Research Reports
Parent: Safe Transportation Research & Education Center
eScholarship stats: Breakdown by Item for September through December, 2024
| Item | Title | Total requests | Download | View-only | %Dnld |
|---|---|---|---|---|---|
| 64h2s9cj | Evaluate the Safety Effects of Adopting a Stop-as-Yield Law for Cyclists in California | 439 | 74 | 365 | 16.9% |
| 01t1w86c | Safe Routes for Older Adults | 157 | 20 | 137 | 12.7% |
| 0jq5h6f5 | Evaluating Research on Data Linkage to Assess Underreporting of Pedestrian and Bicyclist Injury in Police Crash Data | 108 | 15 | 93 | 13.9% |
| 5455454c | Safe Routes to School Safety and Mobility Analysis | 96 | 17 | 79 | 17.7% |
| 57s5214g | A Comparative Analysis of Pedestrian and Bicyclist Safety Around University Campuses | 94 | 37 | 57 | 39.4% |
| 3fh5q4dk | Oakland Chinatown Pedestrian Scramble: An Evaluation | 85 | 6 | 79 | 7.1% |
| 2n83w1q8 | Effectiveness of a Commercially Available Automated Pedestrian Counting Device in Urban Environments: Comparison with Manual Counts | 76 | 14 | 62 | 18.4% |
| 8qz8m4fz | Space Syntax: The Role of Urban Form in Cyclist Route Choice in Central London | 63 | 16 | 47 | 25.4% |
| 1h52s226 | Driver/Pedestrian Understanding and Behavior at Marked and Unmarked Crosswalks | 57 | 19 | 38 | 33.3% |
| 8p7283gg | Assessing and Addressing the Mobility Needs of an Aging Population | 56 | 15 | 41 | 26.8% |
| 0c00b1j2 | Factors Associated with Hit-and-Run Pedestrian Fatalities and Driver Identification | 54 | 32 | 22 | 59.3% |
| 0p27154n | Estimating Pedestrian Accident Exposure: Automated Pedestrian Counting Devices Report | 53 | 21 | 32 | 39.6% |
| 88w8b8g3 | False Alarms and Human-Machine Warning Systems | 53 | 4 | 49 | 7.5% |
| 3zn9f4cr | Effects of Weather Variables on Pedestrian Volumes in Alameda County, California | 51 | 14 | 37 | 27.5% |
| 50m064zp | Space Syntax: An Innovative Pedestrian Volume Modeling Tool for Pedestrian Safety | 51 | 5 | 46 | 9.8% |
| 6n00x12d | Evaluation of Injury Severity Updates in California Collision Data | 46 | 0 | 46 | 0.0% |
| 8m59g6vx | Ten Years Later: Examining the Long-Term Impact of the California Safe Routes to School Program | 46 | 5 | 41 | 10.9% |
| 1m07078c | Traffic Safety in Communities of Color | 45 | 21 | 24 | 46.7% |
| 3qd7k0bv | Influential Factors on Level of Injury in Pedestrian Crashes: Applications of Ordered Probit Model with Robust Standard Errors | 44 | 8 | 36 | 18.2% |
| 47t386cn | Gap acceptance for vehicles turning left across on-coming traffic: Implications for Intersection Decision Support design | 44 | 6 | 38 | 13.6% |
| 0201j0v2 | Intersection Decision Support Project: Taxonomy of Crossing-Path Crashes at Intersections Using GES 2000 Data | 43 | 5 | 38 | 11.6% |
| 7j88g29j | Pre-Intervention Assessment: UC Davis Medical Center and California Health Care Safety Net Institute Child Passenger Safety Initiative | 42 | 2 | 40 | 4.8% |
| 89r2j4p5 | Pedestrian and Bicycle Safety Evaluation for the City of Emeryville at Four Intersections | 42 | 7 | 35 | 16.7% |
| 61n3s4zr | Pedestrian Volume Modeling for Traffic Safety and Exposure Analysis: The Case of Boston, Massachusetts | 41 | 10 | 31 | 24.4% |
