Forgotten coast, forgotten people: sustainable development and disproportionate impacts from Hurricane Michael in Gulf County, Florida

A central challenge for sustainable development is how societies are to avoid, minimize or address impacts from anthropogenic climate change. However, competing perspectives on “what should be sustained” lead to widely different understandings of what mitigation, adaptation and loss and damage entail and how best to approach them. We provide a novel conceptual and empirical comparison of two contrasting sustainable development-based approaches to the study of impacts from climate-related extreme events: Capital Theory and capability-based Human Development. We use our analysis of immediate residential property value and housing capacity impacts caused by Hurricane Michael in Gulf County, Florida, to demonstrate how the sustainable development theory used to assess and interpret impacts greatly affects the identification of whom and where is objectively “most impacted.” Through a comparison of the two approaches, we identify relative advantages and disadvantages, emphasizing that while both provide coherent, comprehensive, and integrative approaches to climate-related impact assessment, the capability approach is much less likely to lead researchers and practitioners to overlook the most disadvantaged communities when compared to Capital Theory.

IDENTIFIKASI FAKTOR-FAKTOR YANG MEMPENGARUHI NILAI PROPERTI RESIDENSIAL BERDASARKAN PERSEPSI PENILAI PEMERINTAH

State asset management is conducted in a transparent and accountable manner. One notable requirement that has to be met is the value of the assets. Such value is estimated by a qualified government valuer based on certain valuation approaches. This process normally carries a degree of subjectivity. This research uses statistical procedures to identify property attributes that significantly affect residential property value based on the government valuers’ perception. For this purpose, a set of questionnaires was distributed to government valuers who are part of the Directorate General of State Assets Management (DGSAM). These questionnaires contained property attributes identified from the literatures and validated by several property valuers at the DGSAM and PKN STAN. There were 285 valuers who provided their responses in this research, which was slightly higher than the anticipated number of participants. Further analysis from these responses shows that non-structural property attributes, one that are not directly related to property physical attributes, are indicated to be more significant in affecting residential property value. This research however only involves DGSAM’s valuers and thus, is rather limited in nature. The results reported in this paper as such should be interpreted accordingly

Effects of Noise Pollution on Residential Property Value in Enugu Urban, Nigeria

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.

Implicit Sustainable Development Theories Obscure Disproportionate Impacts from Climate-related Extreme Events: Example from Hurricane Michael and Housing Losses on Florida’s Forgotten Coast

A central challenge for sustainable development (SD) is how societies are to avoid, minimize or address impacts from anthropogenic climate change. However, competing perspective on “what should be sustained” lead to widely different understandings of what mitigation, adaptation and loss and damage entail and how best to approach them. We provide a novel conceptual and empirical comparison of two contrasting SD-based theoretical approaches to the study of impacts from climate-related extreme events: Capital Theory and Human Development. We use our analysis of immediate residential property value and housing capacity impacts caused by Hurricane Michael in Gulf County, Florida, to demonstrate how the theory used to assess and interpret impacts greatly affects the identification of whom and where is considered to be objectively “most impacted”. From our comparative analysis and discussion, we conclude that, while currently underutilized, Human Development is the more advanced approach to SD oriented climate-impact research and policy when compared to Capital Theory.

The Impact of Transportation and Walkability on Residential Property Value

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.

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

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.