Recently Communicated Papers
- Biswas, M., Feroz, M.N., Bhat, C.R., & Pinjari, A.R. (2023). The Use of Pooled RP-SP Choice Data to Simultaneously Identify Variability in Alternative Attributes and Random Coefficients on Those Attributes. Working paper, Indian Institute of Science.
- Biswas, M., Pinjari, A.R., Bhat, C.R., & Ghosh, S. (2022). Choice models with stochastic variables and random coefficients. Working paper, Indian Institute of Science. [PDF]
- Kushwaha, V., Pinjari, A.R., Shaukat, S.K., Sundaresan, R., Suzuki, Y., and Verma, P. (2022). An integrated game-theoretic and discrete choice framework to evaluate the benefits of collaboration between rideshare and transit service providers. Working paper, Indian Institute of Science. [PDF]
- Saxena, S., Pinjari, A.R., Burman, A. (2022). Impact of commute on daily activity participation and time-use decisions of workers in metropolitan cities of India: A gender differential analysis. Working paper, Indian Institute of Science.
- Biswas, M., Pinjari, A.R., and Dubey, S.K. (2019). Travel time variability and route choice: An integrated choice and stochastic variable (ICSV) modelling framework. Working paper, Indian Institute of Science.
- Paleti. R., and A.R. Pinjari (2018). A new class of ordered response models with stochastic thresholds. Working paper, Oak Ridge National Laboratory (ORNL).
Journal Articles - Published/Accepted
- Deepa, L., Pinjari, A.R., Nirmale, S.K., Biswas, M., and Srinivasan, K.K. (2023). The adverse impact of headway variability on bus transit ridership: Evidence from Bengaluru, India. Accepted, Transport Policy. [PDF]
- Saxena, S., Bhat, C.R., and Pinjari, A.R. (2023). Separation-based parameterization strategies for estimation of restricted covariance matrices in multivariate model systems. Journal of choice modelling. Vol. 47, 100411. https://doi.org/10.1016/j.jocm.2023.100411
- Nirmale, S., and Pinjari A.R. (2023). Discrete choice models with multiplicative stochasticity in choice environment variables: Application to accommodating perception errors in driver behaviour models. Transportation Research Part B. Vol. 170, pp. 169-193. [PDF]. https://doi.org/10.1016/j.trb.2023.02.014
- Nirmale, S., Sharma, A., and Pinjari A.R. (2023). Multi-vehicle anticipation based driver behaviour models: A synthesis of existing research and future research directions. Accepted, Transportation Letters. https://doi.org/10.1080/19427867.2023.2231212
- Saxena, S., Pinjari, A.R., and Paleti, R. (2022). A multiple discrete-continuous extreme value model with ordered preferences (MDCEV-OP): Modelling framework for episode-level activity participation and time-use analysis. Transportation Research Part B. Vol. 166, pp. 259-283. [PDF]. https://doi.org/10.1016/j.trb.2022.09.008
- Saxena, S., Pinjari, A.R., Bhat, C.R., and Mondal, A. (2022). A flexible multiple discrete-continuous probit model: Application to analysis of expenditure patterns of domestic tourists in India. Accepted, Transportation. [PDF]. https://doi.org/10.1007/s11116-022-10364-y
- Deepa, L., Pinjari, A.R., Nirmale, S.K., Srinivasan, K.K., and Rambha, T. (2022). A direct demand model for bus transit ridership in Bengaluru, India. Transportation Research part A. Vol. 163, pp. 126-147. [PDF]. https://doi.org/10.1016/j.tra.2022.07.004
- Deepa, L., Mondal, A., Raman, A., Pinjari, A.R., Bhat, C.R., Srinivasan, K.K., Pendyala, R.M., Ramadurai, G. (2022). An analysis of individuals’ usage of bus transit in Bengaluru, India: Disentangling the influence of unfamiliarity with transit from that of subjective perceptions of service quality. Travel Behaviour and Society. Vol. 29, pp. 1-11. [PDF]. https://doi.org/10.1016/j.tbs.2022.05.001
