Understanding the evidence on the impact of low-traffic neighbourhoods (LTNs) on cities and communities is an important part of their successful delivery. This page provides a handy reference list of existing research on low-traffic neighbourhoods to meet the evidence needs of any practitioners implementing them.
The evidence listed here covers topics that commonly feature in discussions around the delivery of low-traffic neighbourhoods. We also provide links to the original research.
The evidence on this page covers the following topics:
The paper was carried out by Cairns, S., Atkins, S., and Goodwin, P., in 2001.
It reviews over 70 case studies and collates expert opinions to assess the perception and impact of traffic volumes and travel behaviour change resulting from road space re-allocation schemes.
This study by Aldred and Goodman looks at trends in car ownership and active travel among LTN residents between 2016 and 2019.
The research captures the evidence on whether low-traffic neighbourhoods are associated with an increase in walking and cycling and a decrease in car use among residents in LTN areas of Outer London.
This comprehensive dataset shows the impact this scheme had on traffic reduction, with the data originally published in this report.
In November 2020, Hackney Council released this early analysis of traffic levels on main roads adjacent to recently installed LTNs to examine potential traffic displacement.
The page includes a link to the complete traffic dataset used in the analysis.
It measures the change in traffic levels, with further evidence to be published on the scheme’s Commonplace page in early 2021.
The report compares cycling before and after the introduction of a Streetspace scheme.
The research includes a comparison to a ‘control site’ where no modal filters were introduced.
It examines the active travel and physical activity impacts of active travel investment in outer London.
The comparison looks at changes in the amount of time spent walking and cycling and general physical activity levels in the local population.
Waltham Forest, a borough within the study, conducted air quality measurements pre and post the introduction of an extensive LTN scheme.
View the changes in Nitrogen Dioxide exposure within the borough published by air quality consultants (2018).
A two-part study by Kings College London in 2018 modelled the potential health improvements for Waltham Forest residents as a result of the LTN implementation.
The first report is a health assessment based on changes in air quality.
And the second report is a health assessment based on changes to the populations active travel habits.
The research has been carried out using police data from Waltham Forest.
It examines police street crime data from 2012 to 2019 to understand how this was affected by the introduction of LTNs in the area.
This includes overall street crime as well as different categories such as violence and sexual abuse and bicycle theft.
There's lots of research and evidence to support low-traffic neighbourhoods and the positive impact they can have on communities.
A useful resource on the economic benefits of walking and cycling is the repository of evidence compiled by Transport for London (TfL).
The page has a range of evidence and case studies from London and elsewhere.
And this includes a handy summary pack on the economic benefits of walking and cycling.
This blog presents the response time data from the Waltham Forest Fire Brigade before and after