Identifying primary public transit corridors using multi-source big transit data

T Zhang, Y Li, H Yang, C Cui, J Li… - International Journal of …, 2020 - Taylor & Francis
Effective public transit planning needs to address realistic travel demands, which can be
illustrated by corridors across major residential areas and activity centers. It is vital to identify …

[HTML][HTML] Integrating geovisual analytics with machine learning for human mobility pattern discovery

T Zhang, J Wang, C Cui, Y Li, W He, Y Lu… - … International Journal of …, 2019 - mdpi.com
Understanding human movement patterns is of fundamental importance in transportation
planning and management. We propose to examine complex public transit travel patterns …

Transit pattern detection using tensor factorization

B Du, W Zhou, C Liu, Y Cui… - INFORMS Journal on …, 2019 - pubsonline.informs.org
Understanding citywide transit patterns is important for transportation management,
including city planning and route optimization. The wide deployment of automated fare …

Identifying residential and workplace locations from transit smart card data

Y Tian, J Wang, S Winter - Journal of Transport and Land Use, 2019 - JSTOR
Public transit is highly promoted worldwide to reduce traffic congestion. An evidence-based
planning of stop locations and routes with regard to residential and workplace locations can …

Discovering transit-oriented development regions of megacities using heterogeneous urban data

X Kong, F Xia, K Ma, J Li, Q Yang - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Public transport is of great significance in megacities. Transit-oriented development (TOD)
has become a reliable solution to urban sustainable development, which can reshape the …

Spatio-temporal analysis of passenger travel patterns in massive smart card data

J Zhao, Q Qu, F Zhang, C Xu… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Metro systems have become one of the most important public transit services in cities. It is
important to understand individual metro passengers' spatio-temporal travel patterns. More …

Revealing senior mobility patterns and activities in urban transit systems

E Chen, Y Liu, M Yang - IEEE Transactions on Intelligent …, 2023 - ieeexplore.ieee.org
Urban mobility plays a crucial role in maintaining seniors' well-being and quality of life, with
urban transit systems serving as their primary mode of travel. This study focuses on …

[HTML][HTML] Flow orientation analysis for major activity regions based on smart card transit data

P Singh, K Oh, JY Jung - ISPRS International Journal of Geo-Information, 2017 - mdpi.com
Analyzing public movement in transportation networks in a city is significant in
understanding the life of citizen and making improved city plans for the future. This study …

Understanding commuting patterns using transit smart card data

X Ma, C Liu, H Wen, Y Wang, YJ Wu - Journal of Transport Geography, 2017 - Elsevier
Commuting reflects the long-term travel behavior of people and significantly impacts urban
traffic congestion and emission. Recent advances in data availability provide new …

Data‐Driven Approaches to Mining Passenger Travel Patterns:“Left‐Behinds” in a Congested Urban Rail Transit Network

X Chen, L Zhou, Z Bai, Y Yue, B Guo… - Journal of Advanced …, 2019 - Wiley Online Library
The “left‐behind” phenomenon occurs frequently in Urban Rail Transit (URT) networks with
booming travel demand, especially during peak hours in a complex URT network, which …