Are Walkable Neighborhoods More Resilient to the Foreclosure Spillover Effects?

Won, Jaewoong; Lee, Chanam; Li, Wei

doi:10.1177/0739456x17702443

Cited by 9 publications

(4 citation statements)

References 52 publications

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“…The study and the observation of the raster maps has brought to light critical morphological aspects that can be corrected in order to design a more resilient environment, which can contemplate solutions attentive to individual specificities by enhancing the use of the roads as a public space [75]. Moreover, the value of the maps does not only concern morphological aspects, but also allows to highlight sociological elements.…”

Section: Discussionmentioning

confidence: 99%

Supporting Resilient Urban Planning through Walkability Assessment

Abastante¹,

Lami²,

Riccia³

et al. 2020

Sustainability

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The urban planning and evaluation literature suggests that making a walkable city means creating a resilient and healthy city. In recent years, alternative mobility has been the subject of numerous studies, showing that the concept of urban walkability can be used as an additional support in planning resilient cities. Though researchers agree that walkability assessment has a positive impact on public space planning, it is still difficult to include the topic in planning strategies because of its novelty in the scientific debate. This paper will first review the literature on walkability assessment and then propose a multi-methodological assessment framework that fills the gaps in existing assessment methods. The multi-methodological assessment framework contributes to overcoming the idea that objective and subjective aspects are “not part of the same planning project.” Thanks to its combination of hard and soft methods, the assessment framework illustrated in this paper can consider physical and perceptual aspects simultaneously and represent them visually using Geographic Information Systems (GIS). It can thus provide easily readable results that can be applied in establishing guidelines for planning resilient cities.

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Section: Discussionmentioning

confidence: 99%

Supporting Resilient Urban Planning through Walkability Assessment

Abastante¹,

Lami²,

Riccia³

et al. 2020

Sustainability

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show abstract

“…A number of studies have found that individuals are willing to pay a premium price to purchase housing in walkable neighborhoods (Gilderbloom et al, 2015;Hu et al, 2014b;Rauterkus & Miller, 2011;Yencha, 2019). Furthermore, walkable neighborhoods are considered more resilient during economic downturns, which allows them to retain more value compared to non-walkable neighborhoods (Won et al, 2018;Xu et al, 2018).…”

Section: Green Theory: Pollution and Walkabilitymentioning

confidence: 99%

How inter-city rents are shaped by health considerations of pollution and walkability: A study of 146 mid-sized cities

Gilderbloom

Meares

2020

Journal of Urban Affairs

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The purpose of this study is to better understand the factors that shape variations in rent across midsize cities in the U.S. We empirically test several theories (economic, sociological, and green theory) to discover what is explaining these differences. Our approach compares 146 semi-isolated, medium-sized U.S. cities and regresses economic, green and social characteristics on the monthly median contract rent. Our results show weaknesses in the economic and sociological explanations with green characteristics adding greater explanatory power to what shapes inter-city rent differentials. Our results indicate that cities that are considered walkable and have lower pollution levels tend to have statistically significant higher rents-a finding which has implications for understanding rent variations and for planners and citizen groups who pursue more livable places. During an era of the great pandemic/COVID-19 health crisis, we believe that citizens will pay more rent for cities that are more walkable and have less pollution.

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“…Previous research also found that land price leads to more volatile trends in the real estate market compared with housing price [17,18], and different factors determine land and improvement components [19]. The extensive hedonic price literature has shown housing prices are a function of various factors ranging from structural (e.g., built year, lot size, and number of rooms) and financial characteristics (e.g., foreclosed status) to neighborhood (e.g., socioeconomic, safety, built environments) characteristics [20,21]. Land price has long relied on monocentric models mainly explained by accessibility (e.g., distance to the central business district) and land use density as essential concepts in land economic theories [22,23].…”

Section: Introductionmentioning

confidence: 99%

Machine-Learning-Based Prediction of Land Prices in Seoul, South Korea

Kim¹,

Won

Kim³

et al. 2021

Sustainability

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The accurate estimation of real estate value helps the development of real estate policies that can respond to the complexities and instability of the real estate market. Previously, statistical methods were used to estimate real estate value, but machine learning methods have gained popularity because their predictions are more accurate. In contrast to existing studies that use various machine learning methods to estimate the transactions or list prices of real estate properties without separating the building and land prices, this study estimates land price using a large amount of land-use information obtained from various land- and building-related datasets. The random forest and XGBoost methods were used to estimate 52,900 land prices in Seoul, South Korea, from January 2017 to December 2020. The models were also separately trained for different land uses and different time periods. Overall, the results revealed that XGBoost yields a higher prediction accuracy. Whereas the XGBoost models were more accurate on the 2020 data than on the 2017–2020 data when analyzing residential areas, the random forest models were more accurate on the 2017–2020 data than on the 2020 data. Further analysis will extend the prediction model to consider submarkets determined by price volatility and locality.

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Are Walkable Neighborhoods More Resilient to the Foreclosure Spillover Effects?

Cited by 9 publications

References 52 publications

Supporting Resilient Urban Planning through Walkability Assessment

Supporting Resilient Urban Planning through Walkability Assessment

How inter-city rents are shaped by health considerations of pollution and walkability: A study of 146 mid-sized cities

Machine-Learning-Based Prediction of Land Prices in Seoul, South Korea

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