- Nirmale, S., Pinjari, A.R., and Sharma, A. (2022). A panel data-based discrete-continuous modelling framework to analyse longitudinal driver behaviour in homogeneous and heterogeneous disordered traffic conditions. Accepted, Transportation Letters. [PDF]. https://doi.org/10.1080/19427867.2022.2132058
- Khaddar, S., Saxena, S., Fatmi, M.R., and Pinjari, A.R. (2022). An episode level joint model for activity engagement, duration, and destination location choice decisions. Transportation Letters. https://doi.org/10.1080/19427867.2022.2102347
- Sharda, S., Ye, X., Raman, A., Pendyala, R.M., Pinjari, A.R., Bhat, C.R., Srinivasan, K., and Ramadurai, G. (2022). Accounting for the Influence of Attitudes and Perceptions in Modeling the Adoption of Emerging Transportation Services and Technologies in India. Accepted, Transportation Research Record: Journal of the Transportation Research Board. https://doi.org/10.1177/03611981221088203
- Saxena, S., Pinjari, A.R., and Bhat, C.R. (2022). Multiple discrete-continuous choice models with additively separable utility functions and linear utility on outside good: Model properties and characterization of demand functions. Transportation Research Part B. Vol. 155, pp. 526-557. [PDF]. https://doi.org/10.1016/j.trb.2021.11.011
- Bhat, C.R., Mondal, A., Pinjari, A.R., Saxena, S., and Pendyala, R.M. (2021). A multiple discrete-continuous choice extreme value model with with a linear utility profile for the outside good recognizing positive consumption constraints. Transportation Research Part B. Vol. 156, pp. 28-49. https://doi.org/10.1016/j.trb.2021.12.013
- Chakroborty, P., Pinjari, A.R., Meena, J., and Gandhi, A. (2021). A Psychophysical Ordered Response Model of Time Perception and Service Quality: Application to Level of Service Analysis at Toll Plazas. Transportation Research Part B. Vol. 154, pp. 44-64. [PDF]. https://doi.org/10.1016/j.trb.2021.09.010
- Nirmale, S.K., Pinjari, A.R., and Sharma. A. (2021). A discrete-continuous multi-vehicle anticipation model of driving behaviour in heterogeneous disordered traffic conditions. Transportation Research Part C. Vol. 128, 103144. [PDF]. https://doi.org/10.1016/j.trc.2021.103144
- Saxena, S., Pinjari, A.R., Roy, A., and Paleti, R. (2021). Multiple discrete-continuous choice models with bounds on consumptions. Transportation Research Part A. Vol. 149, pp. 237-265. [PDF] https://doi.org/10.1016/j.tra.2021.03.016
- Pellegrini, A., Pinjari, A.R., and Maggi, R. (2021). A multiple discrete continuous model of time use that accommodates non-additively separable utility functions along with time and monetary budget constraints. Transportation Research Part A. Vol. 144, pp. 37-53. [PDF]. https://doi.org/10.1016/j.tra.2020.11.009
- Pinjari, A.R., and Bhat, C.R. (2021). Computationally Efficient Forecasting Procedures for Kuhn-Tucker Consumer Demand Model Systems: Application to Residential Energy Consumption Analysis. Journal of Choice Modelling. Vol. 39, 100283. [PDF] [Word] [Gauss Codes] https://doi.org/10.1016/j.jocm.2021.100283
- Balusu, S., Mannering, F.L., and Pinjari, A.R. (2020). Hazard-based duration analysis of the time between motorcyclists’ initial training and their first crash. Analytic Methods in Accident Research. Vol.28, 100143. https://doi.org/10.1016/j.amar.2020.100143
- Tahlyan, D., and Pinjari, A.R. (2020). Performance Evaluation of Choice Set Generation Algorithms for Analyzing Route Choice: Insights from Spatial Aggregation for the BFS-LE Algorithm. Transportmetrica A: Transport Science. Vol. 16(3), pp. 1030-1061. [PDF] [Word] https://doi.org/10.1080/23249935.2020.1725790
- Calastri, C., Hess, S., Pinjari, A.R., Daly, A (2020). Accommodating correlation across days in multiple-discrete continuous models for time use. Transportmetrica B: Transport Dynamics, Vol. 8(1), pp. 108-128. PDF. https://doi.org/10.1080/21680566.2020.1721379
