DESIGN AND DEVELOPMENT OF MODELING AND SPATIAL INFORMATION SYSTEM FOR URBAN SPRAWL ANALYSIS (CASE STUDY: BANDUNG CITY)

<p align="justify">Bandung City is Indonesia's second most densely populated city, with a population density of 15,051 people per square kilometer, and it will continue to grow (BPS, 2022). The increasing population density will also impact urban development, particularly in...

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Main Author: Paradisa, Salsabila
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/73497
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:73497
spelling id-itb.:734972023-06-20T15:27:37ZDESIGN AND DEVELOPMENT OF MODELING AND SPATIAL INFORMATION SYSTEM FOR URBAN SPRAWL ANALYSIS (CASE STUDY: BANDUNG CITY) Paradisa, Salsabila Indonesia Final Project INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/73497 <p align="justify">Bandung City is Indonesia's second most densely populated city, with a population density of 15,051 people per square kilometer, and it will continue to grow (BPS, 2022). The increasing population density will also impact urban development, particularly in residential areas (Marshall, 2007). Uncontrolled urban development can spread urbanization into undeveloped land near the city, a phenomenon known as Urban Sprawl. Such uncoordinated development can result in dependence on vehicles, water pollution, damage to sensitive areas due to changes in land cover, increased risk of disasters, and a decline in the quality of life for residents. The methodology employed in this study includes a literature review and the development of a WebGIS using the Waterfall method. This final project aims to build a geospatial information system in the form of a website for analyzing urban sprawl. The Urban Sprawl Geospatial Information System is intended to achieve the following objectives: building a spatial analysis model to determine the direction and relationship of urban sprawl with associated aspects such as population, nighttime lights, Land Surface Temperature (LST), and Aerosol Optical Depth (AOD). The spatial direction is determined using the mean spatial method, which calculates the average X and Y coordinates. Regression analysis is also used to establish the relationships between urban sprawl and its associated aspects. It is expected that the findings of this final project can be utilized in policy-making considerations for urban planning and development in the region. Keywords: urban, impact of urban sprawl, WebGIS, mean spatial, regression text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description <p align="justify">Bandung City is Indonesia's second most densely populated city, with a population density of 15,051 people per square kilometer, and it will continue to grow (BPS, 2022). The increasing population density will also impact urban development, particularly in residential areas (Marshall, 2007). Uncontrolled urban development can spread urbanization into undeveloped land near the city, a phenomenon known as Urban Sprawl. Such uncoordinated development can result in dependence on vehicles, water pollution, damage to sensitive areas due to changes in land cover, increased risk of disasters, and a decline in the quality of life for residents. The methodology employed in this study includes a literature review and the development of a WebGIS using the Waterfall method. This final project aims to build a geospatial information system in the form of a website for analyzing urban sprawl. The Urban Sprawl Geospatial Information System is intended to achieve the following objectives: building a spatial analysis model to determine the direction and relationship of urban sprawl with associated aspects such as population, nighttime lights, Land Surface Temperature (LST), and Aerosol Optical Depth (AOD). The spatial direction is determined using the mean spatial method, which calculates the average X and Y coordinates. Regression analysis is also used to establish the relationships between urban sprawl and its associated aspects. It is expected that the findings of this final project can be utilized in policy-making considerations for urban planning and development in the region. Keywords: urban, impact of urban sprawl, WebGIS, mean spatial, regression
format Final Project
author Paradisa, Salsabila
spellingShingle Paradisa, Salsabila
DESIGN AND DEVELOPMENT OF MODELING AND SPATIAL INFORMATION SYSTEM FOR URBAN SPRAWL ANALYSIS (CASE STUDY: BANDUNG CITY)
author_facet Paradisa, Salsabila
author_sort Paradisa, Salsabila
title DESIGN AND DEVELOPMENT OF MODELING AND SPATIAL INFORMATION SYSTEM FOR URBAN SPRAWL ANALYSIS (CASE STUDY: BANDUNG CITY)
title_short DESIGN AND DEVELOPMENT OF MODELING AND SPATIAL INFORMATION SYSTEM FOR URBAN SPRAWL ANALYSIS (CASE STUDY: BANDUNG CITY)
title_full DESIGN AND DEVELOPMENT OF MODELING AND SPATIAL INFORMATION SYSTEM FOR URBAN SPRAWL ANALYSIS (CASE STUDY: BANDUNG CITY)
title_fullStr DESIGN AND DEVELOPMENT OF MODELING AND SPATIAL INFORMATION SYSTEM FOR URBAN SPRAWL ANALYSIS (CASE STUDY: BANDUNG CITY)
title_full_unstemmed DESIGN AND DEVELOPMENT OF MODELING AND SPATIAL INFORMATION SYSTEM FOR URBAN SPRAWL ANALYSIS (CASE STUDY: BANDUNG CITY)
title_sort design and development of modeling and spatial information system for urban sprawl analysis (case study: bandung city)
url https://digilib.itb.ac.id/gdl/view/73497
_version_ 1822993095101251584