The capitalized amenity of green infrastructure in single-family housing values: An application of the spatial hedonic pricing method

2020 ◽  
Vol 49 ◽  
pp. 126643 ◽  
Author(s):  
Wonmin Sohn ◽  
Hyun Woo Kim ◽  
Jun-Hyun Kim ◽  
Ming-Han Li
Keyword(s):  
Green Infrastructure ◽  
Hedonic Pricing ◽  
Single Family ◽  
Housing Values ◽  
Hedonic Pricing Method ◽  
Family Housing

Electric End-Use Energy Efficiency Potential in the U.S. Single-Family Housing Stock

2017 ◽  
Author(s):  
Eric Wilson ◽  
Craig Christensen ◽  
Scott Horowitz ◽  
Joseph Robertson ◽  
Jeff Maguire
Keyword(s):  
Energy Efficiency ◽  
Housing Stock ◽  
Single Family ◽  
Family Housing ◽  
End Use ◽  
Energy Efficiency Potential ◽  
The U.S

scholarly journals Relationship between Land Use Mix and Walking Choice in High-Density Cities: A Review of Walking in Seoul, South Korea

2021 ◽  
Vol 13 (2) ◽  
pp. 810
Author(s):  
Eun Yeong Seong ◽  
Nam Hwi Lee ◽  
Chang Gyu Choi
Keyword(s):  
Land Use ◽  
Neighborhood Environment ◽  
Single Family ◽  
Housing Type ◽  
General Belief ◽  
Factors Affecting ◽  
Land Use Mix ◽  
Family Housing ◽  
Mixed Land Use ◽  
Major Factors

This study confirmed the general belief of urban planners that mixed land use promotes walking in Seoul, a metropolis in East Asia, by analyzing the effect of mixed land use on the travel mode choice of housewives and unemployed people who make non-commuting trips on weekdays. Using binomial logistic regression of commuting data, it was found that the more mixed a neighborhood environment’s uses are, the more the pedestrians prefer to walk rather than drive. The nonlinear relationship between the land use mix index and the choice to walk was also confirmed. Although mixed land use in neighborhoods increased the probability of residents choosing walking over using cars, when the degree of complexity increased above a certain level, the opposite effect was observed. As the density of commercial areas increased, the probability of selecting walking increased. In addition to locational characteristics, income and housing type were also major factors affecting the choice to walk; i.e., when the residents’ neighborhood environment was controlled for higher income and living in an apartment rather than multi-family or single-family housing, they were more likely to choose driving over walking.

International Real Estate Review

2006 ◽  
Vol 9 (1) ◽  
pp. 112-131
Author(s):  
Steven Plaut ◽  
◽  
Egita Uzulena ◽  
Keyword(s):  
Architectural Design ◽  
Explanatory Variable ◽  
Housing Stock ◽  
Housing Markets ◽  
Hedonic Pricing ◽  
Housing Values ◽  
Pricing Models ◽  
Explanatory Variables ◽  
Housing Value ◽  
Physical Features

Architectural design has generally not been included in estimations of hedonic pricing models and the reason is no doubt the difficulty in capturing it in a usable measurement variable. It is usually too idiosyncratic and heterogeneous to “sum up” easily and introduce as an explanatory variable. However, in some housing markets, architectural design consists of a limited number of standardized “prototypes”, which can then be used as explanatory variables in hedonic estimations. Such is the case for Riga, Latvia, where almost the entire housing stock fits into about a score of fairly standardized architectural design types. This paper is an empirical analysis of the Riga housing market, which only became a “market” in a meaningful sense after the collapse of the Soviet regime in Latvia. The paper analyzes a set of about 3500 transactions, all from recent years. We estimate the elasticity of housing value with respect to size of housing units and some other physical features, and the value of the different architectural designs, controlling for location. This is one of the first hedonic or microeconomic analyses of housing values in any post-Soviet transitional economy.

scholarly journals Patterns Of Residential Clusters In Single-Family Housing In The Iraqi City

2007 ◽  
Vol 15 (4) ◽  
pp. 43-61
Author(s):  
MAZIN JABER OMER ◽  
Dr. MUDHAFFAR ALJABIRI
Keyword(s):  
Single Family ◽  
Family Housing
Sign in / Sign up

Export Citation Format

Share Document