Research Reports
Parent: Safe Transportation Research & Education Center
eScholarship stats: Breakdown by Item for May through August, 2026
| Item | Title | Total requests | Download | View-only | %Dnld |
|---|---|---|---|---|---|
| 4x06k8ww | Jaywalking in California: History, Pedestrian Safety Trends, Law Enforcement Patterns, and Decriminalization Legislation | 597 | 322 | 275 | 53.9% |
| 11q5p33w | Guidebook on Pedestrian and Bicycle Volume Data Collection | 577 | 365 | 212 | 63.3% |
| 57s5214g | A Comparative Analysis of Pedestrian and Bicyclist Safety Around University Campuses | 369 | 238 | 131 | 64.5% |
| 7xn8m790 | Driver/Pedestrian Understanding and Behavior at Marked and Unmarked Crosswalks | 332 | 202 | 130 | 60.8% |
| 0jq5h6f5 | Evaluating Research on Data Linkage to Assess Underreporting of Pedestrian and Bicyclist Injury in Police Crash Data | 313 | 66 | 247 | 21.1% |
| 6n00x12d | Evaluation of Injury Severity Updates in California Collision Data | 313 | 55 | 258 | 17.6% |
| 2nc3v9b0 | Pedestrian and Bicycle Safety Strategies for UC Berkeley Campus and Periphery: Recommendations for Implementation | 312 | 213 | 99 | 68.3% |
| 8p7283gg | Assessing and Addressing the Mobility Needs of an Aging Population | 304 | 60 | 244 | 19.7% |
| 38z4d12n | Building a Highway Linear Referencing System from Preexisting Reference Marker Measurements for Transportation Data Management | 302 | 66 | 236 | 21.9% |
| 6gd9s0bf | Creating an Inclusive Bicycle Level of Service: Virtual Bicycle Simulator Study | 290 | 77 | 213 | 26.6% |
| 5455454c | Safe Routes to School Safety and Mobility Analysis | 282 | 87 | 195 | 30.9% |
| 64h2s9cj | Evaluate the Safety Effects of Adopting a Stop-as-Yield Law for Cyclists in California | 279 | 98 | 181 | 35.1% |
| 1h52s226 | Driver/Pedestrian Understanding and Behavior at Marked and Unmarked Crosswalks | 277 | 152 | 125 | 54.9% |
| 2n83w1q8 | Effectiveness of a Commercially Available Automated Pedestrian Counting Device in Urban Environments: Comparison with Manual Counts | 275 | 96 | 179 | 34.9% |
| 3fh5q4dk | Oakland Chinatown Pedestrian Scramble: An Evaluation | 255 | 42 | 213 | 16.5% |
| 50m064zp | Space Syntax: An Innovative Pedestrian Volume Modeling Tool for Pedestrian Safety | 242 | 86 | 156 | 35.5% |
| 0d48w4gz | Association between Roadway Intersection Characteristics and Pedestrian Crash Risk in Alameda County, California | 231 | 97 | 134 | 42.0% |
| 0pm0007b | HOV Lane Configurations and Collision Distribution on Freeway Lanes – An Investigation of Historical Collision Data in California | 229 | 108 | 121 | 47.2% |
| 0001n47j | Airports and Bicycles: what are the obstacles and incentives for operators 1 to improve bicycle access? | 227 | 72 | 155 | 31.7% |
| 88w8b8g3 | False Alarms and Human-Machine Warning Systems | 227 | 35 | 192 | 15.4% |
| 16s1p6g6 | Driver Behavior at Rail Crossings: Cost-Effective Improvements to Increase Driver Safety at Public At-Grade Rail-Highway Crossings in California | 224 | 98 | 126 | 43.8% |
| 01t1w86c | Safe Routes for Older Adults | 221 | 82 | 139 | 37.1% |
| 1v9383k9 | Impact of Traffic States on Freeway Collision Frequency | 217 | 132 | 85 | 60.8% |
| 8m59g6vx | Ten Years Later: Examining the Long-Term Impact of the California Safe Routes to School Program | 205 | 43 | 162 | 21.0% |
