建成环境对共享单车与地铁组合出行的影响关系

doi:10.16097/j.cnki.1009-6744.2024.04.019

交通运输系统工程与信息 ›› 2024, Vol. 24 ›› Issue (4): 200-211.DOI: 10.16097/j.cnki.1009-6744.2024.04.019

建成环境对共享单车与地铁组合出行的影响关系

关昊天^a,b，戢晓峰^*a,b，李武^a,b，陈方^b，邓若凡^a,b

昆明理工大学，a.交通工程学院；b.云南省现代物流工程研究中心，昆明650504

收稿日期:2024-04-16 修回日期:2024-07-07 接受日期:2024-07-16 出版日期:2024-08-25 发布日期:2024-08-22
作者简介:关昊天(1997- )，男，安徽宿州人，博士生。
基金资助:
国家自然科学基金(42061030)；云南省交通运输厅科技创新及示范项目 (2022-27(二))。

Influence of Built Environment on Integrated Use of Bike Sharing and Metro

GUANHaotian^a,b,JI Xiaofeng^*a,b,LI Wu^a,b,CHEN Fang^b,DENG Ruofan^a,b

a. Faculty of Transportation Engineering; b. Yunnan Modern Logistics Engineering Research Center, Kunming University of Science and Technology, Kunming 650504, China

Received:2024-04-16 Revised:2024-07-07 Accepted:2024-07-16 Online:2024-08-25 Published:2024-08-22
Supported by:
NationalNaturalScienceFoundation of China (42061030)； Yunnan Provincial Department of Transportation Science and Technology Innovation and Demonstration Project (2022-27(二))。

摘要/Abstract

摘要： 为探究建成环境对共享单车与地铁组合出行需求的影响，首先，基于12万次的共享单车出行数据，采用空间置信椭圆技术，刻画地铁站点领域内的共享单车集聚特征；其次，建立自行车—地铁骑行集聚缓冲区的量化方法，从密度、交通设施、土地利用、目的可达性以及地铁客流这5个维度评估地铁站点领域内的建成环境属性；最后，引入梯度提升决策树模型拟合建成环境因素与组合出行需求之间的非线性作用关系。研究发现，地铁客流和工作场所是影响组合出行的核心因素，展示了明显的阈值效应，商业活动的增加在初期可以增强组合出行的需求，但过高的密度会因交通拥堵导致负面效应；公交站点密度的提升表征了共享单车与公交系统之间的相互竞争，突显了城市交通模式间的复杂互动；进一步，土地利用多样性和人口密度对组合出行的非线性影响，反映了城市规划与居民通勤模式的深层次联系。

关键词: 城市交通, 组合出行, 梯度提升决策树, 共享单车, 建成环境, 骑行集聚缓冲区

Abstract: This study investigates the impact of the built environment on the demand for dockless bike-sharing (DBS) and integrated metro use. A number of 120,000 DBS trip records were utilized, and spatial confidence ellipse technology was employed to illustrate the clustering characteristics of DBS near metro stations. Subsequently, a quantitative method for delineating bicycle-metro catchment areas was developed, through which the built environment surrounding metro stations was evaluated through five dimensions: density, transportation facilities, land use, destination accessibility, and metro ridership. Finally, a gradient boosting decision trees (GBDT) model is employed to map the complex and non-linear interactions between the built environment and the necessity for integrated use modalities. The results indicated that metro ridership and workplace locations emerged as significant factors influencing the integrated use, exhibiting a distinct threshold effect. An increase in commercial activities initially elevates the integrated travel demand, but excessive density subsequently triggers adverse effects due to traffic congestion. An uptick in bus stop density indicates a competitive dynamic between shared bikes and public transit, underscoring the intricate interactions within urban transportation systems. Furthermore, the nonlinear effects of land use diversity and population density underscore the profound relationship between urban planning and residents' commuting behaviors.

Key words: urban traffic, integrated use, GBDT, DBS, built environment, bicycle-metro-catchment

中图分类号:

U121

关昊天, 戢晓峰, 李武, 陈方, 邓若凡. 建成环境对共享单车与地铁组合出行的影响关系[J]. 交通运输系统工程与信息, 2024, 24(4): 200-211.

GUANHaotian, JI Xiaofeng, LI Wu, CHEN Fang, DENG Ruofan. Influence of Built Environment on Integrated Use of Bike Sharing and Metro[J]. Journal of Transportation Systems Engineering and Information Technology, 2024, 24(4): 200-211.

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建成环境对共享单车与地铁组合出行的影响关系

Influence of Built Environment on Integrated Use of Bike Sharing and Metro

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