Development of Spatial Allocation Factors for the SCOS97 Domain Prepared by: Tami H. Funk Lyle R. Chinkin Sonoma Technology, Inc. Petaluma, CA Under contract.

Slides:



Advertisements
Similar presentations
Presented to the Sully District Council of Civic Association
Advertisements

Draft STI DWB By Hilary H. Main Paul T. Roberts Sonoma Technology, Inc Redwood Way, Suite C Petaluma, CA Prepared for the U.S.
1 Estimating On-Road Vehicle Emissions Using CONCEPT Alison K. Pollack Ralph Morris ENVIRON International Corporation.
South Jersey Rail Past, Present and Future John J Reiser Senior Seminar.
BEN ANDERSON PROJECT MANAGER UNIVERSITY OF LOUISVILLE CENTER FOR HAZARDS RESEARCH AND POLICY DEVELOPMENT Using Dasymetric Mapping.
GIS for Title VI Compliance
 Matt Gates.  Forecast sprawl  Guide long-range population and employment forecasts o For the region o For individual counties  Allocate growth to.
Intercity Person, Passenger Car and Truck Travel Patterns Daily Highway Volumes on State Highways and Interstates Ability to Evaluate Major Changes in.
GIS: The Grand Unifying Technology. Introduction to GIS  What is GIS?  Why GIS?  Contributing Disciplines  Applications of GIS  GIS functions  Information.
Urban Land Use (chapter 21)
Introduction to GIS Ghassan Mikati, Ph.D GIS Expert.
Gridded Population of the World Version 2: 1995 UN adjusted population density Gridded Population Workshop May 2-3, 2000.
The Roll of GIS In School Board Planning. Presentation Overview ► Introduction ► Board’s Roll in the Planning Process ► GIS at York Catholic ► GIS At.
U.S. Department of the Interior U.S. Geological Survey Characterizing the Landscape for Water-Quality Analysis Methods and implementation 2006 National.
UNDERSTANDING SPATIAL DISTRIBUTION OF ASTHMA USING A GEOGRAPHICAL INFORMATION SYSTEM Mohammad A. Rob Management Information Systems University of Houston-Clear.
1 Microsimulation of Businesses in ILUMASS Part 1: Introduction and Generating Synthetic Businesses Rolf Moeckel and Michael Wegener Workshop of the Land.
Data Quality Data quality Related terms:
Implementing HAZUS-MH in Pre-Disaster Mitigation
Local Government Perspectives on Siting Criteria for Localized Air Pollution Sources “How do cities balance the goals of creating housing and employment.
URBAN LAND-USE.
NATIONAL ENVIRONMENTAL RESEARCH INSTITUTE AARHUS UNIVERSITY Marlene Plejdrup, MSc. physical geography Stockholm 4/ SPATIAL DISTRIBUTION OF EMISSIONS.
UrbanFootprint Module 3: Base Data Preparation and Updating Materials prepared with funding support from the California Governor’s Office of Planning and.
Regional Development, Population Trend, and Technology Change Impacts on Future Air Pollution Emissions in the San Joaquin Valley Michael Kleeman Deb Niemeier.
Session 131 A community profile provides a base for overlay analysis and for discussing a hazard’s impacts on a community.
Design for Health May 2007 Preliminary Checklist Cairssa Schively Design for Health.
United Nations Regional Seminar on Census Data Dissemination and Spatial Analysis Amman, Jordan, May, 2011 Spatial Analysis & Dissemination of Census.
Improving Security, Systems, and Statistics San Diego, CA June 4 th – 8 th, 2006 Developing a Community Health Information System NAPHSIS Conference –
Data Development Common Issues for UPLAN and I-PLACE3S.
COMPARISON OF LINK-BASED AND SMOKE PROCESSED MOTOR VEHICLE EMISSIONS OVER THE GREATER TORONTO AREA Junhua Zhang 1, Craig Stroud 1, Michael D. Moran 1,
Descriptive Analysis Database Archive monitoring network locations, climate, emissions, wildfires, census, political, physical, and image databases Databases.
Descriptive Analysis Database Archive monitoring network locations, climate, emissions, wildfires, census, political, physical, and image databases Databases.
Geographic Information Systems Patty McGray University of Phoenix EDTC 560 Applications of Multimedia and Web Page Design Janet Wright November 17, 2004.
Using ArcView to Create a Transit Need Index John Babcock GRG394 Final Presentation.
UPlan: How It Works and How to Get Started A description for the rest of us Nathaniel Roth Information Center for the Environment University of California,
