In support of sustainable densification in urban planning: a proposed framework for utilising CCTV for propagation of human energy from movement within urban spaces

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dc.citation.issue1
dc.citation.volume8
dc.contributor.authorJonescu E
dc.contributor.authorMercea T
dc.contributor.authorDo K
dc.contributor.authorSutrisna M
dc.date.accessioned2024-08-19T21:32:40Z
dc.date.available2024-08-19T21:32:40Z
dc.date.issued2019-12-18
dc.description.abstractCo-generation of energy derived from human movement is not new. Intentionally accumulating energy, from mass urban-mobility, provides opportunities to re-purpose power. However, when mass-mobility is predictable, yet not harnessed, this highlights critical gaps in application of interdisciplinary knowledge. This research highlights a novel application of geostatistical modelling for the built environment with the purpose of understanding where energy harvesting infrastructure should be located. The work presented argues that advanced Geostatistical methods can be implemented as an appropriate method to predict probability distribution, density, clustering of populations and mass-population mobility patterns from large-scale online distributed and heterogeneous data sets published by the Australian Urban Research Infrastructure Network. Where clear urban spatio-behavioural relationships of density and movement can be predicted–understanding such patterns supports cross-disciplinary city planning and decision-making. A data-informed–predictive spatial decision-making framework is proposed–facilitating the endeavour of cogenerating kinetic human energy within a prescribed space. This novel proposition could further sustainability strategies for compact living for cities such as in Perth, Western Australia which is increasingly economically and geographically pressured to densify. This research argues that surveillance data elucidate a capacity to interpret and understand impacts of densification strategies, efficacy of CCTV networks in existing and emerging cities.
dc.description.confidentialfalse
dc.edition.editionJan 2020
dc.format.pagination24-43
dc.identifier.citationJonescu E, Mercea T, Do K, Sutrisna M. (2020). In support of sustainable densification in urban planning: a proposed framework for utilising CCTV for propagation of human energy from movement within urban spaces. Urban, Planning and Transport Research. 8. 1. (pp. 24-43).
dc.identifier.doi10.1080/21650020.2019.1703800
dc.identifier.eissn2165-0020
dc.identifier.elements-typejournal-article
dc.identifier.urihttps://mro.massey.ac.nz/handle/10179/71341
dc.languageEnglish
dc.publisherTaylor and Francis Group
dc.publisher.urihttps://www.tandfonline.com/doi/full/10.1080/21650020.2019.1703800
dc.relation.isPartOfUrban, Planning and Transport Research
dc.rights(c) 2019 The Author/s
dc.rightsCC BY 4.0
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectBig Data
dc.subjectCCTV
dc.subjectGIS
dc.subjectKernel Density Estimation
dc.subjectGeostatistics
dc.subjectsustainability
dc.titleIn support of sustainable densification in urban planning: a proposed framework for utilising CCTV for propagation of human energy from movement within urban spaces
dc.typeJournal article
pubs.elements-id479007
pubs.organisational-groupCollege of Health
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