| Year |
Citation |
Score |
| 2020 |
Wellik T, Kockelman K. Anticipating land-use impacts of self-driving vehicles in the Austin, Texas, region Journal of Transport and Land Use. 13: 185-205. DOI: 10.5198/Jtlu.2020.1717 |
0.501 |
|
| 2020 |
Quarles N, Kockelman KM, Mohamed M. Costs and Benefits of Electrifying and Automating Bus Transit Fleets Sustainability. 12: 3977. DOI: 10.3390/Su12103977 |
0.37 |
|
| 2020 |
Gurumurthy KM, Kockelman KM, Zuniga-Garcia N. First-Mile-Last-Mile Collector-Distributor System using Shared Autonomous Mobility Transportation Research Record. 36119812093626. DOI: 10.1177/0361198120936267 |
0.383 |
|
| 2020 |
Huang Y, Kockelman KM. Electric vehicle charging station locations: Elastic demand, station congestion, and network equilibrium Transportation Research Part D: Transport and Environment. 78: 102179. DOI: 10.1016/J.Trd.2019.11.008 |
0.354 |
|
| 2020 |
Becker H, Becker F, Abe R, Bekhor S, Belgiawan PF, Compostella J, Frazzoli E, Fulton LM, Bicudo DG, Gurumurthy KM, Hensher DA, Joubert JW, Kockelman KM, Kröger L, Vine SL, et al. Impact of vehicle automation and electric propulsion on production costs for mobility services worldwide Transportation Research Part a-Policy and Practice. 138: 105-126. DOI: 10.1016/J.Tra.2020.04.021 |
0.425 |
|
| 2020 |
Beheshtian A, Richard Geddes R, Rouhani OM, Kockelman KM, Ockenfels A, Cramton P, Do W. Bringing the efficiency of electricity market mechanisms to multimodal mobility across congested transportation systems Transportation Research Part a: Policy and Practice. 131: 58-69. DOI: 10.1016/J.Tra.2019.09.021 |
0.42 |
|
| 2020 |
Gurumurthy KM, Kockelman KM. Modeling Americans’ autonomous vehicle preferences: A focus on dynamic ride-sharing, privacy & long-distance mode choices Technological Forecasting and Social Change. 150: 119792. DOI: 10.1016/J.Techfore.2019.119792 |
0.466 |
|
| 2020 |
Clements LM, Kockelman KM, Alexander W. Technologies for congestion pricing Research in Transportation Economics. 100863. DOI: 10.1016/J.Retrec.2020.100863 |
0.446 |
|
| 2020 |
de Souza F, Gurumurthy KM, Auld J, Kockelman KM. A Repositioning Method for Shared Autonomous Vehicles Operation Procedia Computer Science. 170: 791-798. DOI: 10.1016/J.Procs.2020.03.154 |
0.408 |
|
| 2020 |
Perrine KA, Kockelman KM, Huang Y. Anticipating long-distance travel shifts due to self-driving vehicles Journal of Transport Geography. 82: 102547. DOI: 10.1016/J.Jtrangeo.2019.102547 |
0.481 |
|
| 2019 |
Wilkins DC, Kockelman KM, Jiang N. Animal-vehicle collisions in Texas: How to protect travelers and animals on roadways. Accident; Analysis and Prevention. 131: 157-170. PMID 31277019 DOI: 10.1016/J.Aap.2019.05.030 |
0.407 |
|
| 2019 |
Gurumurthy KM, Kockelman KM, Simoni MD. Benefits and Costs of Ride-Sharing in Shared Automated Vehicles across Austin, Texas: Opportunities for Congestion Pricing Transportation Research Record: Journal of the Transportation Research Board. 2673: 548-556. DOI: 10.1177/0361198119850785 |
0.465 |
|
| 2019 |
Lee J, Kockelman KM. Development of Traffic-Based Congestion Pricing and Its Application to Automated Vehicles Transportation Research Record: Journal of the Transportation Research Board. 2673: 536-547. DOI: 10.1177/0361198119839981 |
0.441 |
|
| 2019 |
Hernandez M, Kockelman KM, Lentz JO, Lee J. Emissions and noise mitigation through use of electric motorcycles Transportation Safety and Environment. 1: 164-175. DOI: 10.1093/Tse/Tdz013 |
0.362 |
|
| 2019 |
Simoni MD, Kockelman KM, Gurumurthy KM, Bischoff J. Congestion pricing in a world of self-driving vehicles: An analysis of different strategies in alternative future scenarios Transportation Research Part C: Emerging Technologies. 98: 167-185. DOI: 10.1016/J.Trc.2018.11.002 |
0.455 |
|
| 2019 |
Loeb B, Kockelman KM. Fleet performance and cost evaluation of a shared autonomous electric vehicle (SAEV) fleet: A case study for Austin, Texas Transportation Research Part a: Policy and Practice. 121: 374-385. DOI: 10.1016/J.Tra.2019.01.025 |
0.442 |
|
| 2019 |
Nodjomian AT, Kockelman K. How does the built environment affect interest in the ownership and use of self-driving vehicles? Journal of Transport Geography. 78: 115-134. DOI: 10.1016/J.Jtrangeo.2019.05.016 |
0.424 |
|
| 2019 |
He Y, Kockelman KM, Perrine KA. Optimal locations of U.S. fast charging stations for long-distance trip completion by battery electric vehicles Journal of Cleaner Production. 214: 452-461. DOI: 10.1016/J.Jclepro.2018.12.188 |
0.377 |
|
| 2019 |
Ma Q, Kockelman K. A Low-Cost GPS-Data-Enhanced Approach for Traffic Network Evaluations International Journal of Intelligent Transportation Systems Research. 17: 9-17. DOI: 10.1007/S13177-018-0152-Z |
0.406 |
|
| 2019 |
