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Suggested Citation:"Report Contents." National Academies of Sciences, Engineering, and Medicine. 2012. Methodology for Determining the Economic Development Impacts of Transit Projects. Washington, DC: The National Academies Press. doi: 10.17226/22765.
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Suggested Citation:"Report Contents." National Academies of Sciences, Engineering, and Medicine. 2012. Methodology for Determining the Economic Development Impacts of Transit Projects. Washington, DC: The National Academies Press. doi: 10.17226/22765.
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Suggested Citation:"Report Contents." National Academies of Sciences, Engineering, and Medicine. 2012. Methodology for Determining the Economic Development Impacts of Transit Projects. Washington, DC: The National Academies Press. doi: 10.17226/22765.
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Suggested Citation:"Report Contents." National Academies of Sciences, Engineering, and Medicine. 2012. Methodology for Determining the Economic Development Impacts of Transit Projects. Washington, DC: The National Academies Press. doi: 10.17226/22765.
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Suggested Citation:"Report Contents." National Academies of Sciences, Engineering, and Medicine. 2012. Methodology for Determining the Economic Development Impacts of Transit Projects. Washington, DC: The National Academies Press. doi: 10.17226/22765.
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Suggested Citation:"Report Contents." National Academies of Sciences, Engineering, and Medicine. 2012. Methodology for Determining the Economic Development Impacts of Transit Projects. Washington, DC: The National Academies Press. doi: 10.17226/22765.
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Suggested Citation:"Report Contents." National Academies of Sciences, Engineering, and Medicine. 2012. Methodology for Determining the Economic Development Impacts of Transit Projects. Washington, DC: The National Academies Press. doi: 10.17226/22765.
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Suggested Citation:"Report Contents." National Academies of Sciences, Engineering, and Medicine. 2012. Methodology for Determining the Economic Development Impacts of Transit Projects. Washington, DC: The National Academies Press. doi: 10.17226/22765.
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Suggested Citation:"Report Contents." National Academies of Sciences, Engineering, and Medicine. 2012. Methodology for Determining the Economic Development Impacts of Transit Projects. Washington, DC: The National Academies Press. doi: 10.17226/22765.
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ACKNOWLEDGMENT This work was sponsored by the Federal Transit Administration (FTA) in cooperation with the Transit Development Corporation. It was conducted through the Transit Cooperative Research Program (TCRP), which is administered by the Transportation Research Board (TRB) of the National Academies. COPYRIGHT INFORMATION Authors herein are responsible for the authenticity of their materials and for obtaining written permissions from publishers or persons who own the copyright to any previously published or copyrighted material used herein. Cooperative Research Programs (CRP) grants permission to reproduce material in this publication for classroom and not-for-profit purposes. Permission is given with the understanding that none of the material will be used to imply TRB, AASHTO, FAA, FHWA, FMCSA, FTA, Transit Development Corporation, or AOC endorsement of a particular product, method, or practice. It is expected that those reproducing the material in this document for educational and not-for-profit uses will give appropriate acknowledgment of the source of any reprinted or reproduced material. For other uses of the material, request permission from CRP. DISCLAIMER The opinions and conclusions expressed or implied in this report are those of the researchers who performed the research. They are not necessarily those of the Transportation Research Board, the National Research Council, or the program sponsors. The information contained in this document was taken directly from the submission of the author(s). This material has not been edited by TRB.

