| Understanding urban human activity and mobility patterns using large-scale location-based data from online social media S Hasan, X Zhan, SV Ukkusuri Proceedings of the 2nd ACM SIGKDD international workshop on urban computing, 1-8, 2013 | 422 | 2013 |
| Spatiotemporal patterns of urban human mobility S Hasan, CM Schneider, SV Ukkusuri, MC González Journal of Statistical Physics 151, 304-318, 2013 | 351 | 2013 |
| Urban activity pattern classification using topic models from online geo-location data S Hasan, SV Ukkusuri Transportation Research Part C: Emerging Technologies 44, 363-381, 2014 | 321 | 2014 |
| Exploring the capacity of social media data for modelling travel behaviour: Opportunities and challenges TH Rashidi, A Abbasi, M Maghrebi, S Hasan, TS Waller Transportation Research Part C: Emerging Technologies 75, 197-211, 2017 | 295 | 2017 |
| Behavioral Model to Understand Household-Level Hurricane Evacuation Decision Making S Hasan, S Ukkusuri, H Gladwin, P Murray-Tuite Journal of Transportation Engineering 137, 341, 2011 | 293 | 2011 |
| Exploring the determinants of pedestrian–vehicle crash severity in New York City HMA Aziz, SV Ukkusuri, S Hasan Accident Analysis & Prevention 50, 1298-1309, 2013 | 255 | 2013 |
| A novel transit rider satisfaction metric: Rider sentiments measured from online social media data C Collins, S Hasan, SV Ukkusuri Journal of Public Transportation 16 (2), 21-45, 2013 | 241 | 2013 |
| Urban link travel time estimation using large-scale taxi data with partial information X Zhan, S Hasan, SV Ukkusuri, C Kamga Transportation Research Part C: Emerging Technologies 33, 37-49, 2013 | 237 | 2013 |
| Random parameter model used to explain effects of built-environment characteristics on pedestrian crash frequency S Ukkusuri, S Hasan, HMA Aziz Transportation research record 2237 (1), 98-106, 2011 | 198 | 2011 |
| A random-parameter hazard-based model to understand household evacuation timing behavior S Hasan, R Mesa-Arango, S Ukkusuri Transportation Research Part C: Emerging Technologies 27, 108-116, 2011 | 186 | 2011 |
| Household-level model for hurricane evacuation destination type choice using hurricane Ivan data R Mesa-Arango, S Hasan, SV Ukkusuri, P Murray-Tuite Natural hazards review 14 (1), 11-20, 2013 | 158 | 2013 |
| Modeling infrastructure system interdependencies and socioeconomic impacts of failure in extreme events: emerging R&D challenges S Hasan, G Foliente Natural Hazards 78 (3), 1-26, 2015 | 128 | 2015 |
| Understanding the efficiency of social media based crisis communication during hurricane Sandy KC Roy, S Hasan, AM Sadri, M Cebrian International Journal of Information Management 52, 102060, 2020 | 124 | 2020 |
| Identifying tourists and analyzing spatial patterns of their destinations from location-based social media data MM Hasnat, S Hasan Transportation Research Part C: Emerging Technologies 96, 38-54, 2018 | 111 | 2018 |
| Crisis communication patterns in social media during Hurricane Sandy AM Sadri, S Hasan, SV Ukkusuri, M Cebrian Transportation research record 2672 (1), 125-137, 2018 | 93 | 2018 |
| A threshold model of social contagion process for evacuation decision making S Hasan, SV Ukkusuri Transportation Research Part B: Methodological, 2011 | 87 | 2011 |
| Quantifying human mobility resilience to extreme events using geo-located social media data KC Roy, M Cebrian, S Hasan EPJ Data Science 8 (1), 1-15, 2019 | 77 | 2019 |
| Location contexts of user check-ins to model urban geo life-style patterns S Hasan, SV Ukkusuri PloS one 10 (5), e0124819, 2015 | 76 | 2015 |
| Predicting traffic demand during hurricane evacuation using Real-time data from transportation systems and social media KC Roy, S Hasan, A Culotta, N Eluru Transportation research part C: emerging technologies 131, 103339, 2021 | 60 | 2021 |
| Analysis of social interaction network properties and growth on Twitter AM Sadri, S Hasan, SV Ukkusuri, JE Suarez Lopez Social Network Analysis and Mining 8, 1-13, 2018 | 60* | 2018 |
Satish UkkusuriReilly Professor of Civil Engineering, Purdue University在 purdue.edu 的电子邮件经过验证
