Identifying Potential Carsharing Locations in Central ... · potential locations ( ¼ Mile Buffer )...
Transcript of Identifying Potential Carsharing Locations in Central ... · potential locations ( ¼ Mile Buffer )...
Identifying Potential Carsharing Locations in C l Fl id U i GISIdentifying Potential Carsharing Locations in C l Fl id U i GISCentral Florida Using GISCentral Florida Using GIS
Presented By:Presented By:
Douglas Lynch, GISPDouglas Lynch, GISP
2009 ESRI Int’l Users Conference 2009 ESRI Int’l Users Conference
AgendaAgenda
Transportation Issues Facing Central Florida
FDOT District 5 Strategies for Addressing Traffic Issues in Central FloridaCarsharing: What is it?
Creating a GIS-based Suitability Model to Locate Potential Carsharing Parking Lot locationsSuitability Results and Next Steps……ConclusionsConclusionsQuestions and Answers
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Identifying Potential Identifying Potential CarsharingCarsharing Locations in Central Florida Using GISLocations in Central Florida Using GIS
Transportation Issues Facing Central FloridaTransportation Issues Facing Central Florida
Growing Population
Lack of Multi-Modal OptionsLight RailgCommuter RailStreetcar / Bus Rapid Transit (BRT)
Decreased Funding and Land f R d I tfor Road Improvement
Increased Demand for Transportation Demand Increased Demand for Transportation Demand Management (TDM). TDM is focus of new Regional CAP.
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Identifying Potential Identifying Potential CarsharingCarsharing Locations in Central Florida Using GISLocations in Central Florida Using GIS
FDOT District 5 Strategies for Addressing Traffic Concerns in Central FloridaFDOT District 5 Strategies for Addressing Traffic Concerns in Central Florida
TDM Strategies FDOT District 5 UsesCommuter Assistance Program (CAP) Coordination between Commuter Assistance Program (CAP) Coordination between SCAT, Votran, and LYNXPark & Ride ProgramgShare-A-Ride ProgramRidematchingAlternative Transportation Campaigns (“Dump The Pump”)
Additional new strategy that is now being implemented is Additional new strategy that is now being implemented is Carsharing.
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What is Carsharing?What is Carsharing?
car‐sharing (carsharing)Definition:A short‐term car use arrangement ‐ a car use service whereby
t h i b fcustomers who sign up as members can reserve a car forperiods of time for an hourly fee, can pick up the car at adesignated place in the community and then return the car todesignated place in the community, and then return the car tothe same location.
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Identifying Potential Identifying Potential CarsharingCarsharing Locations in Central Florida Using GISLocations in Central Florida Using GIS
Carsharing in Florida – Why Does Central Florida Need It?Carsharing in Florida – Why Does Central Florida Need It?
Alleviate Traffic Congestion
Mitigate Traffic Impacts Due to Road ConstructionProvide the “Missing Link” for TransitTrip Chaining and Support for Rail / Transit Projects (TOD)Trip Chaining and Support for Rail / Transit Projects (TOD)Increase Quality of LifeProvides “Snow Birds”, RV Travelers, and Part-Time Residents with a Transportation AlternativepSupports “Green” Initiatives and Goals set by the Governor
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Identifying Potential Identifying Potential CarsharingCarsharing Locations in Central Florida Using GISLocations in Central Florida Using GIS
GIS Data Setup for the Carsharing Suitability ModelGIS Data Setup for the Carsharing Suitability Model
FDOT District 5 decided to use GIS as the means to identify the most suitable potential carsharing parking locationsthe most suitable potential carsharing parking locations
Good, reliable geospatial data to rely on (Decision Support System)
Carsharing suitability model to integrate these variables:Carsharing suitability model to integrate these variables:Employment DensityPopulation DensityPopulation DensityAADT (Daily Traffic Volume) DensityDevelopments of Regional Impact (DRI) LocationsDevelopments of Regional Impact (DRI) LocationsExisting Land Use – Developed Lands (High Density Residential, and Commercial))Proximity to Transit Bus Stop locations and potential Commuter Rail Stations (SunRail) – TOD Impact
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Identifying Potential Identifying Potential CarsharingCarsharing Locations in Central Florida Using GISLocations in Central Florida Using GIS
2000 Employment Density Input – From FDOT D5 CFRPM Model 2000 Employment Density Input – From FDOT D5 CFRPM Model
Utilized 2000 ZData (Districtwide)Socioeconomic Data by TAZ for Socioeconomic Data by TAZ for employment density (persons/acre)
Used Spatial Analyst to create grid Used Spatial Analyst to create grid and reclassed using the following Employment Density to Carsharing Employment Density to Carsharing Suitability Comparison:
Greater than 10.0 = 5 High
5.1 – 10.0 = 43.1 – 5.0 = 3
g
1.1 – 3.0 = 2Less than or = to 1.0 = 1 Low
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Identifying Potential Identifying Potential CarsharingCarsharing Locations in Central Florida Using GISLocations in Central Florida Using GIS
2000 Population Density Input – From FDOT D5 CFRPM Model 2000 Population Density Input – From FDOT D5 CFRPM Model
Utilized 2000 ZData (Districtwide)Socioeconomic Data by TAZ for Socioeconomic Data by TAZ for population density (persons/acre)
Used Spatial Analyst to create grid Used Spatial Analyst to create grid and reclassed using the following Population Density to Carsharing Population Density to Carsharing Suitability Comparison:
Greater than 10.0 = 5 High
5.1 – 10.0 = 43.1 – 5.0 = 3
g
1.1 – 3.0 = 2Less than or = to 1.0 = 1 Low
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Identifying Potential Identifying Potential CarsharingCarsharing Locations in Central Florida Using GISLocations in Central Florida Using GIS
2008 Annual Average Daily Traffic (AADT) Density Input2008 Annual Average Daily Traffic (AADT) Density Input
Utilized 2008 FDOT AADT DataFocus was to determine cluster areas of Focus was to determine cluster areas of most traveled roadways in District 5
Used Spatial Analyst to create grid Used Spatial Analyst to create grid and reclassed using the following AADT Density to Carsharing y gSuitability Comparison:
Greater than 75,000 = 5 High
50,001 – 75,000 = 430,001 – 50,000 = 3
g
, ,15,001 – 30,000 = 2
Less than or = to 15,000 = 1 Low
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Identifying Potential Identifying Potential CarsharingCarsharing Locations in Central Florida Using GISLocations in Central Florida Using GIS
Developments of Regional Impact (DRI) InputDevelopments of Regional Impact (DRI) Input
Utilized DRI locationsDetermined whether the lands are a Determined whether the lands are a DRI location or not in District 5.
Used Spatial Analyst to create grid Used Spatial Analyst to create grid and reclassed using the following DRI Location to Carsharing gSuitability Comparison:
DRI Location = 5 Highg
Not a DRI Location = 1 Low
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Existing Land Use InputExisting Land Use Input
Utilized Existing Land Use DataDeveloped Lands (Parcel Level)Developed Lands (Parcel Level)High Density Res., Commer., Pub/Inst.
Used Spatial Analyst to create grid Used Spatial Analyst to create grid and reclassed using the following Existing Land Use to Carsharing Existing Land Use to Carsharing Suitability Comparison:
Developed Land Use = 5 Highp g
Undeveloped or Undevelopable = 1 Low
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Identifying Potential Identifying Potential CarsharingCarsharing Locations in Central Florida Using GISLocations in Central Florida Using GIS
Proximity to Transit InputProximity to Transit Input
Utilized Proximity to Transit Data¼ Mile Buffer of Bus Stop Locations¼ Mile Buffer of Bus Stop Locations¼ Mile Buffer of Potential Commuter Rail Train Stations (CRT) - SunRail( )
Used Spatial Analyst to create grid and reclassed using the following g gProximity to Transit to Carsharing Suitability Comparison:
Within ¼ mile of Stop/CRT Station = 5 High
Outside ¼ mile of Stop/CRT Station= 1 Low
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Identifying Potential Identifying Potential CarsharingCarsharing Locations in Central Florida Using GISLocations in Central Florida Using GIS
Setup Suitability Model Weighted Overlay in ArcToolboxSetup Suitability Model Weighted Overlay in ArcToolbox
FDOT District 5 decided Population and Employment Density should be weighted higher than the other Density should be weighted higher than the other variables.Go into ArcToolbox\Spatial Analyst Tools\OverlayGo into ArcToolbox\Spatial Analyst Tools\OverlaySetup % influence of reclassed rasters
Run Suitability Model process……
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Identifying Potential Identifying Potential CarsharingCarsharing Locations in Central Florida Using GISLocations in Central Florida Using GIS
Carsharing Suitability Model Results Are In…….Carsharing Suitability Model Results Are In…….
