Statistics for Identifying High-Risk Intersections for Walking and Bicycling Using Multiple Data Sources in the City of San Diego
Total visits
views | |
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Identifying High-Risk Intersections for Walking and Bicycling Using Multiple Data Sources in the City of San Diego | 566 |
Total visits per month
views | |
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May 2024 | 0 |
June 2024 | 0 |
July 2024 | 0 |
August 2024 | 0 |
September 2024 | 0 |
October 2024 | 0 |
November 2024 | 0 |
File Visits
views | |
---|---|
JAT.2019.9072358.pdf | 192 |
JAT.2019.9072358.xml | 23 |
Top country views
views | |
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United States | 481 |
France | 19 |
Germany | 17 |
Sweden | 11 |
China | 9 |
Finland | 6 |
Ireland | 3 |
United Kingdom | 2 |
Hong Kong SAR China | 2 |
Japan | 2 |
South Korea | 2 |
Malaysia | 2 |
South Africa | 2 |
Austria | 1 |
India | 1 |
Kyrgyzstan | 1 |
Poland | 1 |
Qatar | 1 |
Russia | 1 |
Top city views
views | |
---|---|
Ashburn | 220 |
Reston | 188 |
Blacksburg | 6 |
Old Bridge | 5 |
Boardman | 4 |
Brooklyn | 4 |
Dublin | 3 |
Mountain View | 3 |
Bromley | 2 |
Castro Valley | 2 |
Hangzhou | 2 |
San Diego | 2 |
Zhengzhou | 2 |
Andover | 1 |
Balingen | 1 |
Collingswood | 1 |
Columbus | 1 |
Des Moines | 1 |
Doha | 1 |
Durban | 1 |
Johannesburg | 1 |
Karlstad | 1 |
La Jolla | 1 |
Lewes | 1 |
Los Angeles | 1 |
Ludwigshafen am Rhein | 1 |
Minneapolis | 1 |
Munich | 1 |
Nanjing | 1 |
Nürnberg | 1 |
Pasir Mas | 1 |
Petaling Jaya | 1 |
Phoenix | 1 |
Princeton | 1 |
Seattle | 1 |
Shanghai | 1 |
Shenzhen | 1 |
Shibuya | 1 |
Stockholm | 1 |
Vienna | 1 |
Warsaw | 1 |
Washington | 1 |
Yangcheon-gu | 1 |