Publications

Introduction: The benefits of active travel are well-established. While previous research has explored how built environment factors …

Mode shift to cycling is a policy objective in many countries. However, cycling infrastructure designs often fail to produce the …

We present spanishoddata, an R package that enables fast and efficient access to Spain’s open, high-resolution origin-destination human …

Investment in Demand-Responsive Transport (DRT) has emerged as a sustainable transport intervention option for areas that are …

Route network datasets are fundamental to transport models, serving as both inputs for analysis and outputs for visualization and …

This paper models road traffic collision counts recorded between 2015 and 2019 in a ward located in the central part of Cape Town in …

A high proportion of car trips can be replaced by a combination of public transit and cycling for the first-and-last mile. This paper …

Geocomputation with Python is an open source book providing a comprehensive guide to working with geographic data in Python. Covering …

This paper presents a new density-based clustering algorithm, ST-DBSCAN, which is based on DBSCAN. We propose three marginal extensions …

This paper describes an approach for developing strategic cycle network planning tools. Based on our experience developing and …

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

This study uses data from Operation Snap (OpSnap), the UK police’s national system to receive road users’ video evidence of road …

Spatial interaction models (SIMs) are a core tool in spatial data modelling to predict spatial flows and understand their underpinning …

Route network datasets, crucial to transport models, have grown complex, leading to visualization issues and potential …

Contraflow cycling on one-way streets is a safe, low cost intervention that can improve the cycling experience. The evidence of its …

Many studies have explored the impact of macro and meso attributes of the built environment — such as population density, land use, …

Understanding the motivators and deterrents to cycling is essential for creating infrastructure that gets more people to adopt cycling …

A lack of cycle parking is a known barrier to promoting the uptake of cycling in urban areas. Unlike cars that can be parked on the …

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

The Propensity to Cycle Tool (PCT) has revolutionised strategic cycle planning in England and Wales. This evidence-based tool …

Contraflow cycling on one-way streets is a low cost intervention that research shows can improve the cycling experience and increase …

The location of new housing developments, and the provision of safe space for walking and cycling to key destinations around them, have …

Timaite, G., Hulse, J., & Lovelace, R. (2022). OSM for sustainable transport planning. In: Minghini, M., Liu, P., Li, H., …

Introduction We describe and analyse a new, open dataset of surveyed cycling infrastructure in London UK. We demonstrate its potential …

Origin-Destination (OD) datasets provide vital information on how people travel between areas in many cities, regions and countries …

Zones are the building blocks of urban analysis. Fields ranging from demographics to transport planning routinely use zones - spatially …

Origin-destination (OD) datasets are often represented as ‘desire lines’ between zone centroids. This paper presents a ‘jittering’ …

Pedal cycling is advocated for increasing physical activity and promoting health and wellbeing. However, whilst some countries have …

Origin-destination (OD) datasets are widely available but transport interventions require network level data. OD-‘desire …

Det er to hovedformål med denne studien. Det første er å modellere potensialet for økt sykling i Trondheim og på Nord-Jæren ved bruk av …

Road traffic casualties represent a hidden global epidemic, demanding evidence-based interventions. This paper demonstrates a network …

Road safety research is a data-rich field with large social impacts. Like in medical research, the ambition is to build knowledge …

Introduction Previous studies have found a positive association between cycling injury risk and residential deprivation. However, most …

Geographic analysis has long supported transport plans that are appropriate to local contexts. Many incumbent ‘tools of the trade’ are …

One of the main challenges for policymakers aiming to promote cycling in car-oriented transport systems is how to increase social …

Introduction The Propensity to Cycle Tool (PCT) is a widely used free, open source and publicly available tool for modelling cycling …

This paper presents a new density-based clustering algorithm, ST-DBSCAN, which is based on DBSCAN. We propose three marginal extensions …

The location of new housing developments, and the provision of safe space for walking and cycling to key destinations around them, have …

The development and delivery of ICT-based persuasive strategies for the adoption of more environmental-friendly modes of transport is …

A large and growing body of evidence suggests fundamental changes are needed in transport systems, to tackle issues such as air …

Pro-cycling interventions, and cycle hire schemes in particular, are often assumed to primarily benefit the privileged. This framing …

In the context of reduced public transport capacity in the wake of the COVID-19 pandemic, governments are scrambling to enable walking …

The London Congestion Charge (LCC) is a transport policy with a precise spatial footprint. As such, its impact on the transport system …

