Census Data Field Guide for Transportation Applications (2025)

Chapter: References and Bibliography

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Suggested Citation: "References and Bibliography." National Academies of Sciences, Engineering, and Medicine. 2025. Census Data Field Guide for Transportation Applications. Washington, DC: The National Academies Press. doi: 10.17226/29028.

References and Bibliography

Alexander, L., Jiang, S., Murga, M., & González, M. C. (2015). Origin–destination Trips by Purpose and Time of Day Inferred from Mobile Phone Data. Transportation Research Part C: Emerging Technologies, 58, 240–250.

Alexander, L. P., & González, M. C. (2015). Assessing the Impact of Real-Time Ridesharing on Urban Traffic Using Mobile Phone Data. Proc. UrbComp, 1–9.

American Time Use Survey Userʼs Guide: Understanding ATUS 2003 to 2023. (2024). Bureau of Labor Statistics. https://www.bls.gov/tus/atususersguide.pdf

Anas, A., & Hiramatsu, T. (2012). The Effect of the Price of Gasoline on the Urban Economy: From Route Choice to General Equilibrium. Transportation Research Part A: Policy and Practice, 46(6), 855–873.

Antipova, A., Wang, F., & Wilmot, C. (2011). Urban Land Uses, Socio-Demographic Attributes and Commuting: A Multilevel Modeling Approach. Applied Geography, 31(3), 1010–1018.

Appold, S. J. (2015). Airport Cities and Metropolitan Labor Markets: An Extension and Response to Cidell. Journal of Economic Geography, 15(6), 1145–1168.

Baum-Snow, N. (2010). Changes in Transportation Infrastructure and Commuting Patterns in U.S. Metropolitan Areas, 1960–2000. American Economic Review, 100(2), 378–82.

Becker, R. A., Caceres, R., Hanson, K., Loh, J. M., Urbanek, S., Varshavsky, A., & Volinsky, C. (2011). A Tale of One City: Using Cellular Network Data for Urban Planning. IEEE Pervasive Computing, 10(4), 18–26.

Bhat, C. R., Goulias, K. G., Pendyala, R. M., Paleti, R., Sidharthan, R., Schmitt, L., & Hu, H. H. (2013). A Household-Level Activity Pattern Generation Model with an Application for Southern California. Transportation, 40(5), 1063–1086.

Bhowmik, T., Yasmin, S., & Eluru, N. (2018). A Joint Econometric Approach for Modeling Crash Counts by Collision Type. Analytic Methods in Accident Research, 19, 16–32.

Bhowmik, T., Yasmin, S., & Eluru, N. (2019). Do We Need Multivariate Modeling Approaches to Model Crash Frequency by Crash Types? A Panel Mixed Approach to Modeling Crash Frequency by Crash Types. Analytic Methods in Accident Research, 24, Article 100107.

Blumenberg, E. (2009). Moving In and Moving Around: Immigrants, Travel Behavior, and Implications for Transport Policy. Transportation Letters, 1(2), 169–180.

boyd, d. (2019). Balancing Data Utility and Confidentiality in the 2020 US Census. Data & Society Research Institute. https://datasociety.net/wp-content/uploads/2019/12/Differential_Privacy_12172019.pdf.

Chen, X., & Suen, I. (2010). Richmondʼs Journey-To-Work Transit Trip-Making Analysis. Management Research and Practice, 2(3), 234–248.

Chen, Y., Ravulaparthy, S., Deutsch, K., Dalal, P., Yoon, S. Y., Lei, T., Goulias, K. G., Pendyala, R. M., Bhat, C. R., & Hu, H.-H. (2011). Development of Indicators of Opportunity-Based Accessibility. Transportation Research Record: Journal of the Transportation Research Board, No. 2255(1), 58–68.

Cho, G. H., & Rodriguez, D. (2015). Location or Design? Associations Between Neighbourhood Location, Built Environment and Walking. Urban Studies, 52(8), 1434–1453.

Clifton, K. J., Currans, K. M., Cutter, A. C., & Schneider, R. (2012). Household Travel Surveys in Context-Based Approach for Adjusting ITE Trip Generation Rates in Urban Contexts. Transportation Research Record: Journal of the Transportation Research Board, No. 2307(1), 108–119.

