APPLICATION OF A PARCEL-BASED SUSTAINABILITY TOOL TO ANALYZE GHG EMISSIONS

Transcription

1 APPLICATION OF A PARCEL-BASED SUSTAINABILITY TOOL TO ANALYZE GHG EMISSIONS Jung Seo, Hsi-Hwa Hu, Frank Wen, Simon Choi, Cheol-Ho Lee Research & Analysis Southern California Association of Governments 2012 ESRI International User Conference San Diego Convention Center July 24, 2012, San Diego, CA

2 Southern California Association of Governments (SCAG)

3 SCAG Quick Facts Nation s largest Metropolitan Planning Organization (MPO) 6 counties, 191 cities and 38,000+ square miles. 18 million people (5.8% of US population; 48.5% of California population) GRP in 2010: $910 Billion, 16th largest economy in the world 10,000 lane miles of freeway; 4 major airports; Nation s global gateway for trade 3

4 Research Objective Greenhouse Gas (GHG) emission is directly linked to travel distance of a vehicle. Vehicle miles of travel (VMT) is used to estimate overall GHG emissions. This research is to use a parcel-based transportation model to analyze the impact of land use scenario on travel behavior and GHG emissions. 4

5 California Senate Bill 375 (SB 375) Nation s first law to control GHG through coordination between land use planning and transportation planning Sustainable Community Strategies (SCS) to demonstrate how the region will meet the GHG emission targets through integrated land use and transportation planning Reductions in GHG emissions from automobiles and light duty trucks Common approach to measure the effectiveness of various SCS is to examine the associated VMT of each strategy.

6 Land Use and Regional Transportation Plan SB 375 promotes Transit-Oriented Development (TOD) as a land use approach to reduce GHG emissions in the Regional Transportation Plan (RTP). TOD High residential density, mixed use, proximity to major transit stops, less reliance on a car, and more use of non-motorized modes. SCAG develops a TOD land use scenario as an element for the 2012 RTP. Regional GHG emission will be reduced if more housing supply in TOD areas.

7 SCAG NHTS Model The model is estimated by using the 2009 National Household Travel Survey (NHTS). This model is termed the SCAG NHTS Model. The model is to estimate average VMT per household. Weekday travel Passenger vehicles and light trucks Trip production within SCAG region The model does not consider: Group quarter population Self selection Relationship between land use policy and residential location choice

8 Modeling Approach INPUT DATA Household Socioeconomic data Neighborhood Land Use Charicteristics Level of Transit Services Residence in TOD Area Regional Accessibility (by Auto and Bus) MODELS Mid-term Choice Vehicle Ownership Model (Output: # Household Vehicles) Short-term Choice Vehicle Trip Model (Output: % Household Making Vehicle Trips) Mode Share Model (Output: Household Mode Share) Household VMT Model (Output: Average Household VMT) Daily Trip Model (Output: # Household Daily Trips) 8

9 Variable Description & Data Sources Household Travel Data (Dependent Variables) 2009 NHTS Socioeconomic Characteristics 2009 NHTS 2009 NHTS No. of HH members by working status and by age cohorts, median HH income Accessibility TAZ regional job accessibility by auto and local bus Gravity model type, zone-zone time as impedance SCAG model output Job-household Ratio Within 5 miles of household TAZ SCAG TAZ socioeconomic data

10 Variable Description & Data Sources (cont.) Neighborhood Land Use (TAZ or ¼ mile buffer of each sampled household) Household Density & Employment Density SCAG parcel database (1/4 mi. buffer) Street Connectivity SCAG network (1/4 mi. buffer) Job Diversity SCAG TAZ employment by 13 industries Bus Stop Density TOD area Local bus with headway < 15 minutes, SCAG transit network ½ miles buffer of rail stations or major bus stops

11 Neighborhood Household Density ( Select Parcels within ¼ Mile Buffer of Each Household ) Parcel ID:

12 Neighborhood Household Density (cont.) ( Select Residential Parcels within ¼ Mile Buffer ) Parcel ID:

13 Neighborhood Household Density (cont.) ( Sum up the Number of Households within ¼ Mile Buffer ) Parcel ID: Total Households within ¼ Miles of Parcel : 2,624 HH 13

14 Neighborhood Household Density (cont.) ( Divide Total Households by Area ) Total Households within ¼ Miles Buffer: 2,624 HH Acreage of ¼ Mile Buffer: Acres Neighborhood Household Density: 20.9 ( 2,624 HH / Acres ) Parcel ID:

15 Neighborhood Household Density (cont.) ( Calculate the Household Density for the Entire Parcels ) 15

16 Study Area 16

17 Existing Land Use ( 2008 ) 17

18 Household Density within 1/4 Mile Buffer ( 2008 ) 18

19 Household Density within 1/4 Mile Buffer ( 2035 Plan ) 19

20 Household Density Change ( 2008 to 2035 Plan ) 20

21 Employment Density within 1/4 Mile Buffer ( 2008 ) 21

22 Employment Density within 1/4 Mile Buffer ( 2035 Plan ) 22

23 Employment Density Change ( 2008 to 2035 Plan ) 23

24 Walkability Index within 1/4 Mile Buffer ( 2008 ) 24

25 Walkability Index within 1/4 Mile Buffer ( 2035 Plan ) 25

26 Walkability Index Change ( 2008 to 2035 Plan ) 26

27 Bus Accessibility ( 2008 ) 27

28 Bus Accessibility ( 2035 Plan ) 28

29 Bus Accessibility Change ( 2008 to 2035 Plan ) 29

30 Mode Share Auto Driver ( 2008 ) 30

31 Mode Share Auto Driver ( 2035 Plan ) 31

32 Mode Share Change Auto Driver ( 2008 to 2035 Plan ) 32

33 Mode Share Transit Passenger ( 2008 ) 33

34 Mode Share Transit Passenger ( 2035 Plan ) 34

35 Mode Share Change Transit Passenger ( 2008 to 2035 Plan ) 35

36 Mode Share Non-Motorized Modes ( 2008 ) 36

37 Mode Share Non-Motorized Modes ( 2035 Plan ) 37

38 Mode Share Change Non-Motorized Modes ( 2008 to 2035 Plan ) 38

39 Mode Share Change SCAG Region ( 2008 vs Plan ) Mode Share Plan % Diff Auto (Driver) % Auto (Passenger) % Transit % Non-Motorized % Other % 39

40 Reliance on Automobile ( 2008 ) 40

41 Reliance on Automobile ( 2035 Plan ) 41

42 Change in Reliance on Automobile ( 2008 to 2035 Plan ) 42 (Source: SCAG NHTS Model, ESRI World Imagery)

43 Vehicle Miles of Travel (VMT) ( 2008 ) 43

44 Vehicle Miles of Travel (VMT) ( 2035 Plan ) 44

45 VMT Per Household ( 2008 ) 45

46 VMT Per Household ( 2035 Plan ) 46

47 VMT Per Household Study Area ( 2008 vs Plan ) VMT / HH Plan % Diff TOD Area Total % Rail TOD Area % Bus TOD Area % Non-TOD Area Total % Study Area Total % 47

48 Conclusion The model produces reasonable results and is sensitive to land use characteristics. Impacts of Transit-Oriented Development (TOD) on GHG reduction High residential density Street connectivity Proximity to transit stops More use on transit and nonmotorized modes Less reliance on automobile Less Vehicle miles of travels (VMT) Reductions in GHG emissions 48

49 Thank you! Jung Seo Southern California Association of Governments