Forecasting greenhouse gas emissions from urban regions: Microsimulation of land use and transport patterns in Austin, Texas

Journal of Transport Geography

Volumn 33, Issue , 2013, Pages 220-229

  Tirumalachetty, Sumala ^a,b   Kockelman, Kara M ^b   Nichols, Brice G ^b  

^a Sabre Holdings   (India)

^b The University of Texas at Austin   (United States)

Author keywords

Energy consumption; Greenhouse gas emissions; Land use modeling; Microsimulation; Travel demand modeling; Urban system forecasting

Indexed keywords

COMPUTER SIMULATION; EMISSION; ENERGY USE; FORECASTING METHOD; GREENHOUSE GAS; HOUSEHOLD ENERGY; LAND USE; NUMERICAL MODEL; TRANSPORTATION POLICY; TRAVEL DEMAND; URBAN GROWTH; URBAN TRANSPORT;

AUSTIN; TEXAS; UNITED STATES;

EID: 84888286049     PISSN: 09666923     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jtrangeo.2013.08.002     Document Type: Article

References (44)

1. Banister D. Cities, mobility, and climate change. Journal of Industrial Ecology 2007, 11:7-10.
2. Behavn K., Maoh H., Kanaroglou P. Smart growth strategies, transportation and urban sprawl: simulated futures for Hamilton, Ontario. The Canadian Geographer 2008, 3:291-308.
3. Caliper Corporation Caliper Corporation, TransCAD Transportation GIS Software 2002, Caliper Corporation, America.
4. Cervero R., Kockelman K. Travel demand and the 3Ds: density, diversity, and design. Transportation Research Part D 1996, 3:199-219.
5. Chapman L. Transport and climate change: a review. Journal of Transport Geography 2007, 15:354-367.
6. David P. Tuttle and Kara M. Kockelman, 2012. Electrified Vehicle Technology Trends, Infrastructure Implications, and Cost Comparisons. Journal of the Transportation Research Forum, 51(1), (Spring 2012), 35-51.
7. Energy Information Administration (EIA), 2005. Voluntary Reporting of Greenhouse Gases Program (Fuel and Energy Source Codes and Emission Coefficients). <> (accessed 20.06.08). http://www.eia.doe.gov/oiaf/1605/coefficients.html.
8. Energy Information Administration (EIA), 2011. Annual Energy Review 2011. U.S. Department of Energy, Energy Information Administration. DOE/EIA-0384. <>. http://www.eia.gov/totalenergy/data/annual/pdf/aer.pdf.
9. Environmental Protection Agency (EPA), 2007. Regulatory Impact Analysis: Renewable Fuel Standard Program, Chapter 6 Lifecycle Impacts on Fossil Energy and Greenhouse Gases. <>. http://www.epa.gov/otaq/renewablefuels/420r07004chap6.pdf.
10. Environmental Protection Agency (EPA), 2012a. Inventory of U.S. Greenhouse Gas Emissions and Sinks: 1990-2010. <> (accessed 19.09.12). http://www.epa.gov/climatechange/Downloads/ghgemissions/US-GHG-Inventory-2012-Main-Text.pdf.
11. Environmental Protection Agency (EPA), 2012. Emissions & Generation Resource Integrated Database (eGRID), eGRID 2012 Version 1.0. <>. http://www.epa.gov/cleanenergy/energy-resources/egrid/index.html.
12. Ewing R., Rong F. The impact of urban form on U.S. residential energy use. Housing Policy Debate 2008, 1(19).
13. Farber S., Maoh H., Kanaroglou P. The impacts of urban growth policies on transportation system usage and performance: a simulation approach. Canadian Journal of Transportation 2009, 3:1-25.
14. Ferguson M., Maoh H., Ryan J., Kanaroglou P., Rashidi T.H. Transferability and enhancement of a microsimulation model for estimating urban commercial vehicle movements. Journal of Transport Geography 2012, 24:358-369.
15. Hensher, D.A., 2007. Climate Change, Enhanced Greenhouse Gas Emissions and Passenger Transport: What can we do to make a difference? ITLS-WP-07-08. University of Sydney, Institute of Transport and Logistics Studies. Australia.
16. Intergovernmental Panel on Climate Change (IPCC). 2007. Climate Change 2007-The Physical Science Basis, Contribution of Working Group I to the Fourth Assessment Report of the IPCC. Cambridge University Press.
17. Kang H., Scott D., Kanaroglou P., Maoh H. An exploration of issues related to the study of generated traffic and other impacts arising from highway improvements. Environment and Planning B: Planning and Design 2009, 36:68-85.
18. Khan M. The environmental impact of suburbanization. Journal of Policy Analysis and Management 2000, 19:569-586.
19. Khan M., Kockelman K. Predicting the Market Potential of Plug-in Electric Vehicles Using Multiday GPS Data. Energy Policy 2012, 46(C):225-233.
20. Kockelman, K., Bomberg, M., Thompson, M., Whitehead, C., 2008. GHG Emissions Control Options: Opportunities for Conservation. Report Commissioned by the National Academy of Sciences for the Committee for the Study on the Relationships Among Development Patterns, VMT, and Energy Conservation.
21. Kockelman K., Thompson M., Whitehead C. Americans' travel choices and their relative contributions to climate change: what near-term behavioral shifts will buy us, and opportunities for meeting carbon targets. Journal of Urban Planning and Development 2011, 137(2):91-100.
