TRANSIT-ORIENTED DEVELOPMENT IN OMAHA KRISTEN FIGUEIRA UP206A
WHY OMAHA? CURRENT POPULATION: ALMOST 410,000 GROWTH: POPULATION EXPECTED TO DOUBLE BY 2050 SOLUTION? TRANSIT-ORIENTED DEVELOPMENT (TOD) TRANSIT RIDERSHIP: 1.4%
PROJECT AREA
PUBLIC TRANSIT (OMAHA METRO)
TRANSIT CENTERS Downtown Transit Center Benson Park Transit Center North Omaha Transit Center Westroads Transit Center Midtown Transit Center Metro College Transit Center
TRANSIT USE AND RIDERSHIP
DENSITY AND RIDERSHIP
INCOME AND RIDERSHIP
TRANSIT-ORIENTED DEVELOPMENT TRANSIT-ORIENTED DEVELOPMENT: DENSITY SOCIO-ECONOMIC OTHER FACTORS: YOUNG PROFESSIONALS & “EMPTY NESTERS” TRANSIT QUALITY OTHER MODE CHOICE IT’S ALL ABOUT ACCESS!
MEDIAN INCOME (within 1 mile of transit center) Downtown Transit Center Benson Park Transit Center North Omaha Transit Center Westroads Transit Center Midtown Transit Center Metro College Transit Center
TOD VIABILITY Transit Center Ridership + Pct Trans + Med Inc + Density + Bike + Walk
TOD FOR LOW-INCOME HOUSING Transit Center Ridership + Pct Trans + Pct Below Poverty + Median Income + Density + Avg Ed
CONCLUSION TOD IN OMAHA? DEPENDS ON YOUR GOALS FOR AFFLUENT YOUNG, HOUSEHOLDS IT HAS POTENTIAL, BUT NOT MUCH AS A MEANS OF FUNDING FOR LOW-INCOME HOUSING, IT COULD BE A VIABLE OPTION
REFERENCES IMAGES Title Page Photo: _US_metro_economies/9.htm Newspaper Article: OMAHA Metro Map: MAPS ESRI 2010 TIGERFILES DATA American Fact Finder 2010 Omaha Metro MAPA Council of Governments
SKILLS MODELING ORIGNAL DATA (transit centers and ridership) MEASUREMENT/ANALYSIS HOT SPOT ANALYSIS (SPATIAL ANALYST) GEOCODING INSET MAP GRADUATED SYMBOLS AGGREGATING ATTRIBUTE FIELDS (transit use, ag) CREATING INDICES (poverty, minority) CUSTOM SHAPEFILE CREATION (transit centers and ridership data) ATTRIBUTE SUB-SET SELECTION GEOPROCESSING
SKILLS Attribute Subset Selections for Clips: Omaha was derived by querying places (NB Places, "Name"= Omaha) Douglas County was derived by quering Counties Shapefile (Counties, "Name" = "Douglas" AND "SFID" = "055") Spatial Analyst: Variables were reclassified (high/low) based on output spatial analysis (ie- Median Income reverse ranked for Low Income Locations but not TOD Viability) TOD Viability: Transit Center Ridership + Pct Trans + Med Inc + Density + Bike + Walk Low Income Locations: Transit Center Ridership + Pct Trans + Pct Below Poverty + Median Income + Density + Avg Ed
MODEL: JOINS JOINS OF CENSUS DATA (% BELOW POVERTY LINE, % MINORITY, MEDIAN INCOME, TOTAL HOUSEHOLDS, ETHNICITY to Douglas County)
MODEL: RASTER FOR SPATIAL ANALYSIS
MODEL: TOD VIABILITY RECLASSIFY
MODEL: TOD LOW-INCOME RECLASSIFY