Urban Logic
[02]
Transport Simulation
[Desciption]
An agent-based simulation model assessing the environmental and economic feasibility of integrating accelerated moving walkways into public transport networks. Evaluated passenger throughput, energy efficiency, and cost-benefit indicators under various deployment scenarios.
[Model Objective]
This model tests the environmental and economic validity of integrating Accelerated Moving Walkways (AMW) into an existing urban public transport network. Using the London Bridge–Bank corridor in Central London as a case study, it simulates commuter behaviour across six transport modes and introduces AMW as a seventh option — predicting its adoption rate and quantifying the resulting shifts in energy consumption, CO2 emissions, and total travel time. The framework is transferable to any dense urban corridor where pedestrian volumes and multimodal competition make AMW a candidate for consideration.
MSc Thesis
2016
Moving Walkway Feasibility Evaluation Model
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The model monitors predicted AMW mode share, shifts across all competing modes, CO2 emissions, energy consumption, and total travel time. Across nine tested scenarios, AMW attracted around 39% of commuters — mostly from walking and tube users. Energy consumption dropped by approximately 21%, CO2 emissions by 16%, and total travel time fell by up to 21%. Calibrated to a new corridor, the model can run the same sensitivity analysis across speed and pricing configurations.
[Model Components]
Commuter agents with Poisson arrival distribution · Six calibrated transport modes (bus, car, tube, cycle, walk, AMW) · Mixed Logit utility function updating in real-time from agent experience · OptQuest-based parameter optimisation
[Model Results]
The model monitors predicted AMW mode share, shifts across all competing modes, CO2 emissions, energy consumption, and total travel time. Across nine tested scenarios, AMW attracted around 39% of commuters — mostly from walking and tube users. Energy consumption dropped by approximately 21%, CO2 emissions by 16%, and total travel time fell by up to 21%. Calibrated to a new corridor, the model can run the same sensitivity analysis across speed and pricing configurations.
[Model Components]
Agent-Based Modelling · Discrete Event Modelling · Mixed Logit Decision Utility Function · OptQuest Parameter Optimisation · Mode Share Calibration · Multi-Scenario Experiment Design (9 scenarios: 3 AMW speeds × 3 pricing schemes)
[Tags]
["ABM", "Public Transport", "Feasibility Analysis", "Mobility", "AnyLogic"]