scholarly journals Hedonic Price Modeling of the Influence of Violent Ethno-Religious Conflict on Residential Property Values in Bauchi Metropolis, Nigeria

2012 ◽  
Vol 5 (9) ◽  
Author(s):  
Yusuf L. Gambo
Keyword(s):  
Property Values ◽  
Religious Conflict ◽  
Residential Property ◽  
Hedonic Price ◽  
Hedonic Price Modeling ◽  
Residential Property Values

The spatial varying relationship between services of the train network and residential property values in Melbourne, Australia

Urban Studies ◽  
2020 ◽  
pp. 004209801989697
Author(s):  
Qianyao Li ◽  
Junwu Wang ◽  
Judith Callanan ◽  
Binbin Lu ◽  
Zeng Guo
Keyword(s):  
Local Level ◽  
Property Values ◽  
Residential Property ◽  
Spatial Effects ◽  
Hedonic Price ◽  
Residential Properties ◽  
Train Services ◽  
Service Frequency ◽  
Residential Property Values ◽  
The Relationship

This study investigates the spatial effects of the service frequency and transport interchange facilities of rail stations on residential property values for the entire metropolitan train network in Melbourne. Residential properties are classified as either detached or attached dwellings. Given that a traditional hedonic price model cannot handle the spatial dependence and spatial non-stationarity of the housing market, several geographically weighted regression (GWR) models are used and multicollinearity is considered; the model with the Euclidean distance metric outperforms others. Results indicate that the service frequency and facilities of the stations influence the residential property values in a spatially variable way. For every 1 km closer to the train stations, an increase in the frequency of the train services per unit results in a change in the residential property values ranging from −4.01% to 2.71%; an improvement in the transport interchange facilities per unit results in a change in the residential property values ranging from −29.93% to 47.04%. Crime and retail activities that indirectly affect the relationship between rail stations and residential property values are also identified. For every 1 km closer to the train stations, the crime density increases significantly from 5.64% to 42.88% and this occurs in one-fifth of the areas in Melbourne. In contrast, the relationship between retail activities and train stations remains spatially stable. This study complements the relatively scarce literature on the link between railway service levels and residential property values while extending the case study to the local level.

scholarly journals Hedonic Price Modeling of New Residential Property Values in Xi’an City, China

2017 ◽  
Vol 5 (9) ◽  
pp. 42 ◽  
Author(s):  
Kai Liu ◽  
Toshiaki Ichinose
Keyword(s):  
Real Estate ◽  
Property Values ◽  
Real Estate Market ◽  
Future Trend ◽  
Residential Property ◽  
Hedonic Price ◽  
The Real ◽  
The Real Estate ◽  
Residential Property Values ◽  
Xi’An City

This study analyzed new residential property values of Xi’an City in March, 2014. Results show that accessibility indices, such as distance to CBD, have been well capitalized into the residential property values. Particularly, a within-zone housing unit is sold 9.4% more than if it was outside the attendance zone of a Key Primary School, i.e. home buyers have how much willingness-to-pay for the high-quality educational resource. Another corollary is got that the accessibility to subway stations has not significantly been capitalized, only with a low premium reflecting in the real estate market of Xi’an City. Considered that spatial local singularities caused by unobserved variables or estimation bias can be associated with multi-regression errors, this study herein has explored an unconventional viewpoint to residual problem, which combines the regional differences (coming from real world) and the spatial distributions of singularities (feedback from data). Furthermore, whole samples are classified into 5 agglomerations for revealing the underlying reasons about the future trend and variation of real estate market within each region. It is effective to provide scientific basis of decision making for the real estate investors and planners.

The NWIMBY Effect (No Walmart in My Backyard): Big Box Stores and Residential Property Values

2009 ◽  
Author(s):  
Daniel K. N. Johnson ◽  
Kristina M. Lybecker ◽  
Nicole Gurley ◽  
Alex Stiller-Shulman ◽  
Stephen Fischer
Keyword(s):  
Property Values ◽  
Residential Property ◽  
Big Box ◽  
Residential Property Values

The Impact of Landfills on Residential Property Values

1992 ◽  
Vol 7 (3) ◽  
pp. 297-314 ◽  
Author(s):  
Alan Reichert ◽  
Michael Small ◽  
Sunil Mohanty
Keyword(s):  
Property Values ◽  
Residential Property ◽  
Residential Property Values ◽  
The Impact
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