22. Kumar S. Microsimulation of Household and Firm Behaviors: Coupled Models of Land Use and Travel Demand in Austin, Texas. Master's Thesis 2007, Department of Civil Engineering, The University of Texas at Austin.
23. Kumar S., Kockelman K. Tracking the size, location and interactions of businesses: micro-simulation of firm behavior in Austin. Transportation Research Record No. 2077 2008, 113-121.
24. Lemp J. Travel Demand Forecasting Models: Development, Application, and Comparison of Aggregate and Activity-Based Approaches for the Austin, Texas Region Master's Thesis 2007, Department of Civil Engineering, The University of Texas at Austin.
25. Maoh, H.F., Kanaroglou, P.S., Buliung, R.N., 2005. Modeling the Location of Firms within an Integrated Transport and Land-use Model for Hamilton, Ontario. CSpA Working Paper 006. Centre for Spatial Analysis. McMaster University.
26. McWethy L.M. Comparing Microscopic Activity-Based and Traditional Models of Travel Demand: An Austin Area Case Study. Master's Thesis 2006, Department of Civil Engineering, The University of Texas at Austin.
27. Miller, E.J., and P.A. Salvini, 1998. The Integrated Land Use, Transportation, Environment (ILUTE) Modeling System: A Framework. In: Proceedings of the 77th Annual Meeting of the Transportation Research Board, Washington DC, 12-15.
28. Miyamoto, K., Sugiki, N., Otani, N., Vichiensan, V., 2010. Agent-based estimation method of household micro-data for base year in land-use microsimulation. In: Proceedings of the Annual Meeting of the Transportation Research Board, Washington, DC. <>. http://www.yc.tcu.ac.jp/microsimul/pdf/TRB89A.pdf.
29. Moeckel, R., Schürmann, C., Wegener, M., 2002. Microsimulation of land use. In: Proceedings of the 42nd European Congress of the Regional Science Association, Dortmund, 27-31 August 2002. <>. (accessed 05.11.08). http://www.ersa.org/ersaconfs/ersa02/cd-rom/papers/261.pdf.
30. National Climatic Data Center (NCDC), 2006. Comparative Climatic Data for the United States through 2006 http://www1.ncdc.noaa.gov/pub/data/ccd-data/CCD-2006_fixed.pdf. Accessed February 18th 2008.
31. Newman P., Kentworthy J. Gasoline consumption and cities. Journal of the American Planning Association 1989, 55:24-37.
32. Niemeir D., Bai S., Handy S. The impact ofresidential growth patterns on vehicle travel and pollutant emissions. Journal of Transport and Land Use 2011, 4(3):65-80.
33. O'Kelly M., Niedzielski M. Efficient spatial interaction: attainable reductions in metropolitan average trip length. Journal of Transport Geography 2008, 16:313-323.
34. Paez A. Exploring contextual variations in land use and transport analysis using a probit model with geographical weights. Journal of Transport Geography 2006, 14:167-176.
35. Paul B., Kockelman K., Musti S. The light-duty vehicle fleet's evolution: anticipating PHEV adoption and greenhouse gas emissions across the U.S. fleet. Transportation Research Record No. 2252 2011, 107-117.
36. Salvini P.A., Miller E.J. ILUTE: an operational prototype of a comprehensive microsimulation model of urban systems. Networks and Spatial Economics 2005, 5:217-234.
37. Small K.A., Van Dender K. Fuel efficiency and motor vehicle travel: the declining rebound effect. The Energy Journal 2007, 28(1):25-52.
38. Solomon, S., D. Qin, M. Manning, Z. Chen, M. Marquis, K.B. Averyt, M. Tignor and H.L. Miller (2007) Climate Change 2007: The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, 996 pp.<>. http://www.ipcc.ch/publications_and_data/publications_ipcc_fourth_assessment_report_wg1_report_the_physical_science_basis.htm.
39. Timmermans, H., 2003. The saga of integrated land use-transport modeling: how many more dreams before we wake up? In: Presented at 10th International Conference on Travel Behavior Research, Lucerne, Switzerland. <>. http://trid.trb.org/view.aspx?id=1131004.
40. Tirumalachetty S. Microsimulation of Household and Firm Behaviors: Anticipation of Greenhouse Gas Emissions- in Austin, Texas. Master's Thesis 2009, Department of Civil Engineering, The University of Texas at Austin.
41. Tirumalachetty, S., Kockelman, K., Kumar, S., 2009. Micro-simulation models of urban regions: anticipating greenhouse gas emissions from housing and transport in Austin, Texas. In: Proceedings of the 88th Annual Meeting of the Transportation Research Board.
42. Waddell P.A., Borning A., Noth M., Freier N., Becke M., Ulfarsson G. Microsimulation of urban development and location choices: design and implementation of urbanism. Networks and Spatial Economics 2003, 3(1):43-67.
43. Waddell, P., Miller, E., Sevcikova, H., Nagel, K., Socha, D., 2005. OPUS: An Open Platform for Urban Simulation. <>. http://128.40.111.250/cupum/searchpapers/papers/paper428.pdf.
44. Zhou B., Kockelman K. Land use change through microsimulation of market dynamics: an agent-based model of land development and locator bidding in Austin, Texas. Transportation Research Record No. 2255 2011, 125-136.