Huang Y, Kockelman KM. What will autonomous trucking do to U.S. trade flows? Application of the random-utility-based multi-regional input–output model Transportation. 1-28. DOI: 10.1007/S11116-019-10027-5 |
0.403 |
|
| 2018 |
Wang G, Kockelman KM. Three Methods for Anticipating and Understanding Uncertainty of Outputs from Transportation and Land Use Models Transportation Research Record: Journal of the Transportation Research Board. 2672: 12-22. DOI: 10.1177/0361198118801339 |
0.409 |
|
| 2018 |
Zhao Y, Kockelman KM. Anticipating the Regional Impacts of Connected and Automated Vehicle Travel in Austin, Texas Journal of Urban Planning and Development. 144: 04018032. DOI: 10.1061/(Asce)Up.1943-5444.0000463 |
0.379 |
|
| 2018 |
Loeb B, Kockelman KM, Liu J. Shared autonomous electric vehicle (SAEV) operations across the Austin, Texas network with charging infrastructure decisions Transportation Research Part C: Emerging Technologies. 89: 222-233. DOI: 10.1016/J.Trc.2018.01.019 |
0.428 |
|
| 2018 |
Bansal P, Kockelman KM, Schievelbein W, Schauer-West S. Indian vehicle ownership and travel behavior: A case study of Bengaluru, Delhi and Kolkata Research in Transportation Economics. 71: 2-8. DOI: 10.1016/J.Retrec.2018.07.025 |
0.467 |
|
| 2018 |
Gurumurthy KM, Kockelman KM. Analyzing the dynamic ride-sharing potential for shared autonomous vehicle fleets using cellphone data from Orlando, Florida Computers, Environment and Urban Systems. 71: 177-185. DOI: 10.1016/J.Compenvurbsys.2018.05.008 |
0.451 |
|
| 2017 |
Bansal P, Kockelman KM. Indian Vehicle Ownership: Insights from Literature Review, Expert Interviews, and State-Level Model Journal of the Transportation Research Forum. 56. DOI: 10.5399/Osu/Jtrf.56.2.4432 |
0.452 |
|
| 2017 |
Clements LM, Kockelman KM. Economic Effects of Automated Vehicles Transportation Research Record: Journal of the Transportation Research Board. 2606: 106-114. DOI: 10.3141/2606-14 |
0.427 |
|
| 2017 |
Bansal P, Kockelman KM. Forecasting Americans’ long-term adoption of connected and autonomous vehicle technologies Transportation Research Part a: Policy and Practice. 95: 49-63. DOI: 10.1016/J.Tra.2016.10.013 |
0.367 |
|
| 2017 |
Levin MW, Kockelman KM, Boyles SD, Li T. A general framework for modeling shared autonomous vehicles with dynamic network-loading and dynamic ride-sharing application Computers, Environment and Urban Systems. 64: 373-383. DOI: 10.1016/J.Compenvurbsys.2017.04.006 |
0.411 |
|
| 2017 |
Liu J, Kockelman KM, Boesch PM, Ciari F. Tracking a system of shared autonomous vehicles across the Austin, Texas network using agent-based simulation Transportation. 44: 1261-1278. DOI: 10.1007/S11116-017-9811-1 |
0.447 |
|
| 2016 |
Wang G, Kockelman KM. Local Sensitivity Analysis of Forecast Uncertainty in a Random-Utility-Based Multiregional Input-Output Model Journal of the Transportation Research Forum. 55. DOI: 10.5399/Osu/Jtrf.55.2.4358 |
0.401 |
|
| 2016 |
Ma S, Kockelman KM. Welfare Measures to Reflect Home Location Options When Transportation Systems Are Modified Journal of the Transportation Research Forum. 55: 67-85. DOI: 10.5399/Osu/Jtrf.55.1.4343 |
0.498 |
|
| 2016 |
Chen TD, Kockelman KM. Management of a Shared Autonomous Electric Vehicle Fleet: Implications of Pricing Schemes Transportation Research Record: Journal of the Transportation Research Board. 2572: 37-46. DOI: 10.3141/2572-05 |
0.461 |
|
| 2016 |
LaMondia JJ, Fagnant DJ, Qu H, Barrett J, Kockelman K. Shifts in Long-Distance Travel Mode Due to Automated Vehicles: Statewide Mode-Shift Simulation Experiment and Travel Survey Analysis Transportation Research Record: Journal of the Transportation Research Board. 2566: 1-11. DOI: 10.3141/2566-01 |
0.435 |
|
| 2016 |
Reiter MS, Kockelman KM. Emissions and exposure costs of electric versus conventional vehicles: A case study in Texas International Journal of Sustainable Transportation. 11: 486-492. DOI: 10.1080/15568318.2016.1271482 |
0.379 |
|
| 2016 |
Chen TD, Kockelman KM. Carsharing's life-cycle impacts on energy use and greenhouse gas emissions Transportation Research Part D: Transport and Environment. 47: 276-284. DOI: 10.1016/J.Trd.2016.05.012 |
0.387 |
|
| 2016 |
Reiter MS, Kockelman KM. The problem of cold starts: A closer look at mobile source emissions levels Transportation Research Part D: Transport and Environment. 43: 123-132. DOI: 10.1016/J.Trd.2015.12.012 |
0.317 |
|
| 2016 |
Bansal P, Kockelman KM, Singh A. Assessing public opinions of and interest in new vehicle technologies: An Austin perspective Transportation Research Part C: Emerging Technologies. 67: 1-14. DOI: 10.1016/J.Trc.2016.01.019 |
0.42 |
|
| 2016 |
