1 Planning a Fixed Route with Demand Response Data • Kevin Harrison • 2015 GIS in Transit Conference • September 2, 2015
GIS in Transit: September 2nd, 2015 2 Presentation outline Introduction 1. Context 2. Traditional Route Planning 3. Demand-Response Data 4. Strengths and Limitations 5. Conclusions 6.
GIS in Transit: September 2nd, 2015 3 Context: Geography Map Data: Google Maps
GIS in Transit: September 2nd, 2015 4 Context: Geography Map Data: Google Maps
GIS in Transit: September 2nd, 2015 5 Context: Population Growth Projected Population Growth 350,000 300,000 250,000 200,000 150,000 100,000 50,000 - 1960 1970 1980 1990 2000 2010 2020 2030 Source: US Census Bureau; LSU
GIS in Transit: September 2nd, 2015 6 Traditional Route Planning: Major Employers Map Data: Esri, DeLorme, NAVTEQ
GIS in Transit: September 2nd, 2015 7 Traditional Route Planning: Density Map Data: Esri, DeLorme, NAVTEQ
GIS in Transit: September 2nd, 2015 8 Traditional Route Planning: Density Map Data: Esri, DeLorme, NAVTEQ, LEHD
GIS in Transit: September 2nd, 2015 9 Traditional Route Planning: Density Map Data: Esri, DeLorme, NAVTEQ, LEHD
GIS in Transit: September 2nd, 2015 10 Traditional Route Planning: Drawing a Route Map Data: Esri, DeLorme, NAVTEQ, LEHD
GIS in Transit: September 2nd, 2015 11 Demand Response Data: Manifests
GIS in Transit: September 2nd, 2015 12 Demand Response Data: Demand Curve 2013 Stops by Time 14,000 12,000 10,000 8,000 6,000 4,000 2,000 0
GIS in Transit: September 2nd, 2015 13 Demand Response Data: Origin-Destinations Map Data: Esri, DeLorme, NAVTEQ
GIS in Transit: September 2nd, 2015 14 Demand Response Data: Origin-Destination Pairing
GIS in Transit: September 2nd, 2015 15 Demand Response Data: Vehicle Loads
GIS in Transit: September 2nd, 2015 16 Demand Response Data: Daily Vehicle Loads – Mandeville Map Data: Esri, DeLorme, NAVTEQ
GIS in Transit: September 2nd, 2015 17 Demand Response Data: Daily Vehicle Loads – Slidell Map Data: Esri, DeLorme, NAVTEQ
GIS in Transit: September 2nd, 2015 18 THANK YOU!
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