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Publication

Journal Publication

(* indicates student supervised by Jin)

ICT & Mobility

ICT & Mobility

  • Asgari*, H., Rojas*, M., & Jin, X. (2019). Time Geography of Daily Activities: A Closer Look into Telecommute Impacts. Travel Behaviour and Society, Volume 16, July 2019, Pages 99-107. https://doi.org/10.1016/j.tbs.2019.04.009

  • Asgari*, H. & Jin, X. (2017). An Evaluation of Part-Day Telecommute Impacts on Work Trip Departure Times. Travel Behavior and Society (in press). https://doi.org/10.1016/j.tbs.2017.04.002

  • Asgari*, H. & Jin, X. (2017). The Impacts of Telecommuting on Non-Mandatory Activity Participation: the Role of Endogeneity. Transportation Research Record: Journal of the Transportation Research Board, No. 2666. http://dx.doi.org/10.3141/2666-06

  • Asgari*, H., Jin, X. & Du, Y. (2016). Examining Impacts of Telecommuting on Time Use of Non-mandatory Activities. Transportation Research Record: Journal of the Transportation Research Board, No. 2566, pp. 83-92. http://dx.doi.org/10.3141/2566-09

  • Asgari*, H. & Jin, X. (2015). Towards a Comprehensive Telecommuting Analysis Framework: Setting the Conceptual Outline. Transportation Research Record: Journal of the Transportation Research Board, (2496), 1-9. http://dx.doi.org/10.3141/2496-01

  • Asgari*, H. & Jin, X. (2014). Choice, Frequency, and Engagement – A Framework for Telecommuting Behavior Analysis and Modeling. Transportation Research Record: Journal of the Transportation Research Board, (2413), 101-109. http://dx.doi.org/10.3141/2413-11

  • Jin, X., & Wu, J. (2011). Propensity to telecommute: Exploring the national household travel survey. Transportation Research Record: Journal of the Transportation Research Board, (2231), 110-119. http://dx.doi.org/10.3141/2231-14

Demand Management

Demand Management Strategies

  • Jin, X., Hossan*, Md. S., Asgari*, H., & Shams*, K. (2018). Incorporating Attitudinal Aspects in Roadway Pricing Analysis. Transport Policy (in press). http://dx.doi.org/10.1016/j.tranpol.2017.03.020.

  • Hossan*, Md. S., Asgari*, H., & Jin, X. (2016) Investigating preference heterogeneity in Value of Time (VOT) and Value of Reliability (VOR) estimation for managed lanes. Transportation Research Part A: Policy and Practice, Volume 94, pp. 638-649. http://dx.doi.org/10.1016/j.tra.2016.10.022 

Technology

Emerging Technologies & Trend

  • Asgari*, H., Gupta, R., Jin, X. Millennials and Automated Mobility: Exploring the Role of Generation and Attitudes on AV Adoption and Willingness-to-Pay. Transportation Research Part A: Policy and Practice. (under review).

  • Azimi*, G., Rahimi*, A., Lee, M. & Jin, X. Mode Choice Behavior for First and Last Mile Connection to Transit Services. International Journal of Transportation Science and Technology. (under review)

  • Asgari*, H., Azimi*, G., Rahimi*, A., & Jin, X. Can Emerging Mobility Options Replace Private Vehicle Ownership? Case Study of Mode-dependency and Lifestyle Impacts on Ride-hailing Decisions. Travel Behaviour and Society (under review).
    Rahimi*, A., Azimi*, G., Asgari*, H., & Jin, X. Adoption and willingness to pay for autonomous vehicles: Study of attitudes and latent classes. Transportation Research Part D (revision submitted).

  • Asgari*, H., & Jin, X. Propensity Toward Ride-Sourcing: Expected Travel Time and Cost Savings to Switch from Private Mobility. Transportation Research Part C (revision submitted).

  • Rahimi*, A., Azimi*, G., & Jin, X. Examining Human Attitudes toward Emerging Vehicle Technologies and Mobility Options. Transportation Research Part F, Volume 72, page 133-154, July 2020. https://doi.org/10.1016/j.trf.2020.05.001.

  • Azimi*, G., Rahimi*, A., Asgari*, H., & Jin, X. (2020). Transit and Non-Transit Users’ Mode Choice of Ridesourcing: The Role of Attitudes. Transportation Research Record (in press).

