关键词: 城市交通, 公交出行, 分层线性模型, 建成环境, 空间优化

Abstract:

Researches regarding the impact of the built environment on transit usage have gradually attracted wide attention. This study captures correlations between transit usage with attributes from different spatial scales, and reals the causality of differences found in these correlation results. Drawing on the smart card data in Wuhan, this study proposes a bi- level hierarchical linear model (HLM) to explore the compound influence of both the surrounding built environmental factors at neighborhood level and socioeconomic variables at regional level on bus transit trip ratio. The results show that there are obvious differences in the effect and extent of builtenvironment on transit usage across different spatial regions. The population and public transportation investment at regional level are important factors leading to these differences, and further produce additional effects to transit usage. This study could provide theoretical and technical support to guide practice in transit oriented and low carbon urban development.

Key words: urban traffic, transit trip, hierarchical linear model, built-environment, spatial optimization