UC Berkeley Center for Future Urban Transport: A Volvo Center of Excellence
Parent: Institute of Transportation Studies at UC Berkeley
eScholarship stats: Breakdown by Item for April through July, 2024
| Item | Title | Total requests | Download | View-only | %Dnld |
|---|---|---|---|---|---|
| 6jx3k35x | Rail + Property Development: A model of sustainable transit finance and urbanism | 259 | 53 | 206 | 20.5% |
| 5670921q | Environmental Life-cycle Assessment of Passenger Transportation: A Detailed Methodology for Energy, Greenhouse Gas and Criteria Pollutant Inventories of Automobiles, Buses, Light Rail, Heavy Rail and Air v.2 | 234 | 60 | 174 | 25.6% |
| 27g2q0cx | Accessible Cities and Regions: A Framework for Sustainable Transport and Urbanism in the 21st Century | 157 | 105 | 52 | 66.9% |
| 4px4n55x | Bus Rapid Transit Impacts on Land Uses and Land Values in Seoul, Korea | 150 | 44 | 106 | 29.3% |
| 20q8993s | Toward Green TODs | 140 | 39 | 101 | 27.9% |
| 8bn7v9jm | Electric Bike Use in China and Their Impacts on the Environment, Safety, Mobility and Accessibility | 140 | 22 | 118 | 15.7% |
| 71v7m90b | Urban Development on Railway-Served Land: Lessons and Opportunities for the Developing World | 138 | 72 | 66 | 52.2% |
| 3mb598qr | Urban Densities and Transit: A Multi-dimensional Perspective | 134 | 25 | 109 | 18.7% |
| 0sd42014 | Evaluation of Traffic Data Obtained via GPS-Enabled Mobile Phones: the Mobile Century Field Experiment | 125 | 44 | 81 | 35.2% |
| 6dv195p7 | Multimodal Transport Modeling for Nairobi, Kenya: Insights and Recommendations with an Evidence-Based Model | 107 | 29 | 78 | 27.1% |
| 6z37f2jr | Life-cycle Energy and Emissions Inventories for Motorcycles, Diesel Automobiles, School Buses, Electric Buses, Chicago Rail, and New York City Rail | 94 | 26 | 68 | 27.7% |
| 4x89p485 | A Review of Green Logistics Schemes Used in Cities Around the World | 90 | 23 | 67 | 25.6% |
| 4cb8h3jm | An analytical approximation for the macropscopic fundamental diagram of urban traffic | 87 | 61 | 26 | 70.1% |
| 5bz4s1n3 | Environmental Life-cycle Assessment of Passenger Transportation: A Detailed Methodology for Energy, Greenhouse Gas and Criteria Pollutant Inventories of Automobiles, Buses, Light Rail, Heavy Rail and Air | 78 | 16 | 62 | 20.5% |
| 7m21d806 | The Environmental Impacts of Logistics Systems and Options for Mitigation | 70 | 16 | 54 | 22.9% |
| 1fx5m1ph | China's Urban Transportation System: Issues and Policies Facing Cities | 67 | 6 | 61 | 9.0% |
| 0dk1s0q5 | Residential Relocation and Commuting Behavior in Shanghai, China: The Case for Transit Oriented Development | 59 | 9 | 50 | 15.3% |
| 0551g0zw | Reducing bunching with bus-to-bus cooperation | 56 | 20 | 36 | 35.7% |
| 4zg3b4d6 | The Environmental Impacts of Electric Bikes in Chinese Cities | 51 | 17 | 34 | 33.3% |
| 39q7w812 | Direct Ridership Model of Bus Rapid Transit in Los Angeles County | 50 | 14 | 36 | 28.0% |
| 17s3b266 | Structure of Competitive Transit Networks | 47 | 28 | 19 | 59.6% |
| 5bd8g77m | Unintended environmental impacts of nighttime freight logistics activities | 41 | 28 | 13 | 68.3% |