- Menon, N., Y. Zhang, A.R. Pinjari, F.L. Mannering (2020). A statistical analysis of consumer perceptions towards automated vehicles and their intended adoption. Transportation Planning and Technology. Vol. 43 (3), pp. 253-278. https://doi.org/10.1080/03081060.2020.1735740
- Devaraj, A., G.A. Ramakrishnan, G.S. Nair, K.K. Srinivasan, C.R. Bhat, A.R. Pinjari, G. Ramadurai, Pendyala, R.M. (2020). Joint Model of App-Based Ridehailing Adoption, Intensity of Use and Intermediate Public Transport (IPT) Consideration among Workers in Chennai City. Transportation Research Record: Journal of the Transportation Research Board. Vol. 2674(4), pp. 152-164. https://doi.org/10.1177/0361198120912237
- Dias, F.F., T. Kim, C.R. Bhat, R.M. Pendyala, W.H.K. Lam, A.R. Pinjari, K.K.Srinivasan, Ramadurai, G. (2020). Modeling the evolution of ride-hailing adoption and usage: A case study of the Puget Sound region. Accepted, Transportation Research Record: Journal of the Transportation Research Board. https://doi.org/10.1177/0361198120964788
- Dias, F.F., P.S. Lavieri, S. Sharda, S. Khoeini, C.R. Bhat, R.M. Pendyala, A.R. Pinjari, G. Ramadurai, Srinivasan, K.K. (2020). A comparison of online and in-person activity engagement: The case of shopping and eating meals. Transportation Research Part C, Vol. 114, pp. 643-656. https://doi.org/10.1016/j.trc.2020.02.023
- Zhao, D., S.K. Balusu, P. V. Sheela, X. Li, A.R. Pinjari, and N. Eluru (2020). Weight-Categorized Truck Flow Estimation: A Data-fusion Approach and a Florida Case Study. Transportation Research Part E. Vol. 136, 101890. https://doi.org/10.1016/j.tre.2020.101890
- Chen, T., Saxena, S., Pinjari, A.R., Bhat, C., Bai, Lu (2020). Evaluation of Penalty and Enforcement Strategies to Combat Speeding Offences among Professional Drivers: A Hong Kong Stated Preference Experiment. Accident Analysis and Prevention. Vol. 135, 105366. https://doi.org/10.1016/j.aap.2019.105366
- Momtaz, S.U., N. Eluru, S. Anowar, N. Keenya, B. Dey, A.R. Pinjari, F. Tabatabaee (2020). Fusing Freight Analysis Framework and Transearch Data: An Econometric Data Fusion Approach with Application to Florida. ASCE Journal of Transportation Engineering, Part A: Systems. 146(2). https://doi.org/10.1061/JTEPBS.0000294
- Pinjari, A.R (2019). Recent Advances in Transportation Research. Journal of the Indian Institute of Science. Vol. 99(4), pp. 549-551. https://doi.org/10.1007/s41745-019-00136-6
- Ma, J., X. Ye, and A.R. Pinjari (2019). A Practical Method to Simulate Multiple Discrete Continuous Generalized Extreme Value Model: An Application to Examine Substitution Patterns of Household Transportation Expenditures. Vol 2673(8), pp. 145-156. Transportation Research Record: Journal of the Transportation Research Board. https://doi.org/10.1177/0361198119842819
- Gurram, S., A.L. Stuart, and A.R. Pinjari (2019). Agent-based modeling to estimate exposures to urban air pollution from transportation: exposure disparities and impacts of high-resolution data. Computers, Environment and Urban Systems. Vol. 75, pp. 22-34. https://doi.org/10.1016/j.compenvurbsys.2019.01.002
- Balusu, S.K., A.R. Pinjari, F.L. Mannering, and N. Eluru (2018). Non-decreasing threshold variances in mixed generalized ordered response models: A negative correlations approach to variance reduction. Analytic Methods in Accident Research, Vol. 20, pp. 46-67. https://doi.org/10.1016/j.amar.2018.09.003 [Download PDF]
- Luong, T., D. Tahlyan, and A.R. Pinjari (2018). Comprehensive Exploratory Analysis of Truck Route Choice Diversity in Florida. Forthcoming, Transportation Research Record: Journal of the Transportation Research Board. https://doi.org/10.1177/0361198118784175
