Universität zu Köln

Kantakumar, Lakshmi N., Kumar, Shamita and Schneider, Karl ORCID: 0000-0002-4381-2151 (2020). What drives urban growth in Pune? A logistic regression and relative importance analysis perspective. Sust. Cities Soc., 60. AMSTERDAM: ELSEVIER. ISSN 2210-6715

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Abstract

Proactive planning and management of rapidly urbanizing cities using up-to-date spatially explicit datasets is an urgent need. This requires a good understanding of the driving factors responsible for urban growth. Using Pune metropolis as test site, this paper presents an approach to assess the relative importance of urban growth driving factors from inexpensive geospatial datasets with respect to (i) urbanization process, (ii) urban planning (iii) urban growth modelling by utilizing relative importance analysis (RIA) as a supplement to logistic regression. Furthermore, this research proposes a new approach to reduce the parameterization and data requirement of urban growth models. Our research shows, that proximity to essential infrastructure has the highest predictive power in explaining urban growth of Pune. The importance of policy factors increase with time. Our results reveal that RIA is a suitable method, which can assist planners in deeper understanding of the urbanization process and to devise sustainable urban development strategies, utilizing a limited amount of data, which can be easily updated from geospatial datasets. The proposed break point method based on RIA to reduce parameterization of urban models performed at par with the model results achieved with the traditional AIC approach using less than half of the total number of driving factors.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Kantakumar, Lakshmi N. UNSPECIFIED UNSPECIFIED UNSPECIFIED Kumar, Shamita UNSPECIFIED UNSPECIFIED UNSPECIFIED Schneider, Karl UNSPECIFIED orcid.org/0000-0002-4381-2151 UNSPECIFIED
URN:	urn:nbn:de:hbz:38-321778
DOI:	10.1016/j.scs.2020.102269
Journal or Publication Title:	Sust. Cities Soc.
Volume:	60
Date:	2020
Publisher:	ELSEVIER
Place of Publication:	AMSTERDAM
ISSN:	2210-6715
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language LAND-COVER CHANGE; CELLULAR-AUTOMATA; DRIVING FORCES; DETERMINANTS; EXPANSION; INDIA; SPRAWL; GIS; INTEGRATION; SIMULATION Multiple languages Construction & Building Technology; Green & Sustainable Science & Technology; Energy & Fuels Multiple languages
URI:	http://kups.ub.uni-koeln.de/id/eprint/32177