dedup_wf_001--a05188ca23eedd1130290129835758ec

Recent research in city planning has measured “walkability” and multi-modalism through quantification of the built environment. Results have shown correlations with increased property values and neighbourhood stabilisation as well as a lack of spatial distribution of accessible resources based on socio-economic class. Some studies suggest that improvements in these measures can be made, particularly with regard to commute mode diversity. This study tests and scrutinises the association between a walkability index and multimodal travel behaviour – controlling for both built environment and socio-demographic attributes of agents in investigating stated non-vehicular transportation modes. It finds that walkability indexes are connected to multimodal behaviours broadly; whether it be those who walking, bicycling, and or taking transit. It also finds that distance is a significantly associated with transit behaviour in walkable neighbourhoods, but the probability of walking or cycling is tied more to the built environment factors, age, household income and size. These results suggest that cities might benefit from policy efforts that not only continue to address issues of spatial equity but that they might consider policies that promote income mobility to encourage sustainable travel.

Tags
Data and Resources
To access the resources you must log in

This item has no data

Identity

Description: The Identity category includes attributes that support the identification of the resource.

Field Value
PID https://www.doi.org/10.6084/m9.figshare.11370057.v1
PID https://www.doi.org/10.6084/m9.figshare.11370057
PID https://www.doi.org/10.1080/13549839.2019.1698529
URL https://academic.microsoft.com/#/detail/2995890677
URL https://www.tandfonline.com/doi/full/10.1080/13549839.2019.1698529
URL http://dx.doi.org/10.6084/m9.figshare.11370057.v1
URL http://dx.doi.org/10.6084/m9.figshare.11370057
URL http://dx.doi.org/10.1080/13549839.2019.1698529
URL https://www.tandfonline.com/doi/pdf/10.1080/13549839.2019.1698529
Access Modality

Description: The Access Modality category includes attributes that report the modality of exploitation of the resource.

Field Value
Access Right Open Access
Attribution

Description: Authorships and contributors

Field Value
Author William Riggs, 0000-0001-8562-5998
Author Suresh Andrew Sethi, 0000-0002-0053-1827
Publishing

Description: Attributes about the publishing venue (e.g. journal) and deposit location (e.g. repository)

Field Value
Collected From ORCID; figshare; Datacite; Crossref; Microsoft Academic Graph
Hosted By figshare; Local Environment
Publication Date 2019-12-15
Additional Info
Field Value
Language UNKNOWN
Resource Type Other literature type; Article
keyword FOS: Mathematics
keyword FOS: Health sciences
keyword keywords.Geography, Planning and Development
keyword keywords.Management, Monitoring, Policy and Law
keyword FOS: Sociology
keyword FOS: Biological sciences
keyword FOS: Earth and related environmental sciences
system:type publication
Management Info
Field Value
Source https://science-innovation-policy.openaire.eu/search/publication?articleId=dedup_wf_001::a05188ca23eedd1130290129835758ec
Author jsonws_user
Last Updated 27 December 2020, 03:06 (CET)
Created 27 December 2020, 03:06 (CET)