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.

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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.

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