Working Paper Series
Parent: UC Irvine Institute of Transportation Studies
eScholarship stats: Breakdown by Item for May through August, 2026
| Item | Title | Total requests | Download | View-only | %Dnld |
|---|---|---|---|---|---|
| 6rg2r0cj | Vehicle Weight Safety Study Academic Report | 614 | 269 | 345 | 43.8% |
| 6091s9tg | The Four Step Model | 358 | 76 | 282 | 21.2% |
| 8d2186s7 | A Real-Time Algorithm to Solve the Peer-to-Peer Ride-MatchingProblem in a Flexible Ridesharing System | 329 | 94 | 235 | 28.6% |
| 8q0560pw | Is the Journey to Work Explained by Urban Structure? | 329 | 191 | 138 | 58.1% |
| 2hr1k5s0 | Measuring Traffic Congestion | 314 | 127 | 187 | 40.4% |
| 0pw5j5d0 | Safety of High Occupancy Vehicle Lanes without Physical Separation | 302 | 33 | 269 | 10.9% |
| 82w2m4c4 | Forecasting Electric Vehicle Ownership and Use in the California South Coast Air Basin | 292 | 179 | 113 | 61.3% |
| 9g8265fz | The Demand for Transportation: Models and Applications | 274 | 91 | 183 | 33.2% |
| 19m6d5m4 | Evaluation of 1984 Los Angeles Summer Olympics Traffic Management | 262 | 75 | 187 | 28.6% |
| 71f446cm | Urban Transportation | 261 | 157 | 104 | 60.2% |
| 5ks7988g | Private Toll Roads: Learning From the Nineteenth Century | 248 | 51 | 197 | 20.6% |
| 5417r5t2 | Travel-Time Uncertainty, Departure Time Choice, and the Cost of the Morning Commute | 243 | 89 | 154 | 36.6% |
| 7wq9b14d | Autos, Transit and the Sprawl of Los Angeles: The 1920s | 243 | 94 | 149 | 38.7% |
| 5j43q8mj | The Use of Alternative Specific Constants in Choice Modeling | 238 | 56 | 182 | 23.5% |
| 94c6r9fr | The Activity-Based Approach | 227 | 48 | 179 | 21.1% |
| 5n56s5sr | The Century Freeway/Transitway I-105: Nucleation, Land Use Changes and Transportation Behavior | 226 | 126 | 100 | 55.8% |
| 2sf928j3 | A Choice Experiment Survey of Drayage Fleet Operator Preferences for Zero-Emission Trucks | 210 | 73 | 137 | 34.8% |
| 5cf1w75g | Charging Infrastructure Decisions by Heavy-duty Vehicle Fleet Operators: An Exploratory Analysis | 203 | 75 | 128 | 36.9% |
| 3k6453wg | A Comparison of Time-use for Telecommuters, Potential Telecommuters, and Commuters during the COVID-19 Pandemic | 198 | 63 | 135 | 31.8% |
| 3vp8940q | Economic Impacts of the Northridge Earthquake's Transportation Damage: Results from a Survey of Firms | 195 | 69 | 126 | 35.4% |
| 1zb9n444 | The Four Step Model | 192 | 43 | 149 | 22.4% |
| 57r1z2s2 | Benefits, Acceptance, and Marketability of Value-Priced Services: California's Route 91 Express Lanes | 187 | 29 | 158 | 15.5% |
| 9rh9f29x | Accident Proneness: The History of an Idea | 186 | 67 | 119 | 36.0% |
| 00x6z693 | A Personal Vehicle Transactions Choice Model for Use in Forecasting Demand for Future Alternative-Fuel Vehicles | 184 | 65 | 119 | 35.3% |
| 21f3t24g | Transit-Oriented Development in San Diego County: Incrementally Implementing a Comprehensive Idea | 184 | 61 | 123 | 33.2% |
| 0nk4f7s0 | Urban Spatial Structure | 182 | 63 | 119 | 34.6% |