| 1fx5g427 | Traffic Safety Among Latino Populations in California: Current Status and Policy Recommendations | 40 | 11 | 29 | 27.5% |
| 37m6x95t | Safe Routes to School Local School Project: A health evaluation at 10 low-income schools | 39 | 4 | 35 | 10.3% |
| 7280d52g | Rural Road Links: A Review on Current Research Projects & Initiatives Aimed at Reducing Vehicle Crash Fatalities on Rural Roads | 39 | 3 | 36 | 7.7% |
| 0d48w4gz | Association between Roadway Intersection Characteristics and Pedestrian Crash Risk in Alameda County, California | 38 | 24 | 14 | 63.2% |
| 2g612244 | Health Impacts of the School Commute | 38 | 4 | 34 | 10.5% |
| 11q5p33w | Guidebook on Pedestrian and Bicycle Volume Data Collection | 37 | 23 | 14 | 62.2% |
| 208349wf | Pedestrian Counting Methods at Intersections: a Comparative Study | 36 | 11 | 25 | 30.6% |
| 2nc3v9b0 | Pedestrian and Bicycle Safety Strategies for UC Berkeley Campus and Periphery: Recommendations for Implementation | 36 | 7 | 29 | 19.4% |
| 5kn520zb | San Francisco PedSafe II Project Outcomes and Lessons Learned | 36 | 19 | 17 | 52.8% |
| 8978m2pn | Prehospital Response Time and Traumatic Injury—A Review | 35 | 4 | 31 | 11.4% |
| 0077b2vr | Safety and Other Impacts of Vehicle Impound Enforcement | 34 | 19 | 15 | 55.9% |
| 5ss288j8 | Identifying Factors that Determine Bicyclist and Pedestrian-Involved Collision Rates and Bicyclist and Pedestrian Demand at Multi-Lane Roundabouts | 34 | 8 | 26 | 23.5% |
| 1cm7z3rd | Safety Performance of High-Occupancy Vehicle (HOV) Facilities: Evaluation of HOV Lane Configurations in California | 31 | 11 | 20 | 35.5% |
| 8kb9s9wt | The Impact of COVID-19 on the Mobility Needs of an Aging Population in Contra Costa County | 31 | 3 | 28 | 9.7% |
| 9cn8d3nq | Pedestrian Volume Modeling for Traffic Safety and Exposure Analysis: | 31 | 6 | 25 | 19.4% |
| 38v7z45z | Pedestrian and Bicyclist Safety Effects of the California Safe Routes to School Program | 30 | 2 | 28 | 6.7% |
| 3ff0c55z | Collaboration Math: Enhancing the Effectiveness of Multidisciplinary Collaboration | 29 | 2 | 27 | 6.9% |
| 7xn8m790 | Driver/Pedestrian Understanding and Behavior at Marked and Unmarked Crosswalks | 29 | 1 | 28 | 3.4% |
| 33d7m0h1 | Automated Assessment of Safety-Critical Dynamics in Multi-modal Transportation Systems | 28 | 3 | 25 | 10.7% |
| 3nr8h66j | A Pilot Model for Estimating Pedestrian Intersection Crossing Volumes | 28 | 19 | 9 | 67.9% |
| 06w1b608 | Cost-Effectiveness of Traffic Safety Interventions in the United States | 27 | 5 | 22 | 18.5% |
| 10d0x1z7 | Dynamic Programming-based Pedestrian Hotspot Identification Approach | 27 | 6 | 21 | 22.2% |
| 9h03t6t7 | A Review of ITS-Based Pedestrian Injury Countermeasures | 27 | 5 | 22 | 18.5% |
| 01p1d923 | Evaluation of Traffic and Environment Effects on Skid Resistance in California | 26 | 8 | 18 | 30.8% |
| 61k2k9bz | Evaluation of Countermeasures: A Study on the Effect of Impactable Yield Signs Installed at Intersections in San Francisco | 26 | 5 | 21 | 19.2% |
| 8j8685jt | Estimating Pedestrian Accident Exposure: Protocol Report | 26 | 13 | 13 | 50.0% |
Note: Due to the evolving nature of web traffic, the data presented here should be considered approximate and subject to revision. Learn more.