The National Academy of Sciences is a private, nonprofit, self-perpetuating society of distinguished scholars engaged in scientific and engineering research, dedicated to the furtherance of science and technology and to their use for the general welfare. On the authority of the charter granted to it by the Congress in 1863, the Academy has a mandate that requires it to advise the federal government on scientific and technical matters. Dr. Ralph J. Cicerone is president of the National Academy of Sciences. The National Academy of Engineering was established in 1964, under the charter of the National Academy of Sciences, as a parallel organization of outstanding engineers. It is autonomous in its administration and in the selection of its members, sharing with the National Academy of Sciences the responsibility for advising the federal government. The National Academy of Engineering also sponsors engineering programs aimed at meeting national needs, encourages education and research, and recognizes the superior achievements of engineers. Dr. Charles M. Vest is president of the National Academy of Engineering. The Institute of Medicine was established in 1970 by the National Academy of Sciences to secure the services of eminent members of appropriate professions in the examination of policy matters pertaining to the health of the public. The Institute acts under the responsibility given to the National Academy of Sciences by its congressional charter to be an adviser to the federal government and, on its own initiative, to identify issues of medical care, research, and education. Dr. Harvey V. Fineberg is president of the Institute of Medicine. The National Research Council was organized by the National Academy of Sciences in 1916 to associate the broad community of science and technology with the Academy’s purposes of furthering knowledge and advising the federal government. Functioning in accordance with general policies determined by the Academy, the Council has become the principal operating agency of both the National Academy of Sciences and the National Academy of Engineering in providing services to the government, the public, and the scientific and engineering communities. The Council is administered jointly by both Academies and the Institute of Medicine. Dr. Ralph J. Cicerone and Dr. Charles M. Vest are chair and vice chair, respectively, of the National Research Council. The Transportation Research Board is one of six major divisions of the National Research Council. The mission of the Transporta- tion Research Board is to provide leadership in transportation innovation and progress through research and information exchange, conducted within a setting that is objective, interdisciplinary, and multimodal. The Board’s varied activities annually engage about 7,000 engineers, scientists, and other transportation researchers and practitioners from the public and private sectors and academia, all of whom contribute their expertise in the public interest. The program is supported by state transportation departments, federal agencies including the component administrations of the U.S. Department of Transportation, and other organizations and individu- als interested in the development of transportation. www.TRB.org www.national-academies.org

Contents Executive Summary ........................................................................................................................ 1 Review of literature and practice ................................................................................................ 1 Empirical study ........................................................................................................................... 2 Nationwide analysis ................................................................................................................ 2 Firm-level analysis .................................................................................................................. 3 Case studies ............................................................................................................................. 4 Spreadsheet tool .......................................................................................................................... 5 Conclusions ................................................................................................................................. 5 1. Introduction ............................................................................................................................. 6 2. Synthesis: The state of the art and the state of the practice .................................................... 8 Existing Federal planning and evaluation processes .................................................................. 8 Academic literature review ......................................................................................................... 9 What is agglomeration? .......................................................................................................... 9 Interviews .................................................................................................................................. 13 Practice reports and guidance ................................................................................................... 14 3. Framework for analysis, and scope of work ......................................................................... 17 Assessment: Improvements to research and practice................................................................ 17 Understanding agglomeration mechanisms .......................................................................... 17 Treating transit separately ..................................................................................................... 18 Improving data and measures of dependent and independent variables ............................... 18 Accounting for endogeneity (the chicken-or-egg problem) .................................................. 19 Distinguishing effects at different scales and for different groups ....................................... 19 Considering development context......................................................................................... 19 Empirical study approach ......................................................................................................... 19 4. MSA-level transit-agglomeration-productivity analysis....................................................... 21 Theory ....................................................................................................................................... 21 Data ........................................................................................................................................... 23 Methods..................................................................................................................................... 27 Analysis overview ..................................................................................................................... 29 Transit-agglomeration model results ........................................................................................ 29 Total rail track mileage ......................................................................................................... 30 Rail track mileage by type .................................................................................................... 34 Seat capacity ......................................................................................................................... 35

