Municipal Benefits of Participatory Urban Sensing: A Simulation Approach and Case Validation

Involving citizens in public affairs through the use of participatory sensing applications is an emerging theme in Pervasive Computing and mobile E-Government (M-Government). Prior work, however, suggests that local governments place more emphasis on internal than on external M-Government projects....

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Autores principales: Winkler,Till J., Ziekow,Holger, Weinberg,Martin
Lenguaje:English
Publicado: Universidad de Talca 2012
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Acceso en línea:http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-18762012000300010
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spelling oai:scielo:S0718-187620120003000102018-10-12Municipal Benefits of Participatory Urban Sensing: A Simulation Approach and Case ValidationWinkler,Till J.Ziekow,HolgerWeinberg,Martin Urban sensing Mobile government Mobile reporting Simulation model System dynamics Action design research Cost benefit analysis Involving citizens in public affairs through the use of participatory sensing applications is an emerging theme in Pervasive Computing and mobile E-Government (M-Government). Prior work, however, suggests that local governments place more emphasis on internal than on external M-Government projects. This paper takes an action design research perspective to provide insight into the often overlooked potential of citizen-centric, external M-Government services. We consider the scenario of a sensing application for reporting urban infrastructure issues to the municipality and present a System Dynamics model to estimate the diffusion, use, and municipal impacts of such service. The model is validated based on the case of a large German city, a dedicated survey, and further data sources. The simulation results indicate that, compared to internal information acquisition procedures, the use of urban sensing can improve a municipality’s availability of environmental information at a comparable level of cost. Furthermore, we discuss a number of aspects and learnings related to an urban sensing implementation and provide an empirical estimation of the diffusion model. Our results provide an impetus for researchers and government practitioners to reconsider the benefits of urban sensing applications in E-Government endeavors.info:eu-repo/semantics/openAccessUniversidad de TalcaJournal of theoretical and applied electronic commerce research v.7 n.3 20122012-12-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-18762012000300010en10.4067/S0718-18762012000300010
institution Scielo Chile
collection Scielo Chile
language English
topic Urban sensing
Mobile government
Mobile reporting
Simulation model
System dynamics
Action design research
Cost benefit analysis
spellingShingle Urban sensing
Mobile government
Mobile reporting
Simulation model
System dynamics
Action design research
Cost benefit analysis
Winkler,Till J.
Ziekow,Holger
Weinberg,Martin
Municipal Benefits of Participatory Urban Sensing: A Simulation Approach and Case Validation
description Involving citizens in public affairs through the use of participatory sensing applications is an emerging theme in Pervasive Computing and mobile E-Government (M-Government). Prior work, however, suggests that local governments place more emphasis on internal than on external M-Government projects. This paper takes an action design research perspective to provide insight into the often overlooked potential of citizen-centric, external M-Government services. We consider the scenario of a sensing application for reporting urban infrastructure issues to the municipality and present a System Dynamics model to estimate the diffusion, use, and municipal impacts of such service. The model is validated based on the case of a large German city, a dedicated survey, and further data sources. The simulation results indicate that, compared to internal information acquisition procedures, the use of urban sensing can improve a municipality’s availability of environmental information at a comparable level of cost. Furthermore, we discuss a number of aspects and learnings related to an urban sensing implementation and provide an empirical estimation of the diffusion model. Our results provide an impetus for researchers and government practitioners to reconsider the benefits of urban sensing applications in E-Government endeavors.
author Winkler,Till J.
Ziekow,Holger
Weinberg,Martin
author_facet Winkler,Till J.
Ziekow,Holger
Weinberg,Martin
author_sort Winkler,Till J.
title Municipal Benefits of Participatory Urban Sensing: A Simulation Approach and Case Validation
title_short Municipal Benefits of Participatory Urban Sensing: A Simulation Approach and Case Validation
title_full Municipal Benefits of Participatory Urban Sensing: A Simulation Approach and Case Validation
title_fullStr Municipal Benefits of Participatory Urban Sensing: A Simulation Approach and Case Validation
title_full_unstemmed Municipal Benefits of Participatory Urban Sensing: A Simulation Approach and Case Validation
title_sort municipal benefits of participatory urban sensing: a simulation approach and case validation
publisher Universidad de Talca
publishDate 2012
url http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-18762012000300010
work_keys_str_mv AT winklertillj municipalbenefitsofparticipatoryurbansensingasimulationapproachandcasevalidation
AT ziekowholger municipalbenefitsofparticipatoryurbansensingasimulationapproachandcasevalidation
AT weinbergmartin municipalbenefitsofparticipatoryurbansensingasimulationapproachandcasevalidation
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