Carpooling Adoption for Educational trips toward Sustainable Mobility in an Emerging Economy:: A Case Study of Thammasat University, Thailand

W. Lowe, M. Piantanakulchai
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引用次数: 1

Abstract

Carpooling is emerging as a sustainable transport mode because of promising benefits in reducing carbon emissions, traveling costs, traffic congestion, etc. However, encouraging car drivers to offer carpooling services in developing countries is challenging due to no proper studies background. Therefore, this study investigated the determinants of carpooling adoption as drivers (not passengers) toward sustainable mobility in an emerging economy. The study used the primary dataset of 180 observations gathered at Thammasat University, Pathum Thani, Thailand. The sample data were analyzed using Structural Equation Modeling (SEM). The binary carpooling choice (i.e., offering and not offering) was used as the endogenous variable. The incentive attributes (hypothetical), sociodemographic characteristics, travel-related variables, and primary reasons for private car use were considered as the exogenous variables. The highlighted findings identified incentive attributes as potential determinants to incline car drivers to offer carpool rides. Female married and the 18–39-year group were more inclined to adopt carpooling than males, unmarried and the ≥40-year group, respectively. Household car ownership increases the likelihood of carpooling while motorcycle ownership does otherwise. Drivers who use private cars on account of privacy and non-availability of public transport are more inclined to offer carpool rides. Also, the study presented policy implications for carpooling adoption as drivers based on the multivariate statistical analysis. The findings enhanced the direction for carpooling adoption for educational trips toward sustainable mobility.
新兴经济体教育出行中采用拼车模式:以泰国法政大学为例
拼车正在成为一种可持续的交通方式,因为它在减少碳排放、旅行成本、交通拥堵等方面有很大的好处。然而,由于没有适当的研究背景,在发展中国家鼓励汽车司机提供拼车服务是具有挑战性的。因此,本研究调查了新兴经济体中司机(而非乘客)采用拼车的决定因素。该研究使用了在泰国巴吞他尼的法政大学收集的180个观测数据的主要数据集。采用结构方程模型(SEM)对样品数据进行分析。采用二元拼车选择(即提供和不提供)作为内生变量。外生变量包括激励属性(假设)、社会人口学特征、出行相关变量和私家车使用的主要原因。重点研究发现,激励因素是促使汽车司机提供拼车服务的潜在决定因素。已婚女性和18 - 39岁人群比男性、未婚女性和≥40岁人群更倾向于拼车。家庭拥有汽车增加了拼车的可能性,而拥有摩托车则不然。考虑到隐私和没有公共交通工具,使用私家车的司机更倾向于提供拼车服务。在多元统计分析的基础上,提出了拼车的政策含义。研究结果增强了拼车教育出行向可持续移动方向发展的方向。
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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