The CTPP and Disclosure: A Resource Paper, or Why Collect Data and Throw It Away? (Working Draft). (2008). Census Data for Transportation Planning (website). https://trbcensus.com/drb/resource_paper.pdf

Deming, E.W., & Stephan, F.F. (1940). On a Least Squares Adjustment of a Sampled Frequency Table When the Expected Marginal Totals Are Known. The Annals of Mathematical Statistics, 11(4), 427–444.

Dentel-Post, C., Cooper, D., Huang, Y., Crosley, S., Tolleson, M., & Carraher, M. (2017). Getting People Around After the Trains Stop Running: Transit Propensity Index for Late-Night Service Planning. Transportation Research Record: Journal of the Transportation Research Board, No. 2649(1), 97–105.

Suggested Citation: "References and Bibliography." National Academies of Sciences, Engineering, and Medicine. 2025. Census Data Field Guide for Transportation Applications. Washington, DC: The National Academies Press. doi: 10.17226/29028.

Diao, M. (2015). Are Inner-City Neighborhoods Underserved? An Empirical Analysis of Food Markets in a U.S. Metropolitan Area. Journal of Planning Education and Research, 35(1), 19–34.

Eisman, D. C. (2012). Spatial Analysis of Urban Built Environments and Vehicle Transit Behavior. M. S. Thesis, University of Southern California. https://spatial.usc.edu/wp-content/uploads/formidable/12/Daniel-Eisman.pdf

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Faella, T. (2018). “New Data.” In Transportation Research Circular E-C233: Applying Census Data for Transportation: 50 Years of Transportation Planning Data Progress, November 14–16, 2017, Kansas City, Missouri. Transportation Research Board, Washington, DC, 15. https://onlinepubs.trb.org/onlinepubs/circulars/ec233.pdf

Farber, S., OʼKelly, M., Miller, H. J., & Neutens, T. (2015). Measuring Segregation Using Patterns of Daily Travel Behavior: A Social Interaction Based Model of Exposure. Journal of Transport Geography, 49, 26–38.

Fayyaz, S. K., Liu, X. C., & Porter, R. J. (2017). Dynamic Transit Accessibility and Transit Gap Causality Analysis. Journal of Transport Geography, 59, 27–39.

Fields, M. G. (2014). The Correlates of Congestion: Investigating the Links Between Congestion and Urban Area Characteristics (Doctoral dissertation, The University of North Carolina at Charlotte).

Funderburg, R. G., Nixon, H., Boarnet, M. G., & Ferguson, G. (2010). New Highways and Land Use Change: Results from a Quasi-Experimental Research Design. Transportation Research Part A: Policy and Practice, 44(2), 76–98.

Gabbe, C. J. (2018). Why Are Regulations Changed? A Parcel Analysis of Upzoning in Los Angeles. Journal of Planning Education and Research, 38(3), 289–300.

Greenberg, A., & Evans, J. (2015). Pay-to-Save Transportation Pricing Strategies and Comparative Greenhouse Gas Reductions: Responding to Final Federal Rule for Existing Electric Utility Generating Units. Transportation Research Record: Journal of the Transportation Research Board, No. 2530(1), 114–123.

Grengs, J. (2010). Job Accessibility and the Modal Mismatch in Detroit. Journal of Transport Geography, 18(1), 42–54.

Guldmann, J. M. (2013). Analytical Strategies for Estimating Suppressed and Missing Data in Large Regional and Local Employment, Population, and Transportation Databases. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 3(4), 280–289.

Han, Y., & Zegras, C. (2016). Exploring Model and Behavior Uncertainty: Temporal Transferability Assessment of Vehicle Ownership Models for Boston, Massachusetts, Metropolitan Area. Transportation Research Record: Journal of the Transportation Research Board, No. 2563(1), 122–133.

Henson, K. M., & Goulias, K. G. (2011). Travel Determinants and Multiscale Transferability of National Activity Patterns to Local Populations. Transportation Research Record: Journal of the Transportation Research Board, No. 2231(1), 35–43.

Hirsch, J. A., Meyer, K. A., Peterson, M., Zhang, L., Rodriguez, D. A., & Gordon-Larsen, P. (2017). Municipal Investment in Off-Road Trails and Changes in Bicycle Commuting in Minneapolis, Minnesota over 10 years: A Longitudinal Repeated Cross-Sectional Study. International Journal of Behavioral Nutrition and Physical Activity, 14(1), 21.

