Application of UrbanSim to the Austin, Texas, Region: Integrated-Model Forecasts for the Year 2030

Journal of Urban Planning and Development

Volumn 137, Issue 3, 2011, Pages 238-247

  Kakaraparthi, Siva Karthik ^a,b   Kockelman, Kara M ^c  

^a Hongkong and Shanghai Banking Corporation   (United States)

^b Alliance Transportation Group Inc   (United States)

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

Author keywords

Austin; Land use patterns; Model forecasts; Texas; UrbanSim

Indexed keywords

AUSTIN; BUSINESS-AS-USUAL; ENERGY IMPACT; ITS DATA; LAND-USE PATTERNS; LOCATION CHOICE; MICROSCOPIC SIMULATION; OPEN-SOURCE MODEL; PLANNING STAFF; SPATIAL RESOLUTION; TEXAS; TRAVEL DEMAND MODELS; URBANSIM;

CARBON DIOXIDE; ENERGY UTILIZATION; LAND USE; LOCATION; MOTOR TRANSPORTATION;

COMPUTER SIMULATION;

CARBON EMISSION; COMPUTER SIMULATION; FORECASTING METHOD; LAND USE PLANNING; LOCATION DECISION; NUMERICAL MODEL; SPATIAL RESOLUTION; TRAVEL DEMAND; URBAN GROWTH;

AUSTIN; TEXAS; UNITED STATES;

EID: 80052770500     PISSN: 07339488     EISSN: None     Source Type: Journal    
DOI: 10.1061/(ASCE)UP.1943-5444.0000065     Document Type: Article

References (40)