- Menon, N., N. Barbour, Y, Zhang, A.R. Pinjari, and F.L. Mannering (2018). Shared autonomous vehicles and their potential impacts on household vehicle ownership: An exploratory empirical assessment. Forthcoming, International Journal of Sustainable Transportation. https://doi.org/10.1080/15568318.2018.1443178
- Enam, A., K. Konduri, A.R. Pinjari, and N. Eluru (2017). An Integrated Choice and Latent Variable Model for Multiple Discrete Continuous Choice Kernels: Application Exploring the Association between Day-level Moods and Discretionary Activity Engagement Choices. Journal of Choice Modelling, Vol 26, pp. 80-100. https://doi.org/10.1016/j.jocm.2017.07.003 [Download]
- Astroza, S., A.R. Pinjari, C.R. Bhat, and S.R. Jara-Diaz (2017). A Microeconomic Theory-based Latent Class Multiple Discrete-Continuous Choice Model of Time Use and Goods Consumption. Forthcoming, Transportation Research Record. [Download]
- Patil, P.N., S.K. Dubey, A.R. Pinjari, E. Cherchi, R. Daziano, and C.R. Bhat (2017). Simulation Evaluation of Emerging Estimation Techniques for Multinomial Probit Models. Journal of Choice Modelling, Vol. 23, pp. 9-20. [Download] [Appendix]
- Pinjari, A.R., B, Augstin, A. Faghih Imani, V. Sivaraman, N. Eluru, and R.M. Pendyala (2016). Stochastic Frontier Estimation of Budgets for Kuhn-Tucker Demand Systems: Application to Activity Time-Use Analysis. Transportation Research Part A: Policy and Practice, Vol. 88, 117-133. [Download]
- Kamali, M., A. Ermagun, K. Viswanathan, and A.R. Pinjari (2016). Deriving Truck Route Choice from Large GPS Data Streams. Transportation Research Record, Journal of the Transportation Research Board. Vol 2563, pp. 62-70. Among the four Best Papers from 15th Transportation Research Board (TRB) Transportation Planning Applications Conference, invited for for early publication in Transportation Research Record. [Download]
- Motro, M., A. Chu, J. Choi, P.S. Lavieri, A.R. Pinjari, C.R. Bhat, J. Ghosh and R.W. Heath Jr. (2016). Vehicular Ad-Hoc Network Simulations of Overtaking Maneuvers on Two-Lane Rural Highways. Transportation Research Part C, Vol. 72, pp. 60-76. [Download]
- Bhat, C.R., A.R. Pinjari, S.K. Dubey, and A. Hamdi (2016). On Accommodating Spatial Interactions in a Generalized Heterogeneous Data Model (GHDM) of Mixed Types of Dependent Variables. Transportation Research Part B, Vol. 94, pp. 240-263. [Download] [Appendix]
- Ruiz Juri, N., R.M. James, N. Jiang, J. Duthie, A.R. Pinjari, and C.R. Bhat (2016). Computation of Skims for Large-Scale Implementations of Integrated Activity-Based and Dynamic Traffic Assignment Models. Transportation Research Record, Vol. 2563, pp. 134-143. [Download]
- Yasmin, S., N. Eluru, and A.R. Pinjari (2015). Pooling Data from Fatality Analysis Reporting System (FARS) and Generalized Estimates System (GES) to Explore the Continuum of Injury Severity Spectrum. Accident Analysis and Prevention, Vol. 84, 112-127. [Download]
- Yasmin. S., N. Eluru, and A.R. Pinjari (2015). Analyzing the Continuum of Fatal Crashes: A Generalized Ordered Approach. Analytic Methods in Accident Research, Vol. 7, 1-15. [Download]
- Bhat, C.R., M. Castro, and A.R. Pinjari (2015). Allowing for Complementarity and Rich Substitution Patterns in Multiple Discrete-Continuous Models. Transportation Research Part B, Vol. 81, pp. 59-77. [Download]
- Zanjani, A.B., A.R., Pinjari, M. Kamali, A. Thakur, J.B. Short, V. Mysore, and F. Tabatabaee (2015). Estimation of Statewide Origin-Destination Truck Flows Using Large Streams of GPS Data: An Application for the Florida Statewide Model. Accepted, Transportation Research Record: Journal of the Transportation Research Board. [Download]
