How does transportation in the Twin Cities shape the spatial mismatch?

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How does transportation in the Twin Cities shape the spatial mismatch? Bus routes and ridership Job accessibility by bus Transportation correlations with demographic and socio-economic characteristics Case studies: work location and transit access Case studies: race, work location, transit access, and commute time

Routes with the highest number of total trips per week are concentrated in Minneapolis and St. Paul, while routes with the lowest number of total trips serve the outer-ring ring suburbs

Routes with the highest number of bus riders are concentrated in Minneapolis and St. Paul, while routes with the lowest number of bus riders serve the inner- and outer-ring ring suburbs

The highest percentages of public transportation commuters are concentrated in Minneapolis, with very low percentages of public transportation commuters in the suburbs

Bus stops with the highest number of weekly stops are concentrated ed in Minneapolis and St. Paul, while bus stops with the lowest number of weekly stops occur in the inner- and outer-ring ring suburbs

Job Accessibility by Bus Weekly Bus Stops % Low Income** % Middle Income** % High Income** % Total Jobs** 0-49 31.3 34.5 36.7 34.6 50-212 30.3 28.2 27.4 28.6 212-450 17.4 13.8 10.0 13.2 451-846 9.4 8.2 6.9 8.0 846-1,972 14.9 18.1 22.6 19.1 ** Jobs within Public Transit/Walking Buffer Total Jobs 1,435,583 Low Earning Jobs 350,920 Middle Earning Jobs 504,422 High Earning Jobs 580,241

Park and Rides are generally underused; driving commuters are heavily concentrated in the seven-county area other than the downtown areas

Transportation Correlations Positive (0.54 to 0.63) Public transportation commuters & HHs earning < $40K/yr Commuters driving alone & HHs earning $60K - $100K/yr White population & driving alone African-American American population & public transportation use People of 2-or2 or-more races & public transportation use Negative (-0.66( to -0.50) Public transportation commuters & HHs earning $60K - $100K/yr Commuters driving alone & HHs earning < $40K/yr White population & public transportation use African-American American population & driving alone People of 2-or2 or-more races & commuters driving alone *All are significant at the.01 level

Case studies: Work location and transit access

For each of the four areas, the answer is: Geographically, yes. Logistically, perhaps in the future. Jobs are located near enough bus stops to make transit an option.

Case studies: Race, work location, transit access, and commute time

South Minneapolis 70% Black or African-American American Distance to Work: Within 2 miles: 16% Within 5 miles: 57% Within 10 miles: 86%

North Saint Paul 61% Asian Distance to Work: Within 2 miles: 28% Within 5 miles: 48% Within 10 miles: 75%

Conclusions Mismatch exists in terms of basic spatial proximity/commuting distance measures Workers to jobs Jobs to housing Transportation mismatch exists both spatially and demographically Inner-city vs. suburban transit options and use Heavier reliance of minority populations on public transportation Longer commute times for minority population areas

Conclusions (cont.) Job accessibility measures Frequency and direction of service more of an issue than presence/absence of public transportation Most jobs within the Twin Cities metro area are within 0.5 mile of a bus stop Difficult to reach low-income jobs outside of Minneapolis and St. Paul (e.g. I-494 I corridor, suburbs such as Plymouth, Maple Grove, Roseville, Eagan)

Policy Reflections Historic difficulties in moving low-income or rental housing toward areas of low-income jobs and vice versa Focus on transportation? Improvement of service on existing network Extensions targeted to low-income employment areas Employer-based transit programs or support

Research Reflections Data limitations Scale of analysis vs. level of detail Difficult to measure transportation access Minnesota s s data sources Detailed origin-destination data and jobs/workers characteristics O-D D data not specifically linked to transportation information, nor to RAC and WAC information Possible to overlay and correlate with other sources (e.g. Census)

Report will be available at: http://www.macalester.edu/geography/ projects/courses/geog365/index.htm