Accessible Jobs and Secured Jobs by Mode of Travel and Isochrone: An Exploratory Study of Shanghai, China DOI
Ping Zhang, Mingzhi Zhou, Jiangping Zhou

et al.

Transportation Research Record Journal of the Transportation Research Board, Journal Year: 2024, Volume and Issue: unknown

Published: June 14, 2024

Job accessibility measures the ease of accessing potential job opportunities from a given locale, such as traffic analysis zone (TAZ). In principle, improved locale should lead to better employment outcomes for seekers residing there. However, extent which residents can secure jobs within its isochrone by specific mode travel has rarely been investigated in existing scholarship. this article, we define “accessible jobs” all an mode, and “secured subset these accessible that are actually obtained locale. Using high-resolution location-based service data set, calculate secured different TAZs 15-, 30-, 45-min isochrones transit or automobile Shanghai, China. We investigate (a) spatial patterns jobs, (b) besides what predict controlling time travel. find vary across TAZs, travel, but often spatially autocorrelated at TAZ level. The always positively related regardless time. This relationship is more salient those workers transit. could be predicted few TAZ- isochrone-level indicators concerning land use, transport, socioeconomic attributes. Our findings indicate considered tandem with time, both transport-land use attributes levels accounted when planning jobs.

Language: Английский

Rethinking bus ridership dynamics: Examining nonlinear effects of determinants on bus ridership changes using city-level panel data from 2010 to 2019 DOI
Chengcheng Yu, Wentao Dong, Yunhao Liu

et al.

Transport Policy, Journal Year: 2024, Volume and Issue: 151, P. 85 - 100

Published: April 17, 2024

Language: Английский

Citations

13

Systematic literature review on impacts of COVID-19 pandemic and corresponding measures on mobility DOI Creative Commons
Kwang-Sub Lee,

Jin Ki Eom

Transportation, Journal Year: 2023, Volume and Issue: 51(5), P. 1907 - 1961

Published: April 25, 2023

The unprecedented COVID-19 outbreak has significantly influenced our daily life, and COVID-19's spread is inevitably associated with human mobility. Given the pandemic's severity extent of spread, a timely comprehensive synthesis current state research needed to understand impact on mobility corresponding government measures. This study examined relevant literature published present (March 2023), identified trends, conducted systematic review evidence regarding transport's response COVID-19. We key agendas synthesized results, examining: (1) changes by transport modes analyzed regardless policy implementation, using empirical data survey data; (2) effect diverse interventions reduce limit controversial issues travel restriction effects; (3) future issues. findings showed strong relationship between pandemic mobility, significant impacts decreased overall remarkable drop in transit ridership, behavior, improved traffic safety. Government implemented various non-pharmaceutical countermeasures, such as city lockdowns, restrictions, social distancing. Many studies were effective. However, some researchers reported inconsistent outcomes. provides urban planners valuable insights facilitate better preparation for health emergencies that affect transportation.

Language: Английский

Citations

22

Social and spatial heterogeneities in COVID-19 impacts on individual's metro use: A big-data driven causality inference DOI Open Access
Chengcheng Liu, Wenjia Zhang

Applied Geography, Journal Year: 2023, Volume and Issue: 155, P. 102947 - 102947

Published: April 4, 2023

Language: Английский

Citations

15

The 2-month lockdown and commuting behavior transformation in Shanghai: A phone signal data-based analysis DOI
Weiye Xiao, Han Li, Feng Yuan

et al.

Transport Policy, Journal Year: 2024, Volume and Issue: 150, P. 149 - 161

Published: March 21, 2024

Language: Английский

Citations

5

The impacts of weather conditions on metro ridership: An empirical study from three mega cities in China DOI
Shixiong Jiang,

Canhuang Cai

Travel Behaviour and Society, Journal Year: 2022, Volume and Issue: 31, P. 166 - 177

Published: Dec. 14, 2022

Language: Английский

Citations

21

A multiple mediation analysis to untangle the impacts of COVID-19 on nationwide bus ridership in the United States DOI Open Access
Abubakr Ziedan, Luiz Renato Lima, Candace Brakewood

et al.

Transportation Research Part A Policy and Practice, Journal Year: 2023, Volume and Issue: 173, P. 103718 - 103718

Published: May 18, 2023

Language: Английский

Citations

11

How temporary disruption of metro service influence metro commuters’ mode shifts during the COVID-19 pandemic? Evidence from Tianjin, China DOI
Xinwei Ma,

Shaofan Sun,

Lin Li

et al.

Travel Behaviour and Society, Journal Year: 2024, Volume and Issue: 36, P. 100773 - 100773

Published: Feb. 23, 2024

Language: Английский

Citations

4

Changes in the predictors of transit ridership in post-COVID-19 US metropolitan areas DOI
Seyed Sajjad Abdollahpour, Huyen Le, Steve Hankey

et al.

Travel Behaviour and Society, Journal Year: 2025, Volume and Issue: 40, P. 101002 - 101002

Published: Feb. 18, 2025

Language: Английский

Citations

0

Understanding tourism travel behavior by combining revealed preference survey and mobile phone data DOI Creative Commons
Yi‐Gang Li, Enjian Yao, Yang Yang

et al.

Transportation Research Part A Policy and Practice, Journal Year: 2025, Volume and Issue: 194, P. 104408 - 104408

Published: Feb. 27, 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