大学生假期返乡的出行方式偏好调查:以印度为例

IF 0.7 Q4 TRANSPORTATION
Gourab Sil
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引用次数: 0

摘要

需要对学生进行的大学旅行进行分析,以改善印度的流动性规划。为学生提供住宿设施的大学成为最大的旅行来源之一,特别是在假期,因为大多数学生都会回各自的家乡旅行。本研究通过考察位于印度二级工业城镇的印度高等教育机构杜尔加普尔国家理工学院学生的旅行模式,深入了解了典型的印度大学生在假期回家的旅行模式选择。最初,一项基于网络的旅行行为调查旨在从总共618名学生中获取社会经济和特定模式的信息。根据收集到的数据,建立了多项逻辑模型来分析学生的模式选择决策。结果表明,家庭收入、车辆拥有量、出行特征(单独出行还是与他人一起出行)和出行时间对学生出行方式偏好有显著影响。据观察,随着经济的繁荣,使用灵活舒适的交通方式,如汽车和公共汽车增加。家庭车辆拥有量也对汽车使用起着重要作用。有趣的是,公交被发现是独自出行的学生最不喜欢的夜间出行方式。所提出的方法和研究结果将有助于了解大学生在假期回家旅行时的旅行特征,并制定必要的交通规划政策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An investigation on Travel mode preferences of university students travelling to home during vacation: An Indian experience
University travel undertaken by students needs to be analyzed for improved mobility planning in India. Universities with residential accommodation facilities for students become one of the largest trip generators particularly during vacation as most of the students travel to their respective hometown. This study provides an insight into the travel mode choices of typical Indian university students travelling to home during vacation, by examining the travel patterns of students belonging to National Institute of Technology, Durgapur, an Indian higher education institution situated in a tier-II industrial Indian town. Initially, a web-based travel behavior survey was designed to elicit socio-economic, mode-specific information from a total of 618 students. Based on the collected data, multinomial logit model was developed to analyze the mode choice decisions of the students. Results indicate that family income, vehicle ownership, travel-characteristics (whether travelling alone or with others) and time of travel significantly affect the mode preferences of student-travelers. It was also observed that with economic prosperity, the use of flexible and comfortable modes of transport like car and bus increases. Family vehicle ownership was also found to play a major role on car usage. Interestingly, bus was found to be the least preferred mode for night-time travel by students travelling alone. The proposed methodology and study findings would help to understand the university students’ travel characteristics while travelling to home during vacations and devise necessary transportation planning policies.
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CiteScore
2.30
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19
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