Dissertations
Parent: University of California Transportation Center
eScholarship stats: Breakdown by Item for March through June, 2025
| Item | Title | Total requests | Download | View-only | %Dnld |
|---|---|---|---|---|---|
| 23d3c7kx | The Institution of Infrastructure and the Development of Port-Regions | 162 | 28 | 134 | 17.3% |
| 06v2g6dh | Understanding Sustainable Transportation Choices: Shifting Routine Automobile Travel to Walking and Bicycling | 129 | 49 | 80 | 38.0% |
| 17r4d88f | Zero-Emission Vehicle Scenario Cost Analysis Using A Fuzzy Set-Based Framework | 111 | 32 | 79 | 28.8% |
| 88t7k9p5 | The New Suburbs: Evolving travel behavior, the built environment, and subway investments in Mexico City | 106 | 37 | 69 | 34.9% |
| 936337w5 | The Rapid Rise of Middle-Class Vehicle Ownership in Mumbai | 100 | 23 | 77 | 23.0% |
| 4b75k2nf | Insuring the City: The Prudential Center and the Reshaping of Boston | 96 | 47 | 49 | 49.0% |
| 1tf5v738 | Examining the Cycle: How Perceived and Actual Bicycling Risk Influence Cylcing Frequency, Roadway Design Preferences, and Support for Cycling Among Bay Area Residents | 95 | 16 | 79 | 16.8% |
| 0ct7c30p | Defining, Measuring, and Evaluating Path Walkability, and Testing Its Impacts on Transit Users’ Mode Choice and Walking Distance to the Station | 87 | 16 | 71 | 18.4% |
| 4hf3b46g | The New Suburbs: Evolving travel behavior, the built environment, and subway investment in Mexico City | 87 | 16 | 71 | 18.4% |
| 6ct7x8hp | Examining the Cycle: How Perceived and Actual Bicycling Risk Influence Cycling Frequency, Roadway Design Preferences, and Support for Cycling Among Bay Area Residents | 81 | 14 | 67 | 17.3% |
| 2k44c9tx | Real-time Inter-modal Strategies for Airline Schedule Perturbation Recovery and Airport Congestion Mitigation under Collaborative Decision Making (CDM) | 79 | 11 | 68 | 13.9% |
| 6cc6478q | When Finance Leads Planning: The Influence of Public Finance on Transportation Planning and Policy in California | 73 | 36 | 37 | 49.3% |
| 06x0k5r4 | A Utility-Theory-Consistem System-of-Demand-Equations Approach to Household Travel Choice | 71 | 4 | 67 | 5.6% |
| 0cm3b1gq | Integration Of Locational Decisions with the Household Activity Pattern Problem and Its Applications in Transportation Sustainability | 70 | 8 | 62 | 11.4% |
| 92x23786 | Commercial Vehicle Classification System using Advanced Inductive Loop Technology | 67 | 30 | 37 | 44.8% |
| 0tx230gc | Exploring the Localization of Transportation Planning: Essays on research and policy implications from shifting goals in transportation planning | 65 | 24 | 41 | 36.9% |
| 7sn272sc | Essays on Urban Transportation and Transportation Energy Policy | 65 | 5 | 60 | 7.7% |
| 7014d9cg | The Personal City: The Experiential, Cognitive Nature of Travel and Activity and Implications for Accessibility | 63 | 12 | 51 | 19.0% |
| 7ng2z24q | Incorporating the Influence of Latent Modal Preferences in Travel Demand Models | 63 | 21 | 42 | 33.3% |
| 6zc5j8xg | An Approach to Reducing Bus Bunching | 61 | 21 | 40 | 34.4% |
| 19034785 | The Transit-Oriented Global Centers for Competitiveness and Livability: State Strategies and Market Responses in Asia | 60 | 18 | 42 | 30.0% |
| 67d5w48s | The Personal City: The Experimental, Cognitive Nature of Travel and Activity and Implications for Accessibility | 59 | 11 | 48 | 18.6% |