| 7hk8d77b | City-Scale Transport Modeling: An Approach for Nairobi, Kenya | 37 | 17 | 20 | 45.9% |
| 8gz4t0g2 | Advancing Bus Rapid Transit and Transit Oriented Corridorsin California’s Central Valley | 36 | 7 | 29 | 19.4% |
| 0ft1z2ps | Morning Commute with Competing Modes and DistributedDemand: User Equilibrium, System Optimum, and Pricing | 35 | 14 | 21 | 40.0% |
| 90j398zb | Effects of HOV Lanes on Freeway Bottlenecks | 35 | 20 | 15 | 57.1% |
| 61v1r1qq | On the Variational Theory of Traffic Flow: Well-Posedness, Duality and Applications | 31 | 5 | 26 | 16.1% |
| 6kg0d8ds | Exploring the Effect of Turning Maneuvers and Route Choice ona Simple Network | 31 | 6 | 25 | 19.4% |
| 44k8p47h | On the perceptibility of safety systems | 30 | 10 | 20 | 33.3% |
| 577170v2 | On the Design of Public Infrastructure Systems with ElasticDemand | 30 | 11 | 19 | 36.7% |
| 6fk4s29c | The Smoothing Effect of Carpool Lanes on Freeway Bottlenecks | 30 | 19 | 11 | 63.3% |
| 4vf597r5 | On the Stability of Freeway Traffic | 29 | 11 | 18 | 37.9% |
| 81r021w2 | From Elevated Freeway to Linear Park: Land Price Impacts of Seoul, Korea's CGC Project | 29 | 7 | 22 | 24.1% |
| 5sj7r3c7 | Structure of Competitive Transit Networks | 28 | 11 | 17 | 39.3% |
| 7w6232wq | Improving City Mobility through Gridlock Control: an Approach and Some Ideas | 28 | 11 | 17 | 39.3% |
| 7881w553 | Bus Lanes with Intermittent Priority: Screening Formulae and an Evaluation | 27 | 7 | 20 | 25.9% |
| 2rq792j1 | Existence of urban-scale macroscopic fundamental diagrams: Some experimental findings | 25 | 11 | 14 | 44.0% |
| 1jf6v73z | Unintended Impacts of Increased Truck Loads on Pavement Supply-chain Emissions | 24 | 14 | 10 | 58.3% |
| 75d4j8fm | Managing Evacuation Routes | 24 | 16 | 8 | 66.7% |
| 0dd859tf | Dual Influences on Vehicle Speeds in Special-Use Lanes and Policy Implications | 23 | 4 | 19 | 17.4% |
| 0dp1d400 | Strategies for Mitigating Impacts of Near-Side Bus Stops on Cars | 23 | 8 | 15 | 34.8% |
| 0jp7c8k8 | A Dynamic Holding Strategy to Improve Bus ScheduleReliability and Commercial Speed | 23 | 8 | 15 | 34.8% |
| 7qd590bv | Macroscopic Relations of Urban Traffic Variables: An Analysis of Instability | 22 | 10 | 12 | 45.5% |
| 4fn4v7p0 | Allocating city space to multiple transportation modes: A new modeling approach consistent with the physics of transport | 21 | 7 | 14 | 33.3% |
| 9ff3q0c0 | CHAL - Control logic / Hardware Abstraction layer | 21 | 4 | 17 | 19.0% |
| 0rj7h9tn | Innovative Bus-Lane Deployments in Amman: Proposed Field Experiments | 20 | 3 | 17 | 15.0% |
| 6c69j2vv | Spatiotemporal Effects of Segregating Different Vehicle Classes on Separate Lanes | 20 | 7 | 13 | 35.0% |
| 84n1q2h2 | Modular Composition of Synchronous Programs: Applications to Traffic Signal Control | 20 | 9 | 11 | 45.0% |
| 39b0j75n | Use Characteristics and Mode Choice Behavior of Electric Bikes in China | 19 | 3 | 16 | 15.8% |
| 2x98k1x2 | Clockwise Hysteresis Loops in the MacroscopicFundamental Diagram | 18 | 5 | 13 | 27.8% |
Disclaimer: due to the evolving nature of the web traffic we receive and the methods we use to collate it, the data presented here should be considered approximate and subject to revision.