans is unclear due to the lack of travel behavioral data including trip rate, travel time distribution, modal share and so on. More serious is that mechanism behind the behavior has not been figured out, so that no comprehensive transportation planning was established from theoretical basis. As the unprecedented study in Kandahar city, this paper attempted to carry out a travel survey with Revealed and Stated Preference (RP/SP) approach to understand travel behavior for the first time, by focusing on determinant factors of demand for regular public transportation modes and supply of drivers using discrete choice modelling approach. The results revealed that travel time and travel cost are among the most influential factors for forecasting the demand of public transport. Other socio-demographic factors such as gender, age, monthly income, and vehicle ownership are also demand determinant factors. Furthermore, consideration of women in all processes of planning and operating public transit is very essential. On the other hand, due to low income, higher working loads and some other job related factors, the drivers of paratransit system are not satisfied with their current jobs and have shown strong willingness to become bus drivers in future. Their willingness to change their jobs is effected by their personal income levels, availability of other income sources, education and some other social factors.
机译:阿富汗坎大哈市是该国最大的城市之一没有任何经常公共交通系统。不幸的是,目前当前服务和未来计划的整个图片由于缺乏旅行行为数据,包括跳闸率,旅行时间分布,模态份额等而尚不清楚。更严重的是行为背后的机制尚未弄明白,因此没有从理论基础上建立综合交通规划。作为坎大哈市前所未有的研究,本文试图通过专注于对常规公共交通模式的需求的决定因素来实现旅行调查,以便首次了解旅行行为。采用离散选择建模方法供应司机。结果表明,旅行时间和旅行成本是预测公共交通需求的最有影响力的因素之一。其他社会人口因素,如性别,年龄,月收入和车辆所有权也是需求的决定因素。此外,在所有规划和经营公共交通工程中对妇女的考虑是非常重要的。另一方面,由于低收入,更高的工作负荷和其他一些职位相关因素,Paratransit系统的驱动程序对他们目前的工作并不满意,并表现出未来成为公共汽车司机的强烈意愿。他们愿意改变工作的愿意受到他们的个人收入水平,其他收入来源,教育和其他一些社会因素的影响。

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