IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Log in (now much improved!)

Citations for "Road supply and traffic in California urban areas"

by Hansen, Mark & Huang, Yuanlin

For a complete description of this item, click here. For a RSS feed for citations of this item, click here.
as in new window

  1. Su, Qing, 2010. "Travel demand in the US urban areas: A system dynamic panel data approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(2), pages 110-117, February.
  2. Choo, Sangho & Mokhtarian, Patricia L., 2007. "Telecommunications and travel demand and supply: Aggregate structural equation models for the US," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(1), pages 4-18, January.
  3. Pavithra Parthasarathi & David M. Levinson & Ramachandra Karamalaputi, 2003. "Induced Demand: A Microscopic Perspective," Urban Studies, Urban Studies Journal Limited, vol. 40(7), pages 1335-1351, June.
  4. Hsu, Wen-Tai & Zhang, Hongliang, 2014. "The fundamental law of highway congestion revisited: Evidence from national expressways in Japan," Journal of Urban Economics, Elsevier, vol. 81(C), pages 65-76.
  5. David Levinson, 2002. "Identifying Winners and Losers in Transportation," Working Papers 200204, University of Minnesota: Nexus Research Group.
  6. Su, Qing, 2011. "The effect of population density, road network density, and congestion on household gasoline consumption in U.S. urban areas," Energy Economics, Elsevier, vol. 33(3), pages 445-452, May.
  7. Yao Wu & David Levinson, 2005. "The Rational Locator Reexamined," Working Papers 200503, University of Minnesota: Nexus Research Group.
  8. Rhoads, Thomas A. & Shogren, Jason F., 2006. "Why do cities use supply side strategies to mitigate traffic congestion externalities?," Economics Letters, Elsevier, vol. 92(2), pages 214-219, August.
  9. Gilles Duranton & Matthew A. Turner, 2011. "The Fundamental Law of Road Congestion: Evidence from US Cities," American Economic Review, American Economic Association, vol. 101(6), pages 2616-2652, October.
  10. Cervero, Robert, 2001. "Induced Demand: An Urban Metropolitan Perspective," University of California Transportation Center, Working Papers qt5pj337gw, University of California Transportation Center.
  11. David Levinson & Seshasai Kanchi, 2002. "Road Capacity and the Allocation of Time," Working Papers 200203, University of Minnesota: Nexus Research Group.
  12. Tian, Li-Jun & Yang, Hai & Huang, Hai-Jun, 2013. "Tradable credit schemes for managing bottleneck congestion and modal split with heterogeneous users," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 54(C), pages 1-13.
  13. Romilly, Peter, 2004. "Welfare evaluation with a road capacity constraint," Transportation Research Part A: Policy and Practice, Elsevier, vol. 38(4), pages 287-303, May.
  14. Su, Qing, 2012. "A quantile regression analysis of the rebound effect: Evidence from the 2009 National Household Transportation Survey in the United States," Energy Policy, Elsevier, vol. 45(C), pages 368-377.
  15. González, Rosa Marina & Marrero, Gustavo A., 2012. "Induced road traffic in Spanish regions: A dynamic panel data model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(3), pages 435-445.
  16. Dahlgren, Joy, 2001. "How the Reconstruction of I-880 Affected Travel Behavior," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt4xr9v906, Institute of Transportation Studies, UC Berkeley.
  17. Su, Qing, 2011. "Induced motor vehicle travel from improved fuel efficiency and road expansion," Energy Policy, Elsevier, vol. 39(11), pages 7257-7264.
  18. Noland, Robert B., 2001. "Relationships between highway capacity and induced vehicle travel," Transportation Research Part A: Policy and Practice, Elsevier, vol. 35(1), pages 47-72, January.
  19. Patricia Mokhtarian & Francisco Samaniego & Robert Shumway & Neil Willits, 2002. "Revisiting the notion of induced traffic through a matched-pairs study," Transportation, Springer, vol. 29(2), pages 193-220, May.
  20. Yang, Hai & Wang, Xiaolei, 2011. "Managing network mobility with tradable credits," Transportation Research Part B: Methodological, Elsevier, vol. 45(3), pages 580-594, March.
  21. Kenworthy, Jeffrey R. & Laube, Felix B., 1999. "Patterns of automobile dependence in cities: an international overview of key physical and economic dimensions with some implications for urban policy," Transportation Research Part A: Policy and Practice, Elsevier, vol. 33(7-8), pages 691-723.
  22. World Bank, 2015. "Land Administration and Management in Ulaanbaater, Mongolia," World Bank Other Operational Studies 21496, The World Bank.
  23. Tscharaktschiew, Stefan & Hirte, Georg, 2012. "Should subsidies to urban passenger transport be increased? A spatial CGE analysis for a German metropolitan area," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(2), pages 285-309.
  24. McMullen, B. Starr & Eckstein, Nathan, 2013. "Determinants of VMT in Urban Areas: A Panel Study of 87 U.S. Urban Areas 1982-2009," Journal of the Transportation Research Forum, Transportation Research Forum, vol. 52(3).
  25. Hymel, Kent M. & Small, Kenneth A. & Dender, Kurt Van, 2010. "Induced demand and rebound effects in road transport," Transportation Research Part B: Methodological, Elsevier, vol. 44(10), pages 1220-1241, December.
  26. Choo, Sangho, 2003. "Aggregate Relationships between Telecommunications and Travel: Structural Equation Modeling of Time Series Data," University of California Transportation Center, Working Papers qt4p78h623, University of California Transportation Center.
  27. Santos, Georgina & Behrendt, Hannah & Teytelboym, Alexander, 2010. "Part II: Policy instruments for sustainable road transport," Research in Transportation Economics, Elsevier, vol. 28(1), pages 46-91.
  28. Southworth, Frank, 2001. "On the potential impacts of land use change policies on automobile vehicle miles of travel," Energy Policy, Elsevier, vol. 29(14), pages 1271-1283, November.
This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.