Spatial choice behaviour: logit models and neural network analysis

Peter Nijkamp, Tommaso Tritapepe and Aura Reggiani ()
Additional contact information
Tommaso Tritapepe: Department of Economics, University of Bologna, Piazza Scaravilli 2, I-40126 Bologna, Italy

The Annals of Regional Science, 1997, vol. 31, issue 4, 429 pages

Abstract: Neural networks are becoming popular analysis tools in spatial research, as is witnessed by various applications in recent years. The performance of neural network analysis needs to be carefully judged, however, since the theoretical underpinning of neuro-computing is still weakly enveloped. In the present paper we will use the logit model as a benchmark for evaluating the result of neural network models, based on an empirical case study from Italy. The present paper aims to assess the foreseeable impact of the high-speed train in Italy, by investigating competition effects between rail and road transport modes. Two statistical models will then be compared, viz. the traditional logit model and a new technique for information processing, viz. the feedforward neural network model. In the study two different cases - corresponding to a different set of attributes - are investigated, namely by using only `time' attributes and by using both `time' and `cost' attributes. From an economic viewpoint, both models appear to highlight the advantage of introducing the high-speed train system in that they show high probabilities of choosing the improved rail transport mode. The feedforward neural net model seems to provide reasonable predictions compared to those obtained by means of a logit model. An important lesson however, is that it is important to define properly the neural network architecture and to train sufficiently the network during the learning phase.

Date: 1997-09-26
Note: Received: June 1996 / Accepted: February 1997
References: Add references at CitEc
Citations: View citations in EconPapers (5)

Downloads: (external link)
http://link.springer.de/link/service/journals/00168/papers/7031004/70310411.pdf (application/pdf)
http://link.springer.de/link/service/journals/0016 ... 31004/70310411.ps.gz (application/postscript)
Access to the full text of the articles in this series is restricted

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:anresc:v:31:y:1997:i:4:p:411-429

Ordering information: This journal article can be ordered from
http://link.springer.com/journal/168

Access Statistics for this article

The Annals of Regional Science is currently edited by Martin Andersson, E. Kim and Janet E. Kohlhase

More articles in The Annals of Regional Science from Springer, Western Regional Science Association Contact information at EDIRC.
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().