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Potential Sites for Transit-Oriented Development in San Diego Katie Lemmon UP 206 A Final Project March 14, 2011.

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Presentation on theme: "Potential Sites for Transit-Oriented Development in San Diego Katie Lemmon UP 206 A Final Project March 14, 2011."— Presentation transcript:

1 Potential Sites for Transit-Oriented Development in San Diego Katie Lemmon UP 206 A Final Project March 14, 2011

2 Policy Question Where should SANDAG and the City of San Diego work together to prioritize transit- oriented development and what tools will help these agencies collaborate?

3 TOD Overview Successful transit- oriented development (TOD) needs: – high density of people – access to transit and amenities – inhabitants who will actually take transit or non-car modes

4 Goal Identify areas with a high potential for successful TOD within ¼ mile of bus rapid transit and express bus stops and routes (existing and proposed) Create tool for inter-agency collaboration and data sharing Bus rapid transit is one proposed solution to combat region-wide mobility issues in San Diego Photo credit: Denis Desmond, MTS

5 Methodology – Identify express bus routes and stops in San Diego – Rank census tracts based on TOD demographics: Population density – weighted 1 because it’s an important component of TOD Workers who commute using alternatives to cars – weighted 2 because it is more important than density Workers with no vehicles – weighted 2 because indicates transit need and is as – Within identified census tracts, create ¼ buffer around existing express bus stops and proposed rapid route – Identify redevelopment areas, if any – Identify online tools for collaboration

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8 Ranking based on: Population density Alternative mode commuters Workers with no vehicles Selected Top 5 Highest Ranked Tracts

9 Ranking based on: Population density Alternative mode commuters Workers with no vehicles

10 4 TOD tracts are within City’s redevelopment area 1 TOD tract is not in redevelopment area and will not be considered for further study

11 Proposed Rapid Transit SANDAG’s proposed Mid-City Rapid line – BRT route – One segment of an integrated regional network – Will connect to existing express route along I-15

12 Proposed Rapid Transit: Original Data Metadata for Mid- City Rapid proposed route Shapefile created by drawing bus route and stops Based on image from oving.com (SANDAG project website)

13 *Note: ¼ mile buffer around proposed route not just proposed stops because feeder routes stop and connect along proposed route

14 Combination of two buffers: 1.¼ mile buffer around proposed route and 2.¼ mile buffer around existing express bus stops

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16 Google Mash Up: Real World Collaboration Tool Steps: 1.Create model to convert files to KMZ 2.Research for-sale parcels online as of 3/14/11 3.Geocode for-sale parcels 4.Write html 5.Display layers on Google map 6.SANDAG and the City can share maps

17 Google Mash-Up: For Sale Properties Near Priority Parcels

18 Skills Aggregating attribute fields -- combined alternative means to work fields into one field Inset map -- locating City of San Diego Attribute sub-set selection – selected express bus routes and stops from dataset of all transit modes Created index – selected and weighted three variables to create index of high-potential tracts for TOD Buffering – ¼ mile radius around express bus stops Geoprocessing – intersect tool to show areas within census tracts that are ¼ mile from express bus stops

19 Skills continued Modeling – conversion tool to convert multiple layers to KMZ files Metadata – created for original data Original Data – created line shapefile for proposed bus route, created point shapefile for proposed bus stops Measurement/Analysis – buffer, intersect, union and dissolve tools to identify solution to policy question Google Mash-Up – wrote html file to include proposed route layer, priority area layer, geocoded for-sale properties Seven Layers – layout of ¼ mile buffers around existing stops and proposed route has seven layers

20 Sources SANDAG SanGIS UCLA MapShare ESRI-TIGER American Community Survey US Census Bing maps Google maps

21 Thank you!


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