Chen TD, Kockelman KM, Hanna JP. Operations of a shared, autonomous, electric vehicle fleet: Implications of vehicle & charging infrastructure decisions Transportation Research Part a: Policy and Practice. 94: 243-254. DOI: 10.1016/J.Tra.2016.08.020 |
0.413 |
|
| 2016 |
Zhang W, Kockelman KM. Congestion pricing effects on firm and household location choices in monocentric and polycentric cities Regional Science and Urban Economics. 58: 1-12. DOI: 10.1016/J.Regsciurbeco.2016.01.002 |
0.448 |
|
| 2016 |
Zhang W, Kockelman KM. Optimal policies in cities with congestion and agglomeration externalities: Congestion tolls, labor subsidies, and place-based strategies Journal of Urban Economics. 95: 64-86. DOI: 10.1016/J.Jue.2016.08.003 |
0.38 |
|
| 2016 |
Bansal P, Kockelman KM. Are we ready to embrace connected and self-driving vehicles? A case study of Texans Transportation. 45: 641-675. DOI: 10.1007/S11116-016-9745-Z |
0.441 |
|
| 2016 |
Fagnant DJ, Kockelman KM. Dynamic ride-sharing and fleet sizing for a system of shared autonomous vehicles in Austin, Texas Transportation. 45: 143-158. DOI: 10.1007/S11116-016-9729-Z |
0.47 |
|
| 2015 |
Chen TD, Kockelman KM, Zhao Y. What Matters Most in Transportation Demand Model Specifications: A Comparison of Outputs in a Mid-size Network Journal of the Transportation Research Forum. 54: 1-20. DOI: 10.5399/Osu/Jtrf.54.2.4300 |
0.41 |
|
| 2015 |
Fagnant DJ, Kockelman KM, Bansal P. Operations of shared autonomous vehicle fleet for Austin, Texas, market Transportation Research Record. 2536: 98-106. DOI: 10.3141/2536-12 |
0.456 |
|
| 2015 |
Ma S, Kockelman KM, Fagnant DJ. Welfare analysis using logsum differences versus rule of half: Series of case studies Transportation Research Record. 2530: 73-83. DOI: 10.3141/2530-09 |
0.485 |
|
| 2015 |
Bansal P, Kockelman KM, Wang Y. Hybrid electric vehicle ownership and fuel economy across Texas an application of spatial models Transportation Research Record. 2525: 53-64. DOI: 10.3141/2495-06 |
0.446 |
|
| 2015 |
Fagnant DJ, Kockelman K. A direct-demand model for bicycle counts: the impacts of level of service and other factors Environment and Planning B: Planning and Design. 43: 93-107. DOI: 10.1177/0265813515602568 |
0.457 |
|
| 2015 |
Fagnant DJ, Kockelman KM. Motorcycle Use in the United States: Crash Experiences, Safety Perspectives, and Countermeasures Journal of Transportation Safety and Security. 7: 20-39. DOI: 10.1080/19439962.2014.894164 |
0.359 |
|
| 2015 |
Nichols BG, Kockelman KM, Reiter M. Air quality impacts of electric vehicle adoption in Texas Transportation Research Part D: Transport and Environment. 34: 208-218. DOI: 10.1016/J.Trd.2014.10.016 |
0.334 |
|
| 2015 |
Fagnant DJ, Kockelman K. Preparing a nation for autonomous vehicles: opportunities, barriers and policy recommendations Transportation Research Part a-Policy and Practice. 77: 167-181. DOI: 10.1016/J.Tra.2015.04.003 |
0.448 |
|
| 2015 |
Chen TD, Wang Y, Kockelman KM. Where are the electric vehicles? A spatial model for vehicle-choice count data Journal of Transport Geography. 43: 181-188. DOI: 10.1016/J.Jtrangeo.2015.02.005 |
0.465 |
|
| 2014 |
Nichols BG, Kockelman KM. Pay-as-you-drive insurance: Its impacts on household driving and welfare Transportation Research Record. 2450: 76-82. DOI: 10.3141/2450-10 |
0.467 |
|
| 2014 |
Kuzmyak JR, Walters J, Bradley M, Kockelman KM. Estimating Bicycling and Walking for Planning and Project Development: A Guidebook Nchrp Report. DOI: 10.17226/22330 |
0.396 |
|
| 2014 |
Fagnant D, Kockelman KM. Anticipating roadway expansion and tolling impacts: Toolkit for abstracted networks Journal of Urban Planning and Development. 140. DOI: 10.1061/(Asce)Up.1943-5444.0000188 |
0.401 |
|
| 2014 |
Xiong X, Kockelman K. Cost of right-of-way acquisition: Recognizing the impact of condemnation via a switching regression model Journal of Infrastructure Systems. 20. DOI: 10.1061/(Asce)Is.1943-555X.0000195 |
0.431 |
|
| 2014 |
Fagnant DJ, Kockelman KM. The travel and environmental implications of shared autonomous vehicles, using agent-based model scenarios Transportation Research Part C: Emerging Technologies. 40: 1-13. DOI: 10.1016/J.Trc.2013.12.001 |
0.501 |
|
| 2014 |
Khan M, Kockelman KM, Xiong X. Models for anticipating non-motorized travel choices, and the role of the built environment Transport Policy. 35: 117-126. DOI: 10.1016/J.Tranpol.2014.05.008 |
0.385 |
|
| 2014 |
Nichols BG, Kockelman KM. Life-cycle energy implications of different residential settings: Recognizing buildings, travel, and public infrastructure Energy Policy. 68: 232-242. DOI: 10.1016/J.Enpol.2013.12.062 |
0.302 |
|
| 2014 |
Wang Y, Kockelman KM, Damien P. A spatial autoregressive multinomial probit model for anticipating land-use change in Austin, Texas Annals of Regional Science. 52: 251-278. DOI: 10.1007/S00168-013-0584-Y |
