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Assessing transport related social exclusion using a capabilities approach to accessibility framework: A dynamic Bayesian network approach

Bantis, T; Haworth, J; (2020) Assessing transport related social exclusion using a capabilities approach to accessibility framework: A dynamic Bayesian network approach. Journal of Transport Geography , 84 , Article 102673. 10.1016/j.jtrangeo.2020.102673. Green open access

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Abstract

Accessibility is considered to be a valuable concept that can be used to generate insights on issues related to social exclusion due to limited access to transport options. Recently, researchers have attempted to link accessibility with popular theories of social justice such as Amartya Sen's Capabilities Approach (CA). Such studies have set the theoretical foundations on the way accessibility can be expressed through the CA, however, attempts to operationalise this approach remain fragmented and predominantly qualitative in nature. In this study, a novel framework of expressing accessibility at the level of an individual is proposed, based on the basic elements of the CA. In particular, dynamic Bayesian networks are used to express the causal relationship between capabilities, functionings, personal and environmental characteristics. This is done by introducing informative Dirichlet prior distributions constructed using data from traditional mobility surveys, modelling the transition probabilities with data related to place based characteristics and defining an observation model from unlabelled mobility data and places of interest (POI). We demonstrate the usefulness of the proposed framework by assessing the equality levels and their link to transport related social exclusion of different population groups in London, using unlabelled, service provider generated mobility data.

Type: Article
Title: Assessing transport related social exclusion using a capabilities approach to accessibility framework: A dynamic Bayesian network approach
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.jtrangeo.2020.102673
Publisher version: http://dx.doi.org/10.1016/10.1016/j.jtrangeo.2020....
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Civil, Environ and Geomatic Eng
URI: https://discovery.ucl.ac.uk/id/eprint/10105773
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