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Increasing Bicycle Usage in Smart Cities

Published: 12 December 2016 Publication History

Abstract

The emergence and market uptake of technologies for mobile and ubiquitous computing is opening a window of opportunities for innovative applications that promote cycling and walking in new forms. These technologies allow affordable and accessible ways of tracking the walking and cycling of individuals which, when combined with new community-centric applications, promise to unleash the behavior-change potential to unprecedented levels.
A particular synergy is between local businesses, who are interested in segmenting their customer base to attract new clients who arrive by bicycle or on foot; and potential customers, interested in obtaining discounts. Likewise, cities and governments are interested in attributing benefits to people choosing to cycle or walk. However, achieving so requires applications that are able to trace individual mobility choices, at the same time respecting both technical and social requirements.
This paper sheds some new light on the delicate balance between the the social and technical requirements that determine the actual outcome of behavior change towards more sustainable mobility in smart cities. We focus on a particular application, called Cycle-to-Shop, which is under development in the context of the TRACE H2020 project.

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  • (2021)detectBiklioProceedings of the 36th Annual ACM Symposium on Applied Computing10.1145/3412841.3441965(900-907)Online publication date: 22-Mar-2021

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cover image ACM Conferences
SmartCities '16: Proceedings of the 2nd International Workshop on Smart
December 2016
55 pages
ISBN:9781450346672
DOI:10.1145/3009912
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 the author(s) 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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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 12 December 2016

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Author Tags

  1. Smart cities
  2. behavior change
  3. mobile sensing
  4. tracking
  5. urban planning

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  • Refereed limited

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Middleware '16
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  • USENIX Assoc

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  • (2021)detectBiklioProceedings of the 36th Annual ACM Symposium on Applied Computing10.1145/3412841.3441965(900-907)Online publication date: 22-Mar-2021

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