0.425 |
|
| 2014 |
Chester MV, Sperling J, Stokes E, Allenby B, Kockelman K, Kennedy C, Baker LA, Keirstead J, Hendrickson CT. Positioning infrastructure and technologies for low‐carbon urbanization Earth’S Future. 2: 533-547. DOI: 10.1002/2014Ef000253 |
0.316 |
|
| 2013 |
Wang Y, Kockelman KM. A Poisson-lognormal conditional-autoregressive model for multivariate spatial analysis of pedestrian crash counts across neighborhoods. Accident; Analysis and Prevention. 60: 71-84. PMID 24036167 DOI: 10.1016/J.Aap.2013.07.030 |
0.44 |
|
| 2013 |
Wang Y, Kockelman KM, Wang XC. The impact of weight matrices on parameter estimation and inference: A case study of binary response using land-use data Journal of Transport and Land Use. 6: 75-85. DOI: 10.5198/Jtlu.V6I3.351 |
0.429 |
|
| 2013 |
Fagnant DJ, Nichols BG, Kockelman KM. Who Rides and who Pays Transportation Research Record: Journal of the Transportation Research Board. 2388: 37-46. DOI: 10.3141/2388-06 |
0.414 |
|
| 2013 |
Chen TD, Kockelman KM, Khan M. Locating Electric Vehicle Charging Stations Transportation Research Record: Journal of the Transportation Research Board. 2385: 28-36. DOI: 10.3141/2385-04 |
0.408 |
|
| 2013 |
Chen TD, Kockelman KM. Americans’ Crash Histories and Opinions on Safety Policy Transportation Research Record: Journal of the Transportation Research Board. 2364: 12-22. DOI: 10.3141/2364-02 |
0.34 |
|
| 2013 |
Tirumalachetty S, Kockelman KM, Nichols BG. Forecasting greenhouse gas emissions from urban regions: Microsimulation of land use and transport patterns in Austin, Texas Journal of Transport Geography. 33: 220-229. DOI: 10.1016/J.Jtrangeo.2013.08.002 |
0.417 |
|
| 2013 |
Wang Y, Kockelman KM, Wang X. Understanding spatial filtering for analysis of land use-transport data Journal of Transport Geography. 31: 123-131. DOI: 10.1016/J.Jtrangeo.2013.06.001 |
0.44 |
|
| 2013 |
Selby B, Kockelman KM. Spatial prediction of traffic levels in unmeasured locations: Applications of universal kriging and geographically weighted regression Journal of Transport Geography. 29: 24-32. DOI: 10.1016/J.Jtrangeo.2012.12.009 |
0.369 |
|
| 2012 |
Selby B, Kockelman KM. Microsimulating Automobile Markets: Evolution of Vehicle Holdings and Vehicle Pricing Dynamics Journal of the Transportation Research Forum. 51. DOI: 10.5399/Osu/Jtrf.51.2.2916 |
0.463 |
|
| 2012 |
Tuttle DP, Kockelman KM. Electrified Vehicle Technology Trends, Infrastructure Implications, and Cost Comparisons Journal of the Transportation Research Forum. 51. DOI: 10.5399/Osu/Jtrf.51.1.2806 |
0.405 |
|
| 2012 |
Kockelman KM, Podgorski K, Bina M, Gadda S. Public Perceptions of Pricing Existing Roads and Other Transportation Policies: The Texas Perspective Journal of the Transportation Research Forum. 48. DOI: 10.5399/Osu/Jtrf.48.3.2316 |
0.418 |
|
| 2012 |
Kalmanje S, Kockelman KM. Variations in Toll Road Impacts: Case Studies from Texas Journal of the Transportation Research Forum. 48. DOI: 10.5399/Osu/Jtrf.48.2.2256 |
0.41 |
|
| 2012 |
Fagnant DJ, Kockelman KM. Outcome of Transportation Projects under Uncertainty: Examination of Benefit–Cost Ratios and Other Impacts Transportation Research Record: Journal of the Transportation Research Board. 2303: 89-98. DOI: 10.3141/2303-10 |
0.398 |
|
| 2012 |
Xie C, Kockelman K. Two-stage equilibrium travel demand model for sketch planning Transportation Research Record. 1-13. DOI: 10.3141/2302-01 |
0.463 |
|
| 2012 |
Chen TD, Kockelman KM. Roles of Vehicle Footprint, Height, and Weight in Crash Outcomes Transportation Research Record: Journal of the Transportation Research Board. 2280: 89-99. DOI: 10.3141/2280-10 |
0.406 |
|
| 2012 |
Du X, Kockelman KM. Tracking transportation and industrial production across a nation Transportation Research Record. 99-109. DOI: 10.3141/2269-12 |
0.409 |
|
| 2012 |
Lemp JD, Kockelman KM, Damien P. A bivariate multinomial probit model for trip scheduling: Bayesian analysis of the work tour Transportation Science. 46: 405-424. DOI: 10.1287/Trsc.1110.0397 |
0.785 |
|
| 2012 |
Zhao Y, Kockelman K, Karlström A. Welfare calculations in discrete choice settings: An exploratory analysis of error term correlation with finite populations Transport Policy. 19: 76-84. DOI: 10.1016/J.Tranpol.2011.09.002 |
0.329 |
|
| 2012 |
Lemp JD, Kockelman KM. Strategic sampling for large choice sets in estimation and application Transportation Research Part a: Policy and Practice. 46: 602-613. DOI: 10.1016/J.Tra.2011.11.004 |
0.756 |
|
| 2012 |
Wang XC, Kockelman KM, Lemp JD. The dynamic spatial multinomial probit model: Analysis of land use change using parcel-level data Journal of Transport Geography. 24: 77-88. DOI: 10.1016/J.Jtrangeo.2012.06.011 |
0.787 |
|
| 2012 |
