Direct Passive Participation: Aiming for Accuracy and Citizen Safety in the Era of Big Data and the Smart City

dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorDooley, Kenneth
dc.contributor.departmentDepartment of Electrical Engineering and Automation
dc.date.accessioned2021-03-22T07:07:43Z
dc.date.available2021-03-22T07:07:43Z
dc.date.issued2021-03-10
dc.description.abstractThe public services in our smart cities should enable our citizens to live sustainable, safe and healthy lifestyles and they should be designed inclusively. This article examines emerging data-driven methods of citizen engagement that promise to deliver effortless engagement and discusses their suitability for the task at hand. Passive participation views citizens as sensors and data mining is used to elicit meaning from the vast amounts of data generated in a city. Direct passive participation has a clear link between the creation and the use of the data whereas indirect passive participation does not require a link between creation and use. The Helsinki city bike share scheme has been selected as a case study to further explore the concept of direct passive participation. The case study shows that passive user generated data is a strong indicator of optimum city bike station sizing relative to the existing methods that are already in use. Indirect passive participation is an important area of development; however, it still needs to be developed further. In the meantime, direct passive participation can be one of the tools used to design inclusive services in a way that is safe and an accurate representation of the citizens’ needs.en
dc.description.versionPeer revieweden
dc.format.extent13
dc.format.extent336-348
dc.format.mimetypeapplication/pdf
dc.identifier.citationDooley , K 2021 , ' Direct Passive Participation: Aiming for Accuracy and Citizen Safety in the Era of Big Data and the Smart City ' , Smart cities , vol. 4 , no. 1 , pp. 336-348 . https://doi.org/10.3390/smartcities4010020en
dc.identifier.doi10.3390/smartcities4010020
dc.identifier.issn2624-6511
dc.identifier.otherPURE UUID: 5e753280-8f44-4b31-b822-175cba6e9ab0
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/5e753280-8f44-4b31-b822-175cba6e9ab0
dc.identifier.otherPURE FILEURL: https://research.aalto.fi/files/56979961/ELEC_Dooley_Direct_Passive_Participation_SmartCities_2021_finalpublishedversion.pdf
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/103202
dc.identifier.urnURN:NBN:fi:aalto-202103222480
dc.language.isoenen
dc.publisherMultidisciplinary Digital Publishing Institute (MDPI)
dc.relation.ispartofseriesSmart citiesen
dc.relation.ispartofseriesVolume 4, issue 1en
dc.rightsopenAccessen
dc.subject.keywordPassive participation
dc.subject.keywordCitizen engagement
dc.subject.keywordSmart city data
dc.subject.keywordDigital citizenship
dc.subject.keywordData-driven design
dc.titleDirect Passive Participation: Aiming for Accuracy and Citizen Safety in the Era of Big Data and the Smart Cityen
dc.typeA1 Alkuperäisartikkeli tieteellisessä aikakauslehdessäfi
dc.type.versionpublishedVersion
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