Revenue miles ....................................................................................................................... 35 Agglomeration-productivity model results ............................................................................... 36 Per capita wage and productivity models ............................................................................. 36 Industrial sub-sectors ............................................................................................................ 37 Total wage and productivity models ..................................................................................... 38 Nonlinearity .............................................................................................................................. 38 Demographic control variables ................................................................................................. 38 Linking transit capacity with productivity ................................................................................ 39 Different effects for different metropolitan areas ..................................................................... 39 Summary of results ................................................................................................................... 40 5. Firm-level Spatial Analysis................................................................................................... 45 Results ....................................................................................................................................... 46 6. Case Studies .......................................................................................................................... 48 Summary of findings................................................................................................................. 51 Los Angeles .......................................................................................................................... 51 Salt Lake City ....................................................................................................................... 52 Dallas .................................................................................................................................... 52 Methods and data sources ......................................................................................................... 53 Los Angeles – Metro Orange Line............................................................................................ 56 Current state of the transit system ......................................................................................... 56 Economic development and related policies ......................................................................... 57 Current context – employment, transportation, and land use ............................................... 59 Salt Lake City – TRAX light rail .............................................................................................. 67 Current state of the transit system ......................................................................................... 68 Economic development and related policies ......................................................................... 68 Current context – employment, transportation, and land use ............................................... 69 Dallas – DART light rail ........................................................................................................... 82 Current state of the transit system ......................................................................................... 83 Economic development and related policies ......................................................................... 83 Current context – employment, transportation, and land use ............................................... 84 7. Conclusions ......................................................................................................................... 100 Application in practice: Spreadsheet tool ............................................................................... 100 Spreadsheet tool limitations ................................................................................................ 101 Use of spreadsheet tool outputs .......................................................................................... 102

Future research ........................................................................................................................ 102 Appendix A: References ............................................................................................................. 104 Sections 1-4 ............................................................................................................................. 104 Section 6 (Case Studies) ......................................................................................................... 111 Appendix B: MSA Model Results .............................................................................................. 113 Appendix C. Review of Academic Literature............................................................................. 147 Theoretical Issues.................................................................................................................... 147 Empirical Studies ................................................................................................................... 156 Discussion and Conclusions ................................................................................................... 163 Appendix D: Summary of Interviews ......................................................................................... 167 Interviews - Sections 1, 2, and 3 ............................................................................................. 167 Accounts of Current Practice .................................................................................................. 168 Interviews- Section 5 (Case Studies) ...................................................................................... 178 Appendix E: Review of Practice Reports and Guidance ............................................................ 179 United States: Federal Level ................................................................................................... 179 United States: State, Regional and Local Level...................................................................... 180 Economic Modeling Systems ................................................................................................. 181 Sample US Studies .................................................................................................................. 183 Overview of UK Appraisal Procedures .................................................................................. 186 Deficiencies in Existing Practice ............................................................................................ 193 Appendix F: Elasticity Estimates ................................................................................................ 194 Appendix G: Marginal Productivity Changes (for a 1% increase in transit investment) ........... 255 Appendix H: Marginal Changes in Total Wages and GDP ........................................................ 281 Appendix I: Glossary of Terms ................................................................................................... 337 APPENDIX J: Documentation and Results for Task 6B ............................................................ 340 Description .............................................................................................................................. 340 Results ..................................................................................................................................... 341 Non-Sector Specific Panel Models ......................................................................................... 343 Employees per Acre by Two-Digit NAICS Sector Results .................................................... 344 Cross-Sectional Results .......................................................................................................... 348 Appendix K: MSA Data Reallocation Assumptions .................................................................. 349 APTA Transit Mileage Error Checking and Adjustments ...................................................... 349 Bus data reallocation ............................................................................................................... 354 Appendix L: Authorship ............................................................................................................. 355

