Modeling the Impact of Smart Growth on Travel Choices: An Enhanced Travel Demand Forecasting Approach

This paper intends to develop an enhanced travel demand forecasting framework that is sensitive to assess the impacts of smart growth strategies on travel behavior. The refinement focuses on intrazonal trips which are often neglected by the traditional four-step travel demand forecasting method. In the two major steps of trip generation and mode split, separate models are developed to quantify the impact of land use on intrazonal trip making. The modelling results indicate that the balanced and diverse land use in terms of population and employment distributions will encourage more intrazonal trips, shorter travels, and the usage of transit and non-motorized modes. In addition, the enhanced modelling framework is applied to evaluate several smart growth scenarios for the Greater Buffalo-Niagara area in New York. As found, the overall Vehicle Miles Travelled (VMT) and Vehicle Hours Travelled (VHT) will be reduced with the improvement of balance and diversity of land use.

• Record URL:
  • https://doi.org/10.1061/41186(421)431
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784411865
• Supplemental Notes:
  • Copyright © 2011 ASCE
• Corporate Authors:

  American Society of Civil Engineers

  1801 Alexander Bell Drive
  Reston, VA  United States  20191-4400
• Authors:
  • Wang, Qian
  • Su, Peng
• Conference:
  • 11th International Conference of Chinese Transportation Professionals (ICCTP)
  • Location: Nanjing , China
  • Date: 2011-8-14 to 2011-8-17
• Publication Date: 2011

Language

• English

Media Info

• Media Type: Digital/other
• Features: References;
• Pagination: pp 4372-4384
• Monograph Title: ICCTP 2011: Towards Sustainable Transportation Systems

Subject/Index Terms

• TRT Terms: Forecasting; Land use; Travel behavior; Travel demand; Trip generation; Urban areas; Vehicle miles of travel
• Geographic Terms: Buffalo (New York)
• Subject Areas: Highways; Planning and Forecasting; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01453831
• Record Type: Publication
• ISBN: 9780784411865
• Files: TRIS, ASCE
• Created Date: Nov 15 2012 12:32PM