Safe Transportation Research & Education Center
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 |
|---|---|---|---|---|---|
| 5455454c | Safe Routes to School Safety and Mobility Analysis | 127 | 25 | 102 | 19.7% |
| 2n83w1q8 | Effectiveness of a Commercially Available Automated Pedestrian Counting Device in Urban Environments: Comparison with Manual Counts | 114 | 33 | 81 | 28.9% |
| 9xg8n6vr | The relative vulnerability index: a framework for evaluating multimodal traffic safety | 109 | 8 | 101 | 7.3% |
| 0jq5h6f5 | Evaluating Research on Data Linkage to Assess Underreporting of Pedestrian and Bicyclist Injury in Police Crash Data | 108 | 14 | 94 | 13.0% |
| 8p7283gg | Assessing and Addressing the Mobility Needs of an Aging Population | 92 | 21 | 71 | 22.8% |
| 3fh5q4dk | Oakland Chinatown Pedestrian Scramble: An Evaluation | 89 | 11 | 78 | 12.4% |
| 4st304h2 | California Traffic Safety Survey 2024: Data Analysis and Comparison with 2010-2023 Survey Data Results | 87 | 19 | 68 | 21.8% |
| 8m59g6vx | Ten Years Later: Examining the Long-Term Impact of the California Safe Routes to School Program | 81 | 11 | 70 | 13.6% |
| 11q5p33w | Guidebook on Pedestrian and Bicycle Volume Data Collection | 69 | 52 | 17 | 75.4% |
| 50m064zp | Space Syntax: An Innovative Pedestrian Volume Modeling Tool for Pedestrian Safety | 69 | 20 | 49 | 29.0% |
| 0077b2vr | Safety and Other Impacts of Vehicle Impound Enforcement | 67 | 35 | 32 | 52.2% |
| 1tm284cm | Missed or Delayed Medical Care Appointments by Older Users of Nonemergency Medical Transportation Services | 66 | 5 | 61 | 7.6% |
| 01t1w86c | Safe Routes for Older Adults | 62 | 17 | 45 | 27.4% |
| 1m07078c | Traffic Safety in Communities of Color | 60 | 25 | 35 | 41.7% |
| 208349wf | Pedestrian Counting Methods at Intersections: a Comparative Study | 59 | 11 | 48 | 18.6% |
| 2g612244 | Health Impacts of the School Commute | 59 | 8 | 51 | 13.6% |
| 0d48w4gz | Association between Roadway Intersection Characteristics and Pedestrian Crash Risk in Alameda County, California | 58 | 30 | 28 | 51.7% |
| 0p27154n | Estimating Pedestrian Accident Exposure: Automated Pedestrian Counting Devices Report | 58 | 30 | 28 | 51.7% |
| 57s5214g | A Comparative Analysis of Pedestrian and Bicyclist Safety Around University Campuses | 58 | 29 | 29 | 50.0% |
| 8978m2pn | Prehospital Response Time and Traumatic Injury—A Review | 58 | 9 | 49 | 15.5% |
| 1h52s226 | Driver/Pedestrian Understanding and Behavior at Marked and Unmarked Crosswalks | 56 | 14 | 42 | 25.0% |
| 1mt047k5 | Cross-Section Designs for the Safety Performance of Buffer-Separated High-Occupancy Vehicle (HOV) lanes | 54 | 12 | 42 | 22.2% |
| 5j4697xf | SafeTREC Seminar 5/1/15: Interventions for Alcohol Related Traffic Injuries and Deaths | 54 | 0 | 54 | 0.0% |
| 5ss288j8 | Identifying Factors that Determine Bicyclist and Pedestrian-Involved Collision Rates and Bicyclist and Pedestrian Demand at Multi-Lane Roundabouts | 54 | 13 | 41 | 24.1% |
| 5kn520zb | San Francisco PedSafe II Project Outcomes and Lessons Learned | 53 | 33 | 20 | 62.3% |
| 9cn8d3nq | Pedestrian Volume Modeling for Traffic Safety and Exposure Analysis: | 52 | 15 | 37 | 28.8% |
