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The Bartlett Centre for Advanced Spatial Analysis

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Doctoral students

The programme

Advanced Spatial Analysis MPhil/PhD is a doctoral programme aimed at students interested in modelling aspects of cities, social or physical, or in understanding the impact of new technologies on an evolving society. CASA gives students the opportunity to explore a wide range of subjects from complexity to smart cities, from a theoretical or applied perspective pertinent to contemporary problems.


Current students 


A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | V | W | X | Y | Z

A

 


Image: Word cloud of Preprocessed Text, Dimas Bayu Anindito


Dhimas Bayu Anindito
The Wisdom of Crowds in Spatial Context: Investigating Urban Inequality through the Geolinguistic, Geopolitical, and Spatiotemporal Pattern of Crowdsourced Data

B

 

C

 

 

Sin Man Abi Choi


Sin Man (Abi) Choi
Understanding Space Utilisation and Privacy-enhanced Occupancy Monitoring via the Application of Internet of Things Deployments: Embedding and Communicating real-time data with Edge AI

E

 

Adham Enaya

 

Adham Enaya
Transfer Learning for Adaptable and Transferable Urban Mobility Models

L

 

 

Huixin Liu

 

Huixin Liu
Simulating Knowledge and Experience-Based Driver Behaviours for LGVs Based on Agent-Based Model

 

Image: Zhixuan (Willow) Liu


Zhixuan (Willow) Liu
Assessing the Impacts of Large Transport Infrastructure Investment

 

Image: Claude Lynch


Claude Lynch
Pathways to Socially Equitable Net Zero Cities and Regions

P

 

 

Zulfikar Putra


Zulfikar Putra
The Development of Grassroots Simulation as a Planning Support System for Community-centred City Planning

R

 

 

Courtesy of Nurul Atikah Ramli

 

Nurul Atikah Ramli
Conceptualising Participatory in Digital Planning

S

 


Image: Richard Sobey 2020


Richard Sobey

Characterising the spatial dimension of challenge: positioning disruptive modes of social activism within the power structures of urbanism

W

 

Image: ULEZ


Yikang Wang
Exploring the Impacts of Charging Zones on Human Mobility Using Mobile Phone Location Data and a Causal Inference Approach

Z

 
 


Xiuning Zhang
Beyond One-Size-Fits-All: Tailoring the 15-Minute City for Levelling Up Through Multi-Scale Mobility Insights