GIS Results conveyed that the Urban Core of Orlando could Urban Core of Orlando could best support new Carsharingprograms in District 5.p gBased upon 1-5 Ranking SystemThe next steps were to begin The next steps were to begin focusing a micro-level look at specific areas such as:specific areas such as:
City HallMedical DistrictsMedical DistrictsCentral Business DistrictUrban Villages
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Identifying Potential Identifying Potential CarsharingCarsharing Locations in Central Florida Using GISLocations in Central Florida Using GIS
U ba ages
Select Potential SitesSelect Potential Sites
Developed a map showing all potential Carsharing parking lot potential Carsharing parking lot locations that were identified by FDOT District 5Micro-level GIS analysis of all potential locations ( ¼ Mile Buffer )potential locations ( ¼ Mile Buffer )
Employment DensityPopulation DensityPopulation DensityDRI and Planned Unit DevelopmentsExisting Land UseExisting Land UseFuture Land UseTransit Service (Existing and Future)
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Identifying Potential Identifying Potential CarsharingCarsharing Locations in Central Florida Using GISLocations in Central Florida Using GIS
( g )
Micro-Level Analysis Map ExamplesMicro-Level Analysis Map Examples
Future Land Use Transit Facilities
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Identifying Potential Identifying Potential CarsharingCarsharing Locations in Central Florida Using GISLocations in Central Florida Using GIS
Carsharing Suitability Report Generated Based on GIS FindingsCarsharing Suitability Report Generated Based on GIS Findings
Report focused on identifying most suitable location based upon suitable location based upon additional carsharing dependent variables.
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Identifying Potential Identifying Potential CarsharingCarsharing Locations in Central Florida Using GISLocations in Central Florida Using GIS
Next Steps….Next Steps….
FDOT District 5 to determine priority carsharing parking lot location based upon Carsharing Suitability Reportlot location based upon Carsharing Suitability Report.Identify vacant on-street parking sports that is owned by th Cit f O l d ithi t t f i iti d the City of Orlando within target area of prioritized carsharing parking lot location from GIS analysis.Gain synergy from stakeholders (LYNX, etc.)Utilize FDOT District 5 CAP Program to begin the Utilize FDOT District 5 CAP Program to begin the Carsharing Program in Central Florida!!!!!
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Identifying Potential Identifying Potential CarsharingCarsharing Locations in Central Florida Using GISLocations in Central Florida Using GIS
ConclusionsConclusions
GIS is a powerful tool that determined priority parking lot locations suitable for implementing a Carsharing locations suitable for implementing a Carsharing Program
G d li bl d t i iti l t hi i d i bl d Good, reliable data is critical to achieving desirable and useful results
For the project to be successful it requires a thorough understanding of all data used for the inputs and rigorous quality control checks on the data and GIS processes from the GIS professional.
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Identifying Potential Identifying Potential CarsharingCarsharing Locations in Central Florida Using GISLocations in Central Florida Using GIS
Identifying Potential Carsharing Locations in Identifying Potential Carsharing Locations in Central Florida Using GISCentral Florida Using GIS
For Further Information Contact:
K Ad QUESTIONS???QUESTIONS???Karen AdamsonFDOT District [email protected]
QUESTIONS???QUESTIONS???
Thank You!!!Thank You!!!(407) 482-7861
Andy Nicol, AICPTranSystems
Thank You!!!Thank You!!!
[email protected](407) 875-8926
Presented By: Douglas Lynch, GISP dwlynch@transystems com
Presented By: Douglas Lynch, GISP dwlynch@transystems [email protected]
(407) 875-8938
(407) 875-89382009 ESRI Int’l Users Conference 2009 ESRI Int’l Users Conference