关键词：拥堵，交通需求管理，模式选择概率，出行，公共交通
摘要：印度城市以其臭名昭著的交通拥堵和行动不便而闻名。人均收入的增加和城市化进程进一步加剧了这一局面，并造成了环境污染、事故和健康风险等危害。造成城市拥堵问题的主要原因之一是私人车辆的使用增加。本研究通过引入运输需求管理（TDM）策略解决了交通拥堵的问题。TDM鼓励人们从私家车转向公共交通方式，如大众运输和公共汽车。在这项研究中，对斋浦尔寨城进行了实证研究。该研究采用汇总Logit模型来分析模式选择概率。为了进行建模，数据是通过一次和二次调查的混合来收集的。基于这些发现，本研究讨论了四个部门的战略干预措施–道路空间重新设计，公共交通改善，机读旅行证件的使用和停车安排。
Abstract: Indian cities are known for their notorious traffic congestion and limited mobility. Increasing per capita income and urbanization are further aggravating the already constrained situation and results in hazards like environmental pollution, accidents and health risks. One of the major reasons for the urban congestion problem is the increasing use of private vehicles. This study addresses the problem of congestion by introducing Transportation Demand Management (TDM) strategies. TDM encourages people to shift from private vehicles to public transport modes like mass transit and buses. In this research the Jaipur Walled City is analysed for the empirical research. The research employs an aggregate Logit modelling for analysing modal choice probability. For the purpose of modelling, data is collected by a mix of primary and secondary surveys. Based on the findings, this research discusses strategic interventions in four sectors – road space redesign, public transit improvements, use of MRTS and parking arrangements.
Key: Congestion, Transportation Demand Management, Modal Choice Probability, Mobility, Public transportation
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