SATURN: Supporting Active Travel Using Road-lighting at Night
Lead Research Organisation:
University of Sheffield
Department Name: Architectural Studies
Abstract
Cycling is good for the cyclist and is good for society in general. People who cycle rather than drive improve their physical fitness and general health. Cycling rather than driving reduces air pollution, reduces carbon emissions and reduces traffic congestion. It also benefits local economies, as research shows cycling-friendly neighbourhoods encourage more use of local shops. Savings to public health costs through increased physical activity also means cycling benefits the national economy. The UK Government has recognised the benefits of cycling, particularly in response to the Covid-19 pandemic, through increased investment in cycling infrastructure and a new strategy to promote cycling.
Darkness puts some people off cycling, particularly women. For those who do cycle at night, there is a greater risk of being involved in a crash. Road lighting can mitigate both of these problems. Road lighting can improve the visibility of cyclists to drivers and thus reduce the frequency and severity of road traffic collisions. Road lighting encourages people to cycle when it is dark - they feel safer. However we do not know what lighting conditions best meet the needs of cyclists. Existing evidence about lighting for cyclists is weak, and current guidance about lighting for cyclists is based on out-of-date standards that focus on the needs of pedestrians rather than cyclists.
SATURN (Supporting Active Travel Using Road-lighting at Night) will provide evidence to help find the best lighting conditions for cycling, to both encourage people to cycle after-dark and to make them safer.
We will first measure the effect of darkness (compared with daylight) on the number of people cycling and the number of vehicle collisions involving a cyclist. This will be done using a method of analysis that isolates the effect of lighting from other influential factors, a method we have refined in recent pilot studies. We will use cyclist count and collision data for a range of locations in 6 major cities. These data will come from a number of sources including automated cyclist counters, crowdsourced cycling trip data and the national database of road collisions. This will tell us the size of the effect darkness has on cycling rates and collision risk at each location. We will then compare this to metrics of the lighting at each of the locations, measured using a mobile array of sensors and backed up using existing night-time aerial photography images. This comparison will reveal the relationship between lighting and cycling rates and safety, allowing us to identify the most appropriate lighting levels to support cycling.
Results from this analysis of cycling rates, collision rates and lighting will be added to the Cycling Infrastructure Prioritisation Toolkit (CyIPT), a Department for Transport-funded online tool for helping local transport planners develop and prioritise decisions about cycling infrastructure in their local area. This will help ensure SATURN has real impact and influences transport planning decisions related to cycling infrastructure. We will also use the SATURN findings to influence revisions to national and international road lighting standards, to ensure these standards take account of the needs of cyclists using the best available evidence.
Darkness puts some people off cycling, particularly women. For those who do cycle at night, there is a greater risk of being involved in a crash. Road lighting can mitigate both of these problems. Road lighting can improve the visibility of cyclists to drivers and thus reduce the frequency and severity of road traffic collisions. Road lighting encourages people to cycle when it is dark - they feel safer. However we do not know what lighting conditions best meet the needs of cyclists. Existing evidence about lighting for cyclists is weak, and current guidance about lighting for cyclists is based on out-of-date standards that focus on the needs of pedestrians rather than cyclists.
SATURN (Supporting Active Travel Using Road-lighting at Night) will provide evidence to help find the best lighting conditions for cycling, to both encourage people to cycle after-dark and to make them safer.
We will first measure the effect of darkness (compared with daylight) on the number of people cycling and the number of vehicle collisions involving a cyclist. This will be done using a method of analysis that isolates the effect of lighting from other influential factors, a method we have refined in recent pilot studies. We will use cyclist count and collision data for a range of locations in 6 major cities. These data will come from a number of sources including automated cyclist counters, crowdsourced cycling trip data and the national database of road collisions. This will tell us the size of the effect darkness has on cycling rates and collision risk at each location. We will then compare this to metrics of the lighting at each of the locations, measured using a mobile array of sensors and backed up using existing night-time aerial photography images. This comparison will reveal the relationship between lighting and cycling rates and safety, allowing us to identify the most appropriate lighting levels to support cycling.
Results from this analysis of cycling rates, collision rates and lighting will be added to the Cycling Infrastructure Prioritisation Toolkit (CyIPT), a Department for Transport-funded online tool for helping local transport planners develop and prioritise decisions about cycling infrastructure in their local area. This will help ensure SATURN has real impact and influences transport planning decisions related to cycling infrastructure. We will also use the SATURN findings to influence revisions to national and international road lighting standards, to ensure these standards take account of the needs of cyclists using the best available evidence.
Organisations
Publications
Uttley J
(2021)
The effect of changes in light level on the numbers of cyclists
Uttley J
(2023)
CYCLIST FATALITIES INCREASE ON UNLIT ROADS
Uttley J
(2023)
THE EFFECT OF CHANGES IN LIGHT LEVEL ON THE NUMBERS OF CYCLISTS
in Lighting Research & Technology
Uttley J
(2023)
The effect of changes in light level on the numbers of cyclists
in Lighting Research & Technology
| Description | We have developed and refined a method for assessing the impact of darkness on the number of people who cycle. This uses a case and control method to calculate an odds ratio as a measure of the effect darkness has on cycling rates. We compare counts of cyclists under daylit and after-dark conditions, controlling for the time-of-day and seasonal influences by using specific 'case' and 'control' hours. Our work has further refined this method by using all possible case and control hours, to overcome sensitivity in the results due to which case and control hours are selected. A key finding of our work has been that the effect of darkness varies depending on the city and country, and also varies depending on the location within a city. We have begun exploring explanations for this variation in the effect of darkness, and have identified one important potential cause as the types of journey that are being made by cyclists. Utilitarian cyclists are less deterred by darkness than recreational cyclists, and this is reflected when we compare odds ratios for weekend versus weekday cycling. A further potential explanation for variation in the effect of darkness on cycling rates is the lighting that is present, and we are now exploring this by carrying out surveys of lighting at different locations to compare against cycling rates and the influence darkness has on these cycling rates. Current work has led us to develop a model that predicts the influence of darkness on cycling rates at specific locations within a city. This model currently incorporates the presence or absence of lighting as a predictor, alongside the proportion of recreational cycle journeys that are likely to take place at the location, the distance from the city centre, and the total number of cyclists at that location. The model has been shown to predict the variable influence of darkness on cyclist rates with reasonably good accuracy. We are now developing this model using data from other cities, and incorporating a more detailed measure of the lighting at a location. |
| Exploitation Route | Our results will inform future development of lighting standards aimed at cyclists. The results can also be used by those involved in designing and implementing cycling infrastructure, to help ensure this infrastructure is appropriate to encourage cycling after dark as well as during daylight. |
| Sectors | Communities and Social Services/Policy Energy Environment Transport |
| URL | https://lightingresearchgroup.sites.sheffield.ac.uk/projects/saturn |
| Description | Our results are being used to inform future development of lighting standards aimed at cyclists. This work is taking place through production of a Technical Note for the International Commission on Illumination (CIE), via the DR4-54 'Lighting for cyclists' reportership, which is being led by the PI of the funded project. |
| First Year Of Impact | 2023 |
| Sector | Communities and Social Services/Policy,Energy,Environment,Transport |
| Impact Types | Policy & public services |
