Business Intelligence for Road Network Vulnerability Assessment

Main Article Content

Jassada Pumjun
Suree Funilkul
Wichian Chutimaskul
Kitti Subprasom

Abstract

- At present, a series of road network disruption, being caused by various kinds of events such as natural disasters, and human errors act of human intention, frequently take place around the globe and create a direct impact to all mankind. Configuration has, therefore, played a critical role to the road system planning. In order to initiate the road network vulnerability analysis, it requires all involved parties to have a visibility in accessing all the relevant factors that can create severe impact on the road network at what level. By possessing such valued data, all person-in-charge, then, will be able to identify preventive actions and corrective actions practically. Without any doubts, vulnerability of road network has become one of the precious factors to be counted when it comes down to the road planning process. Attached with this particular research, vulnerability of road network is measured in many different ways and will be taken into consideration as one of the beneficial factor for road planning process. The “significance” of certain road (s) in surface transport network will be named since the vulnerability of road network will identify which traffic link (s) and/or line (s) are cut off, temporarily shut down or severely damaged. The vulnerability measurements are presented and elaborated in graph and GIS.

Article Details

How to Cite
[1]
J. Pumjun, S. Funilkul, W. Chutimaskul, and K. Subprasom, “Business Intelligence for Road Network Vulnerability Assessment”, JIST, vol. 2, no. 2, pp. 30–44, Dec. 2011.
Section
Research Article: Soft Computing (Detail in Scope of Journal)

References

1. Abrahamsson, T., 1997. Characterization of vulnerability in the road transport system. Working Report TRITA-IP AR 97-53, Department of Infrastructure and Planning,KTH, Stockholm (in Swedish).

2. Asakura, Y. 1999. Evaluation of network reliability using stochastic user equilibrium. Journal of Advanced Transportation 33 (2), pp.147-158.

3. Bell, M.G.H. and Y. Iida. 1997. Transportation Network Analysis. Chichester: John Wiley and Sons.

4. Bell, M.G.H.and C. Cassir (eds.). 2000. Reliability of Transport Networks. Baldock, Herts: Research Studies Press. Transport Network Vulnerability 29.

5. Berdica, K., 2002a. An introduction to road vulnerability: what has been done, is done and should be done. Transport Policy 9, 117–127.

6. Chen, A., Yang, H., Lo, H.K. and Tang, W.H. 1999. A capacity related reliability for transportation networks. Journal of Advanced Transportation 33 (2), 183- 200.

7. Chen, A., Yang, H., Lo, H.K., Tang, W.H., 2002. Capacity reliability of a road network: an assessment methodology and numerical results. Transportation Research Part B 36 (3), 225–252.

8. Chang, S.E. 2000. “Disasters and Transport Systems: Loss, Recovery, and Competition at the Port of Kobe after the 1995 Earthquake,” Journal of Transport Geography, Vol.8, No.1, pp.53-65.

9. Dijkstra, E.W. 1959. “A note on two problems in connection with graphs.” Numerical Mathematics 1: 269-271.

10. Department Of Highway. 2008. Prefeasibility Study and Initial Envirronment Examination for Executive Summary Report,70-71.

11. FHWA. 1983. “Seismic Retrofitting Guidelines for Highway Bridges.” Report FWHA/RD83/007.

12. Hansen, W.G. 1959. How accessibility shapes land use. Journal of the American Institute of Planners 25, 73-76.

13. Husdal, J. 2004. Reliability and vulnerability versus costs and benefits. 2nd International Symposium on Transportation Network Reliability (INSTR2004): New Zealand.

14. Holmgren,A ° ., 2004. Vulnerability analysis of electrical power delivery networks. Licentiate thesis TRITA-LWR LIC 2020, Department of Land and Water Resources Engineering, KTH, Stockholm.

15. Immers, L.H., Stada, J.E., Yperman, I., Bleukx, A., 2004. Robustness and resilience of transportation networks. In: Proceedings of the 9th International Scientific Conference MOBILITA, Bratislava, Slovenia, May 6–7.

