| Coupling mobile phone and social media data: A new approach to understanding urban functions and diurnal patterns W Tu, J Cao, Y Yue, SL Shaw, M Zhou, Z Wang, X Chang, Y Xu, Q Li International Journal of Geographical Information Science 31 (12), 2331-2358, 2017 | 275 | 2017 |
| Human mobility and socioeconomic status: Analysis of Singapore and Boston Y Xu, A Belyi, I Bojic, C Ratti Computers, Environment and Urban Systems 72, 51-67, 2018 | 215 | 2018 |
| Understanding aggregate human mobility patterns using passive mobile phone location data: a home-based approach Y Xu, SL Shaw, Z Zhao, L Yin, Z Fang, Q Li Transportation 42 (4), 625-646, 2015 | 179 | 2015 |
| Unravel the landscape and pulses of cycling activities from a dockless bike-sharing system Y Xu, D Chen, X Zhang, W Tu, Y Chen, Y Shen, C Ratti Computers, Environment and Urban Systems 75, 184-203, 2019 | 177 | 2019 |
| Understanding the bias of call detail records in human mobility research Z Zhao, SL Shaw, Y Xu, F Lu, J Chen, L Yin International Journal of Geographical Information Science 30 (9), 1738-1762, 2016 | 168 | 2016 |
| Another tale of two cities: Understanding human activity space using actively tracked cellphone location data Y Xu, SL Shaw, Z Zhao, L Yin, F Lu, J Chen, Z Fang, Q Li Annals of the American Association of Geographers 106 (2), 489-502, 2016 | 147 | 2016 |
| Spatial structures of tourism destinations: A trajectory data mining approach leveraging mobile big data S Park, Y Xu, L Jiang, Z Chen, S Huang Annals of Tourism Research 84, 102973, 2020 | 123 | 2020 |
| Do different datasets tell the same story about urban mobility—A comparative study of public transit and taxi usage X Zhang, Y Xu, W Tu, C Ratti Journal of Transport Geography 70, 78-90, 2018 | 97 | 2018 |
| Quantifying segregation in an integrated urban physical-social space Y Xu, A Belyi, P Santi, C Ratti Journal of the Royal Society Interface 16 (160), 20190536, 2019 | 88 | 2019 |
| Spatial analysis of the impact of urban geometry and socio-demographic characteristics on COVID-19, a study in Hong Kong CYT Kwok, MS Wong, KL Chan, MP Kwan, JE Nichol, CH Liu, JYH Wong, ... Science of The Total Environment 764, 144455, 2021 | 69 | 2021 |
| Characterizing destination networks through mobility traces of international tourists—A case study using a nationwide mobile positioning dataset Y Xu, J Li, A Belyi, S Park Tourism Management 82, 104195, 2021 | 63 | 2021 |
| Understanding spatiotemporal patterns of human convergence and divergence using mobile phone location data X Yang, Z Fang, Y Xu, SL Shaw, Z Zhao, L Yin, T Zhang, Y Lin ISPRS International Journal of Geo-Information 5 (10), 177, 2016 | 63 | 2016 |
| Impact of the COVID-19 pandemic on travel behavior: A case study of domestic inbound travelers in Jeju, Korea M Ren, S Park, Y Xu, X Huang, L Zou, MS Wong, SY Koh Tourism Management 92, 104533, 2022 | 57 | 2022 |
| Spatiotemporal model for assessing the stability of urban human convergence and divergence patterns Z Fang, X Yang, Y Xu, SL Shaw, L Yin International Journal of Geographical Information Science 31 (11), 2119-2141, 2017 | 54 | 2017 |
| Inclusive public open space for all: Spatial justice with health considerations IY Jian, EHW Chan, Y Xu, EK Owusu Habitat International 118, 102457, 2021 | 52 | 2021 |
| How friends share urban space: An exploratory spatiotemporal analysis using mobile phone data Y Xu, A Belyi, I Bojic, C Ratti Transactions in GIS 21 (3), 468-487, 2017 | 50 | 2017 |
| Towards a multidimensional view of tourist mobility patterns in cities: A mobile phone data perspective Y Xu, J Xue, S Park, Y Yue Computers, Environment and Urban Systems 86, 101593, 2021 | 45 | 2021 |
| A functional test platform for the Community Land Model D Wang, Y Xu, P Thornton, A King, C Steed, L Gu, J Schuchart Environmental modelling & software 55, 25-31, 2014 | 41 | 2014 |
| Space-time dynamics of cab drivers' stay behaviors and their relationships with built environment characteristics P Zhao, Y Xu, X Liu, MP Kwan Cities 101, 102689, 2020 | 37 | 2020 |
| Improving short-term bike sharing demand forecast through an irregular convolutional neural network X Li, Y Xu, X Zhang, W Shi, Y Yue, Q Li Transportation Research Part C: Emerging Technologies 147, 103984, 2023 | 36 | 2023 |
Shih-Lung ShawBeaman Professor of Geography, University of TennesseeE-mailová adresa ověřena na: utk.edu
