Identification of Key Determinants on Quality of Life Related Transportation: A Spatial Statistical Modeling Approach Based on Transport Accessibility and Subjective Well-Being
Abstract
This study examines spatial disparities in access issues to provide insights for targeted policy interventions, aiming to improve urban transportation and its influence on quality of life. Using spatial modeling, we conducted an analysis to assess accessibility and its correlation with quality of life, as measured by life satisfaction in Bangkok. We collected two types of data which include physical data from geographic information systems and 600 questionnaire responses. All data were gridded into 500m x 500m cells and subjected to analysis using Geographically Weighted Regression (GWR). The study's outcomes unveil substantial variations in spatial accessibility and preferences across diverse geographical regions. In general, regions with high accessibility consistently demonstrated higher average life satisfaction levels in the context of travel. However, it is crucial to acknowledge that, despite high accessibility, the average life satisfaction associated with travel was relatively low. This phenomenon highlights the idea that mere proximity to transportation modes or residential locations near transportation hubs does not necessarily guarantee an improved quality of travel life. The provision of travel patterns and the alignment of transportation services with user needs emerge as critical factors influencing this intricate relationship, particularly concerning facilitating access to desired activities.