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Sustainability 2015, 7(11), 14935-14963; doi:10.3390/su71114935

A Computational Method based on Radio Frequency Technologies for the Analysis of Accessibility of Disabled People in Sustainable Cities

1
Specialized Processors Architecture Laboratory, Department of Computer Technology and Computation, University of Alicante, San Vicente del Raspeig, Alicante 03690, Spain
2
Department of Building Science and Urbanism, University of Alicante, San Vicente del Raspeig, Alicante 03690, Spain
*
Author to whom correspondence should be addressed.
Academic Editors: Peter Newman and Tan Yigitcanlar
Received: 23 October 2015 / Revised: 29 October 2015 / Accepted: 3 November 2015 / Published: 10 November 2015
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Abstract

The sustainability strategy in urban spaces arises from reflecting on how to achieve a more habitable city and is materialized in a series of sustainable transformations aimed at humanizing different environments so that they can be used and enjoyed by everyone without exception and regardless of their ability. Modern communication technologies allow new opportunities to analyze efficiency in the use of urban spaces from several points of view: adequacy of facilities, usability, and social integration capabilities. The research presented in this paper proposes a method to perform an analysis of movement accessibility in sustainable cities based on radio frequency technologies and the ubiquitous computing possibilities of the new Internet of Things paradigm. The proposal can be deployed in both indoor and outdoor environments to check specific locations of a city. Finally, a case study in a controlled context has been simulated to validate the proposal as a pre-deployment step in urban environments. View Full-Text
Keywords: sustainable cities; accessibility; technology-aided urban planning; smart sensors; computation architecture sustainable cities; accessibility; technology-aided urban planning; smart sensors; computation architecture
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Gilart-Iglesias, V.; Mora, H.; Pérez-delHoyo, R.; García-Mayor, C. A Computational Method based on Radio Frequency Technologies for the Analysis of Accessibility of Disabled People in Sustainable Cities. Sustainability 2015, 7, 14935-14963.

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