- Thakur, A., A.B. Zanjani, A.R., Pinjari, J.B. Short, V. Mysore, and F. Tabatabaee (2015). Development of Algorithms to Convert Large Streams of Truck GPS Data into Truck Trips. Transportation Research Record: Journal of the Transportation Research Board, No. 2529, 66-73. [Download]
- Augustin, B., A.R. Pinjari, N. Eluru, and R.M. Pendyala (2015). Alternative Approaches for Estimating Annual Mileage Budgets for a Multiple Discrete-Continuous Choice Model of Household Vehicle Ownership and Utilization: An Empirical Assessment. Accepted, Transportation Research Record: Journal of the Transportation Research Board. [Download]
- Gurram, S., A.L. Stuart, and A.R. Pinjari (2014). Impact of Travel Activity and Urbanicity on Exposures to Ambient Nitrogen Oxides and on Exposure Disparities between Sub-populations in Tampa, Florida. Air Quality, Atmosphere & Health, 8(1), 97-114. [Link to publication]
- Sikder, S., and A.R. Pinjari (2014). The Benefits of Allowing Heteroscedastic Stochastic Distributions in Multiple Discrete-Continuous Choice Models. Journal of Choice Modelling, Vol. 9, 39-56. [Download]
- Sikder, S., B. Augustin, A.R. Pinjari, and N. Eluru (2014). Spatial Transferability of Tour-based Time-of-Day Choice Models: An Empirical Assessment. Transportation Research Record: Journal of the Transportation Research Board, No. 2429, 99-109. [Download]
- Yasmin. S., N. Eluru, A. R. Pinjari, and R. Tay (2014). Examining Driver Injury Severity in Two Vehicle Crashes - A Copula Based Approach. Accident Analysis and Prevention, Vol. 66, 120-135. [Download]
- Faghih-Imani A., G. Ghafghazi, N. Eluru, and A. R. Pinjari (2013) A Multiple-Discrete Approach for Examining Vehicle Type Use for Daily Activity Participation Decisions. Transportation Letters: The International Journal of Transportation Research, 6(1), 1-13. [Download]
- Pinjari, A.R., K.M.N. Habib, and E.J. Miller (2013) Selected Articles from the 13th Conference of the International Association of Travel Behavior Research (IATBR). Guest Editorial for the 2012 IATBR Special Issue of Transportation Research Part B, Vol 58, 151-153.
- Sikder, S., A.R. Pinjari, S. Srinivasan, and R. Nowrouzian (2013). Spatial Transferability of Travel Forecasting Models: A Review and Synthesis. International Journal of Advances in Engineering and Applied Mathematics, Journal of the Indian Institute of Technology - Madras (IIT-M), Special Issue on Advanced Traffic and Transportation Systems, 5(2-3), 104-128. [Download]
- Sikder, S., and A.R. Pinjari (2013). Spatial Transferability of Person-level Daily Activity Generation and Time-Use Models: An Empirical Assessment. Transportation Research Record: Journal of the Transportation Research Board, Vol. 2343, 95-104. [Download]
- Van Nostrand, C., V. Sivaraman, and A. R. Pinjari (2013). Analysis of Annual, Long-Distance, Vacation Travel Demand in the United States: A Multiple Discrete-Continuous Choice Framework. Transportation, 40(1), 151-171. [Download]
- Sivakumar A., and A.R. Pinjari (2012) Recent Advances in Activity and Travel Pattern Modeling. Guest Editorial for the 2012 TRB Special Issue. Transportation, 39(4), 749-754. [Link to the special issue]
- Sikder, S., and A.R. Pinjari (2012) Immobility Levels and Mobility Preferences among Elderly in the United States: Evidence from the 2009 national Household Travel Survey. Transportation Research Record, Journal of the Transportation Research Board, Vol. 2318, 137-147. [Download]
- Pinjari, A.R. (2011) Generalized Extreme Value (GEV)-Based Error Structures for Multiple Discrete-Continuous Choice Models. Transportation Research Part B, 45(3), 474-489. [Download]
- Garren, S.J., A.R. Pinjari, and R. Brinkman (2011) Carbon dioxide Emission Trends in Cars and light Trucks: A Comparative Analysis of Emissions and Methodologies for Florida’s Counties (2000 and 2008). Energy Policy, 39(9) 5287-5295. [Link]
