|Table of Contents|

Exploring on influencing factors of bus travel time based on muti-source data(PDF)

长安大学学报（自然科学版）[ISSN:1006-6977/CN:61-1281/TN]

Issue:
2025年5期
Page:
152-162
Research Field:
交通工程
Publishing date:

Info

Title:
Exploring on influencing factors of bus travel time based on muti-source data
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)
Keywords:
traffic engineering;  bus travel time;  multiple regression analysis;  influencing factors;  advanced public transportation system;  muti-source data
PACS:
U491.17
DOI:
10.19721/j.cnki.1671-8879.2025.05.013
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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Last Update: 2025-09-30