AAG2018: Innovations in Urban Analytics - Papers and Sessions
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.
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.
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 |
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| 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 |
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| 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 |
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| 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
- Nick Malleson, University of Leeds, UK
- Alison Heppenstall, University of Leeds, UK
- Andrew Crooks, George Mason University, US
- Tuuli Toivonen, University of Helsinki, Finland
- Alex Singleton, University of Liverpool, UK
- Ed Manley, UCL, UK