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Downtown LA as Large- Scale TOD?

Downtown LA as Large-Scale TOD?

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Downtown LA as Large-Scale TOD?. Study Area. Study Area. New Residences. Downtown Has Extensive Transit Service Available Throughout Area. Downtown Has Extensive Transit Service Available Throughout Area. - PowerPoint PPT Presentation

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Page 1: Downtown LA as Large-Scale TOD?

Downtown LA as Large-Scale TOD?

Page 2: Downtown LA as Large-Scale TOD?

STUDY AREA

Study Area

Page 3: Downtown LA as Large-Scale TOD?

NEW RESIDENCES

Page 4: Downtown LA as Large-Scale TOD?

Downtown Has Extensive Transit Service Available Throughout Area

Page 5: Downtown LA as Large-Scale TOD?

Downtown Has Extensive Transit Service Available Throughout Area

Page 6: Downtown LA as Large-Scale TOD?

IN THE PAST 10 YEARS, MOST TRACTS HAVE SEEN DECREASES IN WALKING AND PUBLIC TRANSIT USE, AND INCREASES IN COMMUTE TIME

Changes in Commuting Behavior

Page 7: Downtown LA as Large-Scale TOD?

INDEX OF COMMUTE CHANGES

Index = Public Transit + Walking + Commute Time

Page 8: Downtown LA as Large-Scale TOD?

TRACTS WITH MOST NEW APARTMENTS GENERALLY HAVE SEEN INCREASES IN MEDIAN INCOME

Changes in Median Income by Census Tract

Page 9: Downtown LA as Large-Scale TOD?

Models

Model One Used to Project Tracts

Model Two Used to Create Rasters

Page 10: Downtown LA as Large-Scale TOD?

Metadata

Page 11: Downtown LA as Large-Scale TOD?

Skills Used

1) Geocoding – Addresses of apartments and condominiums built between 2000 and 2009

2) Geoprocessing – Clipping . . . lots of clipping

3) Buffering – Buffer of one mile radius around employment centers

4) Indexing – Index of changes in commute patterns

5) Spatial Analyst – Creation and reclassification of rasters

6) Hot Spot Analysis – Identification of locations with most changes in commuting patterns

Page 12: Downtown LA as Large-Scale TOD?

Skills Used

7) Aggregating Attribute Fields – Creation of fields for changes in commute types and times.

8) Boundary Sub-Set Selection – Selection of Los Angeles tracts from larger shapefile.

9) Graduated Colors – Identification of differing levels income, transit use and walking among tracts.

10) Attribute Sub-Set Selection – Selecting major roads from larger shapefile.