Holleran, P., & Duncan, M. (2012). Sketch-Level Feasibility Analysis of Commuter Rail Service Between Kannapolis and Charlotte, North Carolina. Transportation Research Record: Journal of the Transportation Research Board, No. 2275(1), 94–101.

Horner, M. W. (2010). How Does Ignoring Worker Class Affect Measuring the Jobs–Housing Balance? Exploratory Spatial Data Analysis. Transportation Research Record: Journal of the Transportation Research Board, No. 2163(1), 57–64.

Hu, Y., & Wang, F. (2015). Decomposing Excess Commuting: A Monte Carlo Simulation Approach. Journal of Transport Geography, 44, 43–52.

Hu, Y., Wang, F., & Wilmot, C. G. (2017). Commuting Variability by Wage Groups in Baton Rouge, 1990–2010. Papers in Applied Geography, 3(1), 14–29.

Jang, W., & Yao, X. (2014). Tracking Ethnically Divided Commuting Patterns over Time: A Case Study of Atlanta. The Professional Geographer, 66(2), 274–283.

Jarosz, B. (2019). Importance of Decennial Census for Regional Planning in California. Presented at the Workshop on 2020 Census Data Products: Data Needs and Privacy Considerations, December 11–12, 2019, Committee on National Statistics of the National Academies of Sciences, Engineering, and Medicine, Washington, DC. https://sites.nationalacademies.org/cs/groups/dbassesite/documents/webpage/dbasse_197498.pdf/

Karner, A. (2019). Analyzing Public Transit Equity Using CTPP Flow Data. In CTPP Status Report: October 2019. https://www.fhwa.dot.gov/planning/census_issues/ctpp/status_report/sr1019/.

Kim, C., Sang, S., & Ban, H. (2014). Exploring Job Centers by Accessibility Using Fuzzy Set Approach: The Case Study of the Columbus MSA. GeoJournal, 79(2), 209–222.

Kim, J. H., & Hewings, G. J. (2013). Land Use Regulation and Intraregional Population–Employment Interaction. The Annals of Regional Science, 51(3), 671–693.

Suggested Citation: "References and Bibliography." National Academies of Sciences, Engineering, and Medicine. 2025. Census Data Field Guide for Transportation Applications. Washington, DC: The National Academies Press. doi: 10.17226/29028.

Krenzke, T., Li, J., Freedman, M., Judkins, D., Hubble, D., Roisman, R., and Larsen, M. (2011). NCHRP Web-Only Document 180: Producing Transportation Data Products from the American Community Survey That Comply with Disclosure Rules. Transportation Research Board, Washington, DC. https://doi.org/10.17226/18160

Kwon, S. M. (2015). The Effects of Urban Containment Policies on Commuting Patterns. Doctoral dissertation, Portland State University.

Lane, B. W. (2011). TAZ-Level Variation in Work Trip Mode Choice Between 1990 and 2000 and the Presence of Rail Transit. Journal of Geographical Systems, 13(2), 147–171.

Layman, C. C., & Horner, M. W. (2010). Comparing Methods for Measuring Excess Commuting and Jobs–Housing Balance: Empirical Analysis of Land Use Changes. Transportation Research Record: Journal of the Transportation Research Board, No. 2174(1), 110–117.

Lee, B., Gordon, P., Moore, J. E., & Richardson, H. W. (2011). The Attributes of Residence/Workplace Areas and Transit Commuting. Journal of Transport and Land Use, 4(3), 43–63.

Levinson, D. M., & Marion, B. (2010). The City Is Flatter: Changing Patterns of Job and Labor Access in Minneapolis-Saint Paul, 1995–2005. Available at SSRN 1736202.

Li, X., & Farber, S. (2016). Spatial Representation in the Social Interaction Potential Metric: An Analysis of Scale and Parameter Sensitivity. Journal of Geographical Systems, 18(4), 331–357.

