Xiao Li

Social Sciences

1. Transport 100%
2. UK 64%
3. E-Scooters 55%
4. Public Health 40%
5. Legal Procedure 36%
6. USA 30%
7. Metropolitan Area 30%
8. COVID-19 27%
9. Social Media 27%
10. Risk Factor 27%
11. Transport Safety 27%
12. Time Series Analysis 27%
13. London 27%
14. Feature Fusion 27%
15. Ride-Hailing 27%
16. Physical Activity 27%
17. Natural Language Processing 27%
18. Traffic Congestion 27%
19. Artificial Intelligence 27%
20. Police 27%
21. Social Dimension 27%
22. Road Network 27%
23. Logistic Regression Analysis 25%
24. Logit Model 25%
25. Sociodemographics 21%
26. Minority Groups 18%
27. Motor Vehicles 18%
28. Vaccination 18%
29. Travel Behavior 18%
30. Household Composition 18%
31. Micromobility 18%
32. Low Income 18%
33. Texas 17%
34. Environmental Factor 16%
35. Authors 13%
36. Source of Information 13%
37. Primary Source 13%
38. Inequity 9%
39. Mode Choice 9%
40. Travel Pattern 9%
41. Social Vulnerability 9%
42. Transport Technology 9%
43. Population Density 9%
44. Drainage Basins 9%
45. Helmet Use 9%
46. English 9%
47. Substance Use 9%
48. Education 9%
49. Reference Group 9%
50. Urban Environment 9%