Socio-economic and transport trends in India and the United States: a preliminary comparative study

REFERENCES

• Abdelghany, A.F., K.F. Abdelghany, H.S. Mahmassani and P.M. Murray (2000). Dynamic Traffic Assignment in Design and Evaluation of High-Occupancy Toll Lanes. Transportation Research Record: Journal of the Transportation Research Board, 1733, 39–48.
   Google Scholar
• Arentze, T. and H. Timmermans (2005). ALBATROSS Version 2.0. A Learning Based Transportation Oriented Simulation System. EIRASS, European Institute of Retailing and Services Studies, Eindhoven University of Technology, Eindhoven, The Netherlands.
   Google Scholar
• Bai, S., Y-C. Chiu and D. Niemeier (2008). Using Dynamic Assignment to Improve Regional Mobile Emissions Estimation. Proceedings of the 87th Annual Meeting of the Transportation Research Board, January 2008. Washington, D.C.
   Google Scholar
• Banerjee, A., X. Ye and R.M. Pendyala (2007a). Understanding Travel Time Expenditures Around the World: Exploring the Notion of a Travel Time Frontier. Transportation, 34(1), 51–65.
   Web of Science ®Google Scholar
• Banerjee, A., X. Ye and R.M. Pendyala (2007b). An Analysis of Commute Travel Times in an International Context. Proceedings of the 86th Annual Meeting of the Transportation Research Board. January 2007. Washington, D.C.
   Google Scholar
• Ben-Akiva, M.E., J.L. Bowman and D. Gopinath (1996). Travel Demand Model System for the Information Era. Transportation, 23(3), 241–266.
   Web of Science ®Google Scholar
• Bhat, C.R. (2008). The Multiple Discrete-Continuous Extreme Value (MDCEV) Model: Role of Utility Function Parameters, Identification Considerations, and Model Extensions. Transportation Research Part B, 42(3), 274�303.
   Google Scholar
• Bhat, C.R., J.Y. Guo, S. Srinivasan and A. Sivakumar (2004). Comprehensive Econometric Microsimulator for Daily Activity-Travel Patterns. Transportation Research Record: Journal of the Transportation Research Board, 1894, 57–66.
   Google Scholar
• Bowman, J.L., M. Bradley, Y. Shiftan, T.K. Lawton and M.E. Ben-Akiva (1998). Demonstration of an Activity-Based Model for Portland. World Transport Research: Selected Proceedings of the 8th World Conference on Transport Research, Volume 3, Oxford: Elsevier, 171–184.
   Google Scholar
• Bureau of Labor Statistics (BLS) (2005). Women in the Labor Force: A Databook. U.S. Department of Labor. Available at: http://www.bls.gov/cps/wlf-databook-2005.pdf. Accessed Feb. 5, 2008.
   Google Scholar
• Bureau of Labor Statistics (BLS) (2008). Employment Information. U.S. Department of Labor. Available at: http://www.bls.gov/cps/#annual. Accessed February 5, 2008.
   Google Scholar
• Bureau of Transportation Statistics (BTS) (2006). National Transportation Statistics. Research and Innovative Technology Administration, U.S. Department of Transportation. Available at: http://www.bts.gov/publications/national_transportation_statistics. Accessed February 5, 2008.
   Google Scholar
• Bureau of Transportation Statistics (BTS) (2008). Air Carrier Traffic Statistics. Research and Innovative Technology Administration, U.S. Department of Transportation. Available at: http://www.bts.gov/programs/airline_information/air_carrier_traffic_statistics. Accessed February 5, 2008.
   Google Scholar
• Carbon Dioxide Information Analysis Center (CDIAC) (2007). National CO₂ Emissions from Fossil-Fuel Burning, Cement Manufacture, and Gas Flaring. Oak Ridge National Laboratory, Department of Energy, US. Available at: http://cdiac.ornl.gov/ftp/ndp030/nation.1751_2004.ems. Accessed February 5, 2008.
   Google Scholar
• Census of India (2007). General and Census Commission, India, Office of the Registrar. Available at: http://census-india.gov.in/. Accessed February 5, 2008.
   Google Scholar
• CTIA-The Wireless Association (2007). CTIA Semi-Annual Wireless Industry Survey 2007. Available at: http://files.ctia.org/pdf/CTIA_Survey_Mid_Year_2007.pdf. Accessed February 5, 2008.
   Google Scholar
• Department of Road Transport and Highways (DRTH) (2005). Road Accidents in India 1970–2005. Ministry of Shipping Road Transport and Highways (MORTH), Government of India. Available at: http://morth.nic.in/writereaddata/sublinkimages/table-6408184011.htm. Accessed February 5, 2008.
   Google Scholar
• Department of Road Transport and Highways (DRTH) (2008a). Total Number of Registered Motor Vehicles in India—1951–2004. Ministry of Shipping Road Transport and Highways (MORTH), Government of India. Available at: http://morth.nic.in/writereaddata/sublin-kimages/table-12458822488.htm. Accessed February 5, 2008.
   Google Scholar
• Department of Road Transport and Highways (DRTH) (2008b). Road Network in India. Ministry of Shipping Road Transport and Highways (MORTH), Government of India. Available at: http://morth.nic.in/index1.asp?linkid=63&langid=2. Accessed February 5, 2008.
   Google Scholar
• Directorate General of Civil Aviation (DGCA) (2007). Air Transportation Statistics 1997–2006. Ministry of Civil Aviation, Government of India. Available at: http://dgca.nic.in/reports/stat-ind.htm. Accessed February 5, 2008.
   Google Scholar
• Eluru, N., A.R. Pinjari, J.Y. Guo, I.N. Sener, S. Srinivasan, R.B. Copperman, and C.R. Bhat (2008). Population Updating System Structures and Models Embedded Within the Comprehensive Econometric Microsimulator for Urban Systems (CEMUS). Transportation Research Record: Journal of the Transportation Research Board, 2076, 171�182.
   Google Scholar
• Energy Information Administration (EIA) (2008). U.S. Weekly Finished Motor Gasoline Product Supplied. U.S. Department of Energy, Washington, D.C. Available at: http://tonto.eia.doe.gov/dnav/pet/hist/wgfupus2w.htm. Accessed February 5, 2008.
   Google Scholar
• Federal Highway Administration (FHWA) (2005). Highway Statistics 1900–2005. Office of Highway Policy Information, U.S. Department of Transportation. Available at: http://www.fhwa.dot.gov/policy/ohpi/hss/hsspubs.htm. Accessed February 5, 2008.
   Google Scholar
• Freedman, J., J. Castiglione and B. Charlton (2006). Analysis of New Starts Projects by Using Tour-Based Model of San Francisco, California. Transportation Research Record: Journal of the Transportation Research Board, 1981, 24–33.
   Google Scholar
• Geunsler, R., H. Li, J.H. Ogle, K.W. Axhausen, and S. Schönfelder (2006). Analysis of Commute Atlanta Instrumented Vehicle GPS Data: Destination Choice Behavior and Activity Spaces. Proceedings of the 85th Annual Meeting of the Transportation Research Board, January 2006. Washington, D.C.
   Google Scholar
• Habib, K., J.A. Carrasco, and E.J. Miller (2008). Social Context of Activity Scheduling: Discrete-Continuous Model of Relationship Between “with Whom” and Episode Start Time and Duration. Transportation Research Record: Journal of the Transportation Research Board, 2076, 81–87.
   Web of Science ®Google Scholar
• Hato, E. and R. Kitamura (2008). Data-Oriented Travel Behavior Analysis Based on Probe Systems. Proceedings of the Innovations in Travel Demand Modeling Conference, 42(2), 187–196.
   Google Scholar
• International Energy Agency (IEA) (2006). Energy Balances of OECD Countries — Extended Balances; and Energy Balances of Non-OECD Countries — Extended Balances. International Energy Agency, Paris. Available at: http://data.iea.org/ieastore/default.asp. Accessed February 5, 2008.
   Google Scholar
• International Institute of Population Sciences (IIPS) (1995). India: DHS1992/93 Final Report. Demographic and Health Surveys. Available at: http://www.measuredhs.com/pubs/pub_details.cfm?ID=609&ctry_id=57&SrchTp=ctry. Accessed February 5, 2008.
   Google Scholar
• International Institute of Population Sciences (IIPS) (2000). India: DHS 1998/99 Final Report. Demographic and Health Surveys. Available at: http://www.mea-suredhs.com/pubs/pub_details.cfm?ID=297&ctry_id=57&SrchTp=ctry. Accessed February 5, 2008.
   Google Scholar
• International Institute of Population Sciences (IIPS) (2007). India: DHS 2005/2006 Final Report. Demographic and Health Surveys. Available at: http://www.mea-suredhs.com/pubs/pub_details.cfm?ID=723&ctry_id=57&SrchTp=ctry. Accessed February 5, 2008.
   Google Scholar
• Internet and Mobile Association of India (IMAI) (2007). Internet in India. I-Cube. Available at: http://www.iamai.in/Upload/Research/I-Cube-2007-Summary-Report-final.pdf. Accessed February 5, 2008.
   Google Scholar
• Internet World Stats (IWS) (2008). Internet Usage and Broadband Usage Report. Available at: http://www.internetworldstats.com/am/us.htm. Accessed February 5, 2008.
   Google Scholar
• Kang, H. and D.M. Scott (2007). Integrated Spatiotemporal GIS System for Exploring Intrahousehold Interactions. Proceedings of the 86th Annual Meeting of the Transportation Research Board, January 2007, Washington, D.C.
   Google Scholar
• Kitamura, R., C. Chen, R.M. Pendyala and R. Narayanan (2000). Micro-Simulation of Activity-Travel Patterns for Travel Demand Forecasting. Transportation, 27(1), 25–51.
   Web of Science ®Google Scholar
• Kitamura, R., E.I. Pas, C.V. Lula, T.K. Lawton and P.E. Benson (1996). The Sequenced Activity Mobility Simulator (SAMS): An Integrated Approach to Modeling Transportation, Land Use, and Air Quality. Transportation, 23(3), 267–292.
   Web of Science ®Google Scholar
• Kitamura, R., T. Yamamoto, K. Kishizawa and R.M. Pendyala (2000). Stochastic Frontier Models of Prism Vertices. Transportation Research Record: Journal of the Transportation Research Board, 1718, 18–26.
   Google Scholar
• Kuhnau, J. and K.G. Goulias (2003). CentreSIM: First�Generation Model Design, Pragmatic Implementation, and Scenarios, in: K.G. Goulias, ed, Transportation Systems Planning: Methods and Applications, Boca Raton: CRC Press, 16–1 - 16–14.
   Google Scholar
• Lin, D-Y., N. Eluru, S.T. Waller and C.R. Bhat (2008). Integration of Activity-Based Modeling and Dynamic Traffic Assignment. Transportation Research Record: Journal of the Transportation Research Board, 2076, 52–61.
   Web of Science ®Google Scholar
• Mahmassani, H.S. (1998). Dynamic Traffic Simulation and Assignment: Models, Algorithms, and Application to ATIS/ATMS Evaluation and Operation, in: M. Labbe, G. Laporte, K. Tanczos and P. Toint, eds, Proceedings of the NATO Advanced Study Institute on Operations Research and Decision Aid Methodologies in Traffic and Transportation Management, New York: Springer Verlag, 104–135.
   Google Scholar
• Newburger, E.C. (1999). Computer Use in United States. Current Population Reports, U.S. Census Bureau. Available at: http://www.census.gov/prod/99pubs/p20-522.pdf. Accessed February 5, 2008.
   Google Scholar
• Padam, S. and S.K. Singh (2001). Urbanization and Urban Transport in India: The Sketch for a Policy. Transport Asia Project Workshop, Pune, India. Available at: http://www.deas.harvard.edu/TransportAsia/workshop_papers/Padam-Singh.pdf. Accessed February 5, 2008.
   Google Scholar
• Papinski, D., D.M. Scott and S.T. Doherty (2008). Exploring Route Choice Decision-Making Process: Comparison of Preplanned and Observed Routes Obtained Using Person-Based GPS. Proceedings of the 87th Annual Meeting of the Transportation Research Board, January 2008. Washington, D.C.
   Google Scholar
• Pendyala, R.M. (2005). Modeling Pricing in the Planning Process. Proceedings of the Expert Forum on Road Pricing and Travel Demand Modeling. Volpe National Transportation Systems Center, Office of Transportation Policy, U.S. Department of Transportation, Report No. DOT-OST/P-001-06, Washington, D.C. Available at: http://tmip.fhwa.dot.gov/clearinghouse/docs/DOT-OST-P-001-06/DOT-OST-P-001-06.pdf. Accessed February 5, 2008.
   Google Scholar
• Pendyala, R.M., X. Chu, S. Polzin and R. Bunner (2005). TBEST Version 2.1: Transit Boardings Estimation and Simulation Tool Users Guide (Version 2.1). Final Report, Florida Department of Transportation, Public Transit Office, Tallahassee, FL. Available at: http://www.pub-lic.asu.edu/~rpendyal/TBEST%20Users%20Guide.pdf. Accessed February 5, 2008.
   Google Scholar
• Pendyala, R.M., T. Yamamoto and R. Kitamura (2002). On the Formulation of Time Space Prisms to Model Constraints on Personal Activity-Travel Engagement. Transportation, 29(1), 73–94.
   Web of Science ®Google Scholar
• Pinjari, A.R., C.R. Bhat and D.A. Hensher (2008). Residential Self-Selection Effects in Activity Time-Use Behavior Model. Transportation Research Part B (in press). Available at: http://www.ce.utexas.edu/prof/bhat/ABSTRACTS/Clean_selfselection_rev24Jan09_second_round.pdf. Accessed February 5, 2009.
   Google Scholar
• Planning Commission (1999). Indian Planning Experience — A Statistical Profile. Government of India. Available at http://planningcommission.gov.in/data/stat/dt_pling99.pdf. Accessed February 5, 2008.