16. Iida Y, Bell MGH (eds) 2003 The network reliability of transport. Pergamon-Elsevier, Oxford Koenig JG (1980) Indicators of urban accessibility: theory and application. Transportation 9:145–172.

17. Jenelius, E. 2007. Incorporating dynamic and information in consequence model for road network vulnerability analysis. INSTR 2007: The Netherlands.

18. Koenig, J.G. 1980. Indicators of urban accessibility: theory and application. Transportation 9, 145-172.

19. Lam WHK (ed) 1999 Special issue on transport network reliability. J Adv Transp 33(2):121–251.

20. Lam, W.H.K. and Xu, G. 2000. Calibration of traffic flow simulator for network reliability assessment. In Reliability of Transport Networks. Edited by M.G.H. Bell and C. Cassir. Baldock, Herts: Research Studies Press, 139-157.

21. Morris, J.M., Dumble, P.L. and Wigan, M.R. 1979. Accessibility indicators for transport planning. Transportation Research 13A, 91-109.

22. Nicholson, A.J., Du, Z.P., 1994. Improving network reliability: a framework. In: Proceedings of 17th Australian Road Research Board Conference, pp. 1–17.

23. Nicholson, A. and Du, Z. P. (1997). ‘Degradable transportation systems: An integrated equilibrium model’. Transportation Research Part B, 31, pp.209-223.

24. Nicholson, A.J. and Dalziell, E. 2003. Risk evaluation and management: a road network reliability study. In The Network Reliability of Transport. Edited by Y. Iida and M.G.H. Bell. Oxford: Pergamon-Elsevier, 45-59.

25. Nicholson, A.J. and Dante, A. (eds.). 2004. Proceedings of the Second International Symposium on Transportation Network Reliability (INSTR04). Department of Civil Engineering, University of Canterbury, Christchurch, New Zealand.

26. Niemeier, D. A. 1997. Accessibility: an evaluation using consumer welfare. Transportation 24, 377-396.

27. Primerano, F. 2003. Towards a policy-sensitive accessibility measure. Papers of the Australasian Transport Research Forum 27, paper no 35, CD-ROM. Wellington: Transit New Zealand.

28. Richardson, A.J. and Taylor, M.A.P. 1978. A study of travel time variability on commuter journeys. High Speed Ground Transportation Journal 12 (1), 77- 99.

29. State of Minnesota. 2008. “Economic impacts of the I-35W bridge collapse.” Minnesota Department of Employment and Economic Development, Minnesota Department of Transport. PM.

30. Taylor MAP 1999 Dense network traffic models, travel time reliability and traffic management II: application to reliability. J Adv Transp 33(2):235–251 Taylor MAP (2000) Using network reliability concepts for traffic calming—permeability, approachability and tortuosity—in network design. In: Bell MGH, Cassir C (eds) Reliability of transport networks. Research Studies, Baldock, Herts, pp 217–242.

31. Taylor MAP, D’Este GM 2004a Critical infrastructure and transport network vulnerability: developing a method for diagnosis and assessment. Proceedings of the Second International Symposium on Transportation Network Reliability (INSTR04). Department of Civil Engineering, University of Canterbury, Christchurch, pp 96–102.

32. Yang, H., Lo, H.K. and Tang, W.H. 2000. Travel time versus capacity reliability of a road network. In Reliability of Transport Networks. Edited by M.G.H. Bell and C. Cassir. Baldock, Herts: Research Studies Press, 119-138.

33. Nectec 2004 Online], The Great Asian Earthquake and Tsunami 2004, Available : https://www.nectec.or.th/users/htk/20041226- quake/

34. Thairath 2010 Online], Road network Vulnerability in Khao Yai, Thailand, Available: https://www.thairath.co.th/today/view/119426

35. Thairath 2011 Online], Flooding in South of Thailand, Available : https://www.thairath.co.th/feed/4