  • Asgari*, H., & Jin, X. (2019). Incorporating Habitual Behavior into Mode Choice Modeling in Light of Emerging Mobility Services. Sustainable Cities and Society, Volume 52, January 2020, 101735. https://doi.org/10.1016/j.scs.2019.101735.

  • Asgari*, H. & Jin, X. (2019). Incorporating Attitudinal Factors to Examine Adoption of and Willingness to Pay for Autonomous Vehicles. Transportation Research Record, Vol 2673, Issue 8, pp 418-429. https://doi.org/10.1177/0361198119839987.

  • Asgari*, H., Jin, X., & Corkery, T. A Stated Preference Survey Approach to Understanding Mobility Choices in Light of Shared Mobility Services and Automated Vehicle Technologies in the US. Transportation Research Record, Volume: 2672 issue: 47, page(s): 12-22. https://doi.org/10.1177/0361198118790124

  • Lavasani*, M., Jin, X. & Du, Y.  (2016). Market Penetration Model for Autonomous Vehicles Based on Previous Technology Adoption Experiences. Transportation Research Record, Journal of the Transportation Research Board, No.2597, pp. 67-74. http://dx.doi.org/10.3141/2597-09

  • Rojas*, M., Sadeghvaziri*, E., & Jin, X. (2016). Comprehensive Review of Travel Behavior and Mobility Pattern Studies Using Mobile Phone Data.  Transportation Research Record, Journal of the Transportation Research Board, No. 2563, pp.71-79. http://dx.doi.org/10.3141/2563-11

  • Sadeghvaziri*, E., Rojas*, M., & Jin, X. (2016). Exploring the Potential of Mobile Phone Data in Travel Pattern Analysis. Transportation Research Record, Journal of the Transportation Research Board, No. 2594, pp.27-34. http://dx.doi.org/10.3141/2594-04

Freight

Freight

  • Asgari*, H., Rahimi*, A., Azimi*, G., & Jin, X. Application of Machine Learning Methods in Crash Severity Prediction for Large Truck-Involved Work Zone Crashes. (under review).

  • Azimi*, G., Rahimi*, A., & Jin, X. Injury Severity Analysis for Large Truck–Involved Crashes: Accounting for Heterogeneity. Journal of Safety Research (under review).

  • Azimi*, G., Rahimi*, A., Asgari*, H., & Jin, X. (2020). Severity Analysis for Large Truck Rollover Crashes using a Random Parameter Ordered Logit Model. Accident Analysis and Prevention, Volume 135, February 2020, 105355. https://doi.org/10.1016/j.aap.2019.105355.

  • Rahimi*, A., Azimi*, G., Asgari*, H., & Jin, X. (2019). Clustering Approach toward Large Truck Crash Analysis. Transportation Research Record, Vol 2673, Issue 8, August 2019. https://doi.org/10.1177/0361198119839347.

  • Shams*, K., Jin, X. Asgari*, H. Hossan*, Md. S., & Fitzgerald, R. (2017). Value of Reliability for Road Freight Transportation: Evidence from a Stated Preference Survey in Florida. Transportation Research Record: Journal of the Transportation Research Board, No. 2610. http://dx.doi.org/10.3141/2610-05.

  • Shams*, K., Asgari*, H., & Jin, X. (2016) Valuation of Travel Time Reliability in Freight Transportation: A Review and Meta-Analysis of Stated Preference Studies. Transportation Research Part A: Policy and Practice, Volume 102, pp. 228-243.  http://dx.doi.org/10.1016/j.tra.2016.08.001

Surveys

Travel Surveys

  • Hossan*, Md. S., Asgari*, H. & Jin, X. (2017). Trip Misreporting Forecast Using Count Data Model in a GPS Enhanced Travel Survey. Transportation, https://doi.org/10.1007/s11116-017-9782-2

  • Jin, X., H. Asgari*, and S. Hossan* (2014). Understanding Trip Misreporting Behavior Using Global Positioning System-Assisted Household Travel Survey. In Mobile Technologies for Activity‐Travel Data Collection and Analysis, Chapter 6, pp.91-103, IGI Global, 2014.  https://dx.doi.org/10.4018/978-1-4666-6170-7.ch006

Model Development

Model Development

  • Shams*, K., Asgari*, H. Hossan*, Md. S., & Jin, X. (2018). An Investigation of Tour Generation Models Combining Two Waves of Household Travel Surveys through Pooled Models. forthcoming in Transportation Planning and Technology.

