A logistic regression model for explaining urban development on the basis of accessibility: a case study of Naples Online publication date: Mon, 13-Apr-2009
by Maria Teresa Borzacchiello, Peter Nijkamp, Henk J. Scholten
International Journal of Environment and Sustainable Development (IJESD), Vol. 8, No. 3/4, 2009
Abstract: In this paper, the authors present a statistical modelling approach in order to explain the presence and development of built-up areas by means of a set of distinct accessibility indicators, so as to use these results in local planning studies, to test urban sustainability measures and to eventually forecast the impact of accessibility to transport systems on urban development. On the basis of encouraging results obtained in a previous study in the Netherlands, the authors apply a multinomial logistic regression, with urban development as the dependent variable and accessibility and context information as independent variables. The statistical model employs two kinds of accessibility measure: simple Euclidean distances, as well as a specific articulated accessibility indicator which takes into account spatial opportunities as well as distances. The results confirm the reliability and robustness of the chosen approach and confirm the limited usefulness of retrieving and deploying complex data to obtain composite indicators.
Online publication date: Mon, 13-Apr-2009
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Environment and Sustainable Development (IJESD):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email email@example.com