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Analyzing willingness to improve the resilience of New York City's transportation system

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  • Wang, Chen
  • Sun, Jiayi
  • Russell, Roddy
  • Daziano, Ricardo A.

Abstract

Hurricane Sandy revealed the higher-risk vulnerability to natural hazards of civil infrastructure systems in coastal megacities such as New York. Traditional sources of funding for both recovering from disasters and preventing future damages are not only limited, but also do not account for benefit transfers of the externalities induced by the provision of resilient infrastructure. In principle, property owners should be willing to pay (WTP) an amount equal to the perceived benefit, if this positive externality is internalized by them following some pricing mechanism. In this paper, we analyze the willingness of residents to financially support improvements in the resilience to extreme events of the transportation system in New York City. Choice microdata was collected for over 1500 residents of the metropolitan NYC area. Several logit-type models were estimated and the preferred model was a discrete-continuous heterogeneity mixture that allows for the derivation of flexible distributions of willingness to pay. Using hypothetical scenarios of recovery, the annual willingness to pay for individuals who missed work ands self identify as politically liberal ranges from $120 to $775, whereas for those individuals that were not directly affected the range is $15-$50.

Suggested Citation

  • Wang, Chen & Sun, Jiayi & Russell, Roddy & Daziano, Ricardo A., 2018. "Analyzing willingness to improve the resilience of New York City's transportation system," Transport Policy, Elsevier, vol. 69(C), pages 10-19.
    • Handle: RePEc:eee:trapol:v:69:y:2018:i:c:p:10-19
    DOI: 10.1016/j.tranpol.2018.05.010
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    as
    1. Kunreuther, Howard, 1996. "Mitigating Disaster Losses through Insurance," Journal of Risk and Uncertainty, Springer, vol. 12(2-3), pages 171-187, May.
    2. Daniel McFadden, 2001. "Economic Choices," American Economic Review, American Economic Association, vol. 91(3), pages 351-378, June.
    3. Howard Kunreuther & Mark Pauly, 2006. "Rules rather than discretion: Lessons from Hurricane Katrina," Journal of Risk and Uncertainty, Springer, vol. 33(1), pages 101-116, September.
    4. Howard Kunreuther & Mark Pauly, 2006. "Rules Rather Than Discretion: Lessons from Hurricane Katrina," NBER Working Papers 12503, National Bureau of Economic Research, Inc.
    5. Howard Kunreuther & Mark Pauly, 2004. "Neglecting Disaster: Why Don't People Insure Against Large Losses?," Journal of Risk and Uncertainty, Springer, vol. 28(1), pages 5-21, January.
    6. Greene, William H. & Hensher, David A., 2003. "A latent class model for discrete choice analysis: contrasts with mixed logit," Transportation Research Part B: Methodological, Elsevier, vol. 37(8), pages 681-698, September.
    7. Roy Brouwer & Marije Schaafsma, 2013. "Modelling risk adaptation and mitigation behaviour under different climate change scenarios," Climatic Change, Springer, vol. 117(1), pages 11-29, March.
    8. William H. Greene & David A. Hensher, 2013. "Revealing additional dimensions of preference heterogeneity in a latent class mixed multinomial logit model," Applied Economics, Taylor & Francis Journals, vol. 45(14), pages 1897-1902, May.
    9. W. J. Wouter Botzen & Jeroen C. J. M. Van Den Bergh, 2012. "Monetary Valuation Of Insurance Against Flood Risk Under Climate Change," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 53(3), pages 1005-1026, August.
    10. Angel Bujosa & Antoni Riera & Robert Hicks, 2010. "Combining Discrete and Continuous Representations of Preference Heterogeneity: A Latent Class Approach," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 47(4), pages 477-493, December.
    11. Froot, Kenneth A., 2001. "The market for catastrophe risk: a clinical examination," Journal of Financial Economics, Elsevier, vol. 60(2-3), pages 529-571, May.
    12. Dekker, Thijs & Hess, Stephane & Brouwer, Roy & Hofkes, Marjan, 2016. "Decision uncertainty in multi-attribute stated preference studies," Resource and Energy Economics, Elsevier, vol. 43(C), pages 57-73.
    13. Dwight M. Jaffee & Thomas Russell, 1996. "Catastrophe Insurance, Capital Markets and Uninsurable Risks," Center for Financial Institutions Working Papers 96-12, Wharton School Center for Financial Institutions, University of Pennsylvania.
    14. Dong Wang & Rachel A. Davidson & Joseph E. Trainor & Linda K. Nozick & Jamie Kruse, 2017. "Homeowner purchase of insurance for hurricane-induced wind and flood damage," 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. 88(1), pages 221-245, August.
    15. Warren Kriesel & Craig Landry, 2004. "Participation in the National Flood Insurance Program: An Empirical Analysis for Coastal Properties," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 71(3), pages 405-420, September.
    16. Junyi Shen, 2009. "Latent class model or mixed logit model? A comparison by transport mode choice data," Applied Economics, Taylor & Francis Journals, vol. 41(22), pages 2915-2924.
    17. Youbaraj Paudel, 2012. "A Comparative Study of Public—Private Catastrophe Insurance Systems: Lessons from Current Practices," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 37(2), pages 257-285, April.
    18. Carolyn Kousky, 2011. "Managing Natural Catastrophe Risk: State Insurance Programs in the United States," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 5(1), pages 153-171, Winter.
    19. Sarrias, Mauricio & Daziano, Ricardo, 2017. "Multinomial Logit Models with Continuous and Discrete Individual Heterogeneity in R: The gmnl Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 79(i02).
    20. Youbaraj Paudel & W J Wouter Botzen & Jeroen C J H Aerts, 2012. "A Comparative Study of Public–Private Catastrophe Insurance Systems: Lessons from Current Practices," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 37(3), pages 603-603, July.
    21. Kunreuther, Howard C. & Michel-Kerjan, Erwann O., 2011. "At War with the Weather: Managing Large-Scale Risks in a New Era of Catastrophes," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262516543, April.
    22. Chandra R. Bhat, 1997. "An Endogenous Segmentation Mode Choice Model with an Application to Intercity Travel," Transportation Science, INFORMS, vol. 31(1), pages 34-48, February.
    23. Michael Keane & Nada Wasi, 2013. "Comparing Alternative Models Of Heterogeneity In Consumer Choice Behavior," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 28(6), pages 1018-1045, September.
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