activity
20132023
most citedThe Propensity to Cycle Tool: An open source online system for sustainable transport planning

102 citations · 139 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CY2023

Packaging code for reproducible research in the public sector

Federico Botta, Robin Lovelace, Laura Gilbert +1

The effective and ethical use of data to inform decision-making offers huge value to the public sector, especially when delivered by transparent, reproducible, and robust data proc…

physics.soc-ph2021★ 8 cited

A Road Segment Prioritization Approach for Cycling Infrastructure

Hussein Mahfouz, Elsa Arcaute, Robin Lovelace

Understanding the motivators and deterrents to cycling is essential for creating infrastructure that gets more people to adopt cycling as a mode of transport. This paper demonstrat…

stat.AP2020★ 19 cited

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

Andrea Gilardi, Jorge Mateu, Riccardo Borgoni +1

Road traffic casualties represent a hidden global epidemic, demanding evidence-based interventions. This paper demonstrates a network lattice approach for identifying road segments…

cs.CY2015★ 102 cited

The Propensity to Cycle Tool: An open source online system for sustainable transport planning

Robin Lovelace, Anna Goodman, Rachel Aldred +3

Getting people cycling is an increasingly common objective in transport planning institutions worldwide. A growing evidence base indicates that high quality infrastructure can boos…

stat.ME2014★ 10 cited

Geotagged tweets to inform a spatial interaction model: a case study of museums

Robin Lovelace, Nick Malleson, Kirk Harland +1

This paper explores the potential of volunteered geographical information from social media for informing geographical models of behavior, based on a case study of museums in Yorks…

stat.ME2013

`Truncate, replicate, sample': a method for creating integer weights for spatial microsimulation

Robin Lovelace, Dimitris Ballas

Iterative proportional fitting (IPF) is a widely used method for spatial microsimulation. The technique results in non-integer weights for individual rows of data. This is problema…