Neighborhood Commercial on 5601 North Pine Hills Road Small Scale Land Use Amendment Application for.
Remote Sensing Classification Systems
Prof. Dr. S. Shabih-ul-Hassan Zaidi Department of Architecture, University of Engineering & Technology, Lahore.
Soontae Kim and Daewon W. Byun Comparison of Emission Estimates from SMOKE and EPS2 Used for Studying Houston-Galveston Air Quality Institute for Multidimensional.
WRAP Fugitive Dust Emission Summary and Evaluation (AoH Phase II/TSS Task 7b) ENVIRON International Corporation 15 November 2005 Tempe, AZ.
EPA’s Development, Community and Environment Division: T ools for Evaluating Smart Growth and Climate Change February 28, 2002 Ilana Preuss.
Modeling and Forecasting Household and Person Level Control Input Data for Advance Travel Demand Modeling Presentation at 14 th TRB Planning Applications.
The MIMS Spatial Allocator: A Tool for Generating Emission Surrogates without a Geographic Information System* Alison M. Eyth, Kimberly Hanisak Carolina.
CH 14 SECT 1 & 2 LAND USE. LAND USE AND LAND COVER We use land for many purposes, including farming, mining, building cities and highways, and recreation.
Modeling Wildfire Emissions Using Geographic Information Systems (GIS) Technology and Satellite Data STI-3009 Presented by Neil J. M. Wheeler Sonoma Technology,
November 28, 2006 CCOS On-Road Allocation Factors Page 1 Spatial & Temporal Allocation of On-Road Emissions CCOS Technical Committee November 28, 2006.
How Did Metro Boston Grow? – Spatial Database Management and Advanced GIS Final Presentation Group Members: Amy Jacobi, Eric Schultheis,
How Did Metro Boston Grow? – Spatial Database Management and Advanced GIS Final Presentation Group Members: Amy Jacobi, Eric Schultheis,
Atlanta Regional Commission Tom Weyandt, Department Director Comprehensive Planning May 2008.
Improvements to the Spatial and Temporal Representativeness of Modeling Emission Estimates: Phase 1 Findings and Recommendations Presented by: Lyle R.
IT Geostat Population Grid 2011 Raffaella Chiocchini – Stefano Mugnoli Istat – Italian National Institute of Statistic Luca Congedo – Michele Munafò ISPRA.
Public Workshop UCLA March 4, 2005 Draft Air Quality and Land Use Handbook: A Community and Health Perspective.
Overview What is geography? What is geographic information?
An AQ Assessment Tool for Local Land Use Decisio ns 13 th TRB Transportation Planning Applications Conference May 9, 2011 Reno, Nevada Mark Filipi, AICP.
PAGE 1 An adaptation of SMOKE for Europe Johannes Bieser Armin Aulinger, Volker Matthias, Markus Quante GKSS Research Center Geesthacht, Germany.
Defining Alternative Scenarios MTC Planning Committee and ABAG Administrative Committee May 13, 2011.
Using GIS Technology for Emission Inventory and Air Quality Applications Prepared by: Tami H. Funk Lyle R. Chinkin Sonoma Technology, Inc. Petaluma, CA.
Context: the Governor’s Climate Roadmap Overall goals –quantify the relationship between land use and transportation sector greenhouse gas (GHG) emissions.
Weekday/Weekend Ozone in the SoCAB: Supplemental Data Collection for Emissions Activities Prepared by: Sonoma Technology, Inc. Petaluma, CA Presented to:
Land cover change in the Travis county GIS in Water Resources Fall 2015 University of Texas at austin Julie C Faure.
Impervious Surface Area of the Conterminous United States Christopher D. Elvidge John B. Dietz Paul S. Sutton.
GIS and the Built Environment: An Overview Phil Hurvitz UW-CAUP-Urban Form Lab GIS and the Geography of Obesity Workshop August 3, 2005.
Regional Policy Towards indicators of proximity to services in Europe's major cities Enhancing the analytical use of the GMES Urban Atlas in combination.
Spatial analysis for neighborhood accessibility GIS Water Resources Anna Okola.
LAKE FOREST SPORTS PARK SCOPING MEETING JUNE 23, 2009.
Transportation Modeling Options for City Departments LSA Associates, Inc. City of Fort Collins January 2001.
SMOKE-MOVES Processing
Urban Land Use (chapter 21)
NONROAD Model Sensitivity to Temperature
Urban Land Use (chapter 21)
Spatial Methodology Introduction Outline of draft Chapter Highlights
Presentation transcript:

