Its been another wonderful year for our MSc Smart Cities and Urban Analytics and MRes Spatial Data Science and Visualisation programmes. The deadline for submission is 1 September each year, a time for celebration and an opportunity to explore the wide variety of research topics examined by our students.
The full list of dissertation titles is reproduced below.
MSc Smart Cities and Urban Analytics
William Ashford: An Analysis Of Supervised Machine Learning Models For Road Traffic Forecasting
Jan Chojnacki: Investigating The Accessibility To Sports Facilities: A Case Study Of The Borough Of Westminster, London
Yu-Che Huang: Understanding Civic Engagement Through Data's Case Study On New York City
Farshid Aryan Khesal: Optimal Site Selection Of Public Charging Points For Plug-In Electric Vehicles
Miriam Kreuger: Setting The Scene For Further Investigations Into The Environment And Characteristics Of Berlin's Vibrant Micro-Clusters
Mercedes Landa: Metropolitan Spatial Structure: The Valley Of Mexico
Zhuoran Li: Adult Obesity Prevalence Estimation In London Using Spatial Microsimulation Method
Siyuan Ma: Splicing Time - Lazio And The Roman Campagna: Exploring The Narrative Visualisation Of Historical Places Through Archival And Modern Photography
Inigo Mingolarra-Garaizar: An Introduction To Scaling Laws In England and Wales
Neelam Kaur Kundi: Exploring Submarket Trends London: A Constrained Spatial Interaction Modelling Analysis
Pegah Noori Khan: Network Theory Approach On Building Energy Data Case Study - New York & San Francisco
Huidong Qu: Contemporary Tourism In Whitechapel And The East End Of London
Nissa Shahid: The London Metropolitan Green Belt: A Barrier To Sustainable Development?
Haochen Shi: Explore The Relationship Between Diversity And Density Of Urban Activities By POI-Based Measurements: Case Studies Of Three Typical Chinese Cities
Konstantina Spanou: Mobility Patterns and Disease Transmission: Preventing Malaria Using Mobile Phone Data
William Squires: Visualizing Procedurally Generated Spatio-Temporal City Data In Virtual Reality
Paula White: The Impact Of the Night Tube On The Westminsters Night Economy
Jie Xiu: Spatio-Temporal Relations Between London Bicycle Journeys And Underground Travels In Multi-Model Trips
Kirsten Zeller: Capturing Noise At Night: A Spatial-Temporal & Street-Life Exploration Of Noise And Busking Complaints In The West End"
MRes Spatial Data Science and Visualisation
Yingshuo Du: The Interaction Between Urban Configurations And Land Use Patterns In Guangzhou
Gabriele Filomena: A Computational Approach To "The Image of the City"
Yufan Gao: An Optimal Algorithm For Time Sensitive Distribution Network Problem With Single Distribution Centre
Julian Ganz: It's The Funding, Stupid! - Assessing The Impact Of The Research Excellence Framework Through Spatial Statistics And Collaboration Network Analysis
Miltiadis Giannakopoulos: Application Of GIS For Modelling And Optimisation Of Electric Vehicle
Chenxing He: Urban Safety Perception Investigated = A Deep Learning And Groundtruthing Approach
Dominic Humphrey: The Benefits Of And Methods To Calculate Land Value From Price Data In The UK
Andrea Imaz: Urban Economies Now And Then
Siyi Liu: An Investigation Into The Bike Repositioning Problem For London Cycle Hire Scheme
Maria Fernanda Ortiz Carrasal: Measures Of The Accessibility Via The Transit System In Bogota: A Tool For Transport And Land Use
Mateo Neira: Urban Complexity And Spatial Justice's Measuring Effects Of Urban Morphology On Spatial Inequality And Segregation
Yi Ping: The Effects Of The New Metro Line On Urban Connection In Guangzhou
Nikoletta Plakomyti: Urban Mobility And Modelling Demand Using Taxi Traces: A Case Study For Thessaloniki
Daniel Smith: Spatial Drug Discovery: A Qualitative Evaluation Of Spatialisation To Biomedical Knowledge Discovery In Industry.
Ioannis Toumpalidis: Physical Spaces And Digital Flows Navigating Through The Informational Matrix
Eleni Tziaferi: Detecting Patterns Of Regularity In Physical Activity Behaviour By Exploiting Users' Data From Fitness Mobile Applications
Weilin Wang: Mining The Bike Sharing System Of New York City
Fan Wu: Feature Analysis And Housing Price Prediction Of Airbnb Listings: In Case Of City of London
Wenke Yang: Allocate Mini-Hubs For Freight Couriers In London Using Stopping Points
Alvin Yeo: Understanding The London Night Time Economy Using WiFi-Based Footfall Data
Congratulations to all!