Statistics for Using real time traveler demand data to optimize commuter rail feeder systems
Total visits
views | |
---|---|
Using real time traveler demand data to optimize commuter rail feeder systems | 467 |
Total visits per month
views | |
---|---|
March 2024 | 0 |
April 2024 | 0 |
May 2024 | 0 |
June 2024 | 0 |
July 2024 | 2 |
August 2024 | 0 |
September 2024 | 0 |
File Visits
views | |
---|---|
YU-DISSERTATION.pdf(legacy) | 348 |
YU-DISSERTATION.pdf | 119 |
Top country views
views | |
---|---|
United States | 321 |
China | 52 |
France | 31 |
South Korea | 22 |
Japan | 19 |
Ukraine | 18 |
United Kingdom | 15 |
Germany | 13 |
India | 9 |
Belarus | 8 |
Iran | 8 |
Indonesia | 7 |
Netherlands | 6 |
Canada | 4 |
Finland | 4 |
Russia | 3 |
Sweden | 2 |
Singapore | 2 |
Austria | 1 |
Brazil | 1 |
Czechia | 1 |
Georgia | 1 |
Hong Kong SAR China | 1 |
Italy | 1 |
Malaysia | 1 |
Nigeria | 1 |
Philippines | 1 |
Poland | 1 |
Taiwan | 1 |
Top city views
views | |
---|---|
Beverly Hills | 40 |
Beijing | 30 |
Miami | 28 |
Ashburn | 25 |
Austin | 18 |
Lvov | 17 |
Woodbridge | 17 |
Sunnyvale | 13 |
Palo Alto | 11 |
Redwood City | 11 |
Houston | 10 |
Des Moines | 9 |
Dallas | 6 |
Collegeville | 5 |
Fort Lauderdale | 5 |
Jakarta | 5 |
Mountain View | 5 |
Zhengzhou | 5 |
Milton Keynes | 4 |
Delhi | 3 |
Midland | 3 |
Santa Clara | 3 |
Shanghai | 3 |
Troy | 3 |
Bangalore | 2 |
Bloomfield Hills | 2 |
Boston | 2 |
Changsha | 2 |
Council Bluffs | 2 |
Lexington | 2 |
Midvale | 2 |
Montréal | 2 |
Raipur | 2 |
Sacramento | 2 |
Shenzhen | 2 |
Singapore | 2 |
Stockholm | 2 |
Tehran | 2 |
Tianjin | 2 |
Bedford | 1 |
Bengaluru | 1 |
Bhubaneswar | 1 |
Cainta | 1 |
Champaign | 1 |
Cheras | 1 |
Decatur | 1 |
Eden Prairie | 1 |
Frederick | 1 |
Glenside | 1 |
Kwai Chung | 1 |
Lake Forest | 1 |
Levittown | 1 |
Madison | 1 |
Malvern | 1 |
Manlius | 1 |
Mcallen | 1 |
Moscow | 1 |
Nanaimo | 1 |
Nanchang | 1 |
Nanjing | 1 |
Needham | 1 |
Newton Center | 1 |
Nuremberg | 1 |
Porto Alegre | 1 |
Rockville | 1 |
Round Rock | 1 |
Saint Petersburg | 1 |
Seattle | 1 |
Secaucus | 1 |
Seoul | 1 |
Taipei | 1 |
Tampa | 1 |
Tokyo | 1 |
Vancouver | 1 |
Warwick | 1 |
Wilmington | 1 |
Yoshkar-ola | 1 |