ANALYSIS OF TRAVEL PEAKING

A MODELING TECHNIQUE IS DESCRIBED THAT CAN DIRECTLY SIMULATE PEAK-PERIOD DEMAND. THE MODEL CONVERTS 24-HOUR TRIPS TO PEAK-PERIOD TRIPS THEN ALLOCATES THEM TO MODES, AND ASSIGNS THEM TO NETWORKS. ANALYSIS OF THE MODEL'S OUTPUT INDICATES THAT THE ORIENTATION OF PEAK-PERIOD TRAVEL IS SIGNIFICANTLY DIFFERENT FROM THAT OF 24-HOUR TRAVEL. NINE COMMUNITIES WITHIN THE URBANIZED AREA OF THE BALTIMORE REGION WERE CHOSEN TO ILLUSTRATE PEAKING CHARACTERISTICS FOR DIFFERENT TYPES OF MOVEMENTS, I.E., PEAKING FROM EMPLOYMENT AREAS OR PEAKING CHANGES BASED ON BASE YEAR OBSERVATION CANNOT PROVIDE REASONABLY ACCURATE ESTIMATES OF FUTURE PEAK- PERIOD CONDITIONS. PEAKING CHARACTERISTICS WERE FOUND TO CHANGE THROUGH TIME AS A RESULT OF THE UNEVEN GROWTH IN EMPLOYMENT AND POPULATION. BASED ON THE ANALYSIS, IT IS CLEAR THAT PEAKING FACTORS CHANGE THROUGH TIME AND ARE SENSITIVE TO THE DISTRIBUTION OF URBAN ACTIVITIES. /AUTHOR/

Media Info

  • Media Type: Print
  • Features: Figures; References; Tables;
  • Pagination: pp 159-180
  • Monograph Title: Choice of Travel Mode and Considerations in Travel Forecasting
  • Serial:

Subject/Index Terms

Filing Info

  • Accession Number: 00228157
  • Record Type: Publication
  • ISBN: 0309019869
  • Files: TRIS, TRB
  • Created Date: Apr 23 1972 12:00AM