2024 Volume 80 Issue 20 Article ID: 24-20038
In this study, changes in the population when train service suspensions or delays are expected due to typhoons or heavy snowfall have been grasped in 500m mesh units using mobile spatial statistics in the Tokyo metropolitan area. Next, the commuting behavior of employees who commute by train to the five central wards of Tokyo when bad weather was expected was analyzed using an online survey. As a result, the increase and decrease in the population by region was different from normal times, and it was inferred that behavioral changes such as starting to return home earlier and refraining from going to work and going out had occurred. In addition, analysis of the online survey revealed that the frequency of telecommuting, commuting time, and type of job and industry are factors that determine whether to go to the office or telecommute. The above analysis suggests that it is possible to manage the continuation of work and reduce commuting demand when bad weather is expected.
