远程办公对日本公民旅行、活动和居住地点的影响:COVID-19大流行下的经验和未来期望

Jinjia Liang , Tomio Miwa , Jianbiao Wang , Takayuki Morikawa
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引用次数: 1

摘要

在过去几年中,远程办公在许多发达国家大规模普及;然而,由于各种因素和文化差异,它在日本的受欢迎程度较低。新冠肺炎的爆发使远程办公的采用变得不可或缺,在日本达到了前所未有的水平,给公民的生活方式和行为带来了翻天覆地的变化。这项研究调查了疫情引发的远程办公如何以及在多大程度上影响员工的旅行、活动和居住地点,并探讨了他们对疫情后生活的期望。这些数据是通过在日本三个主要大都市地区进行的在线问卷调查收集的,该调查包含了一系列关于远程办公的实施和可行性、疫情前后的生活方式以及疫情后的预期生活方式的综合问题,共收集了2045名受访者。该分析是基于披露的偏好数据进行的,考虑了两个时间段,即新冠肺炎之前、新冠肺炎期间和考虑了所述偏好的19年后情景。在第一步中,基于汇总样本数据估计远程办公行为、远程办公偏好和计划以及活动模式。接下来,通过使用所进行的陈述偏好调查,分别应用有序probit模型和混合logit模型来识别影响疫情后远程办公频率和居住地点偏好的因素。该分析揭示了两个主要发现:远程办公在人们的生活方式和活动的多个方面带来了重大变化,这种变化可能在疫情后持续存在;尽管新冠肺炎后远程办公频率和居住地点选择的决定因素在大都市地区可能有所不同,但通勤/远程办公频率是影响居住地点决定的主要因素。这项研究的结果可以指导交通和城市规划者为新常态时代建立有效的出行需求管理工具和可持续的城市网络。
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Impact of telecommuting on Japanese Citizen's travel, activities, and residential locations: Experiences and future expectations under COVID-19 pandemic

In the past few years, telecommuting has diffused on a large scale across many developed countries; however, its popularity in Japan is low due to various factors and cultural differences. The outbreak of COVID-19 has made the adoption of telecommuting indispensable, reaching an unprecedented level in Japan, bringing dramatic changes in the lifestyles and behaviors of citizens. This study investigates how and to what extent this pandemic-induced telecommuting affected employees’ travel, activities, and residence locations and explores their expectations of post-pandemic life. The data were collected through the online questionnaire survey across three major metropolitan areas in Japan that incorporates a comprehensive set of questions regarding telecommuting implementation and feasibility, lifestyles before and during the pandemic, and expected way of life after the pandemic, and the total of 2045 respondents were collected. The analysis has been done based on revealed preference data considering two time periods i.e., before COVID-19, during COVID-19, and for the post-COVID 19 scenario where stated preferences are considered. In the first step, telecommuting behavior, telecommuting preferences and plans, and activity patterns are estimated based on aggregate sample data. Next, by using the stated preference survey conducted, ordered probit model and mixed logit model are applied to identify factors influencing post-pandemic telecommuting frequency and residential location preference, respectively. The analysis revealed two major findings: telecommuting brought significant changes in multiple aspects of people’s lifestyles and activities that might persist after the pandemic; although determinants that govern telecommuting frequency and residential location choice after COVID-19 may differ across metropolitan areas, commuting/telecommuting frequency is the prime factor influencing residential location decisions. The findings of this research can guide transportation and urban planners in establishing effective travel demand management tools and sustainable urban networks for the new-normal era.

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