DOCSLIB.ORG

An Examination of Land Use Models, Emphasizing Urbansim, TELUM, and Suitability Analysis

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text

Load more

Technical Report Documentation Page 1. Report No. 2. Government 3. Recipient’s Catalog No. FHWA/TX-09/0-5667-1 Accession No. 4. Title and Subtitle 5. Report Date An Examination of Land Use Models, Emphasizing UrbanSim, October 31, 2008 TELUM, and Suitability Analysis 6. Performing Organization Code 7. Author(s) 8. Performing Organization Report No. Kara Kockelman, Jennifer Duthie, Siva Karthik Kakaraparthi, 0-5667-1 Bin (Brenda) Zhou, Ardeshir Anjomani, Sruti Marepally, and Krishna Priya Kunapareddychinna 9. Performing Organization Name and Address 10. Work Unit No. (TRAIS) Center for Transportation Research 11. Contract or Grant No. The University of Texas at Austin 0-5667 3208 Red River, Suite 200 Austin, TX 78705-2650 12. Sponsoring Agency Name and Address 13. Type of Report and Period Covered Texas Department of Transportation Technical Report Research and Technology Implementation Office September 2006-August 2008 P.O. Box 5080 Austin, TX 78763-5080 14. Sponsoring Agency Code 15. Supplementary Notes Project performed in cooperation with the Texas Department of Transportation and the Federal Highway Administration. 16. Abstract This work provides integrated transportation land use modeling guidance to practitioners in Texas regions of all sizes. The research team synthesized existing land use modeling experiences from MPOs across the country, examined the compatibility of TELUM’s and UrbanSim’s requirements with existing data sets, integrated both UrbanSim and a gravity-based land use modeling with an existing travel demand model (TDM), and examined the results of Waco and Austin land use model runs (with and without transportation and land use policies in place). A simpler, GIS-based land use suitability analysis was also performed, for Waco, to demonstrate the potential value of such approaches. Finally, the knowledge gained from this research project was disseminated to practicing planners through a Resource Manual/Guidebook and two workshops. 17. Key Words 18. Distribution Statement Land use modeling, Integrated transportation-land use No restrictions. This document is available to the modeling, Suitability analysis, Land use planning and public through the National Technical Information policy Service, Springfield, Virginia 22161; www.ntis.gov. 19. Security Classif. (of report) 20. Security Classif. (of this page) 21. No. of pages 22. Price Unclassified Unclassified 224 Form DOT F 1700.7 (8-72) Reproduction of completed page authorized An Examination of Land Use Models, Emphasizing UrbanSim, TELUM, and Suitability Analysis Kara Kockelman Jennifer Duthie Siva Karthik Kakaraparthi Bin (Brenda) Zhou Ardeshir Anjomani Sruti Marepally Krishna Priya Kunapareddychinna CTR Technical Report: 0-5667-1 Report Date: August 31, 2008 Project: 0-5667 Project Title: Analysis and Guidelines for Establishing Unified Urban Land-Use and Transportation System Planning Framework and Procedures Sponsoring Agency: Texas Department of Transportation Performing Agency: Center for Transportation Research at The University of Texas at Austin Project performed in cooperation with the Texas Department of Transportation and the Federal Highway Administration. Center for Transportation Research The University of Texas at Austin 3208 Red River Austin, TX 78705 www.utexas.edu/research/ctr Copyright (c) 2008 Center for Transportation Research The University of Texas at Austin All rights reserved Printed in the United States of America Disclaimers Author's Disclaimer: The contents of this report reflect the views of the authors, who are responsible for the facts and the accuracy of the data presented herein. The contents do not necessarily reflect the official view or policies of the Federal Highway Administration or the Texas Department of Transportation (TxDOT). This report does not constitute a standard, specification, or regulation. Patent Disclaimer: There was no invention or discovery conceived or first actually reduced to practice in the course of or under this contract, including any art, method, process, machine manufacture, design or composition of matter, or any new useful improvement thereof, or any variety of plant, which is or may be patentable under the patent laws of the United States of America or any foreign country. Notice: The United States Government and the State of Texas do not endorse products or manufacturers. If trade or manufacturers' names appear herein, it is solely because they are considered essential to the object of this report. Engineering Disclaimer NOT INTENDED FOR CONSTRUCTION, BIDDING, OR PERMIT PURPOSES. Project Engineer: Kara M. Kockelman Professional Engineer License State and Number: Texas # 93443 P. E. Designation: Research Supervisor Acknowledgments The authors express appreciation to our Project Director, TxDOT’s