Khan M, Kockelman KM. Predicting the market potential of plug-in electric vehicles using multiday GPS data Energy Policy. 46: 225-233. DOI: 10.1016/J.Enpol.2012.03.055 |
0.402 |
|
| 2011 |
Lemp JD, Kockelman KM, Unnikrishnan A. Analysis of large truck crash severity using heteroskedastic ordered probit models. Accident; Analysis and Prevention. 43: 370-80. PMID 21094335 DOI: 10.1016/J.Aap.2010.09.006 |
0.782 |
|
| 2011 |
Gulipalli PK, Kalmanje S, Kockelman K. Credit-Based Congestion Pricing: Expert Expectations and Guidelines for Application Journal of the Transportation Research Forum. 47. DOI: 10.5399/Osu/Jtrf.47.2.1686 |
0.452 |
|
| 2011 |
Zhou B, Kockelman KM. Change in land use through microsimulation of market dynamics: Agent-based model of land development and locator bidding in Austin, Texas Transportation Research Record. 125-136. DOI: 10.3141/2255-14 |
0.414 |
|
| 2011 |
Paul BM, Kockelman KM, Musti S. Evolution of the light-duty vehicle fleet: Anticipating adoption of plug-in hybrid electric vehicles and greenhouse gas emissions across the U.S. Fleet Transportation Research Record. 107-117. DOI: 10.3141/2252-14 |
0.41 |
|
| 2011 |
Wang Y, Kockelman KM, Wang X. Anticipation of land use change through use of geographically weighted regression models for discrete response Transportation Research Record. 111-123. DOI: 10.3141/2245-14 |
0.44 |
|
| 2011 |
Zhou B, Kockelman KM. Opportunities for and impacts of carsharing: A survey of the Austin, Texas market International Journal of Sustainable Transportation. 5: 135-152. DOI: 10.1080/15568311003717181 |
0.391 |
|
| 2011 |
Kakaraparthi SK, Kockelman KM. Application of UrbanSim to the Austin, Texas, Region: Integrated-Model Forecasts for the Year 2030 Journal of Urban Planning and Development. 137: 238-247. DOI: 10.1061/(Asce)Up.1943-5444.0000065 |
0.486 |
|
| 2011 |
Kockelman KM, Thompson MR, Whitehead-Frei CA. Americans' contributions to climate change: Opportunities for meeting carbon targets Journal of Urban Planning and Development. 137: 91-100. DOI: 10.1061/(Asce)Up.1943-5444.0000049 |
0.35 |
|
| 2011 |
Musti S, Kortum K, Kockelman KM. Household energy use and travel: Opportunities for behavioral change Transportation Research Part D: Transport and Environment. 16: 49-56. DOI: 10.1016/J.Trd.2010.07.005 |
0.372 |
|
| 2011 |
Kockelman KM, Lemp JD. Anticipating new-highway impacts: Opportunities for welfare analysis and credit-based congestion pricing Transportation Research Part a: Policy and Practice. 45: 825-838. DOI: 10.1016/J.Tra.2011.06.009 |
0.781 |
|
| 2011 |
Musti S, Kockelman KM. Evolution of the household vehicle fleet: Anticipating fleet composition, PHEV adoption and GHG emissions in Austin, Texas Transportation Research Part a: Policy and Practice. 45: 707-720. DOI: 10.1016/J.Tra.2011.04.011 |
0.452 |
|
| 2011 |
Xie C, Kockelman KM, Waller ST. A maximum entropy-least squares estimator for elastic origin-destination trip matrix estimation Transportation Research Part B: Methodological. 45: 1465-1482. DOI: 10.1016/J.Sbspro.2011.04.514 |
0.311 |
|
| 2010 |
Karoonsoontawong A, Ukkusuri S, Waller ST, Kockelman KM. A Simulation-Based Approximation Algorithm for Dynamic Marginal Cost Pricing Journal of the Transportation Research Forum. 47. DOI: 10.5399/Osu/Jtrf.47.4.1131 |
0.332 |
|
| 2010 |
Huang T, Kockelman KM. The Introduction of Dynamic Features in a Random-Utility-Based Multiregional Input-Output Model of Trade, Production, and Location Choice Journal of the Transportation Research Forum. 47: 1-21. DOI: 10.5399/Osu/Jtrf.47.1.1061 |
0.415 |
|
| 2010 |
Kockelman KM, Ma J. Freeway Speeds and Speed Variations Preceding Crashes, Within and Across Lanes Journal of the Transportation Research Forum. 46: 43-61. DOI: 10.5399/Osu/Jtrf.46.1.976 |
0.337 |
|
| 2010 |
Kweon Y, Kockelman KM. Driver Attitudes and Choices: Speed Limits, Seat Belt Use, and Drinking-and-Driving Journal of the Transportation Research Forum. 45: 1-19. DOI: 10.5399/Osu/Jtrf.45.3.611 |
0.384 |
|
| 2010 |
Xie C, Kockelman KM, Waller ST. Maximum entropy method for subnetwork origin-destination trip matrix estimation Transportation Research Record. 111-119. DOI: 10.3141/2196-12 |
0.358 |
|
| 2010 |
Lemp JD, Kockelman KM. Empirical investigation of continuous logit for departure time choice with bayesian methods Transportation Research Record. 59-68. DOI: 10.3141/2165-07 |
0.779 |
|
| 2010 |
Whitehead-Frei C, Kockelman KM. Americans' Time Use: A focus on women and child rearing-structural equations modeling Transportation Research Record. 32-44. DOI: 10.3141/2163-04 |
0.368 |
|
| 2010 |
McDonald-Buller EC, Webb A, Kockelman KM, Zhou B. Effects of transportation and land use policies on air quality: A case study in Austin, Texas Transportation Research Record. 28-35. DOI: 10.3141/2158-04 |
