The nonlinear effect of convenience stores on residential property prices: A case study of Taipei, Taiwan

Chiang, Ying-Hui; Peng, Ti-Ching; Chang, Chin‐Oh

doi:10.1016/j.habitatint.2014.10.017

Cited by 51 publications

(25 citation statements)

References 40 publications

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“…Many studies have emphasized the importance of planning for urban contexts, rather than just focusing on accessibility itself (Tsou & Cheng, 2013). Also, the Taiwan case confirmed that a higher density and availability of convenience stores has conferred premiums on low housing prices, while having negative effects on higher housing prices (Chiang, Peng, & Chang, 2015).…”

Section: Accessibility and Housing Valuesmentioning

confidence: 85%

Retail accessibility and proximity effects on housing prices in Seoul, Korea: A retail type and housing submarket approach

Jang

Kang

2015

Habitat International

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Section: Accessibility and Housing Valuesmentioning

confidence: 85%

Retail accessibility and proximity effects on housing prices in Seoul, Korea: A retail type and housing submarket approach

Jang

Kang

2015

Habitat International

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“…The vital role that public transit plays can also be extended to suburban regions, where the housing units located within the transit-oriented development zones are priced much higher than the units further away [29]. In addition, property value increases due to other retail amenities, such as convenience stores, supermarkets, and drugstores that cater to nearby residents [11,12,16]. In this regard, exploring the effect of price determinants, especially accessibility to public transit and retail amenities, is a fundamental step towards understanding the Chinese housing market.…”

Section: Housing Development and Data Issues In Chinamentioning

confidence: 99%

Exploring Determinants of Housing Prices in Beijing: An Enhanced Hedonic Regression with Open Access POI Data

Ying

Chen

et al. 2017

IJGI

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Abstract:The housing market in Chinese metropolises have become inflated significantly over the last decade. In addition to an economic upturn and housing policies that have potentially fueled the real estate bubble, factors that have contributed to the spatial heterogeneity of housing prices can be dictated by the amenity value in the proximity of communities, such as accessibility to business centers and transportation hubs. In the past, scholars have employed the hedonic pricing model to quantify the amenity value in relation to structural, locational, and environmental variables. These studies, however, are limited by two methodological obstacles that are relatively difficult to overcome. The first pertains to difficulty of data collection in regions where geospatial datasets are strictly controlled and limited. The second refers to the spatial autocorrelation effect inherent in the hedonic analysis. Using Beijing, China as a case study, we addressed these two issues by (1) collecting residential housing and urban amenity data in terms of Points of Interest (POIs) through web-crawling on open access platforms; and (2) eliminating the spatial autocorrelation effect using the Eigenvector Spatial Filtering (ESF) method. The results showed that the effects of nearby amenities on housing prices are mixed. In other words, while proximity to certain amenities, such as convenient parking, was positively correlated with housing prices, other amenity variables, such as supermarkets, showed negative correlations. This mixed finding is further discussed in relation to community planning strategies in Beijing. This paper provides an example of employing open access datasets to analyze the determinants of housing prices. Results derived from the model can offer insights into the reasons for housing segmentation in Chinese cities, eventually helping to formulate effective urban planning strategies and equitable housing policies.

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“…The retail and services are an important factor behind urban development, and generally accessibility to services and shops increase residential satisfaction and decrease household overall commuting costs and time (Glaeser, Kolko, & Saiz, 2001). Despite potential negative externalities most studies found that the accessibility of convenience stores as well as public services in most cases has a positive impact on house prices (Chiang, Peng, & Chang, 2015;Jang & Kang, 2015;Koster & Rouwendal, 2012;Song & Sohn, 2007).…”

Section: Externalities and Real Estate Valuementioning

confidence: 99%

Externalities and House Prices: A Stated Preferences Approach

Głuszak¹

2018

EBER

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The nonlinear effect of convenience stores on residential property prices: A case study of Taipei, Taiwan

Cited by 51 publications

References 40 publications

Retail accessibility and proximity effects on housing prices in Seoul, Korea: A retail type and housing submarket approach

Retail accessibility and proximity effects on housing prices in Seoul, Korea: A retail type and housing submarket approach

Exploring Determinants of Housing Prices in Beijing: An Enhanced Hedonic Regression with Open Access POI Data

Externalities and House Prices: A Stated Preferences Approach

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