  • Jin, X., and A.J. Horowitz (2009). Transferability of Time-of-Day Choice Modeling for Long-Distance Trips. In Transportation Statistics, Chapter 12, ed. Brian W. Sloboda J. Ross Publishing, Inc. ISBN 9781604270082

  • Jin, X., & Horowitz, A. (2008). Time-of-day choice modeling for long-distance trips. Transportation Research Record: Journal of the Transportation Research Board, (2076), 200-208. http://dx.doi.org/10.3141/2076-22

  • Yang, F., Jin, X., & Liu, R. (2008). Tour based Time of Day Choices for Weekend Non-Work Activities. Transportation Research Record: Journal of the Transportation Research Board, (2054), 37-45. http://dx.doi.org/10.3141/2054-05

  • Chiao, KA., Jin, X., & Yang, F. (2008). Travel Demand Forecasting in China and the US. Urban Transport of China, 2008 Issue 2, 77-82. ISSN 1672-5328(2008)02-0077-06

  • Zou, X., Chiao, KA., Jin, X., & Yang, F. (2008). Trends and Prospects of Travel Demand Modeling Practices in China and the US. Urban Transport of China, 2008 Issue 2, 83-86. ISSN 1672-5328(2008)02-0083-04

  •  Chiao, KA., Yang, Y., Yang, F., Jin, X., & Zou, X. (2008). Legislation Background of Urban Travel Demand Forecasting in the U.S. Urban Transport of China, 2008 Issue 2, 73-76. ISSN 1672-5328(2008)02-0073-04

  • Beimborn, E., Greenwald, M., & Jin, X. (2003). Accessibility, connectivity, and captivity: impacts on transit choice. Transportation Research Record: Journal of the Transportation Research Board, (1835), 1-9. http://dx.doi.org/10.3141/1835-01 

System

System Analysis

  • Inanloo, B., Tansel, B., Shams*, K., Jin, X., & Gan, A. (2016). A decision aid GIS-based risk assessment and vulnerability analysis approach for transportation and pipeline networks. Safety Science Volume 84, April 2016, pp. 57-66. http://dx.doi.org/10.1016/j.ssci.2015.11.018

  • Inanloo, B., Tansel, B., Jin, X., & Bernardo-Bricker, A. (2015). Cargo-Specific Accidental Release Impact Zones for Hazardous Materials: Risk and Consequence Comparison for Ammonia and Hydrogen Fluoride. Environment Systems and Decisions 35(4): 1-14. http://dx.doi.org/10.1007/s10669-015-9576-z   

Operations

Planning & Operations

  • Jin, X., Hossan*, Md. S., Gan, A., & Chen, D. (2014). A Comprehensive Framework for Traffic Incident Management Program Planning and Assessment. Transportation Research Record: Journal of the Transportation Research Board, (2470), 1-12. http://dx.doi.org/10.3141/2470-01

  • Wu, J., Jin, X., Horowitz, A., & Gong, D. (2009). Experiment to improve estimation of vehicle queue length at metered on-ramps. Transportation Research Record: Journal of the Transportation Research Board, (2099), 30-38. http://dx.doi.org/10.3141/2099-04

  • Wu, J., Jin, X., & Horowitz, A. (2008). Methodologies for estimating vehicle queue length at metered on-ramps. Transportation Research Record: Journal of the Transportation Research Board, (2047), 75-82. http://dx.doi.org/10.3141/2047-09

Proceedings

Peer-Reviewed Conference Proceedings

  • Asgari*, H. and X. Jin (2019). Propensity Toward Ride-Hailing: Expected Travel Time and Cost Savings to Switch from Private Mobility. Proceedings of the 98th annual meeting of the Transportation Research Board, National Research Council, Washington, D.C., 2019.

  • Azimi*, G., Asgari*, H., Rahimi*, A., and X. Jin (2019). Investigation of Heterogeneity in Severity Analysis for Large Truck Crashes. Proceedings of the 98th annual meeting of the Transportation Research Board, National Research Council, Washington, D.C., 2019.

  • Asgari*, H. and X. Jin (2019). Incorporating Attitudinal Factors to Examining Adoption of and Willingness to Pay for Autonomous Vehicles. Proceedings of the 98th annual meeting of the Transportation Research Board, National Research Council, Washington, D.C., 2019.

  • Asgari*, H. and X. Jin (2019). The Role of Habitual Behavior in Mode Choice of Emerging Mobility Services. Proceedings of the 98th annual meeting of the Transportation Research Board, National Research Council, Washington, D.C., 2019.

