UC Irvine Institute of Transportation Studies
Parent: UC Irvine
eScholarship stats: Breakdown by Item for March through June, 2025
Item | Title | Total requests | Download | View-only | %Dnld |
---|---|---|---|---|---|
7j0003j0 | The Four Step Model | 696 | 206 | 490 | 29.6% |
0r75311t | The Four Step Model | 425 | 61 | 364 | 14.4% |
32v3x9mw | Job Access, Agency Cost, and VMT Impacts of Offering Microtransit alongside Fixed-route Transit | 404 | 51 | 353 | 12.6% |
2hr1k5s0 | Measuring Traffic Congestion | 351 | 81 | 270 | 23.1% |
49x4t5cg | Application of Pattern Recognition Theory to Activity Pattern Analysis | 307 | 4 | 303 | 1.3% |
5j43q8mj | The Use of Alternative Specific Constants in Choice Modeling | 241 | 13 | 228 | 5.4% |
8z22q4tj | Assessing the Charging-as-a-Service (CaaS) Model for EV Charging Deployment in California | 238 | 54 | 184 | 22.7% |
98x6z26j | Benefits, Challenges, and Opportunities of Different Last-Mile Delivery Strategies | 220 | 63 | 157 | 28.6% |
86h7f5v0 | The Activity-Based Approach | 194 | 42 | 152 | 21.6% |
94c6r9fr | The Activity-Based Approach | 182 | 32 | 150 | 17.6% |
9g8265fz | The Demand for Transportation: Models and Applications | 179 | 28 | 151 | 15.6% |
3qn422qg | Assessing the Potential for Densification and VMT Reduction in Areas Without Rail Transit Access | 176 | 55 | 121 | 31.3% |
7w59p200 | TravelBehavior.com: Activity Approaches to Modeling the Effects of Information Technology on Personal Travel | 164 | 139 | 25 | 84.8% |
6091s9tg | The Four Step Model | 163 | 16 | 147 | 9.8% |
19m6d5m4 | Evaluation of 1984 Los Angeles Summer Olympics Traffic Management | 151 | 11 | 140 | 7.3% |
8d2186s7 | A Real-Time Algorithm to Solve the Peer-to-Peer Ride-MatchingProblem in a Flexible Ridesharing System | 144 | 27 | 117 | 18.8% |
0jh1b6t4 | Risk Assessment for Security Threats and Vulnerabilities of Autonomous Vehicles | 137 | 18 | 119 | 13.1% |
2sf928j3 | A Choice Experiment Survey of Drayage Fleet Operator Preferences for Zero-Emission Trucks | 132 | 18 | 114 | 13.6% |
5nd209mw | New Insights from Satellite Data Show the Impact Trucks are Having on Communities in Southern California | 121 | 14 | 107 | 11.6% |
5cf1w75g | Charging Infrastructure Decisions by Heavy-duty Vehicle Fleet Operators: An Exploratory Analysis | 119 | 15 | 104 | 12.6% |
71p437vf | Charging-as-a-Service is anInnovative Business Model that Could Help with California’s Vehicle Electrification Goals | 110 | 16 | 94 | 14.5% |
9sp782jj | Telecommuting and the Open Future | 110 | 23 | 87 | 20.9% |
3km8b4jw | Decline of Rail Transit Requires New Strategies | 107 | 23 | 84 | 21.5% |
54r2h8d2 | What Matters Most to Drayage Companies When Considering a Zero-Emission Truck: Insights from Small and Large Fleet Operators | 104 | 13 | 91 | 12.5% |
3vp8940q | Economic Impacts of the Northridge Earthquake's Transportation Damage: Results from a Survey of Firms | 101 | 6 | 95 | 5.9% |
8xr9q9gt | Objective and Subjective Dimensions of Travel Impedance as Determinants of Commuting Stress | 101 | 27 | 74 | 26.7% |
5ts7t9hv | Rational Response to Irrational Attitudes: The Level of the Gasoline Tax in the United States | 97 | 13 | 84 | 13.4% |
60t9p45b | Integrating Microtransit Service with Traditional Fixed-Route Transit Costs More but Greatly Improves Access to Jobs | 96 | 15 | 81 | 15.6% |
4j19d5p1 | Resiliency Impacts of Plug-in Electric Vehicles in a Smart Grid | 95 | 13 | 82 | 13.7% |
1rj5r3z0 | Can HOT Lanes Encourage Carpooling? A Case Study of Carpooling Behavior on the 91 Express Lanes | 94 | 5 | 89 | 5.3% |
5d21591k | A Review of Reduced and Free Transit Fare Programs in California | 94 | 7 | 87 | 7.4% |
1724d53z | Navigating the Shift: Critical Insights of California Fleet Operators into Zero-Emission Technologies | 93 | 13 | 80 | 14.0% |
6mz5n6h3 | Transport Pricing Policies and Emerging Mobility Innovations | 93 | 6 | 87 | 6.5% |
7932w9xf | Accessibility, Affordability, and the Allocation of Housing Targets to California’s Local Governments | 91 | 15 | 76 | 16.5% |
3k6453wg | A Comparison of Time-use for Telecommuters, Potential Telecommuters, and Commuters during the COVID-19 Pandemic | 90 | 12 | 78 | 13.3% |
71c5248r | Modeling and Analyzing Cost Overruns, Delays, and Cancellations in Senate Bill 1 Projects | 90 | 17 | 73 | 18.9% |
2x39p8ds | Factors Affecting Development Decisions and Construction Delay of Housing in Transit-Accessible and Jobs-Rich Areas in California | 89 | 18 | 71 | 20.2% |
354750t4 | Estimation of Vehicular Emissions by Capturing Traffic Variations | 89 | 19 | 70 | 21.3% |
15d720k1 | What Challenges Can Arise from Coordinating Housing Development with Transportation? | 88 | 28 | 60 | 31.8% |
0js6k8tc | Will COVID-19 Worsen California’s Truck Driver Shortage? | 87 | 7 | 80 | 8.0% |
5417r5t2 | Travel-Time Uncertainty, Departure Time Choice, and the Cost of the Morning Commute | 86 | 17 | 69 | 19.8% |
6s76c61b | A Review of SB 1 Project Performance: Cost Overruns, Schedule Delays, and Cancellations | 85 | 11 | 74 | 12.9% |
4qv7r7xf | How Risky Are Cyber Security Threats Against Autonomous Vehicles? | 84 | 11 | 73 | 13.1% |
2zg0j6dd | Did COVID-19 Fundamentally Reshape Telecommuting in California? | 83 | 7 | 76 | 8.4% |
37g3340n | Can Green Hydrogen Be a Cost Competitive Transportation Fuel by 2030? | 83 | 12 | 71 | 14.5% |
5dz6b7tj | What are the Public Health and Environmental Implications of Drayage Truck Electrification Targets in California? | 83 | 10 | 73 | 12.0% |
9770p8b2 | The Direct and Indirect Economic Effects of Transportation Infrastructure | 83 | 8 | 75 | 9.6% |
7rb0h6gd | Why Do People Drive to Shop? Future Travel and Telecommunications Tradeoffs | 82 | 6 | 76 | 7.3% |
2jf86859 | Vehicle Point Cloud Reconstruction Framework for FHWA axle-based Classification using Roadside LiDAR Sensor | 78 | 11 | 67 | 14.1% |
0hg3x790 | Improved California Truck Traffic Census Reporting and Spatial Activity Measurement | 75 | 6 | 69 | 8.0% |
Note: Due to the evolving nature of web traffic, the data presented here should be considered approximate and subject to revision. Learn more.