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Spatial Analysis on Future Housing Markets: Economic Development and Housing Implications
A coupled projection method combining formal modelling and other statistical techniques was developed to delineate the relationship between economic and social drivers for net new housing allocations. Using the example of employment growth in Tyne and Wear, UK, until 2016, the empirical analysis yie...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4032766/ https://www.ncbi.nlm.nih.gov/pubmed/24892097 http://dx.doi.org/10.1155/2014/838021 |
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author | Liu, Xin Wang, Lizhe |
author_facet | Liu, Xin Wang, Lizhe |
author_sort | Liu, Xin |
collection | PubMed |
description | A coupled projection method combining formal modelling and other statistical techniques was developed to delineate the relationship between economic and social drivers for net new housing allocations. Using the example of employment growth in Tyne and Wear, UK, until 2016, the empirical analysis yields housing projections at the macro- and microspatial levels (e.g., region to subregion to elected ward levels). The results have important implications for the strategic planning of locations for housing and employment, demonstrating both intuitively and quantitatively how local economic developments affect housing demand. |
format | Online Article Text |
id | pubmed-4032766 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-40327662014-06-02 Spatial Analysis on Future Housing Markets: Economic Development and Housing Implications Liu, Xin Wang, Lizhe ScientificWorldJournal Research Article A coupled projection method combining formal modelling and other statistical techniques was developed to delineate the relationship between economic and social drivers for net new housing allocations. Using the example of employment growth in Tyne and Wear, UK, until 2016, the empirical analysis yields housing projections at the macro- and microspatial levels (e.g., region to subregion to elected ward levels). The results have important implications for the strategic planning of locations for housing and employment, demonstrating both intuitively and quantitatively how local economic developments affect housing demand. Hindawi Publishing Corporation 2014 2014-04-16 /pmc/articles/PMC4032766/ /pubmed/24892097 http://dx.doi.org/10.1155/2014/838021 Text en Copyright © 2014 X. Liu and L. Wang. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Liu, Xin Wang, Lizhe Spatial Analysis on Future Housing Markets: Economic Development and Housing Implications |
title | Spatial Analysis on Future Housing Markets: Economic Development and Housing Implications |
title_full | Spatial Analysis on Future Housing Markets: Economic Development and Housing Implications |
title_fullStr | Spatial Analysis on Future Housing Markets: Economic Development and Housing Implications |
title_full_unstemmed | Spatial Analysis on Future Housing Markets: Economic Development and Housing Implications |
title_short | Spatial Analysis on Future Housing Markets: Economic Development and Housing Implications |
title_sort | spatial analysis on future housing markets: economic development and housing implications |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4032766/ https://www.ncbi.nlm.nih.gov/pubmed/24892097 http://dx.doi.org/10.1155/2014/838021 |
work_keys_str_mv | AT liuxin spatialanalysisonfuturehousingmarketseconomicdevelopmentandhousingimplications AT wanglizhe spatialanalysisonfuturehousingmarketseconomicdevelopmentandhousingimplications |