서울시 장애인 콜택시 이용특성 및 대기시간 영향 요인 분석 : 장애인 콜택시 빅데이터와 Community Detection을 활용하여

초록

The factors influencing mobility and community living zones for the disabled were analyzed using the call taxi big data and a community detection method in Seoul, Korea. A spatial statistical model was used to analyze the factors affecting the mobility for the disabled. The results of the analysis showed a significant difference between the community living zones of the 2030 Seoul community plan and the actual community living zones determined using the Louvain algorithm. This study also identified the characteristics of mobility for the handicapped. The primary destinations for the individuals with mobility disabilities were hospitals and nursing homes. The mobility of the handicapped was closely related to the operating hours of medical and service facilities. The average waiting time for call taxis for the disabled was 87–90 minutes, with a minimum wait time of 16 minutes and a maximum wait time of 241 minutes. Furthermore, this study confirmed that the handicapped who live in low-income neighborhoods wait longer for call taxis. This finding indicates that public mobility services for the handicapped should be improved in low-income neighborhoods. The results of this study provide valuable insights for the development of public policies that promote the mobility of the handicapped.

키워드