基于IC卡数据的建成环境与 公交出行率关系研究

近年来，建成环境对公交出行率的影响已逐渐引起重视，本文从不同层面捕捉影响公交出行率的内在要素，从理论上揭示建成环境影响公交出行率存在差异性的原因.以武汉市为例，基于公交 IC卡数据，提出分层线性模型研究站点周边建成环境、行政区域的社会经济变量对公交出行行为的复合影响.结果表明：不同分区中站点层面的建成环境对公交出行率的影响程度和作用存在明显差异性；而分区层面的人口密度、公交投入是导致这类差异的重要因素，并对公交出行率产生加成效应.本研究可为公交导向发展理念下的城市规划设计提供理论与技术支撑.

Exploring the Relationship Between Built Environment and Bus Transit Usage Based on IC Card Data

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.