Symposium on New Horizons in Human Dynamics Research: Innovations in Urban Analytics II - Transport and Accessibility

Type: Paper
Theme:
Sponsor Groups: Geographic Information Science and Systems Specialty Group, Spatial Analysis and Modeling Specialty Group, Urban Geography Specialty Group
Scheduler ID: THU-064-10:00 a.m.
Poster #:
Day: 4/12/2018
Start / End Time: 10:00 AM / 11:40 AM
Room: Bayside A, Sheraton, 4th Floor
Organizers: Nick Malleson, Ed Manley, Alex Singleton
Chairs: Andrew Crooks

Description

New forms of data about people and cities, often termed ‘Big’, are fostering research that is disrupting many traditional fields. This is true in geography, and especially in those more technical branches of the discipline such as computational geography / geocomputation, spatial analytics and statistics, geographical data science, etc. These new forms of micro-level data have lead to new methodological approaches in order to better understand how urban systems behave. Increasingly, these approaches and data are being used to ask questions about how cities can be made more sustainable and efficient in the future.

This session will bring together the latest research in urban analytics. We are particularly interested in papers that engage with the following domains:

- Agent-based modelling (ABM) and individual-based modelling;
- Machine learning for urban analytics;
- Innovations in consumer data analytics for understanding urban systems;
- Real-time model calibration and data assimilation;
- Spatio-temporal data analysis;
- New data, case studies, demonstrators, and tools for the study of urban systems;
- Complex systems analysis;
- Geographic data mining and visualisation;
- Frequentist and Bayesian approaches to modelling cities.

For those interested specifically in the interface between research and policy, they might consider submitting their paper to the session “Computation for Public Engagement in Complex Problems” (http://www.gisagents.org/2017/10/call-for-papers-computation-for-public.html).


Agenda

Type Details Minutes Start Time
Presenter Ed Manley*, University College London, Analysing Cities through Cognitive Models of Geographic Space 20 10:00 AM
Presenter Alison Heppenstall*, , Who, why and when? Using smart card and social media data to reveal flows through urban spaces Yuanxuan Yang, University of Leeds, Who, why and when? Using smart card and social media data to reveal flows through urban spaces Alexis Comber, University of Leeds, Who, why and when? Using smart card and social media data to reveal flows through urban spaces 20 10:20 AM
Presenter Kerry Nice*, University of Melbourne, The Paris end of town? Urban typology through machine learning. Jason Thompson, University of Melbourne, The Paris end of town? Urban typology through machine learning. Jasper Wijnands, University of Melbourne, The Paris end of town? Urban typology through machine learning. Gideon Aschwanden, University of Melbourne, The Paris end of town? Urban typology through machine learning. Mark Stevenson, University of Melbourne, The Paris end of town? Urban typology through machine learning. 20 10:40 AM
Presenter Henrikki Tenkanen*, Digital Geography Lab, Department of Geosciences and Geography, University of Helsinki, Dynamic cities: Spatial accessibility as a function of time Olle Järv, Digital Geography Lab, Department of Geosciences and Geography, University of Helsinki, Dynamic cities: Spatial accessibility as a function of time Maria Salonen, Digital Geography Lab, Department of Geosciences and Geography, University of Helsinki, Dynamic cities: Spatial accessibility as a function of time Rein Ahas, Mobility Lab, University of Tartu, Dynamic cities: Spatial accessibility as a function of time Tuuli Toivonen, Digital Geography Lab, Department of Geosciences and Geography, University of Helsinki, Dynamic cities: Spatial accessibility as a function of time 20 11:00 AM
Presenter Thomas Redfern*, University of Leeds, Monitoring, modelling and understanding the complex spatiotemporal dynamics of air pollution exposure, transport policies, and health burdens. Nicolas Malleson, University of Leeds, Monitoring, modelling and understanding the complex spatiotemporal dynamics of air pollution exposure, transport policies, and health burdens. Gillian Harrison, University of Leeds, Monitoring, modelling and understanding the complex spatiotemporal dynamics of air pollution exposure, transport policies, and health burdens. Frances Hodgson, University of Leeds, Monitoring, modelling and understanding the complex spatiotemporal dynamics of air pollution exposure, transport policies, and health burdens. Alexis Comber, University of Leeds, Monitoring, modelling and understanding the complex spatiotemporal dynamics of air pollution exposure, transport policies, and health burdens. Susan Grant-Muller, University of Leeds, Monitoring, modelling and understanding the complex spatiotemporal dynamics of air pollution exposure, transport policies, and health burdens. 20 11:20 AM

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