SPONSOR: ITS Lab

BUDGET: $0

ABSTRACT: The objective of this research is to examine the issue of optimizing transit stop spacing using simple analytical procedures. This is an extension of some simple analysis contained in this paper: Bertini, R.L. and El-Geneidy, A.M. " Modeling Transit Trip Time Using Archived Bus Dispatch System Data ." Journal of Transportation Engineering , American Society of Civil Engineers, Vol. 130, No. 1, January 2004. Some initial thoughts developed by G.F. Newell and M.J. Cassidy are shown here: Bus Stop Spacing Lecture example of one day's bus loading (TriMet Route 14 inbound for April 1, 2002): Some thoughts (developed by Mike Rose) of potential data sources for examining this problem: Potential Data Sources: Census Standard census data aggregated at the block group level (population, age, gender, race etc.) Block group sizes vary, but consist of about 35-70 city blocks in the Hawthorne area. Summary travel data at the block group level (mode, auto ownership etc.) (from census long form received by 1 in 6 households) National Household Transportation Survey (NHTS) Survey of 26,000 households nationwide. Includes standard demographics and information about travel on the interview day and in the previous week. Not useful for specific areas, but might be useful as a reference Transportation Analysis Zones - Portland Metro Household, employment, and landuse data used in the Metro travel demand model at the TAZ level. TAZ's are slightly smaller than block groups. Willing to share virtually any data used in their model. Bill Stein in the Travel Demand Modeling group indicated that this data is superior to the census data Point Data - Portland Metro Point data for each household (willing to give us this data) Point data for each employer (we will need to be cleared by the METRO legal dept. to get this data.) Tri-Met Bus dispatch (stop level) data including ons, offs, load, etc.

PRODUCTS:

conferenceproceedings Huan, L., and R.L. Bertini, "Toward Optimal Transit Stop Spacing." ICTTS 2008

journal Bertini, R.L. and El-Geneidy, A.M. , "Modeling Transit Trip Time Using Archived Bus Dispatch System Data." Journal of Transportation Engineering , American Society of Civil Engineers, Vol. 130, No. 1, January 2004.

More notes :

Some initial thoughts developed by G.F. Newell and M.J. Cassidy are shown here: Bus Stop Spacing Lecture

Ahmed El-Geneidy Literature Review

Example of one day's bus loading (TriMet Route 14 inbound for April 1, 2002):

Some thoughts (developed by Mike Rose) of potential data sources for examining this problem:

Potential Data Sources:

Census

Standard census data aggregated at the block group level (population, age, gender, race etc.) Block group sizes vary, but consist of about 35-70 city blocks in the Hawthorne area.

Summary travel data at the block group level (mode, auto ownership etc.)

(from census long form received by 1 in 6 households)

National Household Transportation Survey (NHTS)

Survey of 26,000 households nationwide.

Includes standard demographics and information about travel on the interview day and in the previous week.

Not useful for specific areas, but might be useful as a reference

Transportation Analysis Zones - Portland Metro

Household, employment, and landuse data used in the Metro travel demand model at the TAZ level. TAZ's are slightly smaller than block groups.

Willing to share virtually any data used in their model.

Bill Stein in the Travel Demand Modeling group indicated that this data is superior to the census data

Point Data - Portland Metro

Point data for each household (willing to give us this data)

Point data for each employer (we will need to be cleared by the METRO legal dept. to get this data.)

Tri-Met

Bus dispatch (stop level) data including ons, offs, load, etc.