Mapping the motorcycle-based ride-hailing users in Yogyakarta: An analysis of socio-economic factors and preferences

Muhammad Zudhy Irawan , Muhamad Rizki , Saksith Chalermpong , Hironori Kato
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引用次数: 7

Abstract

This study examined the role of socio-economic and preference factors in the frequency of the use of motorcycle-based ride-hailing (MBRH) services, as well as the choices and policy directions between two major MBRH operators in Indonesia: Grab and Gojek. A discrete choice model including ordered, nested, and multinomial logit models were utilized with a sample of 582 MBRH users aged between 18 and 34 years in Yogyakarta, Indonesia. The results show gender, income, motorcycle ownership, and MBRH performances significantly affect the frequency of MBRH use. Meanwhile, socio-economic factors of gender and income, living status, frequency of use, and the MBRH operator's performances, including company profile and apps interface, influence the decision of MBRH operator choice. Furthermore, the difference in age, gender, income, motorcycle ownership, frequency of use, and the perception of MBRH performances as well as social norms also affect policy directions: banned, left unregulated, regulated, and formed partnerships.

绘制日惹摩托车网约车用户:社会经济因素和偏好的分析
本研究考察了社会经济因素和偏好因素在摩托车网约车(MBRH)服务使用频率中的作用,以及印度尼西亚两大MBRH运营商Grab和Gojek之间的选择和政策方向。采用离散选择模型,包括有序、嵌套和多项logit模型,对印度尼西亚日惹市年龄在18至34岁之间的582名MBRH用户进行了抽样研究。结果表明,性别、收入、摩托车拥有量和MBRH性能对MBRH使用频率有显著影响。同时,性别与收入、生活状况、使用频率等社会经济因素,以及MBRH运营商的业绩,包括公司概况、app界面等,都会影响MBRH运营商的选择决策。此外,年龄、性别、收入、摩托车拥有量、使用频率、对MBRH绩效的认知以及社会规范的差异也会影响政策方向:禁止、不管制、管制和建立伙伴关系。
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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CiteScore
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