题名: |
MULTI-DAY AND MULTI-PERIOD DATA FOR TRAVEL DEMAND ANALYSIS AND MODELING. |
作者: |
Pendyala-RM; Pas-EI |
关键词: |
Data-collection; Future-; Multi-day-data; Multi-period-data; Research-; Transportation-planning; Travel-behavior; Travel-demand; Travel-surveys; Workshops- |
摘要: |
Multi-day and multi-period surveys provide longitudinal data that facilitate the analysis, understanding, and modeling of changes in travel behavior over time. Since travel behavior is a dynamic phenomenon with both short- and long-term variability, the use of multi-day and multi-period data in transportation planning analysis and modeling is clearly worth consideration. This paper focuses on issues related to the collection and use of multi-day and multi-period data in light of the considerable accumulated knowledge about the day-to-day and longer-term dynamics of travel behavior. Limitations associated with the use of one-day cross-sectional travel data are identified in the context of the benefits and economies that may be realized from multi-day and multi-period surveys. Survey design issues and methodological difficulties inherent in collecting multi-day and multi-period data are discussed together with possible solutions. Challenges for the workshop and future research needs are identified in the context of integrated multi-day, multi-period surveys that would offer extremely rich travel behavior information for transportation planning practice. |
总页数: |
Conference Title: Transport Surveys: Raising the Standard. Location: Grainau, Germany. Sponsored by: Ministry of Transport, Transport Research Centre, Rotterdam, Netherlands |
报告类型: |
科技报告 |