  • Rahimi*, A., Azimi*, G., Asgari*, H., and X. Jin (2019). A Clustering Approach Toward Large Truck Crash Analysis. Proceedings of the 98th annual meeting of the Transportation Research Board, National Research Council, Washington, D.C., 2019.

  • Asgari*, H., X. Jin, and T. Corkery (2018). A Stated Preference Survey Approach to Understand Mobility Choices in Light of Shared Mobility Services and Automated Vehicles Technologies in the US. Proceedings of the 97th annual meeting of the Transportation Research Board, National Research Council, Washington, D.C., 2018.

  • Asgari*, H., X. Jin, and M. Rojas (2018). The Impacts of Telecommuting on the Time-Space Distribution of Daily Activities. Proceedings of the 97th annual meeting of the Transportation Research Board, National Research Council, Washington, D.C., 2018.

  • Selby, B., A. Komanduri, E. Brown, S. Hsieh, X. Jin, and Z. Gu (2018). An Enhanced Framework for the Expansion of Establishment Surveys: Case Studies from New York and Phoenix. Proceedings of the 97th annual meeting of the Transportation Research Board, National Research Council, Washington, D.C., 2018.

  • Lavasani*, M., H. Asgari *, X. Jin, and A. Pinjari (2017). Investigating Willingness to Pay for Autonomous Vehicles and Likelihood of Residential Relocation. Proceedings of the 96th  annual meeting of the Transportation Research Board, National Research Council, Washington, D.C., 2017.

  • Wu, J., X. Qin, A. Horowitz, and X. Jin (2017). Relationships among Flow, Speed, Density, and Occupancy along Signalized Arterials. Proceedings of the 96th  annual meeting of the Transportation Research Board, National Research Council, Washington, D.C., 2017.

  • Asgari*, H. and X. Jin (2017). The Impacts of Telecommuting on Non-Mandatory Activity Participation: the Role of Endogeneity. Proceedings of the 96th  annual meeting of the Transportation Research Board, National Research Council, Washington, D.C., 2017.

  • Shams*, K., and X. Jin (2017). Value of Reliability for Road Freight Transportation: Evidence from a Stated Preference Survey in Florida.  Proceedings of the 96th  annual meeting of the Transportation Research Board, National Research Council, Washington, D.C., 2017.

  • Lavasani*, M., Md. S. Hossan*, H. Asgari*, and X. Jin (2016). Examining methodological issues on combined RP and SP data. Transportation Research Procedia, Proceedings of the 14th World Conference on Transport Research, Shanghai, China, July 10-15, 2016.

  • Zaman*, N., H. Asgari*, and X. Jin (2016). Understanding Immigrants’ Mode Choice Behavior: Analysis of Neighborhood Effects and Cultural Assimilation. Transportation Research Procedia, Proceedings of the 14th World Conference on Transport Research, Shanghai, China, July 10-15, 2016.

  • Shams*, K., X. Jin, R. Fitzgerald (2016). Stated Preference Survey Design to Understand How Freight Users Value Travel Time Reliability. Transportation Research Procedia, Proceedings of the 14th World Conference on Transport Research, Shanghai, China, July 10-15, 2016.

  • Asgari*, H. and X. Jin (2016). Investigation of Commute Departure Time to Understand the Impacts of Part-Day Telecommuting on the Temporal Displacement of Commute Travel. Proceedings of the 95th  annual meeting of the Transportation Research Board, National Research Council, Washington, D.C., 2016.

  • Lavasani*, M., Md. S. Hossan*, and X. Jin (2016). Investigating Modeling Approaches in Addressing Pooled Estimation based on RP and SP Data. Proceedings of the 95th  annual meeting of the Transportation Research Board, National Research Council, Washington, D.C., 2016.

  • Shams*, K., X. Jin and R. Fitzgerald (2016). A Comprehensive Review and Meta-Analysis of Stated Preference Studies for Valuation of Travel Time Reliability in Freight Transport. Proceedings of the 95th  annual meeting of the Transportation Research Board, National Research Council, Washington, D.C., 2016.

  • Asgari*, H., F. Hu*, and X. Jin (2016). The Impacts of Shoulder Days on Non-mandatory Activity Duration: A Time-Use Analysis Based on NHTS 2009 Survey. Proceedings of the 95th  annual meeting of the Transportation Research Board, National Research Council, Washington, D.C., 2016.

