skip to main content
Language:
Search Limited to: Search Limited to: Resource type Show Results with: Show Results with: Search type Index

Residential housing prices: impact of housing characteristics, accessibility and neighbouring apartments - a case study of Dortmund, Germany

Urban, planning and transport research, 2020, Vol.8 (1), p.44-70 [Peer Reviewed Journal]

2019 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. 2019 ;2019 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This work is licensed under the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2165-0020 ;EISSN: 2165-0020 ;DOI: 10.1080/21650020.2019.1704429

Full text available

Citations Cited by
  • Title:
    Residential housing prices: impact of housing characteristics, accessibility and neighbouring apartments - a case study of Dortmund, Germany
  • Author: Wittowsky, Dirk ; Hoekveld, Josje ; Welsch, Janina ; Steier, Michael
  • Subjects: Accessibility ; Apartments ; Dwellings ; Hedonic price model ; Housing ; Housing prices ; Model testing ; public transport ; Public transportation ; Regression analysis ; Regression models ; Walk Score ; Walking
  • Is Part Of: Urban, planning and transport research, 2020, Vol.8 (1), p.44-70
  • Description: In this research we analyse the most important factors that determine housing prices. On the one hand, we test whether neighbourhoods with a good accessibility are more attractive and consequently show higher housing prices. For this purpose, we introduce an adapted Walk Score as part of the accessibility indicators. On the other hand, we compare an ordinary-least-squares regression (OLS) and a spatial lag model and test which model better explains residential housing prices. The regression models show the importance of classical factors such as dwelling characteristics or the types of neighbours. In addition, they also reveal that a differentiated approach is needed for analysing the accessibility, the location and the environment of a dwelling. The mere presence of a single amenity, a public transport stop or a motorway access is not a sufficient explanatory factor. Information such as density of supply, walking distances or public transport service quality needs to be taken into account as well as. The test of the spatial lag model reveals that prices of the most proximate dwellings can be taken into account as a relevant factor in explaining residential housing prices and should therefore be included in research on residential housing prices.
  • Publisher: Macclesfield: Routledge
  • Language: English
  • Identifier: ISSN: 2165-0020
    EISSN: 2165-0020
    DOI: 10.1080/21650020.2019.1704429
  • Source: Taylor & Francis Open Access
    ProQuest Central
    DOAJ Directory of Open Access Journals
Back to results list
INSPIRE LIBRARY - TON DUC THANG UNIVERSITY (84-028) 37 755 057 Feedback
19 Nguyen Huu Tho St. Dist.7, HCM thuvien@tdtu.edu.vn

Copyright © 2017 INSPIRE LIBRARY - TON DUC THANG UNIVERSITY

Searching Remote Databases, Please Wait