0.442 |
|
| 2010 |
Duthie J, Voruganti A, Kockelman K, Waller ST. Highway improvement project rankings due to uncertain model inputs: Application of traditional transportation and land use models Journal of Urban Planning and Development. 136: 294-302. DOI: 10.1061/(Asce)Up.1943-5444.0000026 |
0.482 |
|
| 2010 |
Boyles SD, Kockelman KM, Travis Waller S. Congestion pricing under operational, supply-side uncertainty Transportation Research Part C: Emerging Technologies. 18: 519-535. DOI: 10.1016/J.Trc.2009.09.006 |
0.345 |
|
| 2010 |
Lemp JD, Kockelman KM, Damien P. The continuous cross-nested logit model: Formulation and application for departure time choice Transportation Research Part B: Methodological. 44: 646-661. DOI: 10.1016/J.Trb.2010.03.001 |
0.79 |
|
| 2010 |
Shively TS, Kockelman K, Damien P. A Bayesian semi-parametric model to estimate relationships between crash counts and roadway characteristics Transportation Research Part B: Methodological. 44: 699-715. DOI: 10.1016/J.Trb.2009.12.019 |
0.438 |
|
| 2009 |
Wang X, Kockelman KM. Application of dynamic spatial ordered probit model Transportation Research Record. 45-56. DOI: 10.3141/2136-06 |
0.451 |
|
| 2009 |
Zhou B, Kockelman KM, Lemp JD. Applications of integrated transport and gravity-based land use models for policy analysis Transportation Research Record. 123-132. DOI: 10.3141/2133-13 |
0.791 |
|
| 2009 |
Zhou B, Kockelman KM. Lessons learned in developing and applying land use model systems: Parcel-based example Transportation Research Record. 75-82. DOI: 10.3141/2133-08 |
0.485 |
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| 2009 |
Lemp JD, Kockelman KM. Anticipating welfare impacts via travel demand forecasting models: Comparison of aggregate and activity-based approaches for the Austin, Texas, region Transportation Research Record. 11-22. DOI: 10.3141/2133-02 |
0.789 |
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| 2009 |
Lemp JD, Kockelman KM. Understanding and accommodating risk and uncertainty in toll road projects: A review of the literature Transportation Research Record. 106-112. DOI: 10.3141/2132-12 |
0.764 |
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| 2009 |
Gadda S, Kockelman KM, Damien P. Continuous departure time models: A bayesian approach Transportation Research Record. 13-24. DOI: 10.3141/2132-02 |
0.425 |
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| 2009 |
Wang X, Kockelman KM. Forecasting network data spatial interpolation of traffic counts from texas data Transportation Research Record. 100-108. DOI: 10.3141/2105-13 |
0.597 |
|
| 2009 |
Wang X, Kockelman KM. Baysian inference for ordered response data with a dynamic spatial-ordered probit model Journal of Regional Science. 49: 877-913. DOI: 10.1111/J.1467-9787.2009.00622.X |
0.579 |
|
| 2009 |
Wang X, Kockelman KM. Application of the dynamic spatial ordered probit model: Patterns of land development change in Austin, Texas Papers in Regional Science. 88: 345-365. DOI: 10.1111/j.1435-5957.2009.00249.x |
0.301 |
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| 2009 |
Zhou B(, Kockelman KM. Predicting the distribution of households and employment: a seemingly unrelated regression model with two spatial processes Journal of Transport Geography. 17: 369-376. DOI: 10.1016/J.Jtrangeo.2008.09.003 |
0.46 |
|
| 2008 |
Ma J, Kockelman KM, Damien P. A multivariate Poisson-lognormal regression model for prediction of crash counts by severity, using Bayesian methods. Accident; Analysis and Prevention. 40: 964-75. PMID 18460364 DOI: 10.1016/J.Aap.2007.11.002 |
0.436 |
|
| 2008 |
Kumar S, Kockelman KM. Tracking size, location, and interactions of businesses: Microsimulation of firm behavior in Austin, Texas Transportation Research Record. 113-121. DOI: 10.3141/2077-15 |
0.401 |
|
| 2008 |
Zhou B, Kockelman KM. Microsimulation of residential land development and household location choices: Bidding for land in Austin, Texas Transportation Research Record. 106-112. DOI: 10.3141/2077-14 |
0.384 |
|
| 2008 |
Zhou B, Kockelman KM. Self-selection in home choice: Use of treatment effects in evaluating relationship between built environment and travel behavior Transportation Research Record. 54-61. DOI: 10.3141/2077-08 |
0.406 |
|
| 2008 |
Stopher PR, Kockelman K, Greaves SP, Clifford E. Reducing burden and sample sizes in multiday household travel surveys Transportation Research Record. 12-18. DOI: 10.3141/2064-03 |
0.384 |
|
| 2008 |
Lemp JD, Zhou B, Kockelman KM, Parmenter BM. Visioning versus modeling: Analyzing the land-use-transportation futures of urban regions Journal of Urban Planning and Development. 134: 97-109. DOI: 10.1061/(Asce)0733-9488(2008)134:3(97) |