  • Asgari*, H. and X. Jin (2016). Examining Impacts of Telecommuting on Time Use of Non-mandatory Activities. Proceedings of the 95th  annual meeting of the Transportation Research Board, National Research Council, Washington, D.C., 2016.

  • Lavasani*, M. and X. Jin (2016). Market Penetration Model for Autonomous Vehicles Based on Previous Technology Adoption Experiences. Proceedings of the 95th  annual meeting of the Transportation Research Board, National Research Council, Washington, D.C., 2016.

  • Rojas*, M., E. Sadeghvaziri*, and X. Jin (2016). Comprehensive Review of Travel Behavior and Mobility Pattern Studies Using Mobile Phone Data.  Proceedings of the 95th  annual meeting of the Transportation Research Board, National Research Council, Washington, D.C., 2016.

  • Sadeghvaziri*, E., M. Rojas*, and X. Jin (2016). Exploring the Potential of Mobile Phone Data in Travel Pattern Analysis. Proceedings of the 95th  annual meeting of the Transportation Research Board, National Research Council, Washington, D.C., 2016.

  • Asgari*, H. and X. Jin (2015). Analysis of Telecommuting Behavior: Substitution or supplementary? Combining Lifestyle Choice with Daily Engagement (2015). Proceedings of the 94th  annual meeting of the Transportation Research Board, National Research Council, Washington, D.C., 2015.

  • Asgari*, H. and X. Jin (2015). Towards a Comprehensive Telecommuting Analysis Framework: Setting the Conceptual Outline. Proceedings of the 94th  annual meeting of the Transportation Research Board, National Research Council, Washington, D.C., 2015.

  • Shams*, K., X. Jin, and H. Asgari*, & Md. S. Hossan* (2015). An Investigation of Temporal Transferability Comparing Trip-based and Tour-Based Choice Models. Proceedings of the 94th  annual meeting of the Transportation Research Board, National Research Council, Washington, D.C., 2015.

  • Zhang*, Z., X. Jin, J. Wu, Md. S. Hossan*, A. Gan, and D. Chen (2015). An Overview of TMC Practices– Results from a Nationwide Survey. Proceedings of the 94th  annual meeting of the Transportation Research Board, National Research Council, Washington, D.C., 2015.

  • Jin, X., Z. Zhang*, J. Wu, Md. S. Hossan*, A. Gan, and D. Chen (2015). Potential for Applying Advanced Technologies at TMCs – Results from a Nationwide Survey. Proceedings of the 94th  annual meeting of the Transportation Research Board, National Research Council, Washington, D.C., 2015.

  • Hossan*, Md. S., X. Jin, A. Gan, and D. Chen (2015). A Comprehensive Framework of Performance Measurement for Traffic Incident Management Programs. Proceedings of the 94th  annual meeting of the Transportation Research Board, National Research Council, Washington, D.C., 2015.

  • Inanloo, B., B. Tansel, and X. Jin (2015). A Framework for Hazardous Tanker Truck Routing: Consideration of Health Risk, Transportation, and Congestion Costs. Proceedings of the 94th  annual meeting of the Transportation Research Board, National Research Council, Washington, D.C., 2015.

  • Jin, X., Asgari*, H., and Md. S. Hossan* (2014). Understanding Trip Misreporting in Household Travel Surveys by Comparing GPS- Assisted and Diary-Based Samples. Safe, Smart, and Sustainable Multimodal Transportation Systems. Proceedings of the 14th COTA International Conference of Transportation Professionals (CICTP 2014), pp. 3401-3412.

  • Tansel, B., X. Jin, B. Inanloo, and K. Shams* (2014). Failure Risks of Pipeline Networks and Impacts on Transportation Services. Proceedings of the 2014 World Environmental and Water Resources Congress, Portland, Oregon, May 2014.

  • Asgari*, H. and X. Jin (2014). On the Impacts of Telecommuting over Daily Activity/Travel Behavior; A Comprehensive Investigation through Different Telecommuting Patterns. The 5th Innovations in Travel Demand Forecasting Conference, Baltimore, Maryland, April 2014.

  • Asgari*, H. and X. Jin (2014). Choice, Frequency, and Engagement – A Framework for Telecommuting Behavior Analysis and Modeling. Proceedings of the 93rd annual meeting of the Transportation Research Board, National Research Council, Washington, D.C., 2014.

  • Jin, X., Md. S. Hossan*, A. Gan, and D. Chen (2014). A Comprehensive Framework for Traffic Incident Management Program Planning and Assessment. Proceedings of the 93rd annual meeting of the Transportation Research Board, National Research Council, Washington, D.C., 2014.

