Working Paper Series

Parent: UC Irvine Institute of Transportation Studies

eScholarship stats: Breakdown by Item for May through August, 2026

ItemTitleTotal requestsDownloadView-only%Dnld
6rg2r0cjVehicle Weight Safety Study Academic Report61426934543.8%
6091s9tgThe Four Step Model3587628221.2%
8d2186s7A Real-Time Algorithm to Solve the Peer-to-Peer Ride-MatchingProblem in a Flexible Ridesharing System3299423528.6%
8q0560pwIs the Journey to Work Explained by Urban Structure?32919113858.1%
2hr1k5s0Measuring Traffic Congestion31412718740.4%
0pw5j5d0Safety of High Occupancy Vehicle Lanes without Physical Separation3023326910.9%
82w2m4c4Forecasting Electric Vehicle Ownership and Use in the California South Coast Air Basin29217911361.3%
9g8265fzThe Demand for Transportation: Models and Applications2749118333.2%
19m6d5m4Evaluation of 1984 Los Angeles Summer Olympics Traffic Management2627518728.6%
71f446cmUrban Transportation26115710460.2%
5ks7988gPrivate Toll Roads: Learning From the Nineteenth Century2485119720.6%
5417r5t2Travel-Time Uncertainty, Departure Time Choice, and the Cost of the Morning Commute2438915436.6%
7wq9b14dAutos, Transit and the Sprawl of Los Angeles: The 1920s2439414938.7%
5j43q8mjThe Use of Alternative Specific Constants in Choice Modeling2385618223.5%
94c6r9frThe Activity-Based Approach2274817921.1%
5n56s5srThe Century Freeway/Transitway I-105: Nucleation, Land Use Changes and Transportation Behavior22612610055.8%
2sf928j3A Choice Experiment Survey of Drayage Fleet Operator Preferences for Zero-Emission Trucks2107313734.8%
5cf1w75gCharging Infrastructure Decisions by Heavy-duty Vehicle Fleet Operators: An Exploratory Analysis2037512836.9%
3k6453wgA Comparison of Time-use for Telecommuters, Potential Telecommuters, and Commuters during the COVID-19 Pandemic1986313531.8%
3vp8940qEconomic Impacts of the Northridge Earthquake's Transportation Damage: Results from a Survey of Firms1956912635.4%
1zb9n444The Four Step Model1924314922.4%
57r1z2s2Benefits, Acceptance, and Marketability of Value-Priced Services: California's Route 91 Express Lanes1872915815.5%
9rh9f29xAccident Proneness: The History of an Idea1866711936.0%
00x6z693A Personal Vehicle Transactions Choice Model for Use in Forecasting Demand for Future Alternative-Fuel Vehicles1846511935.3%
21f3t24gTransit-Oriented Development in San Diego County: Incrementally Implementing a Comprehensive Idea1846112333.2%
0nk4f7s0Urban Spatial Structure1826311934.6%
4sf4v88gA Deep Ensemble Neural Network Approach for FHWA Axle-based Vehicle Classification using Advanced Single Inductive Loops1824713525.8%
30s7t9mbDoes Britain or the United States Have the Right Gasoline Tax?1781176165.7%
8xr9q9gtObjective and Subjective Dimensions of Travel Impedance as Determinants of Commuting Stress1757110440.6%
3x50n93fDensity Estimation using Inductive Loop Signature based Vehicle Re-identification and Classification1665710934.3%
86b161s6Traffic Congestion, Type-A Behavior and Stress1656310238.2%
5ts7t9hvRational Response to Irrational Attitudes: The Level of the Gasoline Tax in the United States1603912124.4%
584432nmThe Built Environment and Physical Activity: Empirical Methods and Data Resources1591035664.8%
5sn7k6knHypercongestion158669241.8%
2jf86859Vehicle Point Cloud Reconstruction Framework for FHWA axle-based Classification using Roadside LiDAR Sensor1574711029.9%
3tt6050jIntegration of Weigh-in-Motion and Inductive Signature Technology for Advanced Truck Monitoring1565210433.3%
59m3d34vIncident Characteristics, Frequency, and Duration on a High Volume Urban Freeway1534111226.8%
68b3g336Lidar Based Reconstruction framework for Truck Surveillance152569636.8%
05f2c38kGreenhouse Gas Emissions and Australian Commuters' Attitudes and Behaviour Concerning Abatement Policies and Personal Involvement149509933.6%
2px765z4A Discrete Choice Model for Ordered Alternatives1493911026.2%
44z2t7pmTravelBehavior.com: Activity Approaches to Modeling the Effects of Information on Personal Travel Behavior1493511423.5%
35q3s252Performance Indicators for Transit Management1484110727.7%
6nh3h8pxA Disaggregate Model of Auto-Type Choice148628641.9%
1rj5r3z0Can HOT Lanes Encourage Carpooling? A Case Study of Carpooling Behavior on the 91 Express Lanes1473910826.5%
00n2h30cAn Analysis of PM and NOx Train Emissions in the Alameda Corridor, CA.1463511124.0%
1hx0k62fSan Diego's I-15 Congestion Pricing Project: Preliminary Findings1464110528.1%
8xz102r3Stochastic Dynamic Itinerary Interception Refueling Location Problem with Queue Delay for Electric Taxi Charging Stations145628342.8%
2qc2f7zxSafety of Freeway Median High Occupancy Vehicle Lanes: A Comparison of Aggregate and Disaggregate Analyses144469831.9%
46s54575Economic and Occupational Causes of Transit Operator Absenteeism: A Review of Research143548937.8%
03d1f32sTraffic Conditions and Truck Accidents on Urban Freeways140429830.0%

Note: Due to the evolving nature of web traffic, the data presented here should be considered approximate and subject to revision. Learn more.