0.779 |
|
| 2008 |
Lemp JD, Kockelman KM. Quantifying the external costs of vehicle use: Evidence from America's top-selling light-duty models Transportation Research Part D: Transport and Environment. 13: 491-504. DOI: 10.1016/J.Trd.2008.09.005 |
0.758 |
|
| 2008 |
Gulipalli PK, Kockelman KM. Credit-based congestion pricing: A Dallas-Fort Worth application Transport Policy. 15: 23-32. DOI: 10.1016/J.Tranpol.2007.10.007 |
0.458 |
|
| 2008 |
Zhou B, Kockelman KM. Neighborhood impacts on land use change: A multinomial logit model of spatial relationships Annals of Regional Science. 42: 321-340. DOI: 10.1007/S00168-007-0149-Z |
0.425 |
|
| 2007 |
Lemp JD, McWethy LB, Kockelman KM. From aggregate methods to microsimulation: Assessing benefits of microscopic activity-based models of travel demand Transportation Research Record. 80-88. DOI: 10.3141/1994-11 |
0.792 |
|
| 2007 |
Wang X, Kockelman KM. Specification and estimation of a spatially and temporally autocorrelated seemingly unrelated regression model: Application to crash rates in China Transportation. 34: 281-300. DOI: 10.1007/S11116-007-9117-9 |
0.591 |
|
| 2006 |
Xiaokun W, Kockelman KM. Tracking land cover change in mixed logit model: Recognizing temporal and spatial effects Transportation Research Record. 112-120. DOI: 10.3141/1977-16 |
0.465 |
|
| 2006 |
Bina M, Warburg V, Kockelman KM. Location choice vis-à-vis transportation: Apartment dwellers Transportation Research Record. 93-102. DOI: 10.3141/1977-14 |
0.487 |
|
| 2006 |
Ma J, Kockelman KM. Bayesian multivariate poisson regression for models of injury count, by severity Transportation Research Record. 24-34. DOI: 10.3141/1950-04 |
0.382 |
|
| 2006 |
Gupta S, Kalmanje S, Kockelman KM. Road pricing simulations: Traffic, land use and welfare impacts for Austin, Texas Transportation Planning and Technology. 29: 1-23. DOI: 10.1080/03081060600584130 |
0.549 |
|
| 2006 |
Juri NR, Kockelman KM. Evaluation of the Trans-Texas Corridor proposal: Application and enhancements of the random-utility-based multiregional input-output model Journal of Transportation Engineering. 132: 531-539. DOI: 10.1061/(Asce)0733-947X(2006)132:7(531) |
0.448 |
|
| 2006 |
Zhao Y, Kockelman KM. On-line marginal-cost pricing across networks: Incorporating heterogeneous users and stochastic equilibria Transportation Research Part B: Methodological. 40: 424-435. DOI: 10.1016/J.Trb.2005.08.001 |
0.342 |
|
| 2006 |
Podgorski KV, Kockelman KM. Public perceptions of toll roads: A survey of the Texas perspective Transportation Research Part a: Policy and Practice. 40: 888-902. DOI: 10.1016/J.Tra.2006.03.002 |
0.407 |
|
| 2005 |
Wang X, Kockelman KM. Use of heteroscedastic ordered logit model to study severity of occupant injury distinguishing effects of vehicle weight and type Transportation Research Record. 195-204. DOI: 10.3141/1908-24 |
0.557 |
|
| 2005 |
Kweon Y, Kockelman KM. Safety Effects of Speed Limit Changes: Use of Panel Models, Including Speed, Use, and Design Variables Transportation Research Record. 1908: 148-158. DOI: 10.3141/1908-18 |
0.413 |
|
| 2005 |
Frazier C, Kockelman KM. Spatial econometric models for panel data: Incorporating spatial and temporal data Transportation Research Record. 80-90. DOI: 10.3141/1902-10 |
0.457 |
|
| 2005 |
Vanka S, Handy S, Kockelman KM. State-local coordination in managing land use and transportation along state highways Journal of Urban Planning and Development. 131: 10-18. DOI: 10.1061/(Asce)0733-9488(2005)131:1(10) |
0.317 |
|
| 2005 |
Heiner JD, Kockelman KM. Costs of right-of-way acquisition: Methods and models for estimation Journal of Transportation Engineering. 131: 193-204. DOI: 10.1061/(Asce)0733-947X(2005)131:3(193) |
0.448 |
|
| 2005 |
Kockelman KM, Kalmanje S. Credit-based congestion pricing: A policy proposal and the public's response Transportation Research Part a: Policy and Practice. 39: 671-690. DOI: 10.1016/J.Tra.2005.02.014 |
0.427 |
|
| 2005 |
Kockelman KM, Jin L, Zhao Y, Ruíz-Juri N. Tracking land use, transport, and industrial production using random-utility-based multiregional input-output models: Applications for Texas trade Journal of Transport Geography. 13: 275-286. DOI: 10.1016/J.Jtrangeo.2004.04.009 |
0.449 |
|
| 2004 |
Kalmanje S, Kockelman KM. Credit-based congestion pricing travel, land value, and welfare impacts Transportation Research Record. 45-53. DOI: 10.3141/1864-07 |
0.436 |
|
| 2004 |
Kockelman KM, Krishnamurthy S. A new approach for travel demand modeling: Linking Roy's Identity to discrete choice Transportation Research Part B: Methodological. 38: 459-475. DOI: 10.1016/S0191-2615(03)00076-6 |
0.53 |
|
| 2004 |