| 4sf4v88g | A Deep Ensemble Neural Network Approach for FHWA Axle-based Vehicle Classification using Advanced Single Inductive Loops | 182 | 47 | 135 | 25.8% |
| 30s7t9mb | Does Britain or the United States Have the Right Gasoline Tax? | 178 | 117 | 61 | 65.7% |
| 8xr9q9gt | Objective and Subjective Dimensions of Travel Impedance as Determinants of Commuting Stress | 175 | 71 | 104 | 40.6% |
| 3x50n93f | Density Estimation using Inductive Loop Signature based Vehicle Re-identification and Classification | 166 | 57 | 109 | 34.3% |
| 86b161s6 | Traffic Congestion, Type-A Behavior and Stress | 165 | 63 | 102 | 38.2% |
| 5ts7t9hv | Rational Response to Irrational Attitudes: The Level of the Gasoline Tax in the United States | 160 | 39 | 121 | 24.4% |
| 584432nm | The Built Environment and Physical Activity: Empirical Methods and Data Resources | 159 | 103 | 56 | 64.8% |
| 5sn7k6kn | Hypercongestion | 158 | 66 | 92 | 41.8% |
| 2jf86859 | Vehicle Point Cloud Reconstruction Framework for FHWA axle-based Classification using Roadside LiDAR Sensor | 157 | 47 | 110 | 29.9% |
| 3tt6050j | Integration of Weigh-in-Motion and Inductive Signature Technology for Advanced Truck Monitoring | 156 | 52 | 104 | 33.3% |
| 59m3d34v | Incident Characteristics, Frequency, and Duration on a High Volume Urban Freeway | 153 | 41 | 112 | 26.8% |
| 68b3g336 | Lidar Based Reconstruction framework for Truck Surveillance | 152 | 56 | 96 | 36.8% |
| 05f2c38k | Greenhouse Gas Emissions and Australian Commuters' Attitudes and Behaviour Concerning Abatement Policies and Personal Involvement | 149 | 50 | 99 | 33.6% |
| 2px765z4 | A Discrete Choice Model for Ordered Alternatives | 149 | 39 | 110 | 26.2% |
| 44z2t7pm | TravelBehavior.com: Activity Approaches to Modeling the Effects of Information on Personal Travel Behavior | 149 | 35 | 114 | 23.5% |
| 35q3s252 | Performance Indicators for Transit Management | 148 | 41 | 107 | 27.7% |
| 6nh3h8px | A Disaggregate Model of Auto-Type Choice | 148 | 62 | 86 | 41.9% |
| 1rj5r3z0 | Can HOT Lanes Encourage Carpooling? A Case Study of Carpooling Behavior on the 91 Express Lanes | 147 | 39 | 108 | 26.5% |
| 00n2h30c | An Analysis of PM and NOx Train Emissions in the Alameda Corridor, CA. | 146 | 35 | 111 | 24.0% |
| 1hx0k62f | San Diego's I-15 Congestion Pricing Project: Preliminary Findings | 146 | 41 | 105 | 28.1% |
| 8xz102r3 | Stochastic Dynamic Itinerary Interception Refueling Location Problem with Queue Delay for Electric Taxi Charging Stations | 145 | 62 | 83 | 42.8% |
| 2qc2f7zx | Safety of Freeway Median High Occupancy Vehicle Lanes: A Comparison of Aggregate and Disaggregate Analyses | 144 | 46 | 98 | 31.9% |
| 46s54575 | Economic and Occupational Causes of Transit Operator Absenteeism: A Review of Research | 143 | 54 | 89 | 37.8% |
| 03d1f32s | Traffic Conditions and Truck Accidents on Urban Freeways | 140 | 42 | 98 | 30.0% |
Note: Due to the evolving nature of web traffic, the data presented here should be considered approximate and subject to revision. Learn more.