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How Did Metro Boston Grow? 2000-2010

How Did Metro Boston Grow? 2000-2010. 11.521 – Spatial Database Management and Advanced GIS Final Presentation Group Members: Amy Jacobi, Eric Schultheis, Nse Umoh , Rob Goodspeed, Samira Thomas Prof. Joseph Ferreira. Presentation Outline. Project Goals Process Methodology Results

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How Did Metro Boston Grow? 2000-2010

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  1. How Did Metro Boston Grow?2000-2010 11.521 – Spatial Database Management and Advanced GIS Final Presentation Group Members: Amy Jacobi, Eric Schultheis, NseUmoh, Rob Goodspeed, Samira Thomas Prof. Joseph Ferreira

  2. Presentation Outline • Project Goals • Process • Methodology • Results • Conclusions

  3. Project goals

  4. Project Goals • Evaluate growth patterns in the metro-Boston between 2000 and 2010. • Compare observed growth in the last decade with the MetroFuture scenarios: Let It Be and Winds of Change. • Understand the effect of observed growth on greenhouse gas emissions by private vehicles.

  5. Process

  6. Process Map Allocation to Residential Areas Allocation to Sensible Geographies Evaluating Growth in metro-Boston Input Data Allocation to 25m Grid Land Use Polygons (1999 & 2005) ‘Non-Residential’ Block Finder Results Geoprocessing Allocation to 250m Grid Census Block Populations Allocation Model Allocation to TAZ VMT (205m Grid) MetroFuture Scenarios(TAZs)

  7. Methodology

  8. Conflicting Topographies: An Example Area

  9. Conflicting Topographies

  10. Conflicting Topographies

  11. The Grid(s)

  12. Resolving Conflicts with the Grid (25m)

  13. Allocation to Residential Areas • Identify residential and institutional land uses. • Identify blocks that do not intersect residential land use areas. • Land use allocation • Sliver Finder • Integrate Census Blocks (2000, 2010) and residential land uses • Calculate areas, perimeter, and area/perimeter ratio • Eliminate features with areas less than 400 sqm and area/perimeter ratio less than 1 • Population/housing unit allocation model (Access) • Paloc= P * (A + L) / 2 • A = land use area % of total area of Block, L = land use area % of residential area in Block

  14. ArcGIS Models: Allocating to Residential Areas Model to Identify Block that do not Intersect with Residential Areas Model to Allocate to Residential Areas

  15. Allocation to Residential Areas

  16. Allocation to Sensible Geographies • Merge allocated residential areas with ‘missed’ blocks forming an allocated areas polygon file. • Calculate the number of 25m grid centroids that fall in each allocated areas polygon. • Identify allocated areas polygons with no 25m grid centroids. • Convert the allocated areas polygons to 25m grid celss. • Aggregate allocated 25m grid cells to 250m grid cells (add in population missed by 25m grid method). • Aggregate allocated 25m grid cells to TAZs (add in population missed by 25m grid method).

  17. ArcGIS Models: Allocating to Sensible Geographies Model to Merge Habitable Area and Populated Blocks with no Residential Area. Model to Allocate to 25m Grid and then Aggregate to 250m Grid (due to resolution of 25m grid, metro-Boston area must be divided into 32 slivers and the model needs to be ran for each sliver )

  18. Allocation to Sensible Geographies

  19. Comparing 11.521 & MassGIS Allocations

  20. The Allocation: A Regional View

  21. Results

  22. Metro Boston Population by Community Type

  23. Metro Boston Population Proportion by Community Type

  24. Metro Boston Housing Units By Community Type

  25. Metro Boston Housing Units Proportion, by Community Type

  26. Change in Proportion of Population in CODAs, since 2000

  27. Population Change (Percent & Raw) by Town, since 2000

  28. Housing Unit Change (Percent & Raw) by Town, since 2000

  29. Histogram of Average Household Vehicle Miles Traveled by Grid Cell

  30. Average Household Vehicle Miles Traveled by Community Type

  31. Average Household Vehicle Miles Traveled by Community Type & CODA

  32. Average Household Vehicle Miles Traveled by CODA

  33. Population Change by CODA, since 2000

  34. Growth by Average Household Vehicle Miles Traveled Area Type

  35. Growth by Average Household Vehicle Miles Traveled Area Type

  36. Growth by Average Household Vehicle Miles Traveled Area Type The two lowest VMT categories (less than 10,000 miles per Household per year) , which accounted for 20% of the regions is land, contained 56% of the region’s growth over the past decade. Greenfield development, which occurred in 3% of the region’s area, contributed 43% of the population growth for the metro-Boston region. The average household VMT for these cells was over 1,000 miles higher than the average household VMT for the metro-Boston region (13,186 vs. 12,037).

  37. Conclusions

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