Imperial College London
Portrait Picture

Dr Koen H. van Dam

Faculty of Engineering, Department of Chemical Engineering

Research Fellow
 
 
 
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Contact

 

+44 (0)20 7594 5705k.van-dam Website

 
 
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Location

 

453AACE ExtensionSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@inbook{Yang:2023:10.1007/978-981-19-5217-3_127,
author = {Yang, L and Iwami, M and Chen, Y and Wu, M and van, Dam KH},
doi = {10.1007/978-981-19-5217-3_127},
pages = {1234--1246},
title = {A Systematic Review of Urban Design and Computer Modelling Methods to Support Smart City Development in a Post-COVID Era},
url = {http://dx.doi.org/10.1007/978-981-19-5217-3_127},
year = {2023}
}
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RIS format (EndNote, RefMan)

TY  - CHAP
AB  - The COVID-19 pandemic emphasised the need for decision-support tools to assist urban designers in building resilient and smart cities. Therefore, a multi-disciplinary systematic review was conducted following the PRISMA guideline to identify papers relevant for selecting appropriate methodologies that can be applied to build decision-support tools for resilient cities. This paper presents a list of 109 key references, selected from 8,737 records found from the searches, and identified major research themes, fundamental design interventions, and computer modelling techniques. We extracted six groups of interventions categorised by different scales of action: from an individual, crowds (social distancing and travel-related interventions), to a building, a neighbourhood/district, and a city. In addition, there are three sorts of computational modelling approaches, i.e., computer simulation, statistical models, and AI algorithms. Most of the studies developed models for predictive purposes, and 28% of the modelling studies built models for descriptive purposes. This work intends to empower urban designers and planners to overcome and get prepared for unpredictable disasters in pursuit of resilient and smart cities, particularly in the post-pandemic world. This review enables them to quickly find relevant papers as well as suitable methodologies and tools for a particular research purpose.
AU  - Yang,L
AU  - Iwami,M
AU  - Chen,Y
AU  - Wu,M
AU  - van,Dam KH
DO  - 10.1007/978-981-19-5217-3_127
EP  - 1246
PY  - 2023///
SN  - 9789811952166
SP  - 1234
TI  - A Systematic Review of Urban Design and Computer Modelling Methods to Support Smart City Development in a Post-COVID Era
UR  - http://dx.doi.org/10.1007/978-981-19-5217-3_127
ER  -
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