[1]陈君,李广伟,王春,等.基于多源数据的公交出行时间影响因素研究[J].长安大学学报(自然科学版),2025,45(5):152-162.[doi:10.19721/j.cnki.1671-8879.2025.05.013]
　CHEN Jun,LI Guang-wei,WANG Chun,et al.Exploring on influencing factors of bus travel time based on muti-source data[J].Journal of Chang’an University (Natural Science Edition),2025,45(5):152-162.[doi:10.19721/j.cnki.1671-8879.2025.05.013]
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基于多源数据的公交出行时间影响因素研究()
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长安大学学报（自然科学版）[ISSN:1006-6977/CN:61-1281/TN]

卷:
第45卷
期数:
2025年5期
页码:
152-162
栏目:
交通工程
出版日期:
2025-09-30

文章信息/Info

Title:
Exploring on influencing factors of bus travel time based on muti-source data
文章编号:
1671-8879(2025)05-0152-11
作者:
陈君; 李广伟; 王春; 李晓伟
(西安建筑科技大学 城市发展与现代交通学院,陕西 西安 710055)
Author(s):
CHEN Jun;  LI Guang-wei;  WANG Chun;  LI Xiao-wei
(College of Urban Development and Modern Transportation, Xi'an University of Architecture and Technology,Xi'an 710055, Shaanxi, China)
关键词:
交通工程;  公交出行时间;  多元回归分析;  影响因素;  智能公交系统;  多源数据
Keywords:
traffic engineering;  bus travel time;  multiple regression analysis;  influencing factors;  advanced public transportation system;  muti-source data
分类号:
U491.17
DOI:
10.19721/j.cnki.1671-8879.2025.05.013
文献标志码:
A
摘要:
为了探索公交出行时间(BTT)的影响因素及其效应,利用智能公交系统数据获取个体公交乘客的出行OD和出行时间,并集成天气、兴趣点、城市路网等多源数据,构建涵盖公交出行时空特征、公交线路属性、建成环境特征以及天气条件的BTT多元回归模型,分析了各影响因素对BTT的单一效应和交互效应。研究结果表明:正向影响BTT的主要因素按重要性由大到小排序依次为停站次数、起点商业类兴趣点(POI)数量、傍晚时段、起点用地多样性、出行距离、信号交叉口个数、早晨时段、路侧住宅类POI数量、休息日、中雨等; 起点住宅类POI数量和起点道路网密度对BTT有负向影响; 实践中应首先考虑通过优化站点设置、减少停站次数、压缩停站时间等措施缩短BTT; 在未设置公交专用道的条件下,主干路长度对BTT有递增的边际效应; 出行时间、天气条件等因素对BTT的影响存在显著的异质性; 工作日早晨时段对BTT的影响为正,而休息日早晨的影响为负; 相较于工作日,休息日路侧住宅类POI数量对BTT的影响程度更弱; 非早晚时段相比傍晚时段,信号交叉口数量对BTT的影响更为显著; 中雨相较于其他天气条件,出行距离对BTT的影响更强,而停站次数对BTT的影响更弱。研究结果能够为公交导向的城市规划、公交系统优化和管理决策提供参考依据。
Abstract:
To explore influencing factors and their effects on bus travel time(BTT), travel origin-destination andtravel time of individual passengers were obtained using advanced public transportation system data. Byintegrating multi-source data of weather, point of interest, and urban road network, the multiple regression model forBTT was established considering four categories of factors: bus travel temporal and spatial characteristics, bus routeattributes, built environment features, and weather conditions. This model was applied to analyze the single andinteractive effects of various influencing factors on BTT.The results indicate that the primary factors positivelyaffecting BTT, in order of importance, are:the number of bus stops, the number of commercial POI at the origin,evening hours, diversity of land use at the origin, travel distance, the number of signalized intersections, morninghours, the number of residential POIs along the route, weekends, and moderate rain. Conversely, the number of residential POIs at the origin and the density of road network at the origin have negative influence. In practice, itshould be primarily considered to optimize the bus stops setting and reduce the number of stops and the dwelling time toshorten BTT. While exclusive bus lanes are absent, the length of arterial road has increasing marginal effect on BTT.There is significant heterogeneity in the influencing factors such as travel time and weather conditions on BTT.Morning hours have a positive effect on BTT during weekdays but a negative effect on weekends. Compared toweekdays, the influence of the number of residential POIs along the route on BTT is weaker on weekends. Theimpact of the number of signalized intersections on BTT is more significant during non-morning-or -evening hourscompared to evening hours. In moderate rain weather condition, travel distance has a stronger influence on BTTcompared to other weather conditions, while the number of stops has a weaker impact. The conclusions of this studycan serve as a reference for transit-oriented urban planning, bus system optimization, and management decisions.5 tabs, 1 fig, 28 refs.

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备注/Memo

备注/Memo:
收稿日期:2025-01-31
基金项目:国家自然科学基金项目(52472367); 陕西省自然科学基础研究计划项目(2025JC-YBMS-450)
作者简介:陈 君(1977-),男,陕西平利人,教授,工学博士,E-mail:chenjuntom@126.com。
通信作者:李晓伟(1985-),男,河南信阳人,副教授,工学博士,E-mail:lixiaowei@xauat.edu.cn。
更新日期/Last Update: 2025-09-30