An Improved Machine Learning Framework Considering Spatiotemporal Heterogeneity for Analyzing the Relationship Between Subway Station-Level Passenger Flow Resilience and Land Use-Related Built Environment DOI Creative Commons
Peikun Li,

Quantao Yang,

Wenbo Lu

et al.

Land, Journal Year: 2024, Volume and Issue: 13(11), P. 1887 - 1887

Published: Nov. 11, 2024

The COVID-19 pandemic and similar public health emergencies have significantly impacted global travel patterns. Analyzing the recovery characteristics of subway station-level passenger flow during phase can offer unique insights into transportation operations guide practical planning efforts. This pioneering study constructs a resilience (PFRR) index rapid using AFC system swipe data. Additionally, it develops an analytical framework based on multiscale geographically weighted regression (MGWR) model, improved gray wolf optimization with Levy flight (LGWO), light gradient boosting machine (LightGBM) to analyze weekdays weekends in relation land use-related built environment types. Finally, SHAP attribution analysis is used nonlinear relationships between variables PFRR index. results show significant spatial heterogeneity impact commercial, recreational, residential land, as well POI (points interest) leisure shopping PFRR. On weekdays, most relevant for are enterprises numbers. In contrast, contribution affecting weekend more balanced, reflecting non-essential weekends. Most exhibit associations values. proposed shows performance advantages over other baseline models. provides surrounding development layouts under emergencies.

Language: Английский

Crafting a jogging-friendly city: Harnessing big data to evaluate the runnability of urban streets DOI
Feng Gao, Xin Chen,

Shunyi Liao

et al.

Journal of Transport Geography, Journal Year: 2024, Volume and Issue: 121, P. 104015 - 104015

Published: Oct. 1, 2024

Language: Английский

Citations

8

Nonlinear impact of built environment on people with disabilities’ metro use behavior DOI
Hong Yang,

Jiandong Peng,

Yi Lü

et al.

Applied Geography, Journal Year: 2024, Volume and Issue: 169, P. 103323 - 103323

Published: June 26, 2024

Language: Английский

Citations

6

Comparative analysis of nonlinear impacts on the built environment within station areas with different metro ridership segments DOI

Jiandong Peng,

Xinli Fu,

Chia-Lo Wu

et al.

Travel Behaviour and Society, Journal Year: 2024, Volume and Issue: 38, P. 100898 - 100898

Published: Aug. 30, 2024

Language: Английский

Citations

6

Using cell phone usage data to explore the spatial distribution of virtual leisure and the impact on reality leisure DOI
Lei Wu,

Huixia Deng,

Jinpeng Hu

et al.

Leisure Studies, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 15

Published: Feb. 12, 2024

This study aimed to determine the geospatial distribution of Virtual Leisure (VL) users and impact VL on users' reality leisure behaviours. The empirical analysis was conducted using cell phone usage data collected from Unicom platform in Wuhan, China (N= 2.84×106). information duration virtual APP usage, their place residence, frequency visits spaces. Our research suggests that individuals residing suburban areas, situated at a distance urban centres, are more likely use compared those living central city, although levels remain high latter. Furthermore, our findings also indicate individual's behaviour an individual varies according type activity, which could either act as substitute or facilitator. can inform discussion geography interaction real spaces, intervention

Language: Английский

Citations

3

COVID-19 impact on taxi-metro integrated usage: Changes and role of built environment, taking Lanzhou, China as an example DOI
Qixiang Chen, Bin Lv, Xianlin Li

et al.

Travel Behaviour and Society, Journal Year: 2024, Volume and Issue: 36, P. 100785 - 100785

Published: March 16, 2024

Language: Английский

Citations

3

After Forced Relocation: Assessing the Impact of Urban Regeneration on Residents’ Living Spaces in Wuhan, China DOI
Qiang Niu,

Yushi Xi,

Zhouwei Hu

et al.

Housing Policy Debate, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 19

Published: April 9, 2024

Tracking forced relocation due to urban regeneration can help deepen the understanding of beyond perceived limits displacement. Existing research has not sufficiently explored new experiences following adjustment China's urban-regeneration policy. This article explores an approach that uses location-based service data study relocatees for regeneration, which be generalized across different regions expand international knowledge and comparative research. Focusing on Wuhan, impact living environment was evaluated from three aspects: housing conditions, neighborhood facilities, jobs–housing commuting, using difference-in-difference model. The found: (1) most chose live near their original residences; (2) improved conditions decreased commuting but a negative effect facilities. We conclude by discussing methodology applying mobile phone studies.

Language: Английский

Citations

3

Can TOD help metro station ridership ‘early recovery’ from COVID-19? An empirical evidence from Nanjing DOI
Ming Yin, Yuqi Fan, Yu Wang

et al.

Journal of Transport Geography, Journal Year: 2025, Volume and Issue: 123, P. 104107 - 104107

Published: Jan. 6, 2025

Language: Английский

Citations

0

Discovering impacts of built environment on transit ridership in the post-COVID era: Policy intervention and nonlinear dynamics DOI Creative Commons
Zhe Ding, Enhui Chen, Jing Teng

et al.

International Journal of Transportation Science and Technology, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 1, 2025

Language: Английский

Citations

0

Impact of the “Class B Infectious Disease Class B Management” Policy on the Passenger Volume of Urban Rail Transit: A Nationwide Interrupted Time Series Study DOI Open Access

Mengchen Yang,

Yusong Zhu,

Xiang Ji

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(6), P. 2365 - 2365

Published: March 7, 2025

Between 2019 and 2022, passenger volume on China’s urban rail transit system sharply declined due to strict COVID-19 control measures. On 8 January 2023, China implemented the “Class B infectious disease Class management” policy, marking a significant shift towards more relaxed approach epidemic control. The main objective of this study is evaluate immediate lasting effects policy volume. We used interrupted time series (ITS), combined with quasi-Poisson regression models counterfactual analysis, analyze monthly operation data covering period from 2021 June 2024 for 42 cities. Our analysis shows that, relative expected trend without any intervention, average increased by approximately 101.34% after policy’s implementation, observed in 41 cities 33 concludes that has generally promoted nationwide recovery volume, although heterogeneity across This result indicates reduction travel restrictions restoration public safety, resulting relaxation prevention measures, contributed overall transit. not only provides innovative methodological insights but also offers valuable guidance developing effective planning strategies operational measures post-pandemic era.

Language: Английский

Citations

0

Unraveling the network effects in station ridership growth patterns under metro network expansion DOI Creative Commons
Fangyi Ding, Yan Tang,

Yamin Wang

et al.

Journal of Transport Geography, Journal Year: 2025, Volume and Issue: 125, P. 104205 - 104205

Published: March 26, 2025

Language: Английский

Citations

0