scholarly journals A review of climate change (floods) and economic attributes response to residential property value in Malaysia

2019 ◽  
Vol 11 (4) ◽  
pp. 1084-1094
Author(s):  
Siti Hafsah Zulkarnain ◽  
Maki Tsujimura ◽  
Muhamad Ali Yuzir ◽  
Muhammad Najib Razali ◽  
Zakri Tarmidi

Abstract The art and science of determining residential property value has evolved due to the changing external factors, such as the economy, environmental (climate change) and social aspects. This research aims to identify the impact of climate change (floods) to determine residential economic attributes that could affect the value for residential property in flood risk areas. The case study covers all residential housing schemes in Langat River Basin area, which has been considered as the highest flood risk area in the State of Selangor, Malaysia. The methodology of this research is based on the conceptual analysis from previous studies from local and international scenarios. The systematic analysis of previous literature of real estate valuation theory consists of economic attributes such as structural, locational and environmental attributes involved in residential property valuation in relation to flooding. The findings reveal that the economic attributes' response to flood hazards for residential properties can be divided into three conditions, and they are: positive, negative or no effect on the climate change factor.

2017 ◽  
Vol 25 (3) ◽  
pp. 51-61 ◽  
Author(s):  
Iwona Foryś ◽  
Ewa Putek-Szeląg

Abstract The decisions of buyers on the housing market are not only the sum of their subjective expectations but also of the perception of real estate through a prism of opinions and suggestions arising from the surroundings. One of the basic criteria driving households determined to meet basic housing needs is security. The aim of the study is to identify the relationship between the transaction prices of housing and the crime rate in the various districts of Szczecin. For this purpose, data from the Regional Police Headquarters in Szczecin (i.e. map of crimes) and transactional data from notarial acts are analyzed in the work. Then, using statistical and econometric models, spatial relationships of the examined crimes are investigated.


2021 ◽  
Vol 5 (3) ◽  
pp. 3-17
Author(s):  
Afiruddin Tapa ◽  
Nurul Wazien Mohd Noor

In order to determine the impact of transportation and walkability as one of the important smart growth principles in creating economic value, this study examines the impact of transportation and walkability on Residential Property Value in Shah Alam, Selangor, Malaysia neighborhoods. Based on secondary data collected on Brickz.com, a hedonic regression model was constructed to estimate median Residential Property Value in Shah Alam, Selangor for the Residential Property Value assessment. The model's findings demonstrate that transportation and walkability factors have less impact on estimated Residential Property Value than other residential structure characteristics such as number of floors, number of bedrooms, and land area. Only three variables from the Structure Characteristic were statistically significant in this study: Structure Characteristic no of the floor, Structure Characteristic No of the Bedroom and Structure Characteristic Land Area. Consequently, all transportation and walkability are insignificant towards residential house prices. This shows that there are still ways to increase house prices through attractive house structure planning. With this, the formation of an attractive house structure in development planning is an important aspect in increasing the demand for house prices while rising house prices efficiently. The adoption of the appropriate use of public transport uses the principle of good growth to achieve added value and improve the overall quality of life in the neighborhood.


SAGE Open ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 215824402110321
Author(s):  
Idu R. Egbenta ◽  
Smart N. Uchegbu ◽  
Ejike Ubani ◽  
Okwuchi Juliet Akalemeaku

One of the persistent environmental issues today is high noise levels in residential areas especially in the developing countries. There are several unorganized informal sector activities such as recreational, road traffic, household and religious activities, operation of power generating sets, incompatible uses in space among others that are the sources of noise pollution in residential areas. A number of empirical studies have been carried out on the impact of noise on residential property values. However, one finds it very difficult to ascertain whether noise pollution affects residential property value in Enugu Urban. The aim of this study is to ascertain whether noise pollution has significant influence on residential rental values in the study area. The study has discovered that residential properties affected by noise pollution have lower rental value compared to those unaffected by 3.1% of its rental value. The study has provided some insight to guide property buyers or users, investors, property managers, and valuers as regards property transactions. The study has suggested that property value spatial index of noise pollution in the study area can be built and use as a guide for urban management strategy to achieve sustainable development.