Janie Temple, Project Coordinator Jack Foster, and Project Advisor Eduardo Calvo. Thanks also go to those at TxDOT’s Research and Technology Implementation office: Duncan Stewart (RMC 2 Research Engineer), and Sylvia Medina and Loretta Brown (RMC 2 Contract Managers for this project). The research team appreciates the contributions of Caliper Corporation’s Dr. Howard Slavin, Margaret Holmes, and Jian Zhang, for the use of TransCAD software and technical support. Finally, we appreciate Houston-Galveston Area Council’s Dmitri Messen’s and the University of Washington’s Hana Ševčíková’s assistance in running UrbanSim, via helpful email correspondence. Products Products associated with this project include the provision of land use modeling workshops for TxDOT engineers and MPO planners and a Guidebook/ Resource handbook for guidance in the land use forecasting process. The Part I case-study workshop was held May 27, 2008 in Houston (in conjunction with TxDOT’s Transportation Planning Conference) with TxDOT staff, consultants, and MPOs from various regions as participants (47 persons total). The workshop described the value of land use models (LUMs) in transportation planning and the different methodologies that can be used to implement such LUMs. Project PMC members Janie Temple and Duncan Stewart were in attendance. The Part II hands-on workshop was held on Tuesday, July 29, 2008 in Austin, at TxDOT's Riverside Drive Annex. This workshop concentrated on the demonstration and practical application of three land use models. Attendees worked with data in a TransCAD tutorial, in order to forecast land use change using gravity-based land use modeling commands. Demonstrations of Suitability Analysis using ArcGIS tools (with Waco data) and UrbanSim model operations and results (with Austin data) were also provided. The workshop was attended by 20 participants, including TxDOT district personnel, MPO staff members, and transportation consultants. Duncan Stewart and Janie Temple were in attendance. The Guidebook is not contained in this report, and was delivered separately to RTI on August 31, 2008. Table of Contents Chapter 1. Introduction................................................................................................................ 1 Chapter 2. Synthesis of Existing Land Use Modeling Experiences .......................................... 3 2.1 Advantages and Disadvantages of Each Approach for Anticipating Land Use Future .....................................................................................................................................3 2.2 Summary of Survey Responses .............................................................................................4 Chapter 3. Investigation of Land Use Model Requirements and Compatibility with Existing TxDOT Data and Methods ................................................................................ 7 3.1 Existing Agency Data and Methods ......................................................................................9 3.1.1 UrbanSim ..................................................................................................................... 11 3.1.2 PECAS ......................................................................................................................... 13 3.1.3 TELUM ........................................................................................................................ 14 3.1.4 TRANUS ...................................................................................................................... 15 3.1.5 Linking to a Model of Travel Demand ........................................................................ 17 Chapter 4. Review of Suitability Models and their Potential Contribution .......................... 19 4.1 The Role of Land Suitability Analysis in Land Use/Transportation Modeling ...................19 4.1.1 Suitability Analysis ...................................................................................................... 20 4.1.2 Review of Available Software and Applied Processes ................................................ 21 4.2 Results of Waco, Texas Comparisons using SA Methods ...................................................28 4.2.1 Suitability Analysis ...................................................................................................... 29 4.2.2 Use of ArcGIS .............................................................................................................. 29 4.2.3 Part (a): Suitability Analysis as a Complement to Integrated Modeling ..................... 30 4.2.4 Part (b): SA as for Allocation of Projected Population and Employment ................... 32 4.2.5 Data Collection ...........................................................................................................
Recommended publications
  • Architecture for Modular Microsimulation of Real Estate Markets and Transportation∗

