1# RECORD d8361358e99098ffa7a8408974e7bea4a38e70102# TITLE: Does better accessibility always mean higher house prices?3# YEAR: 2024.0 VENUE: Environment and Planning B Urban Analytics and City Science DOI: 10.1177/239980832412422124# AUTHORS: Xiang Liu; Xiao-Hong Chen; Scott Orford; Mingshu Tian; Guojian Zou5# PAGES: 33 CANDIDATE TABLE PAGES (1-based): []6# ABSTRACT: Numerous studies have explored the correlations between house prices and spatial accessibility, but few have delved into the nonlinearities between both. This study uses Cardiff (UK) as a case study and applies interpretable machine learning algorithms, eXtreme Gradient Boosting (XGBoost) and SHapley Additive exPlanations (SHAP), to estimate the nonlinear effects of geometric locational accessibility and street network accessibility on house prices. The findings suggest (1) proximity to the CBD, typically the major determinant of land values in hedonic house price models, does not continuously yield higher prices; (2) street closeness centrality, a network-modelling approach to measuring accessibility, exhibits a more generalised pattern with house prices compared proximity to the CBD regardless of analytical spatial scales. The findings challenge the generalizability of Alonso’s bid-rent theory in accurately portraying the relationship between accessibility and house prices in specific urban contexts, highlighting the importance of re-evaluating classical urban theories in different city contexts using novel measures and modelling techniques.789===== PAGE 1 (score 2, numeric-paren 0, table-words 0, var-words 2) =====1011 ORCA – Online Research @12Cardiff13This is an Open Access document downloaded from ORCA, Cardiff University's institutional14repository:https://orca.cardiff.ac.uk/id/eprint/167012/15This is the author’s version of a work that was submitted to / accepted for publication.16Citation for final published version:17Liu, Xiang, Chen, Xiaohong, Orford, Scott , Tian, Mingshu and Zou, Guojian 2024. Does better accessibility18always mean higher house price? Environment and Planning B: Urban Analytics and City Science 51 (9) ,19pp. 2179-2195. 10.1177/23998083241242212 20Publishers page: https://doi.org/10.1177/23998083241242212 21Please note: 22Changes made as a result of publishing processes such as copy-editing, formatting and page numbers may23not be reflected in this version. For the definitive version of this publication, please refer to the published24source. You are advised to consult the publisher’s version if you wish to cite this paper.25This version is being made available in accordance with publisher policies. See 26http://orca.cf.ac.uk/policies.html for usage policies. Copyright and moral rights for publications made27available in ORCA are retained by the copyright holders.28