Effects of spatial access to neighborhood land-use density on housing prices: Evidence from a multilevel hedonic analysis in Seoul, South Korea

Kang, Chang-Deok

doi:10.1177/2399808317721184

Cited by 17 publications

(11 citation statements)

References 44 publications

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“…Examples of studies in which site advantages are directly included are Gao and Asami (2001); Shimizu (2014) and Kang (2017). Gao and Asami (2001) researched the effect of roads and parks around residential houses, while Shimizu (2014) calculated neighborhood environmental variables using GIS.…”

Section: Ijhma 122mentioning

confidence: 99%

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Housing features and rent: estimating the microstructures of rental housing

Nishi

Asami

Shimizu

2019

IJHMA

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Purpose While consumers did not previously have information on detailed housing features via traditional media, such as magazines, nowadays, due to the progress in information technology, they can access detailed information on various housing features via housing information websites. Therefore, detailed housing features may affect current rents to some extent. This paper aims to identify the effects of detailed housing features on rent and on omitted variable bias in Tokyo, Japan. Design/methodology/approach This paper applies the hedonic approach. To identify the effects of features which are not observed previously, we use a unique data set that contains various housing features and over 200,000 housing units. This data set enables to simulate the situations when the researcher cannot get some variables, and this simulation shows which variables cause omitted variable bias. Findings The analysis shows that housing features significantly influence housing rent. If significant housing feature variables are not included in the hedonic model, the estimated coefficients show omitted variable bias. Additionally, unit-specific features such auto-locking door can cause omitted variable bias on location-specific features such accessibility to downtown. Originality/values This paper shows empirical evidence that detailed housing features can cause omitted variable bias on other features including variables which are often used in previous searches. The result from our unique data set can be a guide for variable selection to reduce omitted variable bias.

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Section: Ijhma 122mentioning

confidence: 99%

“…These neighborhood environmental variables improved hedonic models. Kang (2017) calculated some neighborhood variables related to land-use density and compared their effects on rent.…”

Section: Ijhma 122mentioning

confidence: 99%

Housing features and rent: estimating the microstructures of rental housing

Nishi

Asami

Shimizu

2019

IJHMA

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“…Instead of only main arteries, all streets become lively with a permeable neighborhood. In addition, better street centrality and accessibility directly affect housing values in neighborhoods [ 29 ].…”

Section: Literature Reviewmentioning

confidence: 99%

Opening Gated Communities and Neighborhood Accessibility Benefits: The Case of Seoul, Korea

Dogan

Han

Lee

2021

IJERPH

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The level of spatial accessibility is directly related to how street networks are connected. Connected or so-called “permeable” network systems encourage walking, cycling, and riding public transit. Fast urbanization during the recent decades in the world metropolises has created separated urban areas. Gated-style apartment complexes have led this segregation more obviously with their inaccessible internal networks. Opening the internal network of apartment complexes and redesigning the pedestrian paths among apartment buildings will significantly mitigate these networks’ adverse effects on network permeability and increase spatial accessibility. This paper analyzes how such an opening design proposal for apartment complexes can change spatial accessibility using the case study of Mapo-gu, Seoul, Korea. It simulates three types of street networks and compares the results of accessibility in three conditions: (1) the internal networks of apartment complexes are not used by outsiders; (2) the internal networks of apartment complexes are open to outsiders with its existing entrances and path; and (3) the internal networks of sites are opened and redesigned by the Voronoi diagram method, which generates the optimal shortest path. An urban network analysis tool, Rhinoceros three-dimensional software, and Grashopper3D visual programming language have been used for the study results, which shows that a policy change in opening the intra-network of apartment complexes is likely to make the city more permeable. In addition, this study suggests extra modification on the pedestrian path for a higher level of accessibility in neighborhoods.

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“…It has been proved that the influence that typologies and urban morphology have on the energy consumption of the city [13] affecting even their microclimate [13][14][15][16]. The density of use also influences the dwelling price [16,17]. Jabareen has stated that it is now widely accepted that the compactness of the built environment allows for more sustainable urban forms [18].…”

Section: Introductionmentioning

confidence: 99%

Urban Shape and Built Density Metrics through the Analysis of European Urban Fabrics Using Artificial Intelligence

2019

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In recent decades, the concept of urban density has been considered key to the creation of sustainable urban fabrics. However, when it comes to measuring the built density, a difficulty has been observed in defining valid measurement indicators universally. With the intention of identifying the variables that allow the best characterization of the shape of urban fabrics and of obtaining the metrics of their density, a multi-variable analysis methodology from the field of artificial intelligence is proposed. The main objective of this paper was to evaluate the capacity and interest of such a methodology from standard indicators of the built density, measured at various urban scales, (i) to cluster differentiated urban profiles in a robust way by assessing the results statistically, and (ii) to obtain the metrics that characterize them with an identity. As a case study, this methodology was applied to the state of the art European urban fabrics (N = 117) by simultaneously integrating 13 regular parameters to qualify urban shape and density. It was verified that the profiles obtained were more robust than those based on a limited number of indicators, evidencing that the proposed methodology offers operational opportunities in urban management by allowing the comparison of a fabric with the identified profiles.

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Effects of spatial access to neighborhood land-use density on housing prices: Evidence from a multilevel hedonic analysis in Seoul, South Korea

Cited by 17 publications

References 44 publications

Housing features and rent: estimating the microstructures of rental housing

Housing features and rent: estimating the microstructures of rental housing

Opening Gated Communities and Neighborhood Accessibility Benefits: The Case of Seoul, Korea

Urban Shape and Built Density Metrics through the Analysis of European Urban Fabrics Using Artificial Intelligence

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