Skip to main content
Log in

Application of network theory and AHP in urban transportation to minimize earthquake damages

  • Case-oriented Paper
  • Published:
Journal of the Operational Research Society

Abstract

Network theory and Saaty's analytic heirarchy process (AHP) are considered to be effective methods for estimating a city's traffic pattern during the emergency period of an earthquake, and for evaluating the urban transportation network of that city. A graph is created in which the nodes are land uses (or a group of land uses), crossroads or junctions represent the city, and the arcs are the streets. AHP is used to determine the priority of trips, and shortest path techniques identify the fastest routes for daily trips, and the safest ones during earthquakes. A pareto diagram then shows those streets that play an important role in satisfying both criteria. On the basis of the trip patterns obtained, the accessibility of a city may be estimated. This methodology helps to identify the weak points of the transportation network after an earthquake. However, it can also be used to analyse plans for the expansion of existing cities. The methodology was employed in the city of Rasht after the devastating earthquake in northern Iran in 1990.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to B Zarei.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Modarres, M., Zarei, B. Application of network theory and AHP in urban transportation to minimize earthquake damages. J Oper Res Soc 53, 1308–1316 (2002). https://doi.org/10.1057/palgrave.jors.2601470

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1057/palgrave.jors.2601470

Keywords

Navigation