Demographic Dynamics and Urban Property Crime : A Linear Regression Analysis in Kuala Lumpur and Putrajaya (2015-2020)

In an era where urbanization is rapidly transforming the landscape of cities, this study provides a crucial overview of how demographic shifts influence property crime in metropolitan areas. The paper delves into the complex interplay between property crime rates and demographic characteristics in t...

Full description

Saved in:
Bibliographic Details
Main Authors: Azizul, Ahmad, Tarmiji, Masron, Asykal Syakinah, Mohd Ali, Yoshinari, Kimura, Syahrul Nizam, Junaini
Format: Article
Language:English
Published: Planning Malaysia: Journal of the Malaysian Institute of Planners 2024
Subjects:
Online Access:http://ir.unimas.my/id/eprint/46312/1/DemographicDynamics.pdf
http://ir.unimas.my/id/eprint/46312/
https://planningmalaysia.org/index.php/pmj/article/view/1550
https://doi.org/10.21837/pm.v22i33.1550
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.unimas.ir-46312
record_format eprints
spelling my.unimas.ir-463122024-10-15T06:23:06Z http://ir.unimas.my/id/eprint/46312/ Demographic Dynamics and Urban Property Crime : A Linear Regression Analysis in Kuala Lumpur and Putrajaya (2015-2020) Azizul, Ahmad Tarmiji, Masron Asykal Syakinah, Mohd Ali Yoshinari, Kimura Syahrul Nizam, Junaini H Social Sciences (General) In an era where urbanization is rapidly transforming the landscape of cities, this study provides a crucial overview of how demographic shifts influence property crime in metropolitan areas. The paper delves into the complex interplay between property crime rates and demographic characteristics in the urban settings of Kuala Lumpur and Putrajaya, Malaysia, over six years from 2015 to 2020. Employing linear regression analysis, the study meticulously examines the relationship between property crime and various demographic factors, including total population, male and female populations, and residential and household densities. The findings indicate a consistent positive correlation between total population and property crime, emphasizing urban density's role in crime propensity. Notably, the male population shows a stronger correlation with property crime than females. The study also highlights how residential and household densities influence property crime in these urban settings. These insights are invaluable for policymakers and urban planners, guiding targeted strategies to reduce property crime in growing cities. Planning Malaysia: Journal of the Malaysian Institute of Planners 2024-08-26 Article PeerReviewed text en http://ir.unimas.my/id/eprint/46312/1/DemographicDynamics.pdf Azizul, Ahmad and Tarmiji, Masron and Asykal Syakinah, Mohd Ali and Yoshinari, Kimura and Syahrul Nizam, Junaini (2024) Demographic Dynamics and Urban Property Crime : A Linear Regression Analysis in Kuala Lumpur and Putrajaya (2015-2020). PLANNING MALAYSIA : Journal of the Malaysian Institute of Planners, 22 (4). pp. 302-319. ISSN 0128-0945 https://planningmalaysia.org/index.php/pmj/article/view/1550 https://doi.org/10.21837/pm.v22i33.1550
institution Universiti Malaysia Sarawak
building Centre for Academic Information Services (CAIS)
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sarawak
content_source UNIMAS Institutional Repository
url_provider http://ir.unimas.my/
language English
topic H Social Sciences (General)
spellingShingle H Social Sciences (General)
Azizul, Ahmad
Tarmiji, Masron
Asykal Syakinah, Mohd Ali
Yoshinari, Kimura
Syahrul Nizam, Junaini
Demographic Dynamics and Urban Property Crime : A Linear Regression Analysis in Kuala Lumpur and Putrajaya (2015-2020)
description In an era where urbanization is rapidly transforming the landscape of cities, this study provides a crucial overview of how demographic shifts influence property crime in metropolitan areas. The paper delves into the complex interplay between property crime rates and demographic characteristics in the urban settings of Kuala Lumpur and Putrajaya, Malaysia, over six years from 2015 to 2020. Employing linear regression analysis, the study meticulously examines the relationship between property crime and various demographic factors, including total population, male and female populations, and residential and household densities. The findings indicate a consistent positive correlation between total population and property crime, emphasizing urban density's role in crime propensity. Notably, the male population shows a stronger correlation with property crime than females. The study also highlights how residential and household densities influence property crime in these urban settings. These insights are invaluable for policymakers and urban planners, guiding targeted strategies to reduce property crime in growing cities.
format Article
author Azizul, Ahmad
Tarmiji, Masron
Asykal Syakinah, Mohd Ali
Yoshinari, Kimura
Syahrul Nizam, Junaini
author_facet Azizul, Ahmad
Tarmiji, Masron
Asykal Syakinah, Mohd Ali
Yoshinari, Kimura
Syahrul Nizam, Junaini
author_sort Azizul, Ahmad
title Demographic Dynamics and Urban Property Crime : A Linear Regression Analysis in Kuala Lumpur and Putrajaya (2015-2020)
title_short Demographic Dynamics and Urban Property Crime : A Linear Regression Analysis in Kuala Lumpur and Putrajaya (2015-2020)
title_full Demographic Dynamics and Urban Property Crime : A Linear Regression Analysis in Kuala Lumpur and Putrajaya (2015-2020)
title_fullStr Demographic Dynamics and Urban Property Crime : A Linear Regression Analysis in Kuala Lumpur and Putrajaya (2015-2020)
title_full_unstemmed Demographic Dynamics and Urban Property Crime : A Linear Regression Analysis in Kuala Lumpur and Putrajaya (2015-2020)
title_sort demographic dynamics and urban property crime : a linear regression analysis in kuala lumpur and putrajaya (2015-2020)
publisher Planning Malaysia: Journal of the Malaysian Institute of Planners
publishDate 2024
url http://ir.unimas.my/id/eprint/46312/1/DemographicDynamics.pdf
http://ir.unimas.my/id/eprint/46312/
https://planningmalaysia.org/index.php/pmj/article/view/1550
https://doi.org/10.21837/pm.v22i33.1550
_version_ 1814942148608393216
score 13.222552