文章基本信息

标题：Built environment determinants of bicycle volume: A longitudinal analysis
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作者：Peng Chen ; Jiangping Zhou ; Feiyang Sun 等
期刊名称：Journal of Transport and Land Use
印刷版ISSN：1938-7849
出版年度：2017
卷号：10
期号：1
DOI：10.5198/jtlu.2017.892
语种：English
出版社：University of Minnesota * Department of Civil, Environmental, and Geo-Engineering
摘要：This study examines determinants of bicycle volume in the built environment with a five-year bicycle count dataset from Seattle, Washington. A generalized linear mixed model (GLMM) is used to capture the bicycle volume change over time while controlling for temporal autocorrelations. The GLMM assumes that bicycle count follows a Poisson distribution. The model results show that (1) the variables of non-winter seasons, peak hours, and weekends are positively associated with the increase of bicycle counts over time; (2) bicycle counts are fewer in steep areas; (3) bicycle counts are greater in zones with more mixed land use, a higher percentage of water bodies, or a greater percentage of workplaces; (4) the increment of bicycle infrastructure is positively associated with the increase of bicycle volume; and (5) bicycling is more popular in neighborhoods with a greater percentage of whites and younger adults. It concludes that areas with a smaller slope variation, a higher employment density, and a shorter distance to water bodies encourage bicycling. This conclusion suggests that to best boost bicycling, decision-makers should consider building more bicycle facilities in flat areas and integrating the facilities with employment densification and open-space creation and planning.
关键词：bicycle volume; built environment; longitudinal data analysis; generalized linear mixed model