Agent-based simulation for strategic planning.

Collaborating with the Metropolitan Police Service, the Crime, Policing and Citizenship (CPC)В project analyses and models the relationship between police activities, crime and public attitudes towards policing. The safety and security of the public relies on police agencies maximising their use of the diverse geo-temporal data sources available to them.

Detecting hybrid travel modes from sparse GPS data.

Developing mobility solutions for cyclists using cycle hire and tracking app data.

Modelling the impact of engineering work and incidents on London tube lines.

Identifying flexible travellers and groups using smart card data.

Prediction, simulation and visualisation of urban traffic flows.

STANDARD) using large, spatio-temporal transportation datasets to categorise, cluster and profile peopleВ and places. SpaceTimeLab is working on a number of projects (e.g. At SpaceTimeLab, we work to ensure the health of the city by improving the mobility of its citizens and the function of its transportation system. The transportation system is the lifeblood of the city. SpaceTimeLab has a varied portfolio of research that spans the followingВ four key research themes: Transport & Mobility

Puria Radmard (University of Cambridge)Д¬urrent visiting researchers/doctoral students.

Dr Di Zhu (Assistant Professor, University of Minnesota, Twin Cities ).

Prof Ge Chen (Ocean Remote Sensing Institute).

Dr Igor Ivan (Technical University of Ostrava).

Prof Xinhai Lu (Huazhong University of Science and Technology).

Prof Tomoki Nakaya (Ritsumeikan University).

Previous visiting researchers/doctoral students In order to make the most effective use of your time with us, we recommend that plans are made well before your visit, typically several months in advance.ДЇor more information, please see the UCL website: В or contact Prof Tao Cheng ( visiting research students should visit the UCL International Students website for more information. If you are appointed, you will work closely with members of the SpaceTimeLab to develop a research plan which will be mutually beneficial. We especially welcome those who closely share our research interests of big-data analytics and network complexity. Honorary members comprise former PhD students and post-doctoral research associates who now maintain close links with the SpaceTimeLab.Д®very year the UCL SpaceTimeLab is happy to host a small number of outstanding visiting researchers and doctoral students. Many co-supervise our PhD students, or they are Co-Investigators in our projects.ДЄdvisors offer support, supervision and advice to students and researchers working in the SpaceTimeLab

The following staff have close ties with SpaceTimeLab, and work in eitherВ CEGEВ or associated UCL Departments. Research staff are current post-doctoral research associates working on a range of projects in the SpaceTimeLab: Please note, links on this pageВ may direct to external sites.

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