Browse by UCL people
Group by: Type | Date
Number of items: 18.
Article
Chen, T;
Bowers, K;
Cheng, T;
Zhang, Y;
Chen, P;
(2020)
Exploring the homogeneity of theft offenders in spatio-temporal crime hotspots.
Crime Science
, 9
, Article 9. 10.1186/s40163-020-00115-8.
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Ren, Y;
Chen, H;
Han, Y;
Cheng, T;
Zhang, Y;
Chen, G;
(2020)
A hybrid integrated deep learning model for the prediction of citywide spatio-temporal flow volumes.
International Journal of Geographical Information Science
, 34
(4)
pp. 802-823.
10.1080/13658816.2019.1652303.
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Ren, Y;
Cheng, T;
Zhang, Y;
(2019)
Deep spatio-temporal residual neural networks for road-network-based data modeling.
International Journal of Geographical Information Science
, 33
(9)
pp. 1894-1912.
10.1080/13658816.2019.1599895.
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Sari Aslam, N;
Zhu, D;
Cheng, T;
Ibrahim, MR;
Zhang, Y;
(2020)
Semantic enrichment of secondary activities using smart card data and point of interests: a case study in London.
Annals of GIS
10.1080/19475683.2020.1783359.
(In press).
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Taalab, K;
Cheng, T;
Zhang, Y;
(2018)
Mapping landslide susceptibility and types using Random Forest.
Big Earth Data
, 2
(2)
pp. 159-178.
10.1080/20964471.2018.1472392.
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Zhang, Y;
Sari Aslam, N;
Lai, J;
Cheng, T;
(2020)
You are how you travel: A multi-task learning framework for Geodemographic inference using transit smart card data.
Computers, Environment and Urban Systems
, 83
, Article 101517. 10.1016/j.compenvurbsys.2020.101517.
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Zhang, Y;
Cheng, T;
(2020)
A Deep Learning Approach to Infer Employment Status of Passengers by Using Smart Card Data.
IEEE Transactions on Intelligent Transportation Systems
, 21
(2)
pp. 617-629.
10.1109/TITS.2019.2896460.
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Zhang, Y;
Cheng, T;
(2020)
Graph deep learning model for network-based predictive hotspot mapping of sparse spatio-temporal events.
Computers, Environment and Urban Systems
, 79
, Article 101403. 10.1016/j.compenvurbsys.2019.101403.
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Zhang, Y;
Cheng, T;
Ren, Y;
(2019)
A graph deep learning method for short-term traffic forecasting on large road networks.
Computer-Aided Civil and Infrastructure Engineering
, 34
(10)
pp. 877-896.
10.1111/mice.12450.
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Zhang, Y;
Cheng, T;
Ren, Y;
Xie, K;
(2020)
A novel residual graph convolution deep learning model for short-term network-based traffic forecasting.
International Journal of Geographical Information Science
, 34
(5)
pp. 969-995.
10.1080/13658816.2019.1697879.
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Proceedings paper
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Chen, H;
Cheng, T;
Zhang, Y;
(2019)
Locating stations in bike-sharing service: a special maximal covering location problem.
In:
Geographical Information Science Research- UK (GISRUK) 2019 Proceedings.
GISRUK: Newcastle, UK.
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Cheng, T;
Chen, T;
Zhang, Y;
(2019)
Exploring the Homogeneity of Offenders in Crime Hotspots.
In:
Geographical Information Science Research- UK (GISRUK) 2019 Proceedings.
GISRUK: Newcastle, UK.
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Sari Aslam, N;
Cheng, T;
Cheshire, J;
Zhang, Y;
(2019)
Trip purpose identification using pairwise constraints based semi-supervised clustering.
In: Robson, Craig and Fairbairn, David, (eds.)
Proceedings of the Geographical Information Science Research UK Conference (GISRUK 2019).
GISRUK (Geographical Information Science Research UK): Newcastle, UK.
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Zhang, Y;
Cheng, T;
(2018)
Inferring Social-Demographics of Travellers based on Smart Card Data.
In:
Proceedings of the 2nd International Conference on Advanced Research Methods and Analytics (CARMA2018).
(pp. pp. 55-62).
Universitat Politècnica València: Valencia, Spain.
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Zhang, Y;
Cheng, T;
Aslam, NS;
(2019)
Exploring the relationship between travel pattern and social-demographics using smart card data and household survey.
In:
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives.
(pp. pp. 1375-1382).
ISPRS: Enschede, The Netherlands.
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Zhang, Y;
Cheng, T;
Sari Aslam, N;
(2019)
Deep Learning for Demographic Prediction based on Smart Card Data and Household Survey.
In:
Proceedings of Geographic Information Science Research UK (GISRUK) 2019.
Geographic Information Science Research UK (GISRUK): Newcastle, UK.
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Zhang, Y;
Sari Aslam, N;
Cheng, T;
(2020)
Inferring Demographics from Spatial-Temporal Activities Using Smart Card Data.
In:
Proceedings of The 28th Geographical Information Science Research UK Conference 2020.
(pp. p. 66).
GISRUK: London, UK.
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Thesis
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Zhang, Yang;
(2020)
Graph Deep Learning Models for Network-based Spatio-Temporal Data Forecasting: From Dense to Sparse.
Doctoral thesis (Ph.D), UCL (University College London).
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