澄清印度艾哈迈达巴德的公共交通使用情况

Takashi Hiraide, T. Kawasaki, S. Hanaoka
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引用次数: 1

摘要

印度艾哈迈达巴德在高峰时段存在严重的交通拥堵问题。这主要是由于汽车和摩托车的使用。2011年,在艾哈迈达巴德,由名为“AMTS”的公交系统和名为“BRTS”的快速公交系统组成的公共交通的使用率仅占交通方式的12%。本研究探讨了艾哈迈达巴德汽车和摩托车车主中不使用公共交通工具及其来源的潜在条件。2017年12月,我们进行了一项家庭问卷调查,收集了受访者对艾哈迈达巴德郊区公共交通及其支线服务的主观印象。在技术接受模型2的基础上,利用结构方程模型建立了运输不接受模型。我们发现,在潜在变量中,汽车和摩托车车主的“无使用优势”对不使用AMTS的影响最大,其次是“使用负担”。观察变量“转移努力”和“路径选择努力”显著影响“使用负担”潜变量。机动人力车的“使用负担”对不使用AMTS的影响比较大。这意味着改善支线服务(即自动黄包车与自动运输系统之间的连接)对于提高自动运输系统的使用非常重要。对于BRTS,潜在变量中“公共交通(即售票系统)使用负担”和“机动三轮车”的影响最大。在AMTS和BRTS中都观察到自动黄包车作为馈线服务的几个负面印象。特别是,“家人和朋友不使用机动三轮车”等主观规范对不使用公共交通工具产生了影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
CLARIFICATION OF PUBLIC TRANSPORT USAGE CONDITIONS IN AHMEDABAD, INDIA
Ahmedabad, India, has serious traffic congestion problems in peak periods. This is mainly due to the use of cars and motorcycles. The usage of public transport, consisting of a bus system called “AMTS” and a rapid transit bus called “BRTS”, represented only a 12% modal share in Ahmedabad in 2011. This study explores the conditions underlying the non-use of public transport and its feeders among car and motorcycle owners in Ahmedabad. We conducted a household questionnaire survey that gathers respondents’ subjective impressions of public transport and its feeder services in the suburban areas of Ahmedabad in December 2017. A Transport Unacceptance Model is developed based on the Technology Acceptance Model 2 using structural equation modelling based on the collected samples. We reveal that the “no advantage to use” among the owners of cars and motorcycles has the highest effect on the non-use of AMTS among the latent variables, followed by “burden to use”. The observed variables “effort to transfer” and “effort of route choice” significantly affect the “burden to use” latent variable. “Burden to use” regarding auto-rickshaws has a relatively strong effect on the non-use of AMTS. This implies that improving feeder services (i.e. the connectivity between auto-rickshaws and AMTS) is important for enhancing the use of AMTS. As for BRTS, “burden to use public transport (i.e. ticketing system)” and “auto-rickshaw” have the strongest effects among the latent variables. Several negative impressions of auto-rickshaws as a feeder service are observed in both AMTS and BRTS. Particularly, subjective norms such as “family and friends do not use auto-rickshaw” are influential on the non-use of public transport.
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