• DocumentCode
    239568
  • Title

    Geographical Simulation Modeling for evaluating logistics infrastructure: A model for the ASEAN Economic Community

  • Author

    Thiengburanathum, Poon ; Banomyong, Ruth ; Pattamaroj, Krit ; Kumagai, Shinya

  • Author_Institution
    Civil Eng. Dept., Chiang Mai Univ., Chiang Mai, Thailand
  • fYear
    2014
  • fDate
    7-10 Dec. 2014
  • Firstpage
    3308
  • Lastpage
    3318
  • Abstract
    Geographical Simulation Model (GSM) is an alternative decision support system to assess transportation, agglomeration, as well as economic growth behaviour according to logistics infrastructure improvement and development. This simulation model is based on spatial economics and includes seven economic sectors, including manufacturing and non- manufacturing. Traditional impact assessment methods like Computable General Equilibrium (CGE) model are often subject to limitations when providing analyses at the sub-national level. The available routes of highways, railways, and sea and air shipment are incorporated in the GSM model. The transaction cost within regions is modelled as determined by firms´choice to choose the course with the lowest trade costs. It also includes the estimates of some border cost measures such as tariff rates, non-tariff barriers, other border costs, etc. Enhancing ASEAN (the Association of Southeast Asian Nations) Economic Community by improving its infrastructure is used to demonstrate the GSM framework as a decision support system.
  • Keywords
    decision support systems; economics; logistics; transportation; ASEAN Economic Community; Association of Southeast Asian Nations Economic Community; CGE model; GSM framework; GSM model; air shipment; computable general equilibrium model; decision support system; economic growth behaviour; economic sectors; geographical simulation modeling; impact assessment methods; logistics infrastructure development; sea shipment; transaction cost; Atmospheric modeling; Computational modeling; Economic indicators; GSM; Sociology; Statistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Simulation Conference (WSC), 2014 Winter
  • Conference_Location
    Savanah, GA
  • Print_ISBN
    978-1-4799-7484-9
  • Type

    conf

  • DOI
    10.1109/WSC.2014.7020165
  • Filename
    7020165