摘要
轨道交通客流量影响因素是轨道交通方面研究的一个关注点,不同站点客流量的时空非平稳性被认为与站域建成环境有关。通过构建时空地理加权(geographically and temporally weighted regression,GTWR)模型,揭示了土地多样性、密度、站点属性3个方面因素在时间和空间维度上对天津市轨道交通客流量的影响。结果表明:相较于传统的地理加权(geographically weighted regression,GWR)模型和最小二乘法(ordinary least squares,OLS)模型,GTWR具有更好的拟合优度;公交站点密度对轨道交通客流产生促进作用,尤其在工作日的早晚高峰时段和中心城区位置;市中心的商业设施在工作日晚高峰吸引更多的地铁乘客,而在近郊区它们在早高峰吸引更多的地铁乘客;人口密度促进轨道交通的客流量;充足的停车场设施数量可以吸引更多的轨道交通乘客。
The influencing factors of rail transit passenger flow are a focus of rail transit research.The spatio-temporal nonstationarity of passenger flow at different stations was considered to be related to the built environment of station area.A spatio-temporal geographically and temporally weighted regression(GTWR)model was constructed to reveal the impacts of land diversity,density and site attributes on Tianjin rail transit passenger flow in time and space dimensions.Results show that compared with the traditional geographically weighted regression(GWR)model and ordinary least squares(OLS)model,the GTWR model has better goodness of fit.The density of bus stations promotes the passenger flow of rail transit,especially in the morning and evening rush hour of working day and the location of central city.Business facilities in the city centre attract more subway passengers at workday evening peaks,while in the suburbs they attract more subway passengers at morning peaks.Population density promotes passenger flow in rail transit.Adequate parking facilities can attract more rail passengers.
作者
朱敏清
高洁
崔洪军
马新卫
ZHU Minqing;GAO Jie;CUI Hongjun;MA Xinwei(School of Architecture&Art Design,Hebei University of Technology,Tianjin 300130,China;School of Civil and Transportation Engineering,Hebei University of Technology,Tianjin 300401,China)
出处
《北京工业大学学报》
CAS
CSCD
北大核心
2024年第6期724-732,共9页
Journal of Beijing University of Technology
基金
国家自然科学基金资助项目(52172304)
河北省高等学校科学技术研究项目(ZD2022123)。
