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AAG2018: Innovations in Urban Analytics - Papers and Sessions

This year we have papers across five sessions at the Association of American Geographers Annual Meeting (10-14 April, 2018 in New Orleans). The sessions are part of the Symposium on New Horizons in Human Dynamics Research.


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.

These sessions will bring together the latest research in urban analytics from the 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.

Session Details

All sessions take place on Thursday 12th April 2018, in the room: Bayside A, Sheraton, 4th Floor.

Session 1: Agent-Based Modelling and Machine Learning

Time: 8:00 AM - 9:40 AM, Chair: Nick Malleson
Andrew Crooks, Annetta Burger, Xiaoyi Yuan, William G Kennedy.
The Generation and Application of Large Scale Synthetic Populations for Disease Outbreaks and Disasters
Achilleas Psyllidis, Hendra Hadhil Choiri
A Convolutional Neural Network-based Model for Predicting the Perceived Attractiveness of Urban Places
Jonathan Reades, Jordan de Souza, Elizabeth Sklar
Predicting Neighbourhood Change in London with Random Forests
Nick Malleson, Tomas Crols, Andrew Evans
Forecasting Short-Term Urban Dynamics: Data Assimilation for Agent-Based Modelling
Tomas Crols, Nick Malleson
Calibrating an Agent-Based Model of the Ambient Population using Big Data

Session 2: Transport and Accessibility

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

Session 3: Data Synergies and Emerging Insights

Time: 1:20 PM - 3:00 PM, Chair: Alison Heppenstall
Tuuli Toivonen, Henrikki Tenkanen, Vuokko Heikinheimo, Olle Järv, Tuomo Hiippala
Social media content for understanding the spatial patterns of urban leisure time </tr>
Emmanouil Tranos
Doing internet archaeology to reveal the evolution of the digital economy in the UK
Daniel Arribas-Bel
"Nowcasting"; house prices at high spatiotemporal resolution
Nik Lomax, Andrew P Smith
High resolution demographic projections for infrastructure planning
Alison Heppenstall (Discussant)

Session 4: Innovations in Urban Analytics

Time: 3:20 PM - 5:00 PM, Chair: Ed Manley
Boyana Buyuklieva, Adam Dennett
Making Metrics Meaningful: A Discussion of Implementation and Reproducibility Using Measures of Migration
Marina Toger, Ian Shuttleworth, John Östh
How average is average? Temporal patterns and variability in mobile phone data
Alec Davies, Mark Green, Alex Singleton
Using new forms of data to investigate self-medication
Ellen Talbot
Estimating Energy Consumption Through Smart Meter and Socio-demographic Datasets
Ed Manley (Discussant)

Session 5: Innovations in Urban Analytics V: Panel Session

Time: 5:20 PM - 7:00 PM, Chair: Nick Malleson
Alex Singleton, University of Liverpool
Andrew Crooks, George Mason University
Boyana Buyuklieva, Centre for Advanced Spatial Analysis, University College London
Tuuli Toivonen, University of Helsinki
Moira Zellner, University of Illinois at Chicago
Tom Redfern, University of Leeds

Session organisers