INFLUENCE OF SOCIO-DEMOGRAPHIC CHARACTERISTICS ON ACTIVITY TRAVEL BEHAVIOUR OF COMMUTERS IN A MEDIUM SIZED CITY IN INDIA

Sreela Parambath Koyilerian, L. R. Anjaneyulu
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引用次数: 1

Abstract

: Technological developments in small or medium sized cities are often at a slower rate due to the lack or scarcity of funds. Proper planning of facilities in such cities should hence be executed meticulously. This requires an understanding of travel needs of individuals. As majority of the travel are made for work the study aims to explore the activity and travel preferences of workers. Majority of the commuters are likely to travel at the same time of day, causing congestion during peak hours. Under these circumstances, it is essential to explore the commuting behaviour of individuals. It also aids transportation engineers and planners to recognise individual preferences for arriving at user friendly strategies and a sustainable environment. The aim of the study is to identify the travel related choice of work commute. These choice dimensions are explored through activity participation model, mode and time of day choice models using multinomial and binary logit modelling approaches incorporating the socio–demographic characteristics. Modelling results underscore the importance of variables like gender, age and presence of school children on an individual’s decision to commute. The study indicates that majority of the workers prefer public transportation for commuting. They are more likely to commute between 8 am to 10 am in the morning. Scenario analyses were done to understand the shifts in travel mode of workers, with changes in travel time. These results highlight the substantial impact of travel time on mode share of commuters in the area.
社会人口特征对印度中等城市通勤者活动出行行为的影响
由于缺乏或缺乏资金,中小城市的技术发展速度往往较慢。因此,应该一丝不苟地对这些城市的设施进行适当的规划。这需要了解个人的旅行需求。由于大多数的旅行都是为了工作,本研究旨在探讨工人的活动和旅行偏好。大多数通勤者可能会在一天中的同一时间出行,导致高峰时段的交通拥堵。在这种情况下,有必要探讨个人的通勤行为。它还帮助交通工程师和规划者认识到个人偏好,以达到用户友好的策略和可持续的环境。本研究的目的是确定与出行相关的工作通勤选择。这些选择维度是通过活动参与模型、模式和时间选择模型来探索的,使用多项和二元logit建模方法结合社会人口特征。建模结果强调了性别、年龄和在校儿童的存在等变量对个人通勤决定的重要性。研究表明,大多数上班族更喜欢乘坐公共交通工具上下班。他们更有可能在早上8点到10点之间上下班。通过情景分析,了解员工出行方式随出行时间变化的变化。这些结果突出了出行时间对该地区通勤者模式份额的重大影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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