Modeling regional disparity and the reverse commute

Davidson, Joshua; Ryerson, Megan S.

doi:10.1016/j.tra.2021.06.005

Cited by 5 publications

(2 citation statements)

References 39 publications

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“…Cats and Ferranti (2022) found that in Stockholm there were clusters of different travel behaviour types who use the network and travel to different areas in different ways, complementing our findings. Furthermore, 'reverse commutes' are most difficult to cater for in terms of public transport provision (see Davidson and Ryerson 2021), suggesting that those with lower incomes and with more dispersed commuter flows may have most difficulty commuting sustainably in the Stockholm region, although this is not the case in all contexts (ibid. ).…”

Section: Discussionmentioning

confidence: 99%

Accessibility and space-time differences in when and how sustainably different groups (choose to) travel

Ryan¹,

Pereira²,

Andersson³

2022

Preprint

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A fair distribution of accessibility to key activities is a central concern for distributive justice in transport planning. This implies that disparities in accessibility and the negative effects associated with a lack of accessibility should be mitigated. However, even though accessibility is not purely spatial or static, it is conventionally treated as if it were. Severals studies have significantly advanced the spatio-temporal representation of accessibility. However, there is still a lack of focus on how these dynamics affect different groups of people with differing socio-economic and demographic characteristics and how they might influence their travel mode choice. The aim of this paper is to analyse the differences in the distribution of accessibility to the workplace by public transport combined with walking during multiple departure time periods. This study draws on the spatio-temporal aspects of people’s real activities based on travel survey data for the Stockholm region. With this study, we contribute to the body of literature by (1) highlighting the differences in accessibility to the workplace by public transport across multiple departure time periods; (2) showing how these results compare with modal choice; and (3) revealing which socio-economic, demographic and geographical factors characterise these differences. This study is conducted from a transport justice-focused time geography perspective. This approach shows how this perspective could help researchers have a more detailed and nuanced understanding of the relationship between accessibility and sustainable travel behaviour, and how this relationship might change at different times of the day.

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Section: Discussionmentioning

confidence: 99%

Accessibility and space-time differences in when and how sustainably different groups (choose to) travel

Ryan¹,

Pereira²,

Andersson³

2022

Preprint

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“…This distribution is mediated by the local institutional architecture, which is supposed to achieve equality in social opportunities (2021). In the Western context, there existed more and more studies on the socio-spatial segregation or exclusion across urban communities and/or groups, with the assistance of mobility big data (Davidson & Ryerson, 2021;Trasberg & Cheshire, 2021;Xu et al, 2018). Age (Kandt & Leak, 2019), ethnicity (Jarv et al, 2015Zhai et al, 2021), gender (Bocker et al, 2020;Ooi et al, 2021), disability (Grisé et al, 2019), and access to innovative transport modes (Lovelace et al, 2020; are widely discussed research focuses.…”

Section: Revisiting Spatial and Mobility Elements Of Social Dimensionsmentioning

confidence: 99%

Revealing social dimensions of urban mobility with big data: A timely dialogue

Wu,

Zhou

2023

JTLU

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Considered a total social phenomenon, mobility is at the center of intricate social dynamics in cities and serves as a reading lens to understand the whole society. With the advent of big data, the potential for using mobility as a key social analyzer was unleashed in the past decade. The purpose of this research is to systematically review the evolution of big data's role in revealing social dimensions of urban mobility and discuss how they have contributed to various research domains from early 2010s to now. Six major research topics are detected from the selected online academic corpuses by conducting keywords-driven topic modeling techniques, reflecting diverse research interests in networked mobilities, human dynamics in spaces, event modeling, spatial underpinnings, travel behaviors and mobility patterns, and sociodemographic heterogeneity. The six topics reveal a comprehensive, research-interests, evolution pattern, and present current trends on using big data to uncover social dimensions of human mobility activities. Given these observations, we contend that big data has two contributions to revealing social dimensions of urban mobility: as an efficiency advancement and as an equity lens. Furthermore, the possible limitations and potential opportunities of big data applications in the existing scholarship are discussed. The review is intended to serve as a timely retrospective of societal-focused mobility studies, as well as a starting point for various stakeholders to collectively contribute to a desirable future in terms of mobility.

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Examining the varying influences of built environment on bike-sharing commuting: Empirical evidence from Shanghai

Li²,

Hua³

et al. 2022

Transport Policy

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Modeling regional disparity and the reverse commute

Cited by 5 publications

References 39 publications

Accessibility and space-time differences in when and how sustainably different groups (choose to) travel

Accessibility and space-time differences in when and how sustainably different groups (choose to) travel

Revealing social dimensions of urban mobility with big data: A timely dialogue

Examining the varying influences of built environment on bike-sharing commuting: Empirical evidence from Shanghai

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