Optimisation of Infrastructure Location
AbstractThis paper presents a model aimed at finding an efficient allocation of infrastructure investments in a region. The problem's complexity is due, not only to its combinatorial nature, but also due to the intrinsic multidimensional spatio-temporal relationships of its variables. Furthermore, there is no explicit solution for such NP-complete combinatorial optimisation problem; thus a heuristic optimisation technique such as Simulated Annealing is used to search for ”good" solutions in a finite but huge solution space. In this paper, the approach applied in the “Xuzhou Integrated Settlement and Transportation Planning Project", carried out in the People's Republic of China as a joint venture between the Jiangsu Development Planning Commission (JDPC) and the Institute of Regional Development Planning of the University of Stuttgart (IREUS), is to be presented. This study considered projects in 18 realms of infrastructure, in 115 locations of an administrative unit with about 9 million inhabitants. The results of the study suggest a significant gain in allocation efficiency due to the applied method of optimisation. Keywords: Infrastructure location, combinatorial optimisation, Simulated Annealing.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by European Regional Science Association in its series ERSA conference papers with number ersa04p45.
Date of creation: Aug 2004
Date of revision:
Contact details of provider:
Postal: Welthandelsplatz 1, 1020 Vienna, Austria
Web page: http://www.ersa.org
This paper has been announced in the following NEP Reports:
- NEP-ALL-2005-11-09 (All new papers)
- NEP-GEO-2005-11-09 (Economic Geography)
- NEP-URE-2005-11-09 (Urban & Real Estate Economics)
You can help add them by filling out this form.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Gunther Maier).
If references are entirely missing, you can add them using this form.