- Pinjari, A.R., and R.M. Pendyala (2011) Multidimensional Advances in Travel Modeling. Guest Editorial for the IATBR 2009 Special Issue. Transportation, 38(6) 845-858. [Link to the special issue]
- Pinjari, A.R., R.M. Pendyala, C.R. Bhat, and P.A. Waddell (2011) Modeling the Choice Continuum: An Integrated Model of Residential Location, Auto Ownership, Bicycle Ownership, and Commute Tour Mode Choice Decisions. Transportation, 38(6) 933-958. [Download]
- Rana, T., Sikder, S., and A.R. Pinjari (2010). Copula-Based Method to Address Endogeneity in Traffic Crash Injury Severity Models: Application to Two-Vehicle Crashes. Transportation Research Record: Journal of the Transportation Research Board, Vol. 2147, 75-87. [Download]
- Pinjari A.R. and C.R. Bhat (2010). A Multiple Discrete-Continuous Nested Extreme Value (MDCNEV) Model: Formulation and Application to Non-worker Activity Time-use and Timing Behavior on Weekdays. Transportation Research Part B, Vol. 44(4), 562-583. [Download paper] [MDCNEV model estimation code and test data set]
- Eluru, N., Pinjari A.R., Pendyala, R.M., and C.R. Bhat (2010). An Econometric Multi-Dimensional Choice Model of Activity-Travel Behavior. Transportation Letters, Vol 2(4), 217-230. [Download]
- Ferdous, N., A.R. Pinjari, C.R. Bhat, and R.M. Pendyala (2010). A Comprehensive Analysis of Household Transportation Expenditures Relative to Other Goods and Services: An Application to United States Consumer Expenditure Data. Transportation, Vol. 37(3), 363-390. [Download]
- Pinjari, A.R., C.R. Bhat, and D.A. Hensher (2009). Residential Self-Selection Effects in an Activity-Time Use Behavior Model. Transportation Research Part B, 43(7), 729-748. [Download]
- Spissu, E., A.R. Pinjari, C.R. Bhat, R.M. Pendyala, and K.W. Axhausen (2009). An Analysis of Weekly Out-of-home Discretionary Activity Participation and Time-Use Behavior. Transportation, 36(5), 483-510. [Download]
- Spissu, E., A.R. Pinjari, R.M. Pendyala, and C.R. Bhat (2009). A Copula-Based Joint Multinomial Discrete-Continuous Model of Vehicle Type Choice and Miles of Travel. 36(4), 403-422. [Download]
- Rajagopalan, B.S., A.R. Pinjari, and C.R. Bhat (2009). A Comprehensive Model of Workers’ Non-Work Activity Time-Use and Timing Behavior. Transportation Research Record, Journal of the Transportation Research Board, National Academy of Sciences. Vol. 2134, 51-62. [Download]
- Pinjari, A.R., N. Eluru, C.R. Bhat, R.M. Pendyala, and E. Spissu (2008). A Joint Model of Residential Location and Bicycle Ownership: Accounting for Self-Selection and Unobserved Heterogeneity. Transportation Research Record, Journal of the Transportation Research Board, National Academy of Sciences. Vol. 2082, 17-26. [Download]
- Eluru, N., A.R. Pinjari, J.Y. Guo, I.N. Sener, S. Srinivasan, R. 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, National Academy of Sciences. Vol. 2076, 171-182. [Download]
- Pinjari, A.R., R.M. Pendyala, C.R. Bhat, and P.A. Waddell (2007). Modeling Residential Sorting Effects to Understand the Impact of the Built Environment on Commute Mode Choice. Transportation, Vol 34(5), 557-573. [Download]
- Pinjari, A.R., and C.R. Bhat (2006). Nonlinearity of Response to Level of Service Variables in Travel Mode Choice Models. Transportation Research Record, Journal of the Transportation Research Board, National Academy of Sciences. Vol. 1977, 67-74. [Download]
Book Chapters
- Pinjari, A.R., Bhat, C.R., Saxena, S., and Mondal, A. (2023) "Multiple Discrete-Continuous Choice Models: A Reflective Analysis and a Prospective View of the State-of-the-Field." Handbook of Choice Modelling 2nd Edition. Edited by Stephane Hess and Andrew Daly, Edward Elgar Publishing Ltd.