Development of Spatial Allocation Factors for the SCOS97 Domain Prepared by: Tami H. Funk Lyle R. Chinkin Sonoma Technology, Inc. Petaluma, CA Under contract to: California Air Resources Board Paul Allen, Project Manager SCOS97-NARSTO DATA ANALYSIS CONFERENCE February 14, 2001 STI-2053

2 Overview Introduction Acquisition of surrogate data New approach to developing surrogates Development of spatial allocation factors Display and discussion of gridded spatial allocation factors

3 Introduction Spatial allocation factors are used to geographically distribute county total emissions over a gridded domain. Spatial allocation factors are developed using spatial surrogate data: –Demographic and socioeconomic data population, housing, employment –Land cover and land use data lakes, railroads, roadways, agriculture –Facility location data dry cleaners, gas stations, airports, military bases

4 Acquisition of Surrogate Data (1 of 2) Demographic and socioeconomic data –Demographic and socioeconomic data from local transportation planning agencies and Caltrans for 1997, 2005, 2010, and 2020 Land cover and land use data –USGS, ESRI/MapInfo TIGER files (e.g., railroads, lakes) –Road networks from DTIM inputs

5 Acquisition of Surrogate Data (2 of 2) Facility location data –Area source facility locations from the Electronic Yellow Pages –Oil well locations from California Department of Oil and Gas. –Bulk plant locations from CEIDARS. New calculated surrogates –Based on demographic and socioeconomic data

6 List of Spatial Allocation Factors (1 of 4) Demographic and Socioeconomic Surrogates Total population Total employment Non-retail employment Other employment Retail employment Retail & other employment Basic employment Total housing Multiple-dwelling units and retail employment Group quarters/retail employment Proportional to construction, population, and employment densities Proportional to housing density and total employment Single-dwelling units

7 List of Spatial Allocation Factors (2 of 4) Land Cover and Land Use Surrogates Agricultural land cover Agricultural land cover - cropland Agricultural land cover - feedlot Coastline distributions National forest >5000 feet Rural land cover - forest Rural land cover - range land Rural land cover Roadway density VMT - collectors VMT - freeways VMT - local streets VMT - major streets VMT Railroad length Rail yards Lakes, reservoirs, and coastline

8 List of Spatial Allocation Factors (3 of 4) Facility Location Surrogates Commercial airports Non-commercial airports Military bases Oil wells Harbors Autobody & repair shops Restaurants & bakeries Dry cleaners Golf courses Schools, parks, and hospitals Service stations Wineries

9 List of Spatial Allocation Factors (4 of 4) Calculated Surrogates Total housing and total employment/area per person Proportional to % maintenance construction and housing densities Proportional to % maintenance construction and non-retail densities Proportional to % maintenance construction and retail densities Proportional to % maintenance construction and basic employment density Proportional to % maintenance construction and residential population density Proportional to % maintenance construction and other employment density

10 Development of Spatial Allocation Factors Use Geographical Information Software (GIS) to spatially disaggregate geographical data into 2-km grid cells using overlay functions. Calculate the spatial allocation factor (SAF): SAF = (grid cell value / county total)

11 Polygon Point Line Grid Overlay area/grid cell number/grid cell length/grid cell

12 Example Calculation: Population Pop. of TAZ = 5,000 Total County Pop. = 50,000 Pop. of Grid Cell (x) = 500 SAF = Population of Grid Cell / Population of County = 500 / 50,000 = % of the county total population resides in grid cell (x) X

13 Spatial Allocation Factor Population

14 Spatial Allocation Factor Population

15 New Approach - Calculated Surrogates Use demographic and socioeconomic data to develop calculated surrogates. Example: Residential construction emissions 1997 TAZ Existing Structures 2020 New Structures Surrogate = [(No. structures 1997)*(0.30)] + (No. structures No. structures 1997) Assuming 30% expenditure on repair and maintenance (U.S. Census Bureau, 1998) (Existing Structures)(New Structures)

16 Calculated Surrogates Residential Construction (1997)

17 Calculated Surrogates Residential Construction (2020)

18 Calculated Surrogates Residential Construction 1997 and 2020

19 Summary Approximately 50 different gridded spatial allocation factors were developed for 1997, 2005, 2010, and 2020 at a 2-km grid resolution. New and improved geographical data are rapidly becoming available with the widespread use of GIS technology.

20 Summary New methodologies were used to better characterize “real-world” spatial emissions patterns and densities. All surrogates can be viewed at: