Improving the accessibility of urban transportation networks for people with disabilities |
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| Affiliation: | 1. Dipartimento di Scienze e Metodi dell’Ingegneria (DISMI), University of Modena and Reggio Emilia, Italy;2. Smarter Cities Technology Centre, IBM Research - Ireland, IBM Technology Campus, Dublin 15, Ireland;3. Geography Department, King’s College London, London;4. Centre for Advanced Spatial Analysis, University College of London, London;1. Department of Mechanical Engineering, University of Minnesota, 111 Church Street SE, Minneapolis, MN 55455, United States;2. Department of Civil Engineering, University of Minnesota, 500 Pillsbury Drive SE, Minneapolis, MN 55455, United States;1. Transportation Research Institute (IMOB), Hasselt University, Wetenschapspark 5 bus 6, B-3590 Diepenbeek, Belgium;2. Hasselt University, Research Group Logistics, Agoralaan building D, B-3590 Diepenbeek, Belgium;3. Research Foundation Flanders (FWO), Egmontstraat 5, B-1000 Brussels, Belgium;1. Design School, Loughborough University, Loughborough LE11 3TU, UK;2. Integrated Transport Planning Ltd, 32a Stoney Street, Nottingham NG1 1LL, UK;1. Department of Technology and Society, Faculty of Engineering, Lund University, Sweden;2. FACTUM OG, Vienna, Austria;3. Department of Health Sciences, Faculty of Medicine, Lund University, Sweden;4. Department of Neurology and Rehabilitation Medicine, Skåne University Hospital, Lund, Sweden;1. University of Montreal Hospital Research Centre (CRCHUM), CHUM - Pavilion S 850, St-Denis St., Office S02.336, Montreal, Quebec H2X 0A9, Canada;2. Department of Social and Preventive Medicine, École de Santé Publique de l’Université de Montréal (ESPUM), 7101, rue du Parc, Montréal, H3N 1X9, Canada;3. University of Montreal Hospital Research Centre (CRCHUM), CHUM - Pavilion S 850, St-Denis St., Office S02.502, Montreal, Quebec H2X 0A9, Canada;4. Civil, Environmental, and Geo-Engineering, University of Minnesota, 500 Pillsbury Drive S.E., Minneapolis, MN 55455, USA;5. School of Civil Engineering, University of Sydney, Sydney, NSW 2006, Australia;1. Ingolstadt University of Applied Sciences, Ingolstadt, Germany;2. Niederrhein University of Applied Sciences, Krefeld, Germany;3. Rhine-Waal University of Applied Sciences, Kamp-Lintfort, Germany |
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| Abstract: | ![]()
What is the most effective way to enhance the accessibility of our oldest and largest public transportation systems for people with reduced mobility? The intersection of limits to government support with the growing mobility needs of the elderly and of people with disabilities calls for the development of tools that enable us to better prioritise investment in those areas that would deliver the greatest benefits to travellers. In principle and, to a lesser extent, in practice, many trains and buses are already accessible to nearly all users, leaving the stations and interchanges as the single largest and most expensive challenge facing operators trying to improve overall access to the network.Focussing on travel time and interchange differences, we present a method that uses network science and spatio-temporal analysis to rank stations in a way that minimises the divergence between accessible and non-accessible routes. Taking London as case study, we show that 50% of the most frequently followed journeys become 50% longer when wheelchair accessibility becomes a constraint. Prioritising accessibility upgrades using our network approach yields a total travel time that is more than 8 times better than a solution based on random choice, and 30% more effective than a solution that seeks solely to minimise the number of interchanges facing those with mobility constraints. These results highlight the potential for the analysis of ‘smart card’ data to enable network operators to obtain maximum value from their infrastructure investments in support of expanded access to all users. |
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| Keywords: | Accessibility Inclusive transport Multimodal transport |
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