Residential segregation could be regarded as a process whereby two or more distinct communities who formerly lived together separate from one another due to many factors. Residential segregation is not only applicable to small communities but rather to a larger region. As a result of the ongoing civil unrest that engulfed the city of Jos, there has been a process of residential mobility and relocation among people of different faith. The paper is aimed at examining the implication of intangible location attributes on residential mobility, segregation and relocation in Jos town. Stratified random sampling technique was employed in order to come up with the sample needed to conduct the research. The data needed for the research were retrieved through structured, semi-structured and unstructured interview method of data collection. A qualitative method and approach of data analysis through the use of a thematic network analysis was incorporated in order to analyse the data gotten from the interview survey. The results uncovered that residential segregation in the study area leads to change in the residential pattern of Jos town. The variations and trends in the sales and rental value of residential properties were greatly affected as a result of the persisting residential segregation. The research concludes that residential segregation has a great implication on land and landed property value as variations in the values of residential properties is noticeable. There is a need for those in authority to take a decisive action in order to overcome and halt the persisting mobility and relocation in the study area

Housing is a country’s biggest asset. Hence, the pattern of the housing price index (HPI) is an important topic to gain insight into the housing market while identifying the prevailing housing issues. The determinants of housing price vary for each city and state based on the different characteristics in each location. Accordingly, HPI should consider the property’s quality differences. Besides, national HPI is insufficient and restricted to the housing price at the state level. Thus, the study focused on constructing a specified HPI model for different cities, districts, and states. Effective HPI can give parties a better idea of the current property market situation and act as an analytical tool in managing the sector. Specifically, the study aims to examine the relationship between the heterogeneity housing attributes and housing prices of the terraced properties in Johor Bahru, Malaysia. Additionally, the study provides detailed information on the key determinants of the housing price variation in Johor Bahru. Hedonic price analysis is useful in constructing HPI, expressing housing price as a function of vector property characteristics. Furthermore, HPI is constructed based on the yearly indices and by pooling the data into certain periods. The results show the percentage of variance explained by the factors of HPI for the terraced properties in Johor Bahru. Correspondingly, the underlying correlation between the tested housing attributes with the housing price is explained through the analysis results.

The objective of this paper is to examine the effect of aircraft noise on residential property price within the case study area, and the main focus of this research was the distance of selected residential housed from Kuching International Airport (KIA). Aircraft noise is a source of noise pollution and act as environment factor that affect the house prices. Environmental disamenities from water and noise pollution will caused the houses to sell at lower price, accounted 20.8% less than houses located in area without noise interference. Apparently, the noise produced by the aircraft has even larger negative impact on house prices as compared to road traffic noise and railway noise. This study adopted quantitative approach in answering the objective of the paper. The findings were based on the secondary data which including 210 property transaction data within year 2015. The range of areas for this study was limited to selected residential terrace houses that located within 10.0 km from Kuching International Airport (KIA). The findings from Multiple Regression Analysis (MRA) shows that the property prices located nearer to the airport (<2.5 km from KIA) in selected case study areas have been sold with lower price. Moreover, the prices of the properties located distance from KIA were not negatively impacted by the aircraft noise due to the other pulling factor that has larger impact to the property. Indeed, the location of the property, public amenities, transportation system, neighborhood factor and facilities also has close relationship to the property price.

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