Impact of a Vicinity of Airport on the Prices of Single-Family Houses with the Use of Geospatial Analysis

Cellmer, Radosław; Bełej, Mirosław; Konowalczuk, Jan

doi:10.3390/ijgi8110471

Cited by 13 publications

(11 citation statements)

References 25 publications

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“…In addition, the location in LUA, the increase in distance from the city center, urban green areas, and lakes negatively impacted the apartment's price. This supports the findings of earlier studies in Poland [56][57][58][59][60][61][62][63]. The differences in parameter values between OLS and QR models were small.…”

Section: Price Modelling and Mappingsupporting

confidence: 90%

Towards Increasing Residential Market Transparency: Mapping Local Housing Prices and Dynamics

Cellmer

Trojanek

2019

IJGI

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This article attempts to use spatial maps as a way of presenting additional information about the phenomena occurring in the housing market. In our opinion, spatial maps may facilitate understanding and provide more detailed information, which undoubtedly should increase the transparency of the housing market. The study used 12,219 transactions of apartments in Poznań in the years 2013–2017. General principles of price visualization activity and housing market dynamics were established in this study. The map of prices may reflect the location values determined by the quality of the urban infrastructure, distance from specific locations, and environmental factors. Market activity maps reveal areas where the market is dynamically developing, while information on trends in the number of transactions and price changes may demonstrate the growing or declining attractiveness of areas. The research is based on a model of hedonic regression in the form of ordinary least squares (OLS), quantile regression (QR), and geographically weighted regression (GWR). The maps presented should increase the transparency of the residential market (e.g., by providing more detailed information). However, one should bear in mind the limitations in the use of these methods resulting from a small number of transactions in a thin market.

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Section: Price Modelling and Mappingsupporting

confidence: 90%

Towards Increasing Residential Market Transparency: Mapping Local Housing Prices and Dynamics

Cellmer

Trojanek

2019

IJGI

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“…This impact limit is determined by the limited use areas around the airports in Gdańsk and Warsaw. The conducted research is an extension and supplementation of the results of analyses conducted by Cellmer et al [32]. First of all, the adoption of two airports for analysis allowed to compare and confront the results and to draw more universal conclusions.…”

Section: Remarks and Conclusionmentioning

confidence: 97%

“…Eventually, apart from the single-family houses price (PRICE) and the date of sale (DATE), the eight explanatory variables were adopted, including the distance from the runway in kilometers and a dummy variable denoting the in-LUA location. Concerning our previous research [32], the real estate sales transactions were verified for their suitability for analysis following the standards applicable to real estate valuation (mainly to investigate the market character of the transaction). The LS (location quality with four-grade assessment) variable was then removed from the database and the LUA (location outside or inside of limited use area) variable was quantified in binary form (dummy variable).…”

Section: Data Descriptionmentioning

confidence: 99%

“…Additionally, in the same article, detailed spatial analyses were carried out concerning the spatial distribution of real estate prices in the vicinity of the airport in Warsaw (Poland). The current article represents the development of our previous [32] with a comparison of time series models and spatial models to the Gdańsk Lech Walesa Airport and Warsaw Chopin Airport in Poland. We also modified the database, standardized the data, introduced new research methods, and presented a much broader context of the problem and its importance for sustainable development.…”

Section: Introductionmentioning

confidence: 99%

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The Impact of Airport Proximity on Single-Family House Prices—Evidence from Poland

2020

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Airports in Poland are obliged to observe the sustainable development principle and therefore to reduce their environmental impact by creating so-called limited use areas (LUA) related to aircraft-generated noise. The research authors analyzed airports’ impact on the prices of single-family homes located in the vicinity of airports. The LUA is therefore defined as the area designated to study the airport’s specific impact on the single-family housing market. This is a formal limit which determines the examination of price changes and the decision-making conditions of market participants. This methodical approach is justified because no excessive noise is expected outside the LUA. Therefore, two markets in the vicinity of airports were examined. One is in an LUA which is closer to the airport, and the other market is outside the LUA where external noise effects are not present. Thus, we consider that real estate located outside the LUA is not subject to a significant negative impact from the airport. The study covered the Gdańsk Lech Walesa Airport and the Warsaw Chopin Airport in Poland in adjacent areas with the research time horizon of 2013–2017. The study examined single-family house prices. We used a time series analysis, a classic multiple regression model, a spatial autoregressive model, and geographically weighted regression models in our research. Additionally, Geographical Information System (GIS) tools were used to visualize the results of our study. The research result was to demonstrate different impact levels of airports on the prices of single-family houses located in limited-use areas in Gdańsk and Warsaw. This research carries significant implications for the general public and airports’ economic decisions in resolving conflicts between the airport and residential property owners in airports’ vicinities.

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“…Following our literature review of various housing market factors that affect the final price of a property (Liu et al, 2020;Bernstein and Mellon, 2013;Nappi-Choulet and Maury, 2011;Sun and Tsang, 2018;Wilson et al, 2011;Abelairas-Etxebarria and Astorkiza, 2020;Stover, 1986;Łaszek, 2011;Lund, 2014;Ranci, Brandsen, and Sabatinelli, 2014;Rącka, Palicki, and Kostov, 2015;Dziauddin, Ismail, and Othman 2015;Cellmer, Bełej, and Konowalczuk, 2019;Mach and Rącka, 2018;Dziauddin, Ismail, and Othman, 2015;Kazak, Chruściński, and Szewrański, 2018;Batóg et al, 2019;Cellmer and Trojanek, 2020;Kempa et al, 2015;Mora-Garcia et al, 2019;Isaac, 2002), the study author has proposed a classification, based on seven separate groups of factors as follows (Table 1). Defining sustainable city development is difficult and consequently many definitions for it exist.…”

Section: Introductionmentioning

confidence: 99%

Drivers of Subregional Housing Markets in Poland

Rącka¹

2021

ERSJ

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Purpose:The paper investigates how sustainable city development factors impact housing price levels in subregional cities, on basis of 14 thousand real transactions in three Polish cities in the years 2006-2014. Design/Methodology/Approach: The multiple regression analysis with hedonic approach was used. Findings: The three-equation model has proven that economic development factors affect housing price levels in subregional cities while social progress and environmental responsibility do not always explain the change in the housing prices. Additionally the analysis of data allowed to conclude that the smaller the local market is, the more it is responsive to changes in external conditions. Practical implications: The housing market in subregional cities is different to big cities, prices change slower and do not respond to changes in the macro-environment factors as quickly and strongly as in large cities. Moreover, the situation on the local housing markets depends largely on the scale of sustainable development of the city. The study outcomes can be readily used to help more accurately plan housing investments for real estate developers or planning authorities responsible for housing policy. Originality/ value:We indicated what types of sustainable development factors affect the level of housing prices in subregional cities.

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Impact of a Vicinity of Airport on the Prices of Single-Family Houses with the Use of Geospatial Analysis

Cited by 13 publications

References 25 publications

Towards Increasing Residential Market Transparency: Mapping Local Housing Prices and Dynamics

Towards Increasing Residential Market Transparency: Mapping Local Housing Prices and Dynamics

The Impact of Airport Proximity on Single-Family House Prices—Evidence from Poland

Drivers of Subregional Housing Markets in Poland

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