| 3sb124zz | Integration of Locational Decisions with the Household Activity Pattern Problem and Its Applications in Transportation Sustainability | 57 | 20 | 37 | 35.1% |
| 7nq9p0cv | Incorporating the Influence of Latent Modal Preferences in Travel Demand Models | 57 | 9 | 48 | 15.8% |
| 2w49616b | Planners and the Pork Barrel: Metropolitan Engagement in and Resistance to Congressional Transportation Earmarking | 56 | 28 | 28 | 50.0% |
| 4913331c | Activity-based Travel Demand Model with Time-use and Microsimulation incorporating Intra-household Interactions | 55 | 12 | 43 | 21.8% |
| 5vw10860 | Evaluating the Impact of Neighborhood Trail Development on Active Travel Behavior and Overall Physical Activity | 55 | 24 | 31 | 43.6% |
| 0rj9z9cv | The Effect of Unreliable Commuting Time on Commuter Preferences | 53 | 4 | 49 | 7.5% |
| 1tn1m968 | Asymmetric Microscopic Driving Behavior Theory | 52 | 15 | 37 | 28.8% |
| 2w55c9gs | Transportation and the Environment: Essays on Technology, Infrastructure, and Policy | 51 | 8 | 43 | 15.7% |
| 49r880kj | User adaptation to injury protection systems: its effect on fatalities, and possible causes | 51 | 4 | 47 | 7.8% |
| 07x7h9pg | Allocation of Space and the Costs of Multimodal Transport in Cities | 46 | 6 | 40 | 13.0% |
| 3kj790ws | Mobile and Stationary Computer Vision based Traffic Surveillance Techniques for Advanced ITS Applications | 45 | 10 | 35 | 22.2% |
| 9pp8j3km | The Role of Geography in Social Networks: CouchSurfing as a Case Study | 44 | 10 | 34 | 22.7% |
| 8xk3c9z7 | Transit, Density, and Residential Satisfaction | 42 | 8 | 34 | 19.0% |
| 1hd7c0dv | Self-Organizing and Optimal Control for Nonlinear Systems | 40 | 5 | 35 | 12.5% |
| 40p4m581 | Essays on Congestion Economics | 39 | 2 | 37 | 5.1% |
| 9gs0t2f9 | Reliable GPS Integer Ambiguity Resolution | 39 | 6 | 33 | 15.4% |
| 69m1s4gt | On Whom the Toll Falls: A Model of Network Financing | 38 | 11 | 27 | 28.9% |
| 85c2r37x | An Analysis of the Spatial Determinants and Long-Term Consequences of Youth Joblessness | 37 | 8 | 29 | 21.6% |
| 5730f1d2 | Network Design Formulations, Modeling, and Solution Algorithms for Goods Movement Strategic Planning | 36 | 17 | 19 | 47.2% |
| 5257005q | Managing City Evacuations | 35 | 1 | 34 | 2.9% |
| 5z99p647 | Fairness or Favoritism? Geographic Redistribution and Fiscal Equalization Resulting from Transportation Funding Formulas | 35 | 7 | 28 | 20.0% |
| 4ph4688x | An Activity-Based Trip Generation Model | 34 | 6 | 28 | 17.6% |
| 5gd206wv | New Vehicle Choice, Fuel Economy and Vehicle Incentives: An Analysis of Hybrid Tax Credits and the Gasoline Tax | 33 | 16 | 17 | 48.5% |
| 5zr22745 | Presenting Accessibility to Mobility-Impaired Travelers | 33 | 9 | 24 | 27.3% |
| 6hz4b9xj | Unraveling the Complexity of Land Use and Travel Behavior Relationships: A Four-Part Quantitative Case Study of the South Bay Area of Los Angeles | 31 | 3 | 28 | 9.7% |
| 8d72371n | Design and Development of Novel Routing Methodologies for Dynamic Roadway Navigation Systems | 31 | 6 | 25 | 19.4% |
| 4nd315bv | Spatial Models of Morning Commute Consistent with Realistic Traffic Behavior | 29 | 3 | 26 | 10.3% |
| 6dv0z95g | The Ethical Challenges and Professional Responses of Travel Demand Forecasters | 25 | 8 | 17 | 32.0% |
Note: Due to the evolving nature of web traffic, the data presented here should be considered approximate and subject to revision. Learn more.