Analyzing Spatial-Temporal Patterns of Passengers during Large-Scale Events from the Perspective of the Symmetric Round Trip: A Case Study of the Fourth China International Import Expo in Shanghai

Major city exhibitions significantly impact urban public transport, presenting challenges that are often overlooked in current research. This is especially evident in terms of passengers’ symmetric round trips and the influence of participant types on spatial-temporal features during large events. This study addresses these gaps by categorizing passengers into bilateral commuters and unilateral travelers, analyzing urban rail systems’ spatial-temporal characteristics through data-driven methods and diverse visualization techniques. Focusing on the fourth China International Import Expo (CIIE), we discovered variations in travel duration, time preferences, commuting habits, and station symmetry among different participant types, linked to their trip purposes. These insights are vital for decision-making and flow management in large events, enhancing urban transport management and event sustainability.

Authors

Institutions

Publication Details

Published
2024-12-11
DOI
https://doi.org/10.1061/9780784485484.338
Primary Topic
Urban and Freight Transport Logistics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analyzing Spatial-Temporal Patterns of Passengers during Large-Scale Events from the Perspective of the Symmetric Round Trip: A Case Study of the Fourth China International Import Expo in Shanghai

Wei Liu, Meihan Jin, Jingjing Chen, Xiaoling Liu
Urban and Freight Transport Logistics
article

Analyzing Spatial-Temporal Patterns of Passengers during Large-Scale Events from the Perspective of the Symmetric Round Trip: A Case Study of the Fourth China International Import Expo in Shanghai

Wei Liu, Meihan Jin, Jingjing Chen, Xiaoling Liu
article en

Abstract

Major city exhibitions significantly impact urban public transport, presenting challenges that are often overlooked in current research. This is especially evident in terms of passengers’ symmetric round trips and the influence of participant types on spatial-temporal features during large events. This study addresses these gaps by categorizing passengers into bilateral commuters and unilateral travelers, analyzing urban rail systems’ spatial-temporal characteristics through data-driven methods and diverse visualization techniques. Focusing on the fourth China International Import Expo (CIIE), we discovered variations in travel duration, time preferences, commuting habits, and station symmetry among different participant types, linked to their trip purposes. These insights are vital for decision-making and flow management in large events, enhancing urban transport management and event sustainability.

Shenzhen Technology University (CN)
Openalex Percentile: Top 76%
Urban and Freight Transport Logistics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.