- Banerjee, I., Deepa, L., and Pinjari A.R. (2021) "Public Transit Ridership Forecasting Models." In: Vickerman, Roger (eds.)
International Encyclopedia of Transportation. vol. 4, pp. 459-467. UK: Elsevier Ltd. - Tahlyan, D., Balusu, S.K., Sheela, P.V., Maness, M., and Pinjari A.R. (2019) "An empirical assessment of the impact of incorporating attitudinal variables on model transferability." Mapping the Travel Behaviour Genome. Chapter 9. pp. 145-165, edited by Konstadinos G. Goulias and Adam W. Davis. Elsevier.
- Gurram, S., A.R. Pinjari, and A.L. Stuart (2015) "High Resolution Simulation of Urban Travel and Network Performance for Estimating Mobile Source Emissions: Application to Tampa, Florida." The Multi-Agent Transport Simulation (MATSim). Chapter 74, pp. 525-530, edited by Andreas Horni, Kai Nagel, and Kay Axhausen.
- Pendyala R.M. and A.R. Pinjari (2014) "Workshop Report: Developing Curricula for Advanced Travel Modeling." Travel Behavior Research: Current Foundations and Prospects. Chapter 3, pp. 129-150, edited by Matthew Roorda and Eric Miler. Lulu Publishers, USA.
- Pinjari, A.R., Bhat C.R., and D.S. Bunch (2013) "Recent Advances on Multiple Discrete-Continuous Choice Models." Choice modelling: the state of the art and the state of practice: Selected papers from the Second International Choice Modelling Conference. Chapter 3, pp. 73-90, edited by Stephane Hess and Andrew Daly.
- Bhat, C.R., and A.R. Pinjari (2013) "Multiple Discrete-Continuous Choice Models: A Reflective Analysis and a Prospective View of the State-of-the-Field." Handbook of Choice Modelling. Edited by Stephane Hess and Andrew Daly, Edward Elgar Publishing Ltd.
- Pinjari, A.R. and C.R. Bhat (2010) "Activity-Based Travel Demand Analysis." Handbook of Transport Economics, Chapter 10, pp. 213-248, edited by A. de Palma, R. Lindsey, E. Quinet, and R. Vickerman, Edward Elgar Publishing. [Download]
- Bhat C.R. and A.R. Pinjari (2008) "Duration Modeling." Handbook of Transport Modelling 2nd Edition, Chapter 6, pp. 105-132, edited by D.A. Hensher and K.J. Button. Elsevier Science Ltd. [Download]
Dissertation and Thesis Documents
Working Papers
- Gurram, S., Sivaraman, V., Apple, J., and Pinjari, A.R. (2019). Agent-based modeling to simulate road travel using GPS Smartphone data: An application to the continental United States.
- Pinjari, A.R., B. Augustin, N. Menon (2013). Highway Capacity Impacts of Autonomous Vehicles: An Assessment. Technical paper, Center for Urban Transportation Research (CUTR). University of South Florida. [Download]
- Pinjari, A.R., and V. Sivaraman. A Discrete-Continuous Choice Model with Perfect and Imperfect Substitutes. [Download]
- Sivaraman, V., A.R. Pinjari, and S.E. Polzin. Long-Distance Travel for Visiting Friends and Relatives (VFR) and Leisure Purposes: Empirical Analysis and Modeling Framework. [Download]
- Ozkul, S., N. Menon, A.R. Pinjari, D. Davis, and K. Seggerman (2018). Determination of Success and Deterrence Factors for Logistics Activity Centers.