Robin Lovelace

Associate Professor in Transport Data Science

University of Leeds

United Kingdom

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Robin Lovelace is an Associate Professor in Transport Data Science at the University of Leeds, UK. His research areas include the analysis of public transport and cycling trips, traffic collision modeling, and strategic cycle network planning. Recent publications highlight his expertise in using data-driven approaches to enhance urban transport systems and improve road safety.

Articles (19)

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2025

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2021

Collaborators (5)

Gerardo Zavala

Lecturer

University of York

UNITED KINGDOM

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Amanda J. Mason-Jones

Associate Professor in Global Public Health

University of York

UNITED KINGDOM

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Eva Heinen

Technische Universität Dortmund

GERMANY

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Roger Beecham

University of Leeds

UNITED KINGDOM

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Yuanxuan Yang

Lecturer in Data Science of Transport

University of Leeds

UNITED KINGDOM

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Robin Lovelace

Research Interests

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Articles (19)

Delineating potential DRT operating areas: An origin–destination clustering approach

Modelling of Traffic Collisions at Road Intersections in Cape Town, South Africa: A Bayesian Spatio-Temporal Approach

Reproducible methods for modeling combined public transport and cycling trips and associated benefits: Evidence from the biclaR tool

Packaging code and data for reproducible research: A case study of journey time statistics

Build it but will they come? Exploring the impact of introducing contraflow cycling on cycling volumes with crowd-sourced data

Cycle route uptake and scenario estimation (CRUSE): an approach for developing strategic cycle network planning tools

A Framework for Inserting Visually Supported Inferences into Geographical Analysis Workflow: Application to Road Safety Research

Connected bikeability in London: Which localities are better connected by bike and does this matter?

Contraflows and cycling safety: Evidence from 22 years of data involving 508 one-way streets

Where to invest in cycle parking: A portfolio management approach to spatial transport planning

Road lighting and cycling: A review of the academic literature and policy guidelines

A road segment prioritization approach for cycling infrastructure

Correction to: Severe and Fatal Cycling Crash Injury in Britain: Time to Make Urban Cycling Safer

Severe and Fatal Cycling Crash Injury in Britain: Time to Make Urban Cycling Safer

Is cycling infrastructure in London safe and equitable? Evidence from the cycling infrastructure database

Multivariate hierarchical analysis of car crashes data considering a spatial network lattice

Jittering: A Computationally Efficient Method for Generating Realistic Route Networks from Origin-Destination Data

Active Travel Oriented Development: Assessing the suitability of sites for new homes

Open source tools for geographic analysis in transport planning

Collaborators (5)

Gerardo Zavala

Amanda J. Mason-Jones

Eva Heinen

Roger Beecham

Yuanxuan Yang

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