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Modeling flood impact on residential property value

In the context of the property market in Malaysia, environmental impact such as flooding is not clearly stated in the value of the property. It has not yet been ascertained whether flood factor affects buyer's preference and is taken into consideration in residential property transactions. This...

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Main Author: Hassim, Muhammad
Format: Thesis
Language:English
Published: 2022
Subjects:
T Technology (General)
Online Access:http://eprints.utm.my/id/eprint/99629/1/MuhammadHassimMMJIIT2022.pdf
http://eprints.utm.my/id/eprint/99629/
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spelling my.utm.996292023-03-08T03:44:06Z http://eprints.utm.my/id/eprint/99629/ Modeling flood impact on residential property value Hassim, Muhammad T Technology (General) In the context of the property market in Malaysia, environmental impact such as flooding is not clearly stated in the value of the property. It has not yet been ascertained whether flood factor affects buyer's preference and is taken into consideration in residential property transactions. This research examined the effect of flood on house price with special attention in high density areas such as Kajang city area in Langat River Basin, Malaysia. It aims to develop a flood impact model to assess the impact of flood on property value. This study used XP-Storm Water Management Model (XP-SWMM) software to establish a two-dimension (2D) flood map as well as the inundation area of the flood, and Statistical Package for the Social Science (SPSS) software to identify the relationship between the house value and flooding factor. The data include the property transaction from 2013 to 2018 and hydrological data such as precipitation and discharge (m3/s) in the study area. Property transaction data from Valuation and Property Services Department was analysed using Pola Graph and Multiple Regression Analysis in SPSS. The simulation model was developed for Kajang city area. The flood simulation produced a streamflow graph that subsequently used in property impact assessment analysis. As an overall comparison, the peak flow and the shape of the hydrograph for the calibration and validation works are in good agreement. The study indicates that flooding always has a negative impact on property value, which the results showed a decrement in value by 7% on average every year starting from 2013 to 2018. There is also a slight difference in value between property in flood free and flood liable areas. This flood model impact provides a concrete assessment of the flood impact on property value, and such data is useful to guide professionals to determine the property value in flood-prone areas and also to potential buyers in making an informed decision in real estate investment. 2022 Thesis NonPeerReviewed application/pdf en http://eprints.utm.my/id/eprint/99629/1/MuhammadHassimMMJIIT2022.pdf Hassim, Muhammad (2022) Modeling flood impact on residential property value. Masters thesis, Universiti Teknologi Malaysia. http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:150841
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic T Technology (General)
spellingShingle T Technology (General)
Hassim, Muhammad
Modeling flood impact on residential property value
description In the context of the property market in Malaysia, environmental impact such as flooding is not clearly stated in the value of the property. It has not yet been ascertained whether flood factor affects buyer's preference and is taken into consideration in residential property transactions. This research examined the effect of flood on house price with special attention in high density areas such as Kajang city area in Langat River Basin, Malaysia. It aims to develop a flood impact model to assess the impact of flood on property value. This study used XP-Storm Water Management Model (XP-SWMM) software to establish a two-dimension (2D) flood map as well as the inundation area of the flood, and Statistical Package for the Social Science (SPSS) software to identify the relationship between the house value and flooding factor. The data include the property transaction from 2013 to 2018 and hydrological data such as precipitation and discharge (m3/s) in the study area. Property transaction data from Valuation and Property Services Department was analysed using Pola Graph and Multiple Regression Analysis in SPSS. The simulation model was developed for Kajang city area. The flood simulation produced a streamflow graph that subsequently used in property impact assessment analysis. As an overall comparison, the peak flow and the shape of the hydrograph for the calibration and validation works are in good agreement. The study indicates that flooding always has a negative impact on property value, which the results showed a decrement in value by 7% on average every year starting from 2013 to 2018. There is also a slight difference in value between property in flood free and flood liable areas. This flood model impact provides a concrete assessment of the flood impact on property value, and such data is useful to guide professionals to determine the property value in flood-prone areas and also to potential buyers in making an informed decision in real estate investment.
format Thesis
author Hassim, Muhammad
author_facet Hassim, Muhammad
author_sort Hassim, Muhammad
title Modeling flood impact on residential property value
title_short Modeling flood impact on residential property value
title_full Modeling flood impact on residential property value
title_fullStr Modeling flood impact on residential property value
title_full_unstemmed Modeling flood impact on residential property value
title_sort modeling flood impact on residential property value
publishDate 2022
url http://eprints.utm.my/id/eprint/99629/1/MuhammadHassimMMJIIT2022.pdf
http://eprints.utm.my/id/eprint/99629/
http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:150841
_version_ 1761616358810845184
score 13.211869

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