Limoges, E. (1997). Improvement of Decennial Census Small-Area Employment Data: New Methods to Allocate Ungeocodable Workers. In Decennial Census Data for Transportation Planning: Case Studies and Strategies for 2000, Volume 2: Case Studies, Proceedings of a Conference, Irvine, California, April 28–May 1, 1996. Transportation Research Board, National Research Council, Washington, DC, 33–46. http://onlinepubs.trb.org/onlinepubs/conf/1997/cp13/cp13v2-004.pdf/

Limoges, E. (2004). Allocation of Missing Place of Work Data in Decennial Censuses and CTPP 2000, In CTPP Status Report: January 2004. https://www.fhwa.dot.gov/planning/census_issues/ctpp/status_report/sr0104.cfm

Liu, X., Roberts, M. C., & Sioshansi, R. (2017). Spatial Effects on Hybrid Electric Vehicle Adoption. Transportation Research Part D: Transport and Environment, 52, 85–97.

Long, L., Lin, J., & Proussaloglou, K. (2010). Investigating Contextual Variability in Mode Choice in Chicago Using a Hierarchical Mixed Logit Model. Urban Studies, 47(11), 2445–2459.

Long, L., Lin, J., & Pu, W. (2009). Model-Based Synthesis of Household Travel Survey Data in Small and Midsize Metropolitan Areas. Transportation Research Record: Journal of the Transportation Research Board, No. 2105(1), 64–70.

McCall, N. J., Bailey, D. L., Brangman, S. M., Diorio, J. M., Haes, G. S., Ledig, J. L., & Riddell, W. T. (2016). A County Level Methodology to Study the Impact on Emissions and Gasoline Tax Revenue of Plug-In Hybrid Electric Vehicles in New Jersey (No. 16-6001).

McKenna, L. (2018). “Disclosure Avoidance Techniques Use for the 1970 through 2010 Decennial Censuses of Population and Housing,” Census Research and Methodology Directorate, U.S. Census Bureau, Washington DC: https://www2.census.gov/ces/wp/2018/CES-WP-18-47.pdf.

Mishra, S., Ye, X., Ducca, F., & Knaap, G. J. (2011). A Functional Integrated Land Use-Transportation Model for Analyzing Transportation Impacts in the Maryland–Washington, DC Region. Sustainability: Science, Practice and Policy, 7(2), 60–69.

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Newman, J. P., & Bernardin, V. L. (2010). Hierarchical Ordering of Nests in a Joint Mode and Destination Choice Model. Transportation, 37(4), 677–688.

Ogura, L. M. (2010). Effects of Urban Growth Controls on Intercity Commuting. Urban Studies, 47(10), 2173–2193.

Pan, Q., Pan, H., Zhang, M., & Zhong, B. (2014). Effects of Rail Transit on Residential Property Values: Comparison Study on the Rail Transit Lines in Houston, Texas, and Shanghai, China. Transportation Research Record: Journal of the Transportation Research Board, No. 2453(1), 118–127.

Rae, A. J. (2015). Mapping the American Commute: From Mega-Regions to Mega Commutes. Working Paper. Department of Urban Studies and Planning, University of Sheffield.

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Rashidi, T. H., Auld, J., & Mohammadian, A. K. (2012). A Behavioral Housing Search Model: Two-Stage Hazard-Based and Multinomial Logit Approach to Choice-Set Formation and Location Selection. Transportation Research Part A: Policy and Practice, 46(7), 1097–1107.

Suggested Citation: "References and Bibliography." National Academies of Sciences, Engineering, and Medicine. 2025. Census Data Field Guide for Transportation Applications. Washington, DC: The National Academies Press. doi: 10.17226/29028.

Rashidi, T. H., & Mohammadian, A. (2011). Household Travel Attributes Transferability Analysis: Application of a Hierarchical Rule Based Approach. Transportation, 38(4), 697–714.

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Tawfik, A. & Zohdy, I. (2017).Understanding Travel Behavior: How Good Are Our Data Sources for Addressing Travel Behavior Information Needs? Presented at the 96th Annual Meeting of the Transportation Research Board, Washington, DC.

Tierney, K. (2012). NCHRP Synthesis 434: Use of the U.S. Census Bureauʼs Public Use Microdata Sample (PUMS) by State Departments of Transportation and Metropolitan Planning Organizations. Transportation Research Board of the National Academies, Washington, DC. https://doi.org/10.17226/22772.

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Suggested Citation: "References and Bibliography." National Academies of Sciences, Engineering, and Medicine. 2025. Census Data Field Guide for Transportation Applications. Washington, DC: The National Academies Press. doi: 10.17226/29028.

