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Latent class approach to classify e-scooter non-users: A comparative study of Helsinki and Tokyo
Travel Behaviour and Society ( IF 5.1 ) Pub Date : 2024-11-05 , DOI: 10.1016/j.tbs.2024.100941 Samira Dibaj, Hizaki Keiichi, Rie Goto, Ayako Taniguchi, Miloš N. Mladenović
Travel Behaviour and Society ( IF 5.1 ) Pub Date : 2024-11-05 , DOI: 10.1016/j.tbs.2024.100941 Samira Dibaj, Hizaki Keiichi, Rie Goto, Ayako Taniguchi, Miloš N. Mladenović
Recent years have seen a rapid deployment of shared electric scooters (e-scooters), across hundreds of cities worldwide. Despite the global diffusion, most urban residents are still not using e-scooters, and they often bear the negative consequences of e- scooter deployment. This comparative study investigates the attitudes and characteristics of the e-scooter non-users in Helsinki, Finland and Tokyo, Japan using latent class clustering analysis. Our findings reveal five classes of e-scooter non-users, ranging from very negative perspectives to the least negative perspectives towards e-scooter deployment. Non-users also have a diverse set of socio-demographics background, including variation across age, gender, and income. In addition, non-users mostly do not feel the necessity of using an e-scooter as well as lack competences and have safety concerns. Safety concerns are dominant among those with more negative perceptions, while classes with the least negative perceptions and low income tend to not use e-scooters due to high rental costs. Understanding the different categories and perspectives of non-users, alongside with understanding users, has clear smart mobility policy and management implications. On the one hand, it should help with understanding the effectiveness of different interventions stemming from e-scooter operators and public policy actors. On the other hand, this study’s findings contribute to understanding public acceptability of e-scooter technology and associated policy and management actions. The study also opens further pathways for both comparative studies and for understanding different groups of users and non-users of smart mobility technologies.
中文翻译:
对电动滑板车非使用者进行分类的潜在类别方法:赫尔辛基和东京的比较研究
近年来,共享电动滑板车 (e-scooters) 在全球数百个城市迅速部署。尽管在全球范围内传播,但大多数城市居民仍然没有使用电动滑板车,他们经常承担电动滑板车部署的负面后果。这项比较研究使用潜在类别聚类分析调查了芬兰赫尔辛基和日本东京的电动滑板车非使用者的态度和特征。我们的研究结果揭示了五类电动滑板车非使用者,从对电动滑板车部署的非常负面的看法到最负面的观点。非用户还具有多种多样的社会人口统计背景,包括年龄、性别和收入的变化。此外,非用户大多不觉得使用电动滑板车的必要性,并且缺乏能力,有安全问题。安全问题在那些负面看法较多的人中占主导地位,而负面看法最少且收入低的阶层由于租金高,往往不会使用电动滑板车。了解非用户的不同类别和观点,以及了解用户,具有明确的智能移动策略和管理意义。一方面,它应该有助于了解电动滑板车运营商和公共政策参与者产生的不同干预措施的有效性。另一方面,本研究的结果有助于了解公众对电动滑板车技术以及相关政策和管理行动的接受度。该研究还为比较研究和了解智能移动技术的不同用户群体和非用户开辟了进一步的途径。
更新日期:2024-11-05
中文翻译:
对电动滑板车非使用者进行分类的潜在类别方法:赫尔辛基和东京的比较研究
近年来,共享电动滑板车 (e-scooters) 在全球数百个城市迅速部署。尽管在全球范围内传播,但大多数城市居民仍然没有使用电动滑板车,他们经常承担电动滑板车部署的负面后果。这项比较研究使用潜在类别聚类分析调查了芬兰赫尔辛基和日本东京的电动滑板车非使用者的态度和特征。我们的研究结果揭示了五类电动滑板车非使用者,从对电动滑板车部署的非常负面的看法到最负面的观点。非用户还具有多种多样的社会人口统计背景,包括年龄、性别和收入的变化。此外,非用户大多不觉得使用电动滑板车的必要性,并且缺乏能力,有安全问题。安全问题在那些负面看法较多的人中占主导地位,而负面看法最少且收入低的阶层由于租金高,往往不会使用电动滑板车。了解非用户的不同类别和观点,以及了解用户,具有明确的智能移动策略和管理意义。一方面,它应该有助于了解电动滑板车运营商和公共政策参与者产生的不同干预措施的有效性。另一方面,本研究的结果有助于了解公众对电动滑板车技术以及相关政策和管理行动的接受度。该研究还为比较研究和了解智能移动技术的不同用户群体和非用户开辟了进一步的途径。