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UOL

Inclusive Streets by Design: System-Level Impacts on Mobility-Impaired Individuals Using Agent-Based Modelling

University of Liverpool Department of Geography and Planning
✓ Fully Funded ⏰ Closing Soon 🎓 Human geography 🎓 Transport Geography agent-based modelling urban permeability mobility impairment geovisualisation street design inclusive mobility urban analytics

Develop an agent-based model and interactive tool to evaluate how street design changes impact people with impaired mobility. Explore urban permeability and road-user interactions to improve inclusivity in city planning. Use Liverpool as a case study to create policy-relevant outputs.

AI-generated overview

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Why This Research Matters

This research is critical for enabling equitable urban mobility for individuals with impaired movement, addressing gaps in planning tools that often overlook these populations. By integrating modelling and visualization, it equips policymakers with evidence-based tools to design safer, more accessible streets, enhancing participation and dignity for all city inhabitants.

Urban mobility Agent-based Modelling pedestrians cognitive maps transport networks

Project Description

Project Overview

Street design strongly influences who can move safely through a city and access opportunities. This project focuses on making street space more inclusive for individuals with impaired mobility, such as wheelchair users, older adults, and those with walking aids. While measures like step-free access and tactile guidance exist, credible decision-making tools that consider all road users—especially those with mobility impairments—are urgently needed.

This project advances an integrated urban design decision framework that measures the impact of street interventions on urban permeability, pedestrian and vehicular interactions, and access at the street-segment scale. Outputs will be communicated effectively for policymakers, local authorities, and communities.

What You Will Do

The candidate will develop an Agent-Based Model (ABM) to quantify how redesigning streets for impaired mobility alters movement patterns. Alongside, they will create a 2.5D policy-centred interactive geovisualisation tool to present these findings in an actionable format. The work involves collaboration with the Liverpool City Region Combined Authority and consultation with organisations advocating disabled rights.

This research builds on existing projects using street view imagery to detect accessibility obstacles and will extend these methods for greater impact.

Expected Outcomes

The project will deliver a novel, impairment-aware decision-making framework integrating ABM and geovisualisation to help reshape urban design priorities. It aims to improve equitable access and safety in street environments and provide planners with spatial tools to better accommodate mobility-impaired users.

Why This Matters

Inclusive street design is vital for equitable participation and dignity in urban life. By accounting for the full range of road users, especially those with impaired mobility, this research contributes to societal commitments to accessibility. It supports local authorities and policymakers with evidence and tools to create more permeable, safe, and accessible urban spaces.

Entry Requirements

Candidates should hold or expect to obtain an MSc or MD in Urban Geography, Geoinformatics, Geographic Data Science, Urban Analytics, Computer Science or equivalent. Outstanding BSc candidates may be considered. Proficiency in Python, R, or Java scripting is required. Strong motivation for Agent-Based Modelling is expected; prior experience is not required.

How to Apply

Apply online registering for Geography (Desk based) - Doctor in Philosophy (PhD), selecting Research Degree (MPhil/PhD/MD), full-time study, and admission term Academic Year 2026–27. Include project title and reference SOES005 in your application and in Research Degree - Additional Information. Deadline: 2026-04-15 or earlier if suitable candidate found. Contact Dr. Gabriele Filomena at Gabriele.filomena@liverpool.ac.uk with subject 'SOES005' for queries.

Eligibility

UK/Home
EU
International

Supervisor Profile

DG
Dr Gabriele Filomena
University of Liverpool, Department of Geography and Planning
689 Citations
9 h-index
Google Scholar

Dr Gabriele Filomena is a University of Liverpool researcher focused on urban mobility and agent-based modelling of pedestrian movement patterns. His work includes evaluating transport networks and cognitive mapping of urban spaces. He investigates how urban environments can be shaped to improve accessibility and inclusiveness for diverse populations, with recognized contributions in agent-based approaches to urban geography.

Key Publications

2022 264 citations
Entropy of city street networks linked to future spatial navigation ability
2019 224 citations
A computational approach to ‘The Image of the City’
2021 48 citations
Modelling the effect of landmarks on pedestrian dynamics in urban environments
2021 39 citations
A spatial model of cognitive distance in cities
2020 32 citations
Perception of urban subdivisions in pedestrian movement simulation

Research Contributions

Linked entropy measures of city street networks to individuals' future spatial navigation abilities.
Helps improve understanding of urban navigation and can assist urban planners in designing more navigable cities.
Developed computational frameworks to model 'The Image of the City' concept.
Enables quantitative analysis of urban environments influencing pedestrian perceptions and behaviors.
Modeled the effects of landmarks on pedestrian movement and dynamics within urban settings.
Informs design of urban spaces to facilitate pedestrian flow and enhance navigation.
Created spatial models to quantify cognitive distance in city environments affecting pedestrian behaviors.
Supports advanced simulations for urban planning and crowd management using cognitive spatial factors.

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