Crowdsourcing-based mobile application for wheelchair accessibility

Liu, Zhan (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis)) ; Balet, Nicole Glassey (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis)) ; Sokhn, Maria (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis)) ; De Gaspari, Eline (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis))

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.


Mots-clés:
Type de conférence:
full paper
Ecole:
HEG VS HES-SO Valais-Wallis - Haute Ecole de Gestion & Tourisme
Institut:
Institut Informatique de gestion
Classification:
Informatique
Adresse bibliogr.:
San Diego, USA, 27 February - 03 March 2017
Date:
San Diego, USA
27 February - 03 March 2017
2017
Pagination:
15 p.
Titre du document hôte:
Proceedings of the 32nd Annual International Technology and Persons with Disabilities Conference Scientific/Research
ISSN:
2330-4219
Ressource(s) externe(s):
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 Notice créée le 2017-11-11, modifiée le 2017-11-16

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