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CARLY S. QUEEN GIS TRANSIT PLANNING TOOLS CP 6521. ADVANCED GIS PROFESSOR. MARTY SUNG SCHOOL OF CITY AND REGIONAL PLANNING GEORGIA INSTITUTE OF TECHNOLOGY Transit Score Model User inputs Data + Weights for: Population Employment Poverty Calculate Field Densities Spatial Join 3 Layers Summary Statistics Max. Densities Normalize Data (Scale 0-1) Apply Weights to Scaled Densities Calculate Transit Score Summary Statistics Max. Score Score as a Percent (Scale 0-100) Transit Propensity Model User inputs Data + Coefficients for: Population White Population Education Jobs Health Jobs Poverty Calculate Field Densities Spatial Join 3 Layers Apply Coefficients to Densities Negative Binomial Regression Model Estimate Transit Propensity (Usage) Model vs. Actual Usage User inputs Actual Usage Data for: MARTA Bus Stops Shapefile >0.5 miles from nearest Rail Station Low (<10) Use Stops Excluded from Actual Stop Usage Shapefile Spatial Join with TransitPropensity.shp Check Estimated against Actual Usage Green dots with no Orange dots where model overpredicts stop usage Continue to Enhance Model as Needed Develop decision-support tools to aid in transit planning efforts. Create simple GIS models to estimate area- and stop-level transit propensity. Regression Betas PopDens , WhiteDens EduDens , HealthDens PovDens Transit Propensity

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CARLY S. QUEENGIS TRANSIT PLANNING TOOLS

CP 6521. ADVANCED GISPROFESSOR. MARTY SUNG

SCHOOL OF CITY AND REGIONAL PLANNINGGEORGIA INSTITUTE OF TECHNOLOGY

Transit Score ModelUser inputs Data + Weights for:

Population

Employment

Poverty

Calculate Field Densities

Spatial Join 3 LayersSummary Statistics Max. Densities

Normalize Data (Scale 0-1)

Apply Weights to Scaled Densities

Calculate Transit ScoreSummary Statistics Max. Score

Score as a Percent (Scale 0-100)

Transit Propensity ModelUser inputs Data + Coefficients for:

Population

White Population

Education Jobs

Health Jobs

PovertyCalculate Field Densities

Spatial Join 3 Layers

Apply Coefficients to DensitiesNegative Binomial Regression Model

Estimate Transit Propensity (Usage)

Model vs. Actual UsageUser inputs Actual Usage Data for:

MARTA Bus Stops Shapefile>0.5 miles from nearest Rail StationLow (<10) Use Stops Excluded from Actual Stop Usage Shapefile

Spatial Join with TransitPropensity.shpCheck Estimated against Actual Usage

Green dots with no Orange dots where model overpredicts stop usage

Continue to Enhance Model as Needed

Develop decision-support tools to aid in transit planning efforts.

Create simple GIS models to estimate area- and stop-level transit propensity.

Regression Betas

PopDens, WhiteDens

EduDens, HealthDens

PovDens Transit Propensity