Smart City Gnosys

Smart city article details

Title Smart Data For Smart City Morphology: The Case Of Meridia Neighborhood In Nice, France
ID_Doc 50735
Authors Caglioni M.; Fusco G.; Venerandi A.
Year 2020
Published ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 6, 4/W2
DOI http://dx.doi.org/10.5194/isprs-annals-VI-4-W2-2020-33-2020
Abstract Nowadays, cities have to withstand multiple challenges such as climate change, increasing urban population, economic cycles, health crises, traffic congestion, rising levels of energy consumption and citizens' expectations. Recently, the smart city has been proposed as a model to face such challenges. Underneath its digital skin, which provides ubiquitous high-tech solutions, the smart city is often presented in continuity with the traditional city, while getting inspired by the modernist or international paradigm (free standing towers, high density development and functional zoning). Is this actually the case? To understand the features of urban form of new smart developments and how these relate to existing approaches in city planning, we propose a quantitative methodology to compare features of multiple city areas, which is based on the computation of a set of 3D morphometrics of the urban environment, and descriptive statistics for each metric. We applied this methodology to compare Nice Meridia, a French example of smart city development, with a traditional neighbourhood, located in the same city. Outcomes show that the smart city neighbourhood shares some morphological aspects with the traditional city, but differs significantly in other respects, showing the interest of quantitative 3D metrics. © 2020 M. Caglioni et al.
Author Keywords 3D City Model; Morphometrics; Neighborhood Comparison; Smart City; Urban Forms


Similar Articles


Id Similarity Authors Title Published
25697 View0.925Venerandi A.; Fusco G.; Caglioni M.Exploring The Form Of A Smart City District: A Morphometric Comparison With Examples Of Previous Design ModelsLand, 12, 12 (2023)
29653 View0.886Resch B.; Szell M.Human-Centric Data Science For Urban StudiesISPRS International Journal of Geo-Information, 8, 12 (2019)
4936 View0.883Ioanna F.; Dimitra T.A Strategic Approach To Smart Cities Through Ca And Shape GrammarsSMARTGREENS 2019 - Proceedings of the 8th International Conference on Smart Cities and Green ICT Systems (2019)
36689 View0.882Bruzzone M.Medium-Sized Smart Cities: A Smart Vision For Urban Centralities And Buildings. From The European Case History, To A Proposal For The City Of Parma, ItalyLecture Notes in Information Systems and Organisation, 36 (2021)
27415 View0.882Borsekova, K; Koróny, S; Vanová, A; Vitálisová, KFunctionality Between The Size And Indicators Of Smart Cities: A Research Challenge With Policy ImplicationsCITIES, 78 (2018)
1967 View0.882Nath N.; Nitanai R.; Manabe R.; Murayama A.A Global-Scale Review Of Smart City Practice And Research Focusing On Residential NeighbourhoodsHabitat International, 142 (2023)
1236 View0.879Alessi M.; Camillo A.; Giangreco E.; Pino S.; Storelli D.A Data Visualization Solution For The Smart City To Exploit Environmental Data By Means Of 3D Buildings2020 5th International Conference on Smart and Sustainable Technologies, SpliTech 2020 (2020)
28095 View0.878Alizadeh T.Global Trends Of Smart Cities: A Comparative Analysis Of Geography, City Size, Governance, And Urban PlanningGlobal Trends of Smart Cities: A Comparative Analysis of Geography, City Size, Governance, and Urban Planning (2021)
33427 View0.877Kousis A.; Tjortjis C.Investigating The Key Aspects Of A Smart City Through Topic Modeling And Thematic AnalysisFuture Internet, 16, 1 (2024)
57490 View0.877Nilssen, MTo The Smart City And Beyond? Developing A Typology Of Smart Urban InnovationTECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 142 (2019)