    Architecture for Modular Microsimulation of Real Estate Markets and Transportation∗

    Architecture for Modular Microsimulation of Real Estate Markets and Transportation∗ Paul Waddell1, Ignacio Garcia-Dorado2, Samuel M. Maurer1, Geoff Boeing1, Max Gardner3, Emily Porter3, and Daniel Aliaga4 1Department of City and Regional Planning, University of California, Berkeley 2Google Research 3Department of Civil and Environmental Engineering, University of California, Berkeley 4Department of Computer Science, Purdue University June 2018 Abstract Integrating land use, travel demand, and traffic models represents a gold standard for regional planning, but is rarely achieved in a meaning- ful way, especially at the scale of disaggregate data. In this paper, we present a new architecture for modular microsimulation of urban land use, travel demand, and traffic assignment. UrbanSim is an open-source microsimulation platform used by metropolitan planning organizations worldwide for modeling the growth and development of cities over long (∼30 year) time horizons. ActivitySim is an agent-based modeling platform that produces synthetic origin–destination travel demand data, developed from the UrbanSim model and software framework. For traffic assignment, we have integrated two approaches. The first is a static user equilibrium approach that is used as a benchmark. The second is a traffic microsim- arXiv:1807.01148v1 [cs.CY] 30 Jun 2018 ulation approach that we have highly parallelized to run on a GPU in order to enable full-model microsimulation of agents through the entire modeling workflow. This paper introduces this research agenda, describes this project’s achievements so far in developing this modular platform, and outlines further research. ∗Paper presented at the Symposium on Applied Urban Modelling. Cambridge, England. June 27–29, 2018. 1 1 Introduction 1.1 Need for modular urban microsimulation Integrated urban models have a long history and uneven results.
  • Sketch Tools for Regional Sustainability Scenario Planning

    Sketch Tools for Regional Sustainability Scenario Planning

    Acknowledgments This study was conducted for the AASHTO Standing Committee on Planning, with funding provided through the National Cooperative Highway Research Program (NCHRP) Project 08-36, Research for the AASHTO Standing Committee on Planning. The NCHRP is supported by annual voluntary contributions from the state Departments of Transportation. Project 08-36 is intended to fund quick response studies on behalf of the Standing Committee on Planning. The report was prepared by Uri Avin of the National Center for Smart Growth (NCSG), University of Maryland, with Christopher Porter and David von Stroh of Cambridge Systematics, Eli Knaap of the NCSG, and Paul Patnode, NCSG Affiliate. The work was guided by a technical working group that included: Robert Balmes, Michigan Department of Transportation, Chair; William Cesanek, CDM Smith; Robert Deaton, North Carolina Department of Transportation; Thomas Evans; Kristen Keener-Busby, Urban Lands Institute, Arizona; Amanda Pietz, Oregon Department of Transportation; Elizabeth Robbins, Washington State Department of Transportation; Nicolas Garcia, Liaison, Federal Transit Administration; and Fred Bowen, Liaison, Federal Highway Administration. The project was managed by Lori L. Sundstrom, NCHRP Senior Program Officer. Disclaimer The opinions and conclusions expressed or implied are those of the research agency that performed the research and are not necessarily those of the Transportation Research Board or its sponsoring agencies. This report has not been reviewed or accepted by the Transportation
  • An Extensible, Modular Architecture for Simulating Urban Development, Transportation, and Environmental Impacts

    An Extensible, Modular Architecture for Simulating Urban Development, Transportation, and Environmental Impacts