TABLES TABLE 1 Transit projects and hypothesized agglomeration mechanisms ................................. 11 TABLE 2 Possible variation in additional economic benefits .................................................... 12 TABLE 3 Summary of methods used by sample studies ............................................................ 15 TABLE 4 Summary of track mile regression results ................................................................... 33 TABLE 5 Track mile, population models .................................................................................... 33 TABLE 6 Summary of rail track associations by rail type .......................................................... 34 TABLE 7 Density elasticities w.r.t. transit capacity measures, calculated at the sample mean .. 42 TABLE 8 Productivity elasticities w.r.t. agglomeration, calculated at the sample mean ............ 42 TABLE 9 Productivity elasticities w.r.t. transit capacity measures, calculated at the sample mean ....................................................................................................................................................... 42 TABLE 10 Estimated changes per unit based on mean elasticity estimates w.r.t transit capacity measures ........................................................................................................................................ 43 TABLE 11 Impacts of rail stations on employees per acre by two-digit NAICS sector, 1990- 2009............................................................................................................................................... 47 TABLE 12 Initial list of metropolitan-level case study candidates ............................................ 48 TABLE 13 Mode shares by region (1) (Please see Appendix A for numbered references in all case studies). ................................................................................................................................. 51 TABLE D 1 Interview subjects .................................................................................................. 167 TABLE E 1 Objectives and sub-objectives in UK transport appraisal ...................................... 187 TABLE F 1 Elasticities of employment density and population w.r.t. transit, specific to each MSA ............................................................................................................................................ 194 TABLE F 2 Productivity elasticities (average payroll and GDP per capita) w.r.t principal city employment density, for two track mile measures ..................................................................... 196 TABLE F 3 Productivity elasticities (average payroll and GDP per capita) w.r.t population, for two track mile measures.............................................................................................................. 198 TABLE F 4 Elasticities of employment density and population w.r.t. transit, specific to each MSA ............................................................................................................................................ 200 TABLE F 5 Agglomeration elasticities (employment density and population) w.r.t. rail revenue miles ............................................................................................................................................ 202 TABLE F 6 Total revenue miles, MSA specific elasticities (employment density and population) ..................................................................................................................................................... 204 TABLE F 7 Agglomeration elasticies w.r.t. total revenue miles ............................................... 213 TABLE F 8 Seat capacity (rail and motor bus) elasticities, employment density and population ..................................................................................................................................................... 222 TABLE F 9 Productivity elasticities (based on employment density) rail and motor bus seat capacity per capita....................................................................................................................... 233 TABLE F 10 Productivity elasticities (based on population) rail and motor bus seat capacity per capita ........................................................................................................................................... 244 TABLE G 2 Average change per 1 mile change in track miles/track miles per capita ............. 257 TABLE G 3 Average change per 1% change in rail revenue miles ........................................... 258 TABLE G 4 Average change per 1% change in total revenue miles ......................................... 260 TABLE G 5 Average change per 1% change in rail seat capacity per capita ............................ 269

TABLE G 6 Average change per 1% change in motor bus seat capacity per capita ................. 271 TABLE H 1 Marginal change in total payroll for a 1% increase in track mileage .................... 281 TABLE H 2 Marginal change in total GDP for a 1% increase in track mileage ....................... 283 TABLE H 3 Marginal change in total payroll for a 1 mile increase in track mileage ............... 285 TABLE H 4 Marginal change in total GDP for a 1 mile increase in track mileage .................. 287 TABLE H 5 Marginal change in total payroll for a 1% increase in rail revenue miles ............. 289 TABLE H 6 Marginal change in total GDP for a 1% increase in rail revenue miles ................ 291 TABLE H 7 Marginal change in total GDP for a 1% increase in total revenue miles .............. 293 TABLE H 8 Marginal change in total GDP for a 1% increase in total revenue miles .............. 302 TABLE H 9 Marginal change in total payroll for a 1% increase in rail seat capacity per capita ..................................................................................................................................................... 311 TABLE H 10 Marginal change in total GDP for a 1% increase in rail seat capacity per capita 313 TABLE H 11 Marginal change in total payroll for a 1% increase in bus seat capacity per capita ..................................................................................................................................................... 315 TABLE H 12 Marginal change in total GDP for a 1% increase in bus seat capacity per capita 326

