Can Public Transit Affect Private Vehicle Use?

1. Can Public Transit Affect Private Vehicle Use? GUANHUA Mu March 17th,2012

2. Outline Midterm Review Final Objectives Analysis of existing stations with new variable data Analysis of service area of stations Conclusion

3. Midterm Review From the midterm’s conclusion, there is a relationship between transit stations and non-vehicle families, but these evidences are not strong enough.

4. Final Objectives • Add some new variables data like: low-income, travel behavior, distance from station. • Use more space analysis methods. • Try to find a stronger relationship between mass transit and private vehicle use and make some proposals to the current lines.

5. Analysis with Data of Public Transit • The places which use public transit are concentrating along the bus and rail line. • Skills • Aggregating attribute fields • Graduated Symbols

6. Analysis with Data of Low-Income Families • The low-income families are concentrating along bus line and rail line. • Skills • Aggregating attribute fields • Graduated Symbols

7. Analysis of Distance From Stations • The most walking influencing area of transit stations is limited around 1500 meters. • Skills • Modeling • Proximity Analysis • Metadata

8. Hot-Spot Analysis of Transit Stations • Create the final transit need index through four variables: density of non-vehicle families, %low-income families, %public transit use, distance from transit stations. • Skills • Hot-Spot Analysis • Proximity Analysis

9. Hot-Spot Analysis of Transit Stations • We can see the high transit need mostly distributing around transit station within 1 miles. • Skills • Buffer

10. Analyses of Proposed Infill-Stations • From the right figure, there are some uneven distribution of stations in some part of bus line and rail line within high transit need area. • Because it is very hard to change railway’s station, so the proposed infill-stations are focus on bus stations in this report.

11. Analyses of Proposed Infill-Stations • Add New Stations: • 10 bus stations • Skills • Original Data • Metadata

12. Analyses of Proposed Infill-Stations • Service Area of originally stations: • 300meters • 600meters • 1000meters • Skills • Geocoding • Network Analyst

13. Analyses of Proposed Infill-Stations • Service area of originally stations and new stations: • 300meters • 600meters • 1000meters • Skills • Geocoding • Network Analyst

14. Analyses of Proposed Infill-Stations • We can see the road densities which around new stations are mostly the same as that around originally stations. • It is necessary to add some new stations in the original bus route, so the line can service more people.

15. Conclusion • The high transit need mostly distributing around transit station within short distance. • It is necessary to add some new stations in the original rapid bus 757 route, so the bus line can service more poor people and non-vehicle families, and encourage more people to use public transit rather than private vehicles.

16. Skills Utilized • Model

17. Skills Utilized • Metadata

18. Skills Utilized • Insert Map • Attribute sub-sets selections • Aggregating attribute fields • Buffer • Geocoding • Graduated Symbols • Modeling • Hot-Spot Analysis • Original Data • Images • Proximity Analysis • Metadata • Network Analyst

19. Data Sources • U.S. Census Bureau: 2011 Tiger/Line R Shapefiles • http://www.census.gov/cgi-bin/geo/shapefiles2011/main • ESRI • http://arcdata.esri.com/data/tiger2000/tiger_download.cfm • Metro Developer • http://developer.metro.net/introduction/gis-data/download-gis-data/ • U.S. Census Bureau: American FactFinder • http://factfinder2.census.gov/faces/nav/jsf/pages/index.xhtml

20. Thanks!