    An Extensible, Modular Architecture for Simulating Urban Development, Transportation, and Environmental Impacts Michael Noth¤ Alan Borning Dept. of Computer Science & Engineering, University of Washington, Box 352350, Seattle, Washington 98195, fnoth,[email protected] Paul Waddell Evans School of Public Affairs, University of Washington, Box 353055, Seattle, Washington 98195, [email protected] ¤ Corresponding author Preprint submitted to Elsevier Science 5 September 2001 Abstract UrbanSim simulates the development of urban areas, including land use, trans- portation, and environmental impacts, over periods of twenty or more years. Its purpose is to aid urban planners, residents, and elected officials in evaluating the long-term results of alternate plans, particularly as they relate to such issues as housing, business and economic development, sprawl, open space, traffic conges- tion, and resource consumption. From a software perspective, it is a large, complex, system, with heavy demands for excellent space efficiency and support for software evolution. It consists of a collection of models that represent different urban actors and processes, an object store that holds the state of the simulated urban environ- ment, a model coordinator that schedules models to run and notifies them when data of interest has changed, and a translation and aggregation layer that performs a range of data conversions to mediate between the object store and the models. The paper concludes with a discussion of the lessons learned regarding software architecture to support rapid evolution within the field of urban simulation. 2 1 Introduction Patterns of land use and available transportation systems play a critical role in determining the economic vitality, livability, and sustainability of urban areas.
  • A Primer for Agent-Based Simulation and Modeling in Transportation Applications

    A Primer for Agent-Based Simulation and Modeling in Transportation Applications

    The Exploratory Advanced Research Program A Primer for Agent-Based Simulation and Modeling in Transportation Applications a Foreword Agent-based modeling and simulation (ABMS) methods have been applied in a spectrum of research domains. This primer focuses on ABMS in the transportation interdisciplinary domain, describes the basic concepts of ABMS and the recent progress of ABMS in transportation areas, and elaborates on the scope and key characteristics of past agent-based transportation models, based on research results that have been reported in the literature. Specifically, the objectives of this primer are to explain the basic concept of ABMS and various ABMS methodologies scoped in the literature, review ABMS applications emerging in transportation studies in the last few decades, describe the general ABMS modeling frameworks and commonly shared procedures exhibited in a variety of transportation applications, outline the strength and limitation of ABMS in various transportation applications, and demonstrate that ABMS exhibits certain comparable modeling outcomes compared to classical approaches through a traveler’s route choice decisionmaking process example. The target audiences of this primer are researchers and practitioners in the interdisciplinary fields of transportation, who are specialized or interested in social science models, behavioral models, activity- based travel demand models, lane use models, route choice models, human factors, and artificial intelligence with applications in transportation. Monique R. Evans Debra S. Elston Director, Office of Safety Director, Office of Corporate Research, Research and Development Technology, and Innovation Management Notice This document is disseminated under the sponsorship of the U.S. Department of Transportation in the interest of information exchange. The U.S.
  • Coupling Matsim and Urbansim: Software Design Issues

    Coupling Matsim and Urbansim: Software Design Issues

    Working Paper Coupling MATSim and UrbanSim: Software design issues Thomas W. Nicolai, Kai Nagel TU Berlin, Germany Revision: 1 FP7-244557 20/12/2010 Contents 1 Introduction.........................................................................................................................3 2 Introducing new methods and concepts to integrate UrbanSim with MATSim...................5 File-based coupling via data binding........................................................................................ 6 2.1 6 Object-based coupling ............................................................................................................. 8 2.2 8 Java Native Interface (JNI) ............................................................................................ 9 2.2.1 9 2.2.2 JPype ................................................................................................................... 10 2.2.3 Other object-based integration methods.............................................................. 13 3 Discussion ........................................................................................................................15 4 Conclusion........................................................................................................................17 5 References .......................................................................................................................18 i Coupling MATSim and UrbanSim __________________________________________________________ 20/12/2010 Coupling MATSim and
  • Simulating the Connected Metropolis Fletcher Foti University of California, Berkeley (USA)

    Simulating the Connected Metropolis Fletcher Foti University of California, Berkeley (USA)

