Relationship Between Transport Accessibility and Land Value: Local Model Approach with Geographically Weighted Regression

Du, Hongbo; Mulley, Corinne

doi:10.3141/1977-25

Cited by 73 publications

(59 citation statements)

References 13 publications

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“…Results indicate that GWR modeling fits the data best and generates residuals that are random. Similar outcomes are reported in a variety of other studies that examine residential property and tax policy issues (Bujanda and Fullerton 2017;Du and Mulley 2006;Legg and Bowe 2009;Löchl and Axhausen 2010).…”

Section: Introductionsupporting

confidence: 78%

Commercial property values in a border metropolitan economy

Fullerton

Bujanda

2017

Asia-Pac J Reg Sci

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Real estate property value analysis is used for municipal taxation and budgeting. Commercial properties make up a large percentage of the property tax base in many, if not most, taxing jurisdictions. Data constraints limit the number of analyses conducted on commercial property value patterns. This study employs a fairly extensive data set to address that problem in the context of El Paso, Texas, a large metropolitan economy located on the United States border with Mexico. The sample contains data for 105,611 commercial real estate parcels. Empirical analysis is conducted using geographically weighted regression analysis. Results confirm that parameter estimation for the commercial property data in this sample should be conducted using methodologies that allow for spatial autocorrelation and heteroscedasticity.

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Section: Introductionsupporting

confidence: 78%

Commercial property values in a border metropolitan economy

Fullerton

Bujanda

2017

Asia-Pac J Reg Sci

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“…Only a few studies have utilised spatial econometrics in property models (see, e.g., Orford, 1999;Du and Mulley, 2006;Bitter et al, 2007;Yu et al, 2007;Mulley, 2014;Dziauddin et al, 2015]. For instance, in a study on residential property values in Milwaukee in the United States, Yu et al [2007] used spatial regression and GWR to investigate the spatial variation of residential property values and found that the two methods produced more accurate and meaningful predictive results than the HPM.…”

mentioning

confidence: 99%

Use of Geographically Weighted Regression (GWR) Method to Estimate the Effects of Location Attributes on the Residential Property Values

Dziauddin

Idris²

2017

IJG

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This study estimates the effect of locational attributes on residential property values in Kuala Lumpur, Malaysia. Geographically weighted regression (GWR) enables the use of the local parameter rather than the global parameter to be estimated, with the results presented in map form. The results of this study reveal that residential property values are mainly determined by the property's physical (structural) attributes, but proximity to locational attributes also contributes marginally. The use of GWR in this study is considered a better approach than other methods to examine the effect of locational attributes on residential property values. GWR has the capability to produce meaningful results in which different locational attributes have differential spatial effects across a geographical area on residential property values. This method has the ability to determine the factors on which premiums depend, and in turn it can assist the government in taxation matters. Abstrak Studi ini memperkirakan pengaruh atribut lokasi terhadap nilai properti residensial di Kuala Lumpur, Malaysia. Regresi berbobot secara geografis (GWR) diperkirakan memungkinkan penggunaan parameter lokal daripada parameter global , dengan hasil disajikan dalam bentuk peta. Hasil penelitian ini mengungkapkan bahwa nilai properti residensial terutama ditentukan oleh atribut fisik (struktural) properti, namun kedekatan dengan atribut lokasional juga berkontribusi

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“…Subsequently, the number of destinations accessible in the time given or with the adopted cost is calculated (Spiekermann and Neubauer, 2002). Other examples of research into daily accessibility: Törnquist (1970), Schürmann et al (1997), Spiekermann and Wegener (1996), Vickerman et al (1999), O'Sullivan et al (2000), Gutiérrez (2001), Martin et al (2004), Du and Mulley (2006), Preston and Raje (2007), Biosca et al (2013), Ford et al (2015), Śleszyński (2017).…”

Section: Data Used and Methods Appliedmentioning

confidence: 99%

The use of network analysis in the process of delimitation as exemplifi ed by the administrative division of Poland

Borowska-Stefańska

Wiśniewski

2017

Geodesy and Cartography

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Abstract:The cognitive aim of this study is to point to the optimum number of local government units and the optimum boundaries of spatial units in Poland with the assumption of minimizing the cumulated theoretical travel time to all settlement units in the country. The methodological aim, in turn, is to present the use of the ArcGIS location-allocation tool for the purposes of delimitation processes as exemplifi ed by administrative boundaries in Poland. The rationale for the implementation of this study is that number and the boundaries of units of all levels of Poland's current territorial division are far from optimum in the light of minimization of accumulated theoretical travel time to all settlement units in the country. It may be concluded that it would be justifi able to increase the number of voivodships from the current number of 16 to 18. Besides it would be necessary to introduce modifi cations in relation to units with regional functions. In contrast, the number of districts and communes should be reduced. A continuation of this research may go in the direction of including analysis of public transport network in the research, creating in this way a multimodal set of network data. This would illustrate, apart from the potential itself resulting from the infrastructure, also the actually existing connections.

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Relationship Between Transport Accessibility and Land Value: Local Model Approach with Geographically Weighted Regression

Cited by 73 publications

References 13 publications

Commercial property values in a border metropolitan economy

Commercial property values in a border metropolitan economy

Use of Geographically Weighted Regression (GWR) Method to Estimate the Effects of Location Attributes on the Residential Property Values

The use of network analysis in the process of delimitation as exemplifi ed by the administrative division of Poland

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