How Effective are Low Traffic Neighbourhoods in Reducing Traffic Accidents? A City-Wide Difference-in-Differences Study in London
Low Traffic Neighbourhoods (LTNs) are urban planning interventions aimed at reducing through traffic and improving road safety for pedestrians and cyclists. This study evaluates the effectiveness of LTNs in reducing traffic accidents in London using a Difference-in-Differences (DID) approach. The study analyzes annual traffic accident data from 2015 to mid 2024 and employs both a traditional DID model and an improved DID model to assess the short- and long-term effects of LTNs.
Aug 16, 2024
The Correlation between IMD and Education Levels
This project aimed to investigate the relationship between socioeconomic deprivation and educational attainment across London. The central question was - Is there a measurable link between living in a deprived area and having lower educational qualifications, and what does this pattern look like geographically?
May 19, 2024
Environmental Justice in London: Analyzing a Decade of Air Quality Inequality
Air pollution is a major public health risk, but is its burden shared equally across society? This project investigates the concept of environmental justice by assessing how the social distribution of air quality changed in London over a decade. The central question was - Did environmental inequality improve or worsen between 2001 and 2011?
Apr 18, 2024
Geodemographic Classification for Social Impact: Targeting Youth Support in Leeds
To help the Leeds-based charity Learning Partnerships identify neighbourhoods with the highest concentration of young, disadvantaged adults. The aim was to create a data-driven map to guide their outreach and support services.
Feb 27, 2024
Solar Park Site Suitability Analysis: A Multi-Criteria Evaluation in Scotland
Performed a site suitability analysis in ArcGIS Pro to identify optimal locations for a new solar park in Scotland. I used Multi-Criteria Evaluation (MCE) and raster analysis to combine factors like elevation, aspect, soil type, and proximity to infrastructure. The project culminated in a favorability map that provides a data-driven recommendation for stakeholders.
Jan 17, 2024
High-Fidelity 3D Model Reconstruction using Air-Ground Fusion
Standard 3D models created from UAV (drone) imagery are excellent for capturing large areas quickly, but they often suffer from significant limitations at ground level. Textures on building facades can be blurry, and complex structures like covered walkways or overhangs are often distorted or incomplete. This project aimed to solve this common industry problem by developing a method to enhance model accuracy and detail.
May 17, 2021
Spatial Analysis and Cartography: Creating China's Annual Precipitation Distribution Map
The goal of this project was to create a comprehensive and cartographically refined thematic map illustrating the annual precipitation patterns across China. This project showcases a complete GIS workflow, from raw data processing and advanced spatial analysis to final map production and design.
Sep 12, 2020