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On the Need of Trustworthy Sensing and Crowdsourcing for Urban Accessibility in Smart City

Published:26 October 2017Publication History
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Abstract

Mobility in urban environments is an undisputed key factor that can affect citizens’ well-being and quality of life. This is particularly relevant for those people with disabilities or with reduced mobility who have to face the presence of barriers in urban areas. In this scenario, the availability of information about such architectural elements (together with facilities) can greatly support citizens’ mobility by enhancing their independence and their abilities in conducting daily outdoor activities. With this in mind, we have designed and developed mobile Pervasive Accessibility Social Sensing (mPASS), a system that provides users with personalized paths, computed on the basis of their own preferences and needs, with a customizable and accessible interface. The system collects data from crowdsourcing and crowdsensing to map urban and architectural accessibility by providing reliable information coming from different data sources with different levels of trustworthiness. In this context, reliability can be ensured by properly managing crowdsourced and crowdsensed data, combined when possible with authoritative datasets, provided by disability rights organizations and local authorities. To demonstrate this claim, in this article we present our trustworthiness model and discuss results we have obtained by simulations.

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      • Published in

        cover image ACM Transactions on Internet Technology
        ACM Transactions on Internet Technology  Volume 18, Issue 1
        Special Issue on Connected Communities
        February 2018
        250 pages
        ISSN:1533-5399
        EISSN:1557-6051
        DOI:10.1145/3155100
        • Editor:
        • Munindar P. Singh
        Issue’s Table of Contents

        Copyright © 2017 ACM

        Publisher

        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 26 October 2017
        • Accepted: 1 July 2017
        • Revised: 1 June 2017
        • Received: 1 April 2016
        Published in toit Volume 18, Issue 1

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