Mapping of city growth with socio-economic growth data

In Southeast Asia, the urban population increased from 32% to 47% between 1990 and 2014, signifying a rapid trend of urbanization (United Nations, 2014) and the growth of cities. Their growth entails increasing urban populations and assets that are exposed and vulnerable to the impacts of natural di...

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Main Author: Mun, Cassandra Ji Kay
Other Authors: Lo Yat-Man, Edmond
Format: Final Year Project
Language:English
Published: 2018
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Online Access:http://hdl.handle.net/10356/74555
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-745552023-03-03T16:57:29Z Mapping of city growth with socio-economic growth data Mun, Cassandra Ji Kay Lo Yat-Man, Edmond School of Civil and Environmental Engineering DRNTU::Engineering::Civil engineering In Southeast Asia, the urban population increased from 32% to 47% between 1990 and 2014, signifying a rapid trend of urbanization (United Nations, 2014) and the growth of cities. Their growth entails increasing urban populations and assets that are exposed and vulnerable to the impacts of natural disasters. Hence, extensive and quality data on the trends of city growth are crucial for the development of effective urban plans and introduction of appropriate risk mitigation measures. In this study, the reported Capital Stock data of physical structures as the selected indicator of exposed assets is downscaled from a national level to a 1km by 1km grid resolution using three different indicators (i) Population, (ii) Land Cover and (iii) Road Network Density. The objectives are to (1) track urban growth patterns and (2) develop a suitable estimator of Capital Stock exposed with the indicators available. Year 2000, 2010 and 2020 are selected to track the trends over two ten-year periods and a twenty-year period for the specific Southeast Asian cities of Jakarta and Manila. It was found that Capital Stock distribution by Land Cover and Road Network Density are more homogenous in comparison to distribution by Population. Grids with higher Capital Stock proportions relative to the total Capital Stock value are concentrated around the central metropolitan regions. Percentage of Capital Stock of a district in the city (proportion of Capital Stock relative to city’s total Capital Stock value) is generally proportional to its percentage area (proportion of district’s area relative to city’s total area). Capital Stock Growth is observed to be independent of Population size.The variability of Capital Stock values with different indicators was useful in finding out if a suitable indicator or a combination of more than one could be chosen to be a Capital Stock estimator. However, as correlation between cities differ, the results were city-specific and inconclusive to select a suitable indicator and more cities need to be studied. Bachelor of Engineering (Civil) 2018-05-21T07:37:30Z 2018-05-21T07:37:30Z 2018 Final Year Project (FYP) http://hdl.handle.net/10356/74555 en Nanyang Technological University 58 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Civil engineering
spellingShingle DRNTU::Engineering::Civil engineering
Mun, Cassandra Ji Kay
Mapping of city growth with socio-economic growth data
description In Southeast Asia, the urban population increased from 32% to 47% between 1990 and 2014, signifying a rapid trend of urbanization (United Nations, 2014) and the growth of cities. Their growth entails increasing urban populations and assets that are exposed and vulnerable to the impacts of natural disasters. Hence, extensive and quality data on the trends of city growth are crucial for the development of effective urban plans and introduction of appropriate risk mitigation measures. In this study, the reported Capital Stock data of physical structures as the selected indicator of exposed assets is downscaled from a national level to a 1km by 1km grid resolution using three different indicators (i) Population, (ii) Land Cover and (iii) Road Network Density. The objectives are to (1) track urban growth patterns and (2) develop a suitable estimator of Capital Stock exposed with the indicators available. Year 2000, 2010 and 2020 are selected to track the trends over two ten-year periods and a twenty-year period for the specific Southeast Asian cities of Jakarta and Manila. It was found that Capital Stock distribution by Land Cover and Road Network Density are more homogenous in comparison to distribution by Population. Grids with higher Capital Stock proportions relative to the total Capital Stock value are concentrated around the central metropolitan regions. Percentage of Capital Stock of a district in the city (proportion of Capital Stock relative to city’s total Capital Stock value) is generally proportional to its percentage area (proportion of district’s area relative to city’s total area). Capital Stock Growth is observed to be independent of Population size.The variability of Capital Stock values with different indicators was useful in finding out if a suitable indicator or a combination of more than one could be chosen to be a Capital Stock estimator. However, as correlation between cities differ, the results were city-specific and inconclusive to select a suitable indicator and more cities need to be studied.
author2 Lo Yat-Man, Edmond
author_facet Lo Yat-Man, Edmond
Mun, Cassandra Ji Kay
format Final Year Project
author Mun, Cassandra Ji Kay
author_sort Mun, Cassandra Ji Kay
title Mapping of city growth with socio-economic growth data
title_short Mapping of city growth with socio-economic growth data
title_full Mapping of city growth with socio-economic growth data
title_fullStr Mapping of city growth with socio-economic growth data
title_full_unstemmed Mapping of city growth with socio-economic growth data
title_sort mapping of city growth with socio-economic growth data
publishDate 2018
url http://hdl.handle.net/10356/74555
_version_ 1759858061363642368