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Monitoring movement in the smart city : opportunities and challenges of measuring urban bustle

Nils Walravens, Brecht Van de Vyvere (UGent) , Mathias Van Compernolle (UGent) , Eveline Vlassenroot (UGent) and Pieter Colpaert (UGent)
(2020) ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences. VI-4/W2-2020. p.181-188
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Abstract
One of the promises of the smart city concept is using real-time data to enhance policy making. In practice, such promises can turn out to be either very limited in what is actually possible or quickly trigger dystopian scenarios of tracking and monitoring. Today, many cities around the world already measure forms of urban bustle, i.e. how busy it is during specific periods of time. They do this for all kinds of purposes like optimising mobility flows, attracting tourism, monitoring safety during events or stimulating the local economy, and they employ divergent technologies: from analogue counting, over surveys, to more advanced near real-time tracking using mobile operator data. This fragmentation of approaches to measuring urban bustle creates some challenges for cities related to privacy, vendor lock-in, comparability of data, data quality and accuracy, historical and predictive analysis of data and so on. To tackle these challenges and formulate a standardised approach to measuring urban bustle, the thirteen largest cities in Flanders (Belgium), together with local technology vendors, co-created a “definition manual”; a document outlining indicators and relevant technologies for measuring urban bustle, as well as shared profile descriptions of residents and visitors of the city. This paper outlines the process and presents the results, an agreed-upon framework of standard profiles and indicators, which are useful to academics, public servants and technology companies involved in this topic.
Keywords
Open Data, Semantic Sensor Network, Smart Cities, Urban Bustle

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MLA
Walravens, Nils, et al. “Monitoring Movement in the Smart City : Opportunities and Challenges of Measuring Urban Bustle.” ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. VI-4/W2-2020, 2020, pp. 181–88, doi:10.5194/isprs-annals-vi-4-w2-2020-181-2020.
APA
Walravens, N., Van de Vyvere, B., Van Compernolle, M., Vlassenroot, E., & Colpaert, P. (2020). Monitoring movement in the smart city : opportunities and challenges of measuring urban bustle. ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, VI-4/W2-2020, 181–188. https://doi.org/10.5194/isprs-annals-vi-4-w2-2020-181-2020
Chicago author-date
Walravens, Nils, Brecht Van de Vyvere, Mathias Van Compernolle, Eveline Vlassenroot, and Pieter Colpaert. 2020. “Monitoring Movement in the Smart City : Opportunities and Challenges of Measuring Urban Bustle.” In ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, VI-4/W2-2020:181–88. https://doi.org/10.5194/isprs-annals-vi-4-w2-2020-181-2020.
Chicago author-date (all authors)
Walravens, Nils, Brecht Van de Vyvere, Mathias Van Compernolle, Eveline Vlassenroot, and Pieter Colpaert. 2020. “Monitoring Movement in the Smart City : Opportunities and Challenges of Measuring Urban Bustle.” In ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, VI-4/W2-2020:181–188. doi:10.5194/isprs-annals-vi-4-w2-2020-181-2020.
Vancouver
1.
Walravens N, Van de Vyvere B, Van Compernolle M, Vlassenroot E, Colpaert P. Monitoring movement in the smart city : opportunities and challenges of measuring urban bustle. In: ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences. 2020. p. 181–8.
IEEE
[1]
N. Walravens, B. Van de Vyvere, M. Van Compernolle, E. Vlassenroot, and P. Colpaert, “Monitoring movement in the smart city : opportunities and challenges of measuring urban bustle,” in ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, Nice, France, 2020, vol. VI-4/W2-2020, pp. 181–188.
@inproceedings{8676971,
  abstract     = {{One of the promises of the smart city concept is using real-time data to enhance policy making. In practice, such promises can turn out to be either very limited in what is actually possible or quickly trigger dystopian scenarios of tracking and monitoring. Today, many cities around the world already measure forms of urban bustle, i.e. how busy it is during specific periods of time. They do this for all kinds of purposes like optimising mobility flows, attracting tourism, monitoring safety during events or stimulating the local economy, and they employ divergent technologies: from analogue counting, over surveys, to more advanced near real-time tracking using mobile operator data. This fragmentation of approaches to measuring urban bustle creates some challenges for cities related to privacy, vendor lock-in, comparability of data, data quality and accuracy, historical and predictive analysis of data and so on. To tackle these challenges and formulate a standardised approach to measuring urban bustle, the thirteen largest cities in Flanders (Belgium), together with local technology vendors, co-created a “definition manual”; a document outlining indicators and relevant technologies for measuring urban bustle, as well as shared profile descriptions of residents and visitors of the city. This paper outlines the process and presents the results, an agreed-upon framework of standard profiles and indicators, which are useful to academics, public servants and technology companies involved in this topic.}},
  author       = {{Walravens, Nils and Van de Vyvere, Brecht and Van Compernolle, Mathias and Vlassenroot, Eveline and Colpaert, Pieter}},
  booktitle    = {{ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences}},
  issn         = {{2194-9042}},
  keywords     = {{Open Data,Semantic Sensor Network,Smart Cities,Urban Bustle}},
  language     = {{eng}},
  location     = {{Nice, France}},
  pages        = {{181--188}},
  title        = {{Monitoring movement in the smart city : opportunities and challenges of measuring urban bustle}},
  url          = {{http://dx.doi.org/10.5194/isprs-annals-vi-4-w2-2020-181-2020}},
  volume       = {{VI-4/W2-2020}},
  year         = {{2020}},
}
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