Author(s):  
Michalis I. Vousdoukas ◽  
Dimitrios Bouziotas ◽  
Alessio Giardino ◽  
Laurens M. Bouwer ◽  
Evangelos Voukouvalas ◽  
...  

Abstract. An upscaling of flood risk assessment frameworks beyond regional and national scales has taken place during recent years, with a number of large-scale models emerging as tools for hotspot identification, support for international policy-making and harmonization of climate change adaptation strategies. There is, however, limited insight on the scaling effects and structural limitations of flood risk models and, therefore, the underlying uncertainty. In light of this, we examine key sources of epistemic uncertainty in the Coastal Flood Risk (CFR) modelling chain: (i) the inclusion and interaction of different hydraulic components leading to extreme sea-level (ESL); (ii) inundation modelling; (iii) the underlying uncertainty in the Digital Elevation Model (DEM); (iv) flood defence information; (v) the assumptions behind the use of depth-damage functions that express vulnerability; and (vi) different climate change projections. The impact of these uncertainties to estimated Expected Annual Damage (EAD) for present and future climates is evaluated in a dual case study in Faro, Portugal and in the Iberian Peninsula. The ranking of the uncertainty factors varies among the different case studies, baseline CFR estimates, as well as their absolute/relative changes. We find that uncertainty from ESL contributions, and in particular the way waves are treated, can be higher than the uncertainty of the two greenhouse gas emission projections and six climate models that are used. Of comparable importance is the quality of information on coastal protection levels and DEM information. In the absence of large-extent datasets with sufficient resolution and accuracy the latter two factors are the main bottlenecks in terms of large-scale CFR assessment quality.


2021 ◽  
Vol 6 (2) ◽  
pp. 59-69
Author(s):  
Husna Fauzia ◽  
◽  
Eka Cahyaningsih ◽  
Hery Hariyanto ◽  
Satya Nugraha ◽  
...  

Flooding is a catastrophic phenomenon that can occur due to various factors, such as uncontrolled landuse changes, climate change, and weather anomalies, and drainage infrastructure damage. The Bodri watershed in Kendal Regency is one of the watersheds in Central Java, which is categorized as critical based on Decree No.328/Menhut-II/2009. Some of the problems in the Bodri watershed include land use that is not suitable for its designation, flooding, erosion, and landslides. This study aims to conduct spatial modeling to create flood hazard maps and flood risk level maps in the Bodri watershed. The method used is hydrograph analysis, flood modeling, potential flood hazards, and flood risk levels. Analysis of the potential for flood hazards from the spatial modeling inundation map with the input of the flood peak return period of 2 years (Q2), 5 years (Q5), and 50 years (Q50). Vulnerability analysis based on land use maps of flood hazard areas. The distribution of flood-prone areas in the Bodri watershed is in Pidodo Kulon Village, Pidodo Wetan Village, and Bangunsari Village.


Weather ◽  
2021 ◽  
Vol 76 (10) ◽  
pp. 330-331
Author(s):  
Linda Speight ◽  
Karolina Krupska

2021 ◽  
Author(s):  
Remi Meynadier ◽  
Hugo Rakotoarimanga ◽  
Madeleine-Sophie Deroche ◽  
Sylvain Buisine

<p>The large-scale and complex nature of climate change makes it difficult to assess and quantify the impact on insurance activities. Climate change is likely affecting the probability of natural hazard occurrence in terms of severity and/or frequency.</p><p>Natural catastrophe risk is a function of hazard, exposure and vulnerability. As a (re)-insurer it is seen that changes in year-on-year losses are a function of all these components and not just the hazard.</p><p>The present study focuses, in a first step, on assessing impacts of climate change on fluvial flood risks in Europe solely due to changes in hazard itself. A stochastic catalogue of future flood risk events is derived from Pan-European data sets of river flood probability of occurrence produced within EU FP7 RAIN project. The loss modelling framework internally developed at AXA is then used to provide a geographical view of changes in future flood risks.</p><p> </p>


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