Zhao Y, Kockelman KM. The random-utility-based multiregional input-output model: Solution existence and uniqueness Transportation Research Part B: Methodological. 38: 789-807. DOI: 10.1016/J.Trb.2003.10.005 |
0.391 |
|
| 2003 |
Kweon YJ, Kockelman KM. Overall injury risk to different drivers: combining exposure, frequency, and severity models. Accident; Analysis and Prevention. 35: 441-50. PMID 12729808 DOI: 10.1016/S0001-4575(02)00021-0 |
0.39 |
|
| 2003 |
Krishnamurthy S, Kockelman KM. Propagation of Uncertainty in Transportation Land Use Models Investigation of DRAM-EMPAL and UTPP Predictions in Austin, Texas Transportation Research Record. 219-229. DOI: 10.3141/1831-25 |
0.491 |
|
| 2003 |
Kockelman KM, Machemehl R, Overman AW, Sesker J, Madi M, Peterman J, Handy S. Frontage roads: Assessment of legal issues, design decisions, costs, operations, and land-development differences Journal of Transportation Engineering. 129: 242-252. DOI: 10.1061/(Asce)0733-947X(2003)129:3(242) |
0.437 |
|
| 2002 |
Kockelman KM, Kweon YJ. Driver injury severity: An application of ordered probit models Accident Analysis and Prevention. 34: 313-321. PMID 11939360 DOI: 10.1016/S0001-4575(01)00028-8 |
0.349 |
|
| 2002 |
Kockelman K, Heard L, Kweon Y, Rioux T. Sidewalk Cross-Slope Design: Analysis of Accessibility for Persons with Disabilities Transportation Research Record: Journal of the Transportation Research Board. 1818: 108-118. DOI: 10.3141/1818-17 |
0.323 |
|
| 2002 |
Ten Siethoff B, Kockelman KM. Property values and highway expansion timing, size, location, and use effects Transportation Research Record. 191-200. DOI: 10.3141/1812-24 |
0.424 |
|
| 2002 |
Pradhan A, Kockelman KM. Uncertainty propagation in an integrated land use-transportation modeling framework: Output variation via UrbanSim Transportation Research Record. 128-135. DOI: 10.3141/1805-15 |
0.462 |
|
| 2002 |
Srour IM, Kockelman KM, Dunn TP. Accessibility indices: Connection to residential land prices and location choices Transportation Research Record. 25-34. DOI: 10.3141/1805-04 |
0.422 |
|
| 2002 |
Nakamura K, Kockelman KM. Congestion pricing and roadspace rationing: An application to the San Francisco Bay Bridge corridor Transportation Research Part a: Policy and Practice. 36: 403-417. DOI: 10.1016/S0965-8564(01)00010-6 |
0.407 |
|
| 2002 |
Zhao Y, Kockelman KM. The propagation of uncertainty through travel demand models: An exploratory analysis Annals of Regional Science. 36: 145-163. DOI: 10.1007/S001680200072 |
0.436 |
|
| 2001 |
Kockelman KM. Modeling traffic's flow-density relation: Accommodation of multiple flow regimes and traveler types Transportation. 28: 363-374. DOI: 10.1023/A:1011815913359 |
0.439 |
|
| 2001 |
Kockelman KM. A model for time - and budget-contrained activity demand analysis Transportation Research Part B: Methodological. 35: 255-269. DOI: 10.1016/S0191-2615(99)00050-8 |
0.406 |
|
| 2000 |
Kockelman KM. To LDT or not to LDT: Assessment of principal impacts of light-duty trucks Transportation Research Record. 3-10. DOI: 10.3141/1738-01 |
0.398 |
|
| 2000 |
Kockelman K, Zhao Y, Heard L, Taylor D, Taylor B. Sidewalk Cross-Slope Requirements of the Americans with Disabilities Act: Literature Review Transportation Research Record: Journal of the Transportation Research Board. 1705: 53-60. DOI: 10.3141/1705-09 |
0.323 |
|
| 2000 |
Kockelman KM, Zhao Y. Behavioral distinctions : the use of light-duty trucks and passenger cars Journal of Transportation and Statistics. 3. DOI: 10.21949/1501635 |
0.437 |
|
| 2000 |
Kockelman KM, Shabih RA. Effect of Light-Duty Trucks on the Capacity of Signalized Intersections Journal of Transportation Engineering. 126: 506-512. DOI: 10.1061/(Asce)0733-947X(2000)126:6(506) |
0.405 |
|
| 1999 |
Kockelman KM. Application of a utility-theory-consistent, system-of-demand-equations approach to household travel choice Transportation Research Record. 20-29. DOI: 10.3141/1676-03 |
0.429 |
|
| 1998 |
Kockelman KM. Changes in flow-density relationship due to environmental, vehicle, and driver characteristics Transportation Research Record. 47-56. DOI: 10.3141/1644-06 |
0.315 |
|
| 1997 |
Kockelman KM. Travel behavior as function of accessibility, land use mixing, and land use balance: Evidence from San Francisco Bay Area Transportation Research Record. 116-125. DOI: 10.3141/1607-16 |
0.436 |
|
| 1997 |
Kockelman KM. Effects of location elements on home purchase prices and rents in San Francisco bay area Transportation Research Record. 40-50. DOI: 10.3141/1606-06 |
0.484 |
|
| 1997 |
Cervero R, Kockelman K. Travel demand and the 3Ds: Density, diversity, and design Transportation Research Part D: Transport and Environment. 2: 199-219. DOI: 10.1016/S1361-9209(97)00009-6 |
0.422 |
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