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Adding Value to Travel Behavior Surveys:. The Network Analyst Approach. Presentation by: Kearey L. Smith Stella Wotherspoon Metropolitan Transportation Commission San Francisco Bay Area, CA. August 10, 2006. ESRI User Conference 2006 San Diego, CA. Bay Area Travel Survey 2000.

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adding value to travel behavior surveys

Adding Value to Travel Behavior Surveys:

The Network Analyst Approach

Presentation by:

Kearey L. Smith

Stella Wotherspoon

Metropolitan Transportation Commission

San Francisco Bay Area, CA

August 10, 2006

ESRI User Conference 2006

San Diego, CA

bay area travel survey 2000
Bay Area Travel Survey 2000
  • Regional household travel survey of the nine-county SF Bay Area
    • Activity-based reporting to capture all trips during study period
    • ~15,000 household respondents
    • ~ 229,000 intra-regional trips
  • Used for travel demand modeling and forecasting
goal for extended gis analysis
Goal for Extended GIS Analysis
  • To derive several new variables based upon precise home and work locations of survey respondents.
    • Move away from past analyses which are zone-based
    • Network Analyst 9.1 adds important tools to assist analysts with the development of new travel behavior models
    • New variables add significant value to the travel survey
primary objectives for extended gis analysis
Primary Objectives for Extended GIS Analysis
  • Geocode all household and trip end locations from the survey
  • Append Standard Census Bureau and MTC Geography
  • Build Multi-modal Network Dataset
  • Derive Door to Door distances and time
  • Derive the walk distance to the closest transit stop(s)
primary objectives for extended gis analysis6
Primary Objectives for Extended GIS Analysis
  • Find stops that are within ¼, ½, and 1 mile walking distance from all households
  • Derive population and employment characteristics of all households and transit stops used in the study
primary gis tools used to conduct the analyses
Primary GIS Tools Used to Conduct the Analyses
  • Arcmap Tools
    • Geocoding
    • Spatial Joins
  • Network Analyst Tools
    • Build Network & Calculate Network Locations
    • Find Best Route
    • Origin and Destination Cost Matrix
    • Service Area Tool
  • Spatial Analyst Tools
    • Zonal Statistics
build network dataset
Build Network Dataset
  • A network dataset is the file set used by Network Analyst 9.1 to calculate routes and service areas, to locate closest facilities, and to produce origin-destination matrices
  • Used the TeleAtlas North America (TANA) Dynamap Transportation Database
  • Added Pedestrian Facilities for areas where none exist in the TANA Dynamap database
  • Can be as a shapefile or geodatabase feature class
build network dataset9
Build Network Dataset
  • Topology is crucially important
calculate network locations
Calculate Network Locations
  • Once this is done, tools will load locations quickly to the analysis layer
  • Ensure that locations are assigned to pedestrian accessible line segments
make route layer
Make Route Layer
  • Derive the door to door distance and estimated time for over 229,000 trip records
  • Developed a custom visual basic script that automates the calculation of each origin and destination trip pair
origin and destination cost matrix
Origin and Destination Cost Matrix
  • Derive the walk distance to the closet transit stop and the drive distance to the nearest transit park and ride facility
  • Very large Matrices require preprocessing of data
find service area
Find Service Area
  • Create pedestrian buffers for all rail and ferry stops in the region
  • The result of this process was used in a spatial model to estimate total population and jobs
estimating population and employment characteristics
Estimating Population and Employment Characteristics
  • A method had to be devised that accommodates the different shapes of the census tracts and the pedestrian buffers.
  • The Zonal function tools in Spatial Analyst can summarize a value raster based upon a zone defined by a polygon feature class.
  • The value raster is created using Census Tract data and Existing Land Use
zonal statistics
Zonal Statistics
  • Determine Population and Employment characteristics for each household and transit stop location in the survey
  • Developed a spatial model using Python scripting to automate the zonal statistic tabulation process
next steps
Next Steps
  • Add Transit System as a Mode Choice
  • Measure Pedestrian Accessibility of each transit stop
  • Classify Transit Stops based upon the General Land Use Characteristics around each station location
adding value to travel behavior surveys17

Adding Value to Travel Behavior Surveys

More Information

Download this presentation and report, as well as other info. from our Website @

http://www.mtc.ca.gov/maps_and_data/GIS/soundbytes.htm

Check out the Network Modeling and Analysis Section

adding value to travel behavior surveys18

Adding Value to Travel Behavior Surveys

Contact Information

Mr. Kearey Smith

ksmith@mtc.ca.gov

510-817-5738

Ms. Stella Wotherspoonswothe@mtc.ca.gov

510-817-5969

Metropolitan Transportation Commission

101 Eighth Street

Oakland, CA 94607

www.mtc.ca.gov