1. Abraham J.E. Hunt J.D. Design and application of the PECAS land use modeling system. 2003and Research Rep. UCD-ITS-RR-03-32Institute of Transportation StudiesUniv. of CaliforniaDavisCA. (Jun. 2009).
2. Arentze T.A. Timmermans H.J. P. ALBATROSS: learning-based transportation oriented simulation system 2000and European Institute of Retailing and Services Studies (EIRSS)EindhovenNetherlands.
3. Bayles B. Crawley R. Mass D. The Texas landscape: snapshot from the 2000 census. 2002and (Jul. 282009).
4. Ben-Akiva M. Lerman S. Discrete choice analysis: Theory and application to travel demand 1985and MITCambridge MA.
5. Brown M.A. Southworth F. Stovall T.K. Towards climate-friendly built environment. 2005and Pew Center on Global Climate Change. (Apr. 52009).
6. Opus: The open platform for UrbanSim Version 4.0 reference manual and users guide 2006Center for Urban Simulation and Policy Analysis (CUSPA) (Apr. 52009).
7. De la Barra T. Integrated land use and transport modeling 1989Cambridge UniversityNew York.
8. De la Barra T. Perez B. Vera N. TRANUS-J: Putting large models into small computers. Environ. Plann. 198411(1):87-101. EPSBD90265-813510.1068/b110087and .
9. DiPasquale D. Wheaton W. Urban economics and real estate markets 1996and Prentice HallEnglewood CliffsNJ.
10. Dowling R. Predicting short-term and long-term air quality effects of traffic-flow improvement projects. 2000Rep. 535National Cooperative Highway Research ProgramWashingtonDC.
11. Echenique M.H. Crowther D. Lindsay W. spatial model of urban stock and activity. Regional Stud. 19693(3):281-312. REGSAT0034-340410.1080/09595236900185291and .
12. Echenique M.H. Flowerdew A.D. J. Hunt J.D. Mayo T.R. Skidmore I.J. Simmonds D.C. The MEPLAN models of BilbaoLeeds and Dortmund. Transp. Rev. 199010(4):309-322. 0144-164710.1080/01441649008716764and .
13. 2001 RECS public use microdata files. 2001Energy Information Administration (EIA) (Apr. 2009).
14. 2003 CBECS public use microdata files. 2003Energy Information Administration (EIA) (Apr. 2009).
15. Emissions of greenhouse gases in the United States for 2006. 2006Energy Information Administration (EIA)Rep. DOE/EIA-0573(Apr. 52009).
16. Emissions of GHGs 1980-2006. 2007Energy Information Administration (EIA)(Apr. 52009).
17. Johnston R.A. UPlan: versatile urban growth model for transportation planning. 2003202-209. Transportation Research Record 1831Transportation Research BoardWashingtonDC.
18. Kakaraparthi S.K. Integrated land usetransportation and energy forecasts for AustinTexas Region: An application of UrbanSim. 2009M.S. thesisDept. of CivilArchitecturaland Environmental EngineeringUniv. of TexasAustinTX.
19. Klosterman R.E. The What if? collaborative support system. Environ. Plann. 199926(3):393-408. EPSBD90265-813510.1068/b260393
20. Klosterman R.E. What if? 2.0 user's guide. 2007(Jul. 272009).
21. Kockelman K.M. Jin L. Zhao Y. Ruiz-Juri N. Tracking land usetransportand industrial production using random-utility-based multiregional input-output models: Applications for Texas trade. J. Transp. Geogr. 200513(3):275-286. 0966-692310.1016/j.jtrangeo.2004.04.009and .
22. Landis J. Zhang M. The second generation of the California urban futures model. Part 1: Model logic and theory. Environ. Plann. B 199825(5):657-666. EPSBD90265-813510.1068/b250657and (a)
23. Landis J. Zhang M. The second generation of the California urban futures model. Part 2: Specification and calibration results of the land use change module. Environ. Plann. B 199825(6):795-824. EPSBD90265-813510.1068/b250795and (b)
24. Lemp J.D. McWethy L. Kockelman K. From aggregate methods to microsimulation: Assessing the benefits of microscopic activity-based models of travel demand. 200780-88. and Transportation Research Record 1994Transportation Research BoardWashingtonDC.
25. Martínez F.J. MUSSA: land use model for Santiago City. 1996126-134. Transportation Research Record 1552Transportation Research BoardWashingtonDC.
26. McWethy L.B. Comparing microscopic activity-based and traditional models of travel demand: An Austin area case study. 2006M.S. thesisDept. of CivilArchitecturaland Environmental EngineeringUniv. of TexasAustinTX.
27. Miller E.J. Integrated land usetransportationenvironment (ILUTE) modeling system. 2001(Jun. 282008).
28. 2009Opus 4.3.1 [Computer software]. (Jun. 2009).
29. Putman S.H. Integrated urban models: Policy analysis of transportation and land use 1983PionLondon.
30. Putman S.H. Integrated urban models 2: New research and applications of optimization and dynamics 1992PionLondon.
31. Putman S.H. EMPAL and DRAM location and land use models: technical overview. Land Use Modeling Conf. 1995Urban Simulation LaboratoryDept. of City and Regional PlanningUniv. of PennsylvaniaPhiladelphia.
32. Simmonds D.C. The design of the DELTA land-use modeling package. Environ. Plann. 199926(5):665-684. EPSBD90265-813510.1068/b260665
33. Simmonds D.C. Skinner A. The South and West Yorkshire strategic land-use/transportation model. Applied GIS and spatial analysis 2006195-214. G. ClarkeJ. Stillwelland Chapter 11and eds.WileyChichesterUK.
34. Tirumalachetty S. Kockelman K.M. Kumar S. Micro-simulation models of urban regions: Anticipating greenhouse gas emissions from housing and transport in AustinTexas. Proc.88th Annual Meeting of the Transportation Research Board 2009and WashingtonDC.
35. 2008TransCAD [Computer software]. Caliper CorporationNewtonMA.
36. Waddell P. Analytical tools for land usetransportation and growth management. 2001(Jun. 272008).
37. Waddell P. Modeling urban development for land usetransportation and environmental planning. J. Am. Plann. Assoc. 200268(3):297-314. JAPAD90194-436310.1080/01944360208976274
38. Waddell P. Borning A. Noth M. Freier N. Becke M. Ulfarsson F. Microsimulation of urban development and location choices: Design and implementation of UrbanSim. Network. Spatial Econ. 20033(1):43-67. 1566-113X10.1023/A:1022049000877and .
39. Waddell P. Ulfarsson G.F. Introduction to urban simulation: Design and development of operational models. Handbook in transportvolume 5: Transport geography and spatial systems 2004203-236. and PergamonNew York.
40. Zhou B. Kockelman K.M. Lemp J. Applications of integrated transport and gravity-based land use models for policy analysis. 2009123-132. and Transportation Research Record 2133Transportation Research BoardWashingtonDC.