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

Abstract

Co-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 predictedunderstanding such patterns supports cross-disciplinary city planning and decision-making. A data-informedpredictive spatial decision-making framework is proposedfacilitating 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.

Development Of Transportation And Logistics Systems In Digitalization And Intellectualization

“…The past 20 years have seen Smart City development initiatives aimed at developing infrastructure and services that form a comfortable urban environment for people in many cities around the world. However, Smart City development's scientific paradigm is in its infancy today, which is due to the multiplicity of similar categories as ''sustainable '', ''smart'', ''digital'', ''intelligent'', and ''ecofriendly'', etc. Many scientists (Albino et al, 2015;Angelidou, 2017;Benner, 2019;Ben-Zadok, 2019;Dowling et al, 2019;Hatuka et al, 2018;Jin et al, 2019;Joss et al, 2019;Jonescu et al, 2020;Komninos, 2014;Wong et al, 2018;Yigitcanlar & Kamruzzaman, 2019) associate the Smart City transport and logistics system with the development of physical, digital and intellectual infrastructure, which serves as the basis for harmonizing streaming and non-streaming processes. However, the theoretical and methodological foundations of its development and functioning are in the process of formation.…”