    Free and Open Source Software for Geospatial (FOSS4G) Conference Proceedings Volume 14 Portland, Oregon, USA Article 6 2014 UrbanSim2: Simulating the Connected Metropolis Fletcher Foti University of California, Berkeley (USA) Paul Waddell Follow this and additional works at: https://scholarworks.umass.edu/foss4g Part of the Geography Commons Recommended Citation Foti, Fletcher and Waddell, Paul (2014) "UrbanSim2: Simulating the Connected Metropolis," Free and Open Source Software for Geospatial (FOSS4G) Conference Proceedings: Vol. 14 , Article 6. DOI: https://doi.org/10.7275/R5JQ0Z61 Available at: https://scholarworks.umass.edu/foss4g/vol14/iss1/6 This Paper is brought to you for free and open access by ScholarWorks@UMass Amherst. It has been accepted for inclusion in Free and Open Source Software for Geospatial (FOSS4G) Conference Proceedings by an authorized editor of ScholarWorks@UMass Amherst. For more information, please contact [email protected]. UrbanSim2: Simulating the Connected Metropolis UrbanSim2: Simulating the Connected Metropolis by Fletcher Foti and Paul Waddell in a metropolitan region in order to predict demand for public infrastructure such as transportation, en- University of California, Berkeley (USA). fscot- ergy and water. It has been most widely used for re- [email protected] gional transportation planning, to assess the impacts of transit and roadway projects on patterns of urban Abstract development, and the indirect effects these have on UrbanSim is an open source software platform for travel demand. In recent years, urban models are in- agent-based geospatial simulation, focusing on the creasingly used to understand how to reach sustain- spatial dynamics of urban development. Since its ability goals, including reducing resource use and creation UrbanSim has been used in the official plan- land consumption, and how best to substitute sus- ning processes for at least a dozen regional govern- tainable modes like transit, walking, and biking for ments which were used to help allocate billions of increasing automobile use.
  • An Integrated Pipeline Architecture for Modeling Urban Land Use, Travel Demand, and Traffic Assignment∗

    An Integrated Pipeline Architecture for Modeling Urban Land Use, Travel Demand, and Traffic Assignment∗

    An Integrated Pipeline Architecture for Modeling Urban Land Use, Travel Demand, and Traffic Assignment∗ Paul Waddell1, Geoff Boeing1, Max Gardner2, and Emily Porter2 1Department of City and Regional Planning, University of California, Berkeley 2Department of Civil and Environmental Engineering, University of California, Berkeley January 2018 arXiv:1802.09335v1 [cs.CY] 8 Feb 2018 ∗Technical report for U.S. Department of Energy SMART Mobility Urban Science Pillar: Coupling Land Use Models and Network Flow Models Abstract Integrating land use, travel demand, and traffic models represents a gold stan- dard for regional planning, but is rarely achieved in a meaningful way, especially at the scale of disaggregate data. In this report, we present a new pipeline ar- chitecture for integrated modeling of urban land use, travel demand, and traffic assignment. Our land use model, UrbanSim, is an open-source microsimulation platform used by metropolitan planning organizations worldwide for modeling the growth and development of cities over long (∼30 year) time horizons. Ur- banSim is particularly powerful as a scenario analysis tool, enabling planners to compare and contrast the impacts of different policy decisions on long term land use forecasts in a statistically rigorous way. Our travel demand model, Ac- tivitySim, is an agent-based modeling platform that produces synthetic origin{ destination travel demand data. Finally, we use a static user equilibrium traffic assignment model based on the Frank-Wolfe algorithm to assign vehicles to specific network paths to make trips between origins and destinations. This traffic assignment model runs in a high-performance computing environment. The resulting congested travel time data can then be fed back into UrbanSim and ActivitySim for the next model run.
  • Urbansim Application