   Google Scholar
• Planning Commission (2001). Indian Planning Experience — A Statistical Profile. Government of India. Available at: http://planningcommission.nic.in/plans/planrel/plstat.htm. Accessed February 5, 2008.
   Google Scholar
• Polzin, S.E. (2006). The Case for Moderate Growth in Vehicle Miles of Travel: A Critical Juncture in U.S. Travel Behavior Trends. Prepared for the U.S. Department of Transportation. Available at: http://www.cutr.usf.edu/pdf/The%20Case%20for%20Moderate%20Growth%20in%20VMT%202006%20Final.pdf. Accessed February 5, 2008.
   Google Scholar
• Population Division of the Department of Economic and Social Affairs (PDDESA) (2005). World Population Prospects: The 2004 Revision. United Nations, New York. Available at: http://www.un.org/esa/population/publica-tions/WPP2004/wpp2004.htm. Accessed February 5, 2008.
   Google Scholar
• Pucher, J. and J.L. Renne (2003). Socioeconomics of Urban Travel: Evidence from the 2001 NHTS. Transportation Quarterly, 57, 49–77.
   Google Scholar
• Pucher, J., Z. Peng, N. Mittal, Y. Zhu and N. Korattyswaroopam (2007). Urban Transport Trends and Policies in China and India: Impacts of Rapid Economic Growth. Transport Reviews, 27, 379–410.
   Web of Science ®Google Scholar
• Salvini, P. and E.J. Miller (2005). ILUTE: An Operational Prototype of a Comprehensive Urban Microsimulation Model of Urban Systems. Networks and Spatial Economics, 5, 217–234.
   Web of Science ®Google Scholar
• Singal, B.I. (2000). Urban Transport Strategy for Indian Cities. Urban Transport Journal, 1, 24–34.
   Google Scholar
• Stopher, P.R., D.T. Hartgen, and Y. Li (1996). SMART: Simulation Model for Activities, Resources, and Travel. Transportation, 23(3), 293–312.
   Web of Science ®Google Scholar
• Telecom Regulatory Authority of India (TRAI) (2007). Annual Report 2006–2007. Ministry of Communications and Information Technology, Government of India. Available at: http://www.trai.gov.in/annualreport/
   Google Scholar
• AReport 192006-07English.pdf. Accessed February 5, 2008.
   Google Scholar
• The World Bank (2001). Railways Database. Available at: http://www.worldbank.org/transport/rail/rdb/rdb0111.xls. Accessed February 5, 2008.
   Google Scholar
• U.S. Census Bureau (2007). National Population Estimates Archives. U.S. Census Bureau, Washington, D.C. Available at: http://www.census.gov/popest/archives/index.html. Accessed February 5, 2008.
   Google Scholar
• United Nations Statistics Division (UNSD) (2007). Gross National Income in U.S. Dollars. National AccountsMain Aggregates Database. United Nations, New York. Available at: http://unstats.un.org/unsd/snaama/dnllist.asp. Accessed February 5, 2008.
   Google Scholar
• Vovsha, P. and K. Chiao (2008). Development of New York Metropolitan Transportation Council Tour-Based Model. Proceedings of the Innovations in Travel Demand Modeling Conference, Portland, Oregon. June 2008.
   Google Scholar
• Vovsha, P., M. Bradley and J.L. Bowman (2005). Activity- Based Travel Forecasting Models in the United States: Progress since 1995 and Prospects for the Future, in: H. Timmermans, ed, Progress in Activity-Based Analysis. Oxford: Elsevier, 289–414.
   Google Scholar
• Yagi, S. and A. Mohammadian (2008). Joint Models of Home-Based Tour Mode and Destination Choices: Applications to a Developing Country. Transportation Research Record: Journal of the Transportation Research Board, 2076, 29–40.
   Google Scholar
• Ye, X. and R.M. Pendyala (2007). Analysis of Relationship Between Timing and Duration of Maintenance Activities Using Alternative Joint Discrete-Continuous Modeling Systems. Proceedings of the 86th Annual Meeting of the Transportation Research Board, January 2007. Washington, D.C.
   Google Scholar
• Yalamanchili, L., R.M. Pendyala, N. Prabaharan and P. Chakravarthy (1999). Analysis of Global Positioning System-Based Data Collection Methods for Capturing Multistop Trip-Chaining Behavior. Transportation Research Record: Journal of the Transportation Research Board, 1660, 58–65.
   Google Scholar
• Zhan, F.B. and X. Chen (2008). GIS Model for Analyzing Intercity Commute Patterns: A Case Study of the Austin- San Antonio Corridor in Texas. Technical report pre�pared for the Texas Department of Transportation (Project 0-5345-R2), Texas Center for Geographic Information Science, Department of Geography, Texas State University, San Marcos, TX.
   Google Scholar