FIGURES FIGURE 1 Distribution of central city employment density (workers per square mile) ............. 25 FIGURE 2 Distribution of urbanized area employment density (workers per square mile) ....... 25 FIGURE 3 Number of metropolitan areas by share of area occupied by central cities ............... 26 FIGURE 4 Urbanized share of MSAs ......................................................................................... 26 FIGURE 5 2002 to 2008 LA Metro Orange Line corridor change in workers at place of work by Census block group. (Source: US Census Bureau Longitudinal Employment Data) ................... 60 FIGURE 6 2002 to 2008 LA Metro Orange Line corridor change in workers at place of home by Census block group. (Source: US Census Bureau Longitudinal Employment Data) .............. 61 FIGURE 7 Los Angeles County and corridor employment by sector. (Source: US Census Bureau Longitudinal Employment Data) ...................................................................................... 62 FIGURE 8 Change in Los Angeles County and corridor employment by sector, 2002 to 2008. (Source: US Census Bureau Longitudinal Employment Data)..................................................... 63 FIGURE 9 Los Angeles County and near corridor job growth by sector, 2002 to 2008 (Source: US Census Bureau Longitudinal Employment Data) ................................................................... 64 FIGURE 10 2005 LA Metro corridor land use, San Fernando Valley Area. (Source: SCAG Land Use GIS Data) ...................................................................................................................... 66 FIGURE 11 2002 to 2008 UTA TRAX corridor change in workers at place of work by Census block group. (Source: US Census Bureau Longitudinal Employment Data) ............................... 72 FIGURE 12 2002 to 2008 UTA TRAX corridor change in workers at place of home by Census block group. (Source: US Census Bureau Longitudinal Employment Data) ............................... 73 FIGURE 13 Salt Lake County and corridor employment by sector. (Source: US Census Bureau Longitudinal Employment Data) .................................................................................................. 74 FIGURE 14 Change in Salt Lake County and corridor employment by sector, 2002 to 2008. (Source: US Census Bureau Longitudinal Employment Data)..................................................... 75 FIGURE 15 Salt Lake County and near corridor job growth by sector, 2002 to 2008. (Source: US Census Bureau Longitudinal Employment Data) ................................................................... 76 FIGURE 16 2009 Salt Lake City TRAX corridor zoning. (Source: Salt Lake City Zoning GIS Data) .............................................................................................................................................. 77 FIGURE 17 2009 Salt Lake City maximum building height, non-residential zones. (Source: Salt Lake City Zoning GIS Data).................................................................................................. 78 FIGURE 18 2009 Salt Lake City maximum building height, residential zones. (Source: Salt Lake City Zoning GIS Data) ......................................................................................................... 79 FIGURE 19 2002 to 2008 DART light rail corridor change in workers at place of work by Census block group. (Source: US Census Bureau Longitudinal Employment Data). .................. 85 FIGURE 20 2002 to 2008 DART light rail corridor change in workers at place of home by Census block group. (Source: US Census Bureau Longitudinal Employment Data). .................. 86 FIGURE 21 Dallas area and corridor employment by sector. (Source: US Census Bureau Longitudinal Employment Data) .................................................................................................. 88 FIGURE 22 Change in Dallas area and corridor employment by sector, 2002 to 2008. (Source: US Census Bureau Longitudinal Employment Data) ................................................................... 89 FIGURE 23 Dallas area and near corridor job growth by sector, 2002 to 2008. (Source: US Census Bureau Longitudinal Employment Data) ......................................................................... 90 FIGURE 24 2011 DART corridor zoning, south of Mockingbird Station. (Source: City of Dallas Zoning GIS data) ............................................................................................................... 92

FIGURE 25 2010/2011 DART corridor zoning, north of Mockingbird Station. (Source: City of Dallas and City of Plano Zoning GIS data) .................................................................................. 93 FIGURE 26 2005 DART corridor land use, south of Mockingbird Station. (Source: NCTCOG GIS Land Use Data) ...................................................................................................................... 95 FIGURE 27 2005 DART corridor land use, north of Mockingbird Station. (Source: NCTCOG GIS Land Use Data) ...................................................................................................................... 96 FIGURE 28 2005 DART corridor land use, downtown Dallas. (Source: NCTCOG GIS Land Use Data) ...................................................................................................................................... 97 FIGURE 29 2005 Downtown Dallas parking land use zones. (Source: NCTCOG GIS Land Use Data) .............................................................................................................................................. 99

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TRB’s Transit Cooperative Research Program (TCRP) Web-Only Document 56: Methodology for Determining the Economic Development Impacts of Transit Projects explores development of a method for transit agencies to assess whether and under what circumstances transit investments have economic benefits that are in addition to land development stimulated by travel time savings.

As part of the project a spreadsheet tool was developed that may be used to help estimate the agglomeration-related economic benefits of rail investments in the form of new systems or additions to existing systems.

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