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

Published: 26 October 2017 Publication History

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
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 26 October 2017
Accepted: 01 July 2017
Revised: 01 June 2017
Received: 01 April 2016
Published in TOIT Volume 18, Issue 1

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Author Tags

  1. Credibility
  2. Crowdsensing
  3. Crowdsourcing
  4. Trustworthiness
  5. Urban Accessibility

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