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Exploring preference homogeneity and heterogeneity for proximity to urban public services

Lookup NU author(s): Ali Ardeshiri, Emeritus Professor Ken Willis



This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND).


Given that the majority of the world’s population live in urban places, the quality of the urban environment has emerged as an issue of fundamental concern for citizens, academic researchers, and policy makers. This study explores residents’ preferences and valuation of living in proximity to urban amenities in the built environment. The study demonstrates that environmental evaluation techniques can be used as a tool to help relevant decision makers (e.g., urban managers, developers, city officials, planners, realtors and researchers) with policy making, effective decision making and efficient city management procedures. The models indicate how household preference for proximity to urban amenities change as a function of the cost of provision as exemplified by a change (increase or decrease) in annual property tax. The study reports the results for two different models: one which assumes preference homogeneity and the other preference heterogeneity in the sampled population. The results show that older residents and higher educated people are more likely to be willing to pay a higher property tax for having proximity to parks. Middle and low income residents prefer close proximity to bus stops and local shopping centres. This research suggests that a win-win strategy for residents and local government lies in increasing and maintaining residents’ accessibility to urban amenities, and in increasing an urban area’s sustainability.

Publication metadata

Author(s): Ardeshiri A, Willis K, Ardeshiri M

Publication type: Article

Publication status: Published

Journal: Cities

Year: 2018

Volume: 81

Pages: 190-202

Print publication date: 01/11/2018

Online publication date: 02/05/2018

Acceptance date: 21/04/2018

Date deposited: 30/05/2018

ISSN (print): 0264-2751

ISSN (electronic): 1873-6084

Publisher: Elsevier


DOI: 10.1016/j.cities.2018.04.008


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