The idea of this project is to compare stplanr and dodgr approaches to street networks in R. This is a draft for the paper. …

Cycling has a range of benefits as is recognised by national and international policies aiming to increase cycling rates. Darkness acts …

BackgroundThere is a paucity of population-based geospatial data about the association between active transport and myocardial …

$<$p$>$Open access data, open source software and cloud computing are three parallel and mutually reinforcing drivers of change …

Route network datasets, crucial to transport models, have grown complex, leading to visualization issues and potential …

Background The Propensity to Cycle Tool (PCT) is a freely available, interactive tool help prioritise cycling initially launched in …

stplanr - R package providing functions and data access for transport research

Geocomputation with R is an open source book on geographic data analysis, visualization, and modeling with R. Described as ‘a …

When extreme weather events occur, people often turn to social media platforms to share information, opinions and experiences. One of …

Background Cycling to school has large potential health benefits, ensuring children get regular daily exercise. This paper demonstrates …

Car fleets across much of Europe have undergone a process of dieselisation over the past 20,years. Understanding the factors driving …

Background A modal shift to cycling has the potential to reduce greenhouse gas emissions and provide health co-benefits. Methods, …

stplanr - R package providing functions and data access for transport research

The London Congestion Charge (LCC) is a transport policy with a precise spatial footprint. As such, its impact on the transport system …

Background Planners and politicians in many countries seek to increase the proportion of trips made by cycling. However, this is often …

In many large Latin American urban areas such as the São Paulo Metropolitan Region (SPMR), growing social and economic inequalities are …

{$<$}p{$>$}Open access data, open source software and cloud computing are three parallel and mutually reinforcing drivers of …

Getting people cycling is an increasingly common objective in transport planning institutions worldwide. A growing evidence base …

Established methods for synthesising a population from geographically aggregated data are robust and well understood. However, most …

More captivating than any sci-fi book I’ve ever read.

Large and unofficial data sets, for instance those gathered from social media, are increasingly being used in geographical research and …

Understanding the motivators and deterrents to cycling is essential for creating infrastructure that gets more people to adopt cycling …

stplanr - R package providing functions and data access for transport research

In the context of reduced public transport capacity in the wake of the COVID-19 pandemic, governments are scrambling to enable walking …

There has been much excitement among quantitative geographers about newly available data sets, characterized by high volume, velocity, …

Learn the fundamentals for R programming and gain the tools needed for doing data science.

Cycling has a range of health, environmental and economic benefits compared with motorised forms of transport. There is a need to …

Iterative Proportional Fitting (IPF), also known as biproportional fitting, ‘raking’ or the RAS algorithm, is an established procedure …

Background It is important to model the determinants of mode choice for many health-related reasons: to find-out what is holding people …

The Propensity to Cycle Tool (PCT) has revolutionised strategic cycle planning in England and Wales. This evidence-based tool …

The parliamentary debate on cycling was a wake-up call to the government on cycling. The coalition government has been floundering, …

This paper presents a new density-based clustering algorithm, ST-DBSCAN, which is based on DBSCAN. We propose three marginal extensions …

Sustainability in Sheffield and beyond

This paper reviews research traditions of vulnerability to environmental change and the challenges for present vulnerability research …

In this podcast, ICE’s Adam Kirkup interviews~Dr. Robin Lovelace, University of Leeds, discussing the development of the …

Pro-cycling interventions, and cycle hire schemes in particular, are often assumed to primarily benefit the privileged. This framing …

Creating and maintaining large spatial address datasets to an exceptional standard of currency and accuracy requires specialist skills …

Information on the marginal external costs method in transport modelling and appraisal.

Estimates of the volume of travel between zones or locations is often a necessary step in transportation studies. This paper suggests a …

stplanr - R package providing functions and data access for transport research

More captivating than any sci-fi book I’ve ever read.

This paper presents a new density-based clustering algorithm, ST-DBSCAN, which is based on DBSCAN. We propose three marginal extensions …

This paper explores the potential for emerging methods Machine Learning and Directed Acyclic Graphs (DAGs) to be applied to transport …

This paper presents a new density-based clustering algorithm, ST-DBSCAN, which is based on DBSCAN. We propose three marginal extensions …

Zones are the building blocks of urban analysis. Fields ranging from demographics to transport planning routinely use zones { …

Origin-destination (OD) datasets are widely available but transport interventions require network level data. OD-‘desire …

This tutorial is an introduction to spatial data in R and map making with R’s base' graphics and the popular graphics package …

Sustainability in Sheffield and beyond