Our Blog
Exploring the intersection of optimization, public transport, and urban sustainability.
Featured Posts
Routing and Scheduling in Home Health Care: The Power of Online Time Slot Selection
How a novel bi-level optimization and Adaptive Large Neighborhood Search (ALNS) framework addresses the emerging challenge of online time slot booking in home healthcare routing.
Who Wins When Uber and Taxis Compete? The Case for Pareto-Optimal Regulation
A new bi-level optimisation and Bayesian framework identifies the full Pareto frontier of regulatory trade-offs between passengers, drivers, platforms, and government in coupled ridesourcing and taxi markets.
OptimalTransit Hub: An End-to-End Analytics and Optimisation Platform
Fusing multisource transit data into a unified data pipeline that diagnoses service problems and prescribes evidence-based improvements through stochastic optimisation.
The Inverse-Square Rule: Smarter Algorithms, Better Buses
Introducing the Inverse-Square Rule: a mathematical breakthrough that transforms bus timetable optimization, achieving 36-45% cost reductions where traditional solvers fail.
Passengers Matter: Why Transit Assignment is the Key to TfL’s Route Changes
TfL's proposed cuts to routes 19, 38, 259, and 349 reveal a critical gap between operational efficiency and network science. This is not just budgeting—it's a bi-level optimization challenge that demands rigorous mathematical modeling.
All Posts
Buses as Backbone: Franchising, Fleet Renewal, and the Case for Seamless Public Transport in Wales
Wales's new government is betting on bus franchising and fleet modernisation as the backbone of its transport strategy. A reflection on the optimisation challenges ahead.
Disruption at the Gate: Call for Network Resilience and Bus Bridging
A sudden infrastructure failure near Purley stranded thousands of Gatwick travelers, presenting a classic real-time network resilience and bus bridging challenge.
Routing and Scheduling in Home Health Care: The Power of Online Time Slot Selection
How a novel bi-level optimization and Adaptive Large Neighborhood Search (ALNS) framework addresses the emerging challenge of online time slot booking in home healthcare routing.
Who Wins When Uber and Taxis Compete? The Case for Pareto-Optimal Regulation
A new bi-level optimisation and Bayesian framework identifies the full Pareto frontier of regulatory trade-offs between passengers, drivers, platforms, and government in coupled ridesourcing and taxi markets.
OptimalTransit Hub: An End-to-End Analytics and Optimisation Platform
Fusing multisource transit data into a unified data pipeline that diagnoses service problems and prescribes evidence-based improvements through stochastic optimisation.
AI-Enhanced Carbon Management: A Strategic Leap Beyond Compliance
Transforming carbon reporting from a retrospective compliance burden into a prospective strategic asset using Large Language Models and Stochastic Optimization.
Beyond the Savings: How Scotland's Youth Bus Fares Shape Travel Behavior
Young Scots save hundreds on bus travel compared to the rest of the UK. But the real story isn't just about money—it's about how fare policy shapes long-term travel behavior and sustainable mobility choices.
The Inverse-Square Rule: Smarter Algorithms, Better Buses
Introducing the Inverse-Square Rule: a mathematical breakthrough that transforms bus timetable optimization, achieving 36-45% cost reductions where traditional solvers fail.
Fares, Funding, and Future: A Passenger-Centric Perspective on Rail Subsidy
Rising rail revenue is reducing government subsidy, but is a simple fare hike the right strategy? My research suggests understanding passenger behavior and demand elasticity is key to financial equilibrium.
Passengers Matter: Why Transit Assignment is the Key to TfL’s Route Changes
TfL's proposed cuts to routes 19, 38, 259, and 349 reveal a critical gap between operational efficiency and network science. This is not just budgeting—it's a bi-level optimization challenge that demands rigorous mathematical modeling.
The '13-Amp' Bottleneck: Overcoming Power Grid Limitations in Bus Electrification
Addressing the power grid bottleneck in London's electric bus transition through Integrated Bus and Charging Schedule Optimization.
Expert Review: Redesigning City Bus Networks - Frequency vs. Coverage
A deep dive into recent public transport overhauls and the optimization challenges behind frequency vs coverage trade-offs.
Evaluating Manchester’s Bee Network: Data-Driven Insights and Optimization Opportunities
Overview of the Manchester Bee Network with data-driven insights to improve patronage and mode share.