    Urbansim Application

    Draft Technical Documentation: San Francisco Bay Area UrbanSim Application prepared for: Metropolitan Transportation Commission (MTC) in collaboration with Association of Bay Area Governments (ABAG) March 28, 2013 Paul Waddell, Principal Investigator Urban Analytics Lab Institute of Urban And Regional Development University of California, Berkeley Acknowledgments The development of OPUS and UrbanSim has been supported by grants from the National Science Foundation Grants CMS-9818378, EIA-0090832, EIA-0121326, IIS-0534094, IIS-0705898, IIS-0964412, and IIS-0964302 and by grants from the U.S. Federal Highway Administration, U.S. Environmental Protection Agency, European Research Council, Maricopa Association of Governments, Puget Sound Regional Council, Oahu Metropolitan Planning Organization, Lane Council of Governments, Southeast Michigan Council of Governments, Metropolitan Transportation Commis- sion and the contributions of many users. This application of UrbanSim to the San Francisco Bay Area has been funded by the Metropolitan Transportation Commission (MTC). The UrbanSim Development and Application Team UrbanSim is an urban simulation system designed by Paul Waddell, and developed over a number of years with the effort of many individuals working towards common aims. See the UrbanSim People page for current and previous contributors, at www.urbansim.org/people. The following persons participated in the development of the UrbanSim Application to the San Francisco Bay Area: Paul Waddell, City and Regional Planning, University of California
  • Projecting Land-Use Change a Summary of Models for Assessing the Effects of Community Growth and Change on Land-Use Patterns

    Projecting Land-Use Change a Summary of Models for Assessing the Effects of Community Growth and Change on Land-Use Patterns

    United States Office of Research and EPA/600/R-00/098 Environmental Protection Development September 2000 Agency Washington DC 20460 www.epa.gov Projecting Land-Use Change A Summary of Models for Assessing the Effects of Community Growth and Change on Land-Use Patterns EPA/600/R-00/098 September 2000 www.epa.gov Projecting Land-Use Change: A Summary of Models for Assessing the Effects of Community Growth and Change on Land-Use Patterns Science Applications International Corporation 11251 Roger Bacon Drive Reston, VA 20190-5201 Contract #68-C7-0011 Project Officer Susan Schock U.S. Environmental Protection Agency Cincinnati, OH 45268 National Exposure Research Laboratory National Health and Environmental Effects Research Laboratory National Risk Management Research Laboratory Office of Research and Development U.S. Environmental Protection Agency Washington, DC 20460 Notice The summaries of land-use change models contained within this report do not reflect the actual use of these products. Information presented on the function and capabilities of each model was collected largely through independent research of published materials such as users’ manuals and Internet sites. The model developers have reviewed and verified the information compiled for their specific products, ensuring the accuracy of the material presented in this report. Significant efforts were made to explore and incorporate all land-use models currently available for public use during the project period. However, the population of such models is continually changing and it is recognized that any compilation will ultimately exclude one or more relevant models. Preparation of this document has been funded wholly or in part by the U.S.
  • Planning Support Systems for Sustainable Urban Regeneration

    Planning Support Systems for Sustainable Urban Regeneration

    PLANNING SUPPORT SYSTEMS FOR SUSTAINABLE URBAN REGENERATION A thesis submitted to The University of Manchester for the degree of Doctor of Philosophy in the Faculty of Humanities 2011 By Kai Zhou School of Environment and Development University of Manchester 2 LIST OF CONTENT LIST OF FIGURES........................................................................................................ 8 LIST OF TABLES .......................................................................................................... 9 LIST OF ABBREVIATIONS ..................................................................................... 10 ABSTRACT.................................................................................................................. 11 DECLARATION ......................................................................................................... 12 COPYRIGHT STATEMENT .................................................................................... 12 ACKNOWLEDGMENTS .......................................................................................... 13 1. INTRODUCTION................................................................................................ 17 1.1. Technological Planning Supports in the Information Age................................................ 17 1.2. Planning Support Systems ................................................................................................ 18 1.3. ‘Mismatch’ and ‘Bottlenecks’ of Technical Support in Planning ....................................