Examining the associations between perceived built environment and active travel, before and after the COVID-19 outbreak in Shiraz city, Iran

Shaer, Amin; Rezaei, Meysam; Rahimi, Behnam Moghani; Shaer, Fatemeh

doi:10.1016/j.cities.2021.103255

Cited by 54 publications

(29 citation statements)

References 55 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…First, an overwhelming theme is the understanding of spatiotemporal changing patterns of bike-share usages before and after the public crisis. COVID-19 related lockdown policies have resulted in two major transformations regarding spatiotemporal patterns: origin–destination flow structures and trip purposes [34] , [35] . COVID-19 related policies have uneven impacts upon the landscape of bike-share usage: areas surrounding public transit nodes such as railway stations witnessed a much higher decrease in bike-share usage than other regions such as parks and residential blocks [36] .…”

Section: Literature Reviewmentioning

confidence: 99%

Spatiotemporal evolving patterns of bike-share mobility networks and their associations with land-use conditions before and after the COVID-19 outbreak

Song

Zhang

Qin

et al. 2022

Physica A: Statistical Mechanics and its Applications

View full text Add to dashboard Cite

Recent months have seen ever-increasing levels of confirmed COVID-19 cases despite the accelerated adoption of vaccines. In the wake of the pandemic, travel patterns of individuals change as well. Understanding the changes in biking behaviors during evolving COVID-19 situations is a primary goal of this paper. It investigated usage patterns of the bike-share system in Singapore before, during, and after local authorities imposed lockdown measures. It also correlated the centrality attributes of biking mobility networks of different timestamps with land-use conditions. The results show that total ridership surprisingly climbed by 150% during the lockdown, up from 63,370 trips before the outbreak. Biking mobility graphs became more locally clustered and polycentric as the epidemic develop. There existed a positive and sustained spatial autocorrelation between centrality measures and regions with high residential densities or levels of the land-use mixture. This study suggests that bike-share systems may serve as an alternative mode to fulfill mobility needs when public transit services are restricted due to lockdown policies. Shared-micromobility services have the potential to facilitate a disease-resilient transport system as societies may have to coexist with COVID in the future.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Spatiotemporal evolving patterns of bike-share mobility networks and their associations with land-use conditions before and after the COVID-19 outbreak

Song

Zhang

Qin

et al. 2022

Physica A: Statistical Mechanics and its Applications

View full text Add to dashboard Cite

show abstract

“…Based on a survey in Germany, Eisenmann et al (2021) found that transit passengers declined by nearly half, while private cars became more important during the lockdown period. We have also seen a boom in bike and e-bike sales globally and a significant increase of bicyclists and pedestrians on the streets and trails in many countries during the pandemic lockdown ( Doubleday et al, 2021 , Frumkin, 2021 , Habib and Anik, 2021 , Shaer et al, 2021 , Zhang and Fricker, 2021 ).…”

Section: Literature Reviewmentioning

confidence: 99%

The impact of perceived racism on walking behavior during the COVID-19 lockdown

Liu²,

Cao³

et al. 2022

Transportation Research Part D: Transport and Environment

View full text Add to dashboard Cite

“…( 2021 ), Shaer et al. ( 2021 ) Israel Elias and Zatmeh-Kanj ( 2021 ) UK Li et al. ( 2021a ) Australia Mendolia et al.…”

Section: Review Of the Literaturementioning

confidence: 99%

Data analytics during pandemics: a transportation and location planning perspective

2022

View full text Add to dashboard Cite

The recent COVID-19 pandemic once again showed the value of harnessing reliable and timely data in fighting the disease. Obtained from multiple sources via different collection streams, an immense amount of data is processed to understand and predict the future state of the disease. Apart from predicting the spatio–temporal dynamics, it is used to foresee the changes in human mobility patterns and travel behaviors and understand the mobility and spread speed relationship. During this period, data-driven analytic approaches and Operations Research tools are widely used by scholars to prescribe emerging transportation and location planning problems to guide policy-makers in making effective decisions. In this study, we provide a review of studies which tackle transportation and location problems during the COVID-19 pandemic with a focus on data analytics. We discuss the major data collecting streams utilized during the pandemic era, highlight the importance of rapid and reliable data sharing, and give an overview of the challenges and limitations on the use of data.

show abstract

Examining the associations between perceived built environment and active travel, before and after the COVID-19 outbreak in Shiraz city, Iran

Cited by 54 publications

References 55 publications

Spatiotemporal evolving patterns of bike-share mobility networks and their associations with land-use conditions before and after the COVID-19 outbreak

Spatiotemporal evolving patterns of bike-share mobility networks and their associations with land-use conditions before and after the COVID-19 outbreak

The impact of perceived racism on walking behavior during the COVID-19 lockdown

Data analytics during pandemics: a transportation and location planning perspective

Contact Info

Product

Resources

About