License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.GIScience.2023.46
URN: urn:nbn:de:0030-drops-189415
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2023/18941/
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Le, Thuy Phuong ; Comber, Alexis ; Tran, Binh Quoc ; Hoang, Phe Huu ; Man, Huy Quang ; Nguyen, Linh Xuan ; Le Pham, Tuan ; Bui, Tu Ngoc

Status Poles and Status Zoning to Model Residential Land Prices: Status-Quality Trade off Theory (Short Paper)

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Abstract

This study describes an approach for augmenting urban residential preference and hedonic house price models by incorporating Status-Quality Trade Off theory (SQTO). SQTO seeks explain the dynamic of urban structure using a multipolar, in which the location and strength of poles is driven by notions of residential status and dwelling quality. This paper presents in outline an approach for identifying status poles and for quantifying their effect on land and residential property prices. The results show how the incorporation of SQTO results in an enhanced understanding of variations in land / property process with increased spatial nuance. A number of future research areas are identified related to the status pole weights and the development of status pole index.

BibTeX - Entry

@InProceedings{le_et_al:LIPIcs.GIScience.2023.46,
  author =	{Le, Thuy Phuong and Comber, Alexis and Tran, Binh Quoc and Hoang, Phe Huu and Man, Huy Quang and Nguyen, Linh Xuan and Le Pham, Tuan and Bui, Tu Ngoc},
  title =	{{Status Poles and Status Zoning to Model Residential Land Prices: Status-Quality Trade off Theory}},
  booktitle =	{12th International Conference on Geographic Information Science (GIScience 2023)},
  pages =	{46:1--46:6},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-288-4},
  ISSN =	{1868-8969},
  year =	{2023},
  volume =	{277},
  editor =	{Beecham, Roger and Long, Jed A. and Smith, Dianna and Zhao, Qunshan and Wise, Sarah},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2023/18941},
  URN =		{urn:nbn:de:0030-drops-189415},
  doi =		{10.4230/LIPIcs.GIScience.2023.46},
  annote =	{Keywords: spatial theory, house prices}
}

Keywords: spatial theory, house prices
Collection: 12th International Conference on Geographic Information Science (GIScience 2023)
Issue Date: 2023
Date of publication: 07.09.2023

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