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Suggested Citation: "References and Bibliography." National Academies of Sciences, Engineering, and Medicine. 2025. Census Data Field Guide for Transportation Applications. Washington, DC: The National Academies Press. doi: 10.17226/29028.

Abbreviations and acronyms used without definitions in TRB publications:

A4A

Airlines for America

AAAE

American Association of Airport Executives

AASHO

American Association of State Highway Officials

AASHTO

American Association of State Highway and Transportation Officials

ACI–NA

Airports Council International–North America

ACRP

Airport Cooperative Research Program

ADA

Americans with Disabilities Act

APTA

American Public Transportation Association

ASCE

American Society of Civil Engineers

ASME

American Society of Mechanical Engineers

ASTM

American Society for Testing and Materials

ATA

American Trucking Associations

CTAA

Community Transportation Association of America

CTBSSP

Commercial Truck and Bus Safety Synthesis Program

DHS

Department of Homeland Security

DOE

Department of Energy

EPA

Environmental Protection Agency

FAA

Federal Aviation Administration

FAST

Fixing Americaʼs Surface Transportation Act (2015)

FHWA

Federal Highway Administration

FMCSA

Federal Motor Carrier Safety Administration

FRA

Federal Railroad Administration

FTA

Federal Transit Administration

GHSA

Governors Highway Safety Association

HMCRP

Hazardous Materials Cooperative Research Program

IEEE

Institute of Electrical and Electronics Engineers

ISTEA

Intermodal Surface Transportation Efficiency Act of 1991

ITE

Institute of Transportation Engineers

MAP-21

Moving Ahead for Progress in the 21st Century Act (2012)

NASA

National Aeronautics and Space Administration

NASAO

National Association of State Aviation Officials

NCFRP

National Cooperative Freight Research Program

NCHRP

National Cooperative Highway Research Program

NHTSA

National Highway Traffic Safety Administration

NTSB

National Transportation Safety Board

PHMSA

Pipeline and Hazardous Materials Safety Administration

RITA

Research and Innovative Technology Administration

SAE

Society of Automotive Engineers

SAFETEA-LU

Safe, Accountable, Flexible, Efficient Transportation Equity Act: A Legacy for Users (2005)

TCRP

Transit Cooperative Research Program

TEA-21

Transportation Equity Act for the 21st Century (1998)

TRB

Transportation Research Board

TSA

Transportation Security Administration

U.S. DOT

United States Department of Transportation

Suggested Citation: "References and Bibliography." National Academies of Sciences, Engineering, and Medicine. 2025. Census Data Field Guide for Transportation Applications. Washington, DC: The National Academies Press. doi: 10.17226/29028.

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Suggested Citation: "References and Bibliography." National Academies of Sciences, Engineering, and Medicine. 2025. Census Data Field Guide for Transportation Applications. Washington, DC: The National Academies Press. doi: 10.17226/29028.
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Suggested Citation: "References and Bibliography." National Academies of Sciences, Engineering, and Medicine. 2025. Census Data Field Guide for Transportation Applications. Washington, DC: The National Academies Press. doi: 10.17226/29028.
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Suggested Citation: "References and Bibliography." National Academies of Sciences, Engineering, and Medicine. 2025. Census Data Field Guide for Transportation Applications. Washington, DC: The National Academies Press. doi: 10.17226/29028.
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Suggested Citation: "References and Bibliography." National Academies of Sciences, Engineering, and Medicine. 2025. Census Data Field Guide for Transportation Applications. Washington, DC: The National Academies Press. doi: 10.17226/29028.
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Suggested Citation: "References and Bibliography." National Academies of Sciences, Engineering, and Medicine. 2025. Census Data Field Guide for Transportation Applications. Washington, DC: The National Academies Press. doi: 10.17226/29028.
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Suggested Citation: "References and Bibliography." National Academies of Sciences, Engineering, and Medicine. 2025. Census Data Field Guide for Transportation Applications. Washington, DC: The National Academies Press. doi: 10.17226/29028.
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Suggested Citation: "References and Bibliography." National Academies of Sciences, Engineering, and Medicine. 2025. Census Data Field Guide for Transportation Applications. Washington, DC: The National Academies Press. doi: 10.17226/29028.
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