Evaluation and determinants of metro users' regularity: Insights from transit one-card data
Regularity is typically defined based on the repetitive travel behavior of individuals, referring
to how often travelers would utilize a specific service within a given spatio-temporal context …
to how often travelers would utilize a specific service within a given spatio-temporal context …
[HTML][HTML] Variability in regularity: Mining temporal mobility patterns in London, Singapore and Beijing using smart-card data
To discover regularities in human mobility is of fundamental importance to our
understanding of urban dynamics, and essential to city and transport planning, urban …
understanding of urban dynamics, and essential to city and transport planning, urban …
Activity-based individual travel regularity exploring with entropy-space K-means clustering using smart card data
Travel activities influence individual travel location, time, and frequencies. Understanding
individual travel regularity under different activities is crucial for individual mobility prediction …
individual travel regularity under different activities is crucial for individual mobility prediction …
Analyzing spatiotemporal distribution patterns of metro ridership: Comparison between common-class and business-class carriage service
Understanding differentiated services is pivotal for enhancing the appeal and diversity of the
metro system, yet this facet has received relatively scant attention in existing literature. To …
metro system, yet this facet has received relatively scant attention in existing literature. To …
[HTML][HTML] Exploring spatiotemporal variation in hourly metro ridership at station level: the influence of built environment and topological structure
Z Shi, N Zhang, Y Liu, W Xu - Sustainability, 2018 - mdpi.com
Reliable and accurate estimates of metro demand can provide metro authorities with
insightful information for the planning of route alignment and station locations. Many existing …
insightful information for the planning of route alignment and station locations. Many existing …
Association between built environment characteristics and metro usage at station level with a big data approach
Transit-oriented development (TOD) planning strategy has been widely implemented
worldwide to formulate dense, mixed-use built environment in the past three decades. The …
worldwide to formulate dense, mixed-use built environment in the past three decades. The …
Exploring temporal variability in travel patterns on public transit using big smart card data
X Zhao, M Cui, D Levinson - Environment and Planning B …, 2023 - journals.sagepub.com
Passengers generate travel behaviours on public transit, whose variations deserve an
exploration with an aim to guide daily-updated managements. In this study, we investigate …
exploration with an aim to guide daily-updated managements. In this study, we investigate …
Examining the effects of station-level factors on metro ridership using multiscale geographically weighted regression
M Li, MP Kwan, W Hu, R Li, J Wang - Journal of Transport Geography, 2023 - Elsevier
Metro systems provide a mass and sustainable mobility option for urban populations.
Drawing on the ridership data in 2019 released by the Shanghai Municipal Transportation …
Drawing on the ridership data in 2019 released by the Shanghai Municipal Transportation …
[HTML][HTML] Access–egress and other travel characteristics of metro users in Delhi and its satellite cities
R Goel, G Tiwari - IATSS Research, 2016 - Elsevier
We present details of access–egress as well as other travel characteristics of metro users in
Delhi, and its satellite cities. For this study, we conducted an on-board survey of metro …
Delhi, and its satellite cities. For this study, we conducted an on-board survey of metro …
[HTML][HTML] Incorporating smart card data in spatio-temporal analysis of metro travel distances
E Chen, Z Ye, H Bi - Sustainability, 2019 - mdpi.com
The primary objective of this study is to explore spatio-temporal effects of the built
environment on station-based travel distances through large-scale data processing …
environment on station-based travel distances through large-scale data processing …