  • Shames*, K. and X. Jin (2014). Examining Temporal Transferability of Trip Frequency Choice Models. Proceedings of the 93rd annual meeting of the Transportation Research Board, National Research Council, Washington, D.C., 2014.

  • Inanloo, B., B. Tansel, and X. Jin (2014). Cargo Specific Air Dispersion and Impact Zone Analysis after Accidental Release of Hazardous Materials. Proceedings of the 93rd annual meeting of the Transportation Research Board, National Research Council, Washington, D.C., 2014.

  • Tansel, B., Shams, K., Jin, X., & Gan, A. (2014). Interactive Vulnerability of Transportation and Pipeline Networks: GIS-Based Quantitative Risk Assessment. In Transportation Research Board 93rd Annual Meeting (No. 14-1430).

  • Jin, X., J. Wu, H. Asgari*, and J. Argote (2013). Examining Trip Misreporting Behavior Using GPS-Assisted Household Travel Surveys. Proceedings of the 92nd annual meeting of the Transportation Research Board, National Research Council, Washington, D.C., 2013.

  • Jin, X., and J. Wu (2011). Propensity to Telecommute – Exploring the National Household Travel Survey. Proceedings of the 90th annual meeting of the Transportation Research Board, National Research Council, Washington, D.C., 2011.

  • Wu, J., Jin, X., & Horowitz, A. J. (2011). Comparison of Queue Estimation Models at Traffic Signals. In 18th ITS World Congress.

  • Jin, X., KA. Chiao, and A. Mohseni (2010). Effects of Land Use and Origin‐Destination Pattern on Mode Choice Modeling. Proceedings of the 89th Annual Meeting of the Transportation Research Board, National Research Council, Washington, D.C., 2010.

  • Jin, X., and KA. Chiao (2010). New York Transportation Information Gateway – Integrating Planning Data, Models and Visualization Tools. Proceedings of the 89th Annual Meeting of the Transportation Research Board, National Research Council, Washington, D.C., 2010.

  • Jin, X., and A.J. Horowitz (2009). Transferability of Time-of-Day Choice Modeling for Long-Distance Trips. Proceedings of the 88th Annual Meeting of the Transportation Research Board, National Research Council, Washington, D.C., 2009.

  • Wu, J., X. Jin, and A.J. Horowitz (2009). Experiment to Improve Estimation of Vehicle Queue Length at Metered On-Ramps.  Proceedings of the 88th Annual Meeting of the Transportation Research Board, National Research Council, Washington, D.C., 2009.

  • Jin, X., and A.J. Horowitz (2008). Time-of-Day Choice Modeling for Long-Distance Trips. Proceedings of the 87th Annual Meeting of the Transportation Research Board, National Research Council, Washington, D.C., 2008.

  • Jin, X., & Chiao, K. A. (2008). Synthesis of Time-of-Day Modeling Research. In Transportation Research Board 87th Annual Meeting (No. 08-2765).

  • Yang, F., X. Jin, and R. Liu (2008). Tour based Time of Day Choices for Weekend NonWork Activities. Proceedings of the 87th Annual Meeting of the Transportation Research Board, National Research Council, Washington, D.C., 2008.

  • Wu, J., X. Jin, and A.J. Horowitz (2008). Methodologies for Estimating Metered On-Ramp Vehicle Queue Length. Proceedings of the 87th Annual Meeting of the Transportation Research Board, National Research Council, Washington, D.C., 2008.

  • Wang, W., S. Yang, and X. Jin (2008). Optimization Model for Locating Service Stations along the Freeway. American Society of Civil Engineers Transportation and Development Innovative Best Practices, pp. 136-141, 2008.

  • Horowitz, A.J., X. Jin, and Y. Zhu (2008). Transferability of the Business Attraction Module in the Highway Economic Analysis Tool.  2008 Mid-Continent Transportation Research Forum, Madison, Wisconsin, August 2008.

  • Wu, J., and X. Jin (2008). Reforming Ramp Meter Queue Override.  Proceedings of the 15th World Congress on Intelligent Transportation Systems, New York, New York, 2008.

  • Beimborn, E. A., Greenwald, M. J., & Jin, X. (2003). Transit accessibility and connectivity impacts on transit choice and captivity. In Transportation Research Board 82nd Annual Meeting, Washington, DC.

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