The Risk Management Analysis for the Road Maintenance Cost in Japan with SCGE Model RAEM-Light

Japan is a country with high road density and many natural disasters such as earthquakes and typhoons. This indicates that a risk management of the road networks is a very important issue. Currently, Japan’s decision making system is changing from centralize to decentralize. In the situation, from the risk management viewpoint, it is important to discuss the optimum management system of the road networks to clarify the roles of each local government. The objective of this study is to provide the information about the optimum maintenance cost share among local governments by analyzing the economic loss distribution under the traffic disruption. In this paper, the Spatial Computable General Equilibrium model “RAEM-Light” is applied in order to calculate the economic loss distribution of each road network. This information is then depicted using geographical information systems. The RAEM-Light model has some innovative features. For example, the spatial behaviors of producers and consumers are explicitly described and are endogenously determined by using production and consumption functions. This model also applies a slightly different concept than the traditional Spatial Computable General Equilibrium model in that it does not depend on the input-output data. It is therefore well suited for analyzing detailed areas where official input-output data is not available. In this paper, several scenarios are analyzed by the RAEM-Light model. The results of these scenarios quantify the economic loss distribution under the traffic disruption considered the road characteristics.

Language

  • English

Media Info

  • Media Type: DVD
  • Features: Figures; Maps; References; Tables;
  • Pagination: 23p
  • Monograph Title: TRB 89th Annual Meeting Compendium of Papers DVD

Subject/Index Terms

Filing Info

  • Accession Number: 01151233
  • Record Type: Publication
  • Report/Paper Numbers: 10-2645
  • Files: TRIS, TRB
  • Created Date: Jan 25 2010 11:16AM