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dc.contributor.author Liu, Zhan en
dc.contributor.author Balet, Nicole Glassey en
dc.contributor.author Sokhn, Maria en
dc.contributor.author De Gaspari, Eline en
dc.date.accessioned 2017-04-26T18:56:37Z en
dc.date.available 2017-04-26T18:56:37Z en
dc.date.issued 2017 en
dc.identifier.citation Journal on Technology and Persons with Disabilities 5: 1-15. en
dc.identifier.issn 2330-4219 en
dc.identifier.uri http://hdl.handle.net/10211.3/190198 en
dc.description 32nd Annual International Technology and Persons with Disabilities Conference Scientific/Research Proceedings, San Diego, 2017 en
dc.description.abstract Creating an optimal travel plan is not an easy task, particularly for people with mobility disabilities, for whom even simple trips, such as eating out in a restaurant, can be extremely difficult. Many of their travel plans need to be made days or even months in advance, including the route and time of day to travel. These plans must take into account ways in which to navigate the area, as well as the most suitable means of transportation. In response to these challenges, this study was designed to develop a solution that used linked data technologies in the domains of tourism services and e-governance to build a smart city application for wheelchair accessibility. This smart phone application provides useful travel information to enable those with mobility disabilities to travel more easily. en
dc.format application/pdf en
dc.format.extent 15 pages en
dc.language.iso en en
dc.publisher California State University, Northridge. en
dc.rights Copyright 2017 by the authors and California State University, Northridge en
dc.subject Linked data en
dc.subject Crowdsourcing en
dc.subject Wheelchair accessibility en
dc.subject Mobility disabilities en
dc.subject Semantic web en
dc.subject Mobile application en
dc.title Crowdsourcing-based Mobile Application for Wheelchair Accessibility en
dc.type Article en
dc.rights.license Creative Commons Attribution-NoDerivs 4.0 Unported License. en


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