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The Use Of "Big Data" To Evaluate Accessibility Measures For Wheelchair And Mobility Scooter Users: The Case Of London Bus Network

Barbareschi, G; Bantis, T; Twigg, J; Tyler, N; Holloway, C; (2015) The Use Of "Big Data" To Evaluate Accessibility Measures For Wheelchair And Mobility Scooter Users: The Case Of London Bus Network. In: (Proceedings) TRANSED 2015: 14th International Conference on Mobility and Transport for Elderly and Disabled Persons, 28-31 July 2015, Lisbon, Portugal. Green open access

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THE USE OF BIG DATASETS TO EVALUATE ACCESSIBILITY MEASURES FOR WHEELCHAIR AND MOBILITY SCOOTER USERS THE CASE OF THE LONDON BUS NETWORK.pdf
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Abstract

As recognized by the Social Exclusion Unit poor transport access can contribute to the causes of social exclusion. People who require the use of a powered wheelchair or a mobility scooter in order to be able to carry out their daily activities are most likely to experience transport disadvantage, primarily due to architectural barriers present within the network that limit accessibility. Formulation of new policies is of primary importance to increase the transport network accessibility. Policy-making and evaluation are often based mainly on qualitative approaches. Although this can give a good appreciation of the users prospective, it fails to consider the more global impact that new and existing policies can have. The use of big datasets from automated fare collection systems could improve this aspect, allowing for a more quantitative approach to measuring accessibility measures. Furthermore these datasets could benefit from a more disaggregated classification to help categorise travel patterns and behaviour specific to wheelchairs and mobility scooter users.

Type: Proceedings paper
Title: The Use Of "Big Data" To Evaluate Accessibility Measures For Wheelchair And Mobility Scooter Users: The Case Of London Bus Network
Event: TRANSED 2015: 14th International Conference on Mobility and Transport for Elderly and Disabled Persons, 28-31 July 2015, Lisbon, Portugal
Location: Lisbon, Portugal
Dates: 28 July 2015 - 31 July 2015
Open access status: An open access version is available from UCL Discovery
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.
Keywords: bus network, social exclusion, powered mobility users, automated fare collection systems, large datasets
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
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/1469573
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