| 47t386cn | Gap acceptance for vehicles turning left across on-coming traffic: Implications for Intersection Decision Support design | 200 | 48 | 152 | 24.0% |
| 89r2j4p5 | Pedestrian and Bicycle Safety Evaluation for the City of Emeryville at Four Intersections | 200 | 116 | 84 | 58.0% |
| 0c00b1j2 | Factors Associated with Hit-and-Run Pedestrian Fatalities and Driver Identification | 199 | 83 | 116 | 41.7% |
| 0077b2vr | Safety and Other Impacts of Vehicle Impound Enforcement | 194 | 51 | 143 | 26.3% |
| 3nr8h66j | A Pilot Model for Estimating Pedestrian Intersection Crossing Volumes | 192 | 90 | 102 | 46.9% |
| 1cm7z3rd | Safety Performance of High-Occupancy Vehicle (HOV) Facilities: Evaluation of HOV Lane Configurations in California | 189 | 75 | 114 | 39.7% |
| 1m07078c | Traffic Safety in Communities of Color | 189 | 39 | 150 | 20.6% |
| 5fv1r72b | Autonomous Vehicle Safety Performance in Mixed Traffic: Insights from NHTSA Crash Data | 188 | 31 | 157 | 16.5% |
| 8qz8m4fz | Space Syntax: The Role of Urban Form in Cyclist Route Choice in Central London | 187 | 64 | 123 | 34.2% |
| 3zn9f4cr | Effects of Weather Variables on Pedestrian Volumes in Alameda County, California | 182 | 72 | 110 | 39.6% |
| 208349wf | Pedestrian Counting Methods at Intersections: a Comparative Study | 179 | 46 | 133 | 25.7% |
| 24m8j57d | The Continuous Risk Profile Approach for the Identification of High Collision Concentration Locations on Congested Highways | 176 | 72 | 104 | 40.9% |
| 7n02398s | Limitations of Data on Cell Phone Involvement in Collisions: A Case Study of California | 175 | 49 | 126 | 28.0% |
| 7zv7196b | Error Consideration for Geocoding Police Reported Collision Data in California | 175 | 47 | 128 | 26.9% |
| 2c85n5xt | Pedestrian Safety Improvement Program | 168 | 64 | 104 | 38.1% |
| 37m6x95t | Safe Routes to School Local School Project: A health evaluation at 10 low-income schools | 167 | 56 | 111 | 33.5% |
| 3w56v3k7 | What They Don’t Know Can Kill Them | 167 | 57 | 110 | 34.1% |
| 7ng2k4c3 | Prehospital Care of Road Traffic Injuries in Chiang Mai, Thailand | 167 | 42 | 125 | 25.1% |
| 8978m2pn | Prehospital Response Time and Traumatic Injury—A Review | 166 | 32 | 134 | 19.3% |
| 10d0x1z7 | Dynamic Programming-based Pedestrian Hotspot Identification Approach | 165 | 81 | 84 | 49.1% |
| 0201j0v2 | Intersection Decision Support Project: Taxonomy of Crossing-Path Crashes at Intersections Using GES 2000 Data | 163 | 85 | 78 | 52.1% |
| 3qk7z3br | Observational Study of Cell Phone and Texting Use Among California Drivers 2015 and Comparison to 2011 through 2014 Data | 162 | 58 | 104 | 35.8% |
| 8kg5r9w3 | Addressing Inappropriate Driver Behavior at Rail-Highway Crossings | 161 | 77 | 84 | 47.8% |
| 8455h5gq | Gap acceptance for vehicles turning left across on-coming traffic: Implications for Intersection Decision Support design | 160 | 64 | 96 | 40.0% |
| 8kb9s9wt | The Impact of COVID-19 on the Mobility Needs of an Aging Population in Contra Costa County | 159 | 52 | 107 | 32.7% |
| 01p1d923 | Evaluation of Traffic and Environment Effects on Skid Resistance in California | 158 | 63 | 95 | 39.9% |
Note: Due to the evolving nature of web traffic, the data presented here should be considered approximate and subject to revision. Learn more.