| 0c00b1j2 | Factors Associated with Hit-and-Run Pedestrian Fatalities and Driver Identification | 50 | 26 | 24 | 52.0% |
| 6n00x12d | Evaluation of Injury Severity Updates in California Collision Data | 50 | 3 | 47 | 6.0% |
| 8qz8m4fz | Space Syntax: The Role of Urban Form in Cyclist Route Choice in Central London | 50 | 22 | 28 | 44.0% |
| 02b2012z | Property Damage Crash Equivalency Factors for Solving the Crash Frequency-Severity Dilemma: Case Study on South Korean Rural Roads | 48 | 32 | 16 | 66.7% |
| 38z4d12n | Building a Highway Linear Referencing System from Preexisting Reference Marker Measurements for Transportation Data Management | 48 | 6 | 42 | 12.5% |
| 61n3s4zr | Pedestrian Volume Modeling for Traffic Safety and Exposure Analysis: The Case of Boston, Massachusetts | 48 | 14 | 34 | 29.2% |
| 8cs2g40c | Development and Application of the San Francisco Pedestrian Intersection Volume Model | 48 | 11 | 37 | 22.9% |
| 3zn9f4cr | Effects of Weather Variables on Pedestrian Volumes in Alameda County, California | 47 | 24 | 23 | 51.1% |
| 5q3317ch | Mobility Safety for California’s Affordable Housing Residents: Co-locating Improvements | 46 | 6 | 40 | 13.0% |
| 8kb9s9wt | The Impact of COVID-19 on the Mobility Needs of an Aging Population in Contra Costa County | 46 | 7 | 39 | 15.2% |
| 88w8b8g3 | False Alarms and Human-Machine Warning Systems | 44 | 4 | 40 | 9.1% |
| 9qg3s59b | Roadway and Infrastructure Design and Its Relation to Pedestrian and Bicycle Safety: Basic Principles, Applications, and Benefits | 44 | 6 | 38 | 13.6% |
| 9vn6j0x3 | Low Cost Upgrades to At-Grade Crossing Safety Devices | 44 | 14 | 30 | 31.8% |
| 1fx5g427 | Traffic Safety Among Latino Populations in California: Current Status and Policy Recommendations | 42 | 5 | 37 | 11.9% |
| 3nr8h66j | A Pilot Model for Estimating Pedestrian Intersection Crossing Volumes | 42 | 22 | 20 | 52.4% |
| 47t386cn | Gap acceptance for vehicles turning left across on-coming traffic: Implications for | 42 | 8 | 34 | 19.0% |
| 3qd7k0bv | Influential Factors on Level of Injury in Pedestrian Crashes: Applications of Ordered Probit Model with Robust Standard Errors | 41 | 11 | 30 | 26.8% |
| 8q9021rc | A Database for Active Transportation Infrastructure and Volume | 41 | 23 | 18 | 56.1% |
| 0001n47j | Airports and Bicycles: what are the obstacles and incentives for operators 1 to improve bicycle access? | 40 | 12 | 28 | 30.0% |
| 1pb9v7xq | How Common is Pedestrian Travel To, From, and Within Shopping Districts? | 40 | 13 | 27 | 32.5% |
| 2nc3v9b0 | Pedestrian and Bicycle Safety Strategies for UC Berkeley Campus and Periphery: Recommendations for Implementation | 40 | 13 | 27 | 32.5% |
| 46n9669d | Assessing the Variation of Curbside Safety at the City Block Level | 40 | 10 | 30 | 25.0% |
| 33d7m0h1 | Automated Assessment of Safety-Critical Dynamics in Multi-modal Transportation Systems | 39 | 15 | 24 | 38.5% |
| 7xn8m790 | Driver/Pedestrian Understanding and Behavior at Marked and Unmarked Crosswalks | 39 | 5 | 34 | 12.8% |
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.