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Economic impacts of transportation network changes: Implementation of a combined transportation network and input-output model


  • Heejoo Ham

    () (URS Corporation, 1400 Union Meeting Road, Suite 202, Blue Bell, PA 19422, USA)

  • Tschangho John Kim

    () (University of Illinois at Urbana-Champaign, Department of Urban and Regional Planning, 111 TB Hall, 611 E. Lorado Tafa Drive, Champaign, IL 61820, USA)

  • David E. Boyce

    () (University of Illinois at Chicago, Department of Civil and Materials Engineering, West Taylor Street 842, Chicago, IL 60607-7023, USA)


This article estimates and evaluates the economic impacts from a catastrophic earthquake within regional and national contexts, emphasising the inter-industry relationship in conjunction with regional commodity flows and the assessment of seismic damages on a transportation network. The analytical methods employed are twofold: a multi-regional input-output model and a regional commodity flow model. Using the above analytical framework, the economic impacts from a catastrophic earthquake are estimated and evaluated based on hypothetical scenarios of the event, by analysing the magnitude and extent of direct and indirect impacts. Furthermore, as possible extensions, the models developed here can be used as tools for strategic management of the recovery and reconstruction efforts after the event.

Suggested Citation

  • Heejoo Ham & Tschangho John Kim & David E. Boyce, 2002. "Economic impacts of transportation network changes: Implementation of a combined transportation network and input-output model," Papers in Regional Science, Springer;Regional Science Association International, vol. 81(2), pages 223-246.
  • Handle: RePEc:spr:presci:v:81:y:2002:i:2:p:223-246
    Note: Received: 24 September 2000

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    Cited by:

    1. Ichihara, Silvio Massaru & Guilhoto, Joaquim José Martins & Imori, Denise, 2009. "Combining geoprocessing and interregional input-output systems: An application to the State of São Paulo in Brazil," MPRA Paper 30696, University Library of Munich, Germany.
    2. Samiul Hasan & Greg Foliente, 2015. "Modeling infrastructure system interdependencies and socioeconomic impacts of failure in extreme events: emerging R&D challenges," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 78(3), pages 2143-2168, September.
    3. Danczyk, Adam & Di, Xuan & Liu, Henry X. & Levinson, David M., 2017. "Unexpected versus expected network disruption: Effects on travel behavior," Transport Policy, Elsevier, vol. 57(C), pages 68-78.
    4. Giuseppe Francesco Gori & Renato Paniccià, 2015. "A structural multisectoral model with new economic geography linkages for Tuscany," Papers in Regional Science, Wiley Blackwell, vol. 94, pages 175-196, November.
    5. Özdamar, Linet & Tüzün Aksu, Dilek & Ergüneş, Biket, 2014. "Coordinating debris cleanup operations in post disaster road networks," Socio-Economic Planning Sciences, Elsevier, vol. 48(4), pages 249-262.
    6. Leurent, Fabien & Windisch, Elisabeth, 2015. "Benefits and costs of electric vehicles for the public finances: An integrated valuation model based on input–output analysis, with application to France," Research in Transportation Economics, Elsevier, vol. 50(C), pages 51-62.
    7. Tuzun Aksu, Dilek & Ozdamar, Linet, 2014. "A mathematical model for post-disaster road restoration: Enabling accessibility and evacuation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 61(C), pages 56-67.
    8. Ham, Heejoo & Kim, Tschangho John & Boyce, David, 2005. "Assessment of economic impacts from unexpected events with an interregional commodity flow and multimodal transportation network model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(10), pages 849-860, December.
    9. JoongKoo Cho & Peter Gordon & James E. Moore II & Qisheng Pan & JiYoung Park & Harry W. Richardson, 2014. "TransNIEMO: Economic Impact Analysis Using a Model of Consistent Interregional Economic and Network Equilibria," CESifo Working Paper Series 4601, CESifo Group Munich.
    10. Alan T. Murray & Timothy C. Matisziw & Tony H. Grubesic, 2008. "A Methodological Overview of Network Vulnerability Analysis," Growth and Change, Wiley Blackwell, vol. 39(4), pages 573-592.
    11. Sohn, Jungyul, 2006. "Evaluating the significance of highway network links under the flood damage: An accessibility approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(6), pages 491-506, July.
    12. repec:eee:retrec:v:61:y:2017:i:c:p:44-55 is not listed on IDEAS
    13. Jenelius, Erik & Mattsson, Lars-Göran, 2012. "Road network vulnerability analysis of area-covering disruptions: A grid-based approach with case study," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(5), pages 746-760.
    14. Ham, Heejoo & Kim, Tschangho John & Boyce, David, 2005. "Implementation and estimation of a combined model of interregional, multimodal commodity shipments and transportation network flows," Transportation Research Part B: Methodological, Elsevier, vol. 39(1), pages 65-79, January.

    More about this item


    Economic impacts of transportation changes; transportation network changes; input-output analysis; earthquake impacts on transportation costs;

    JEL classification:

    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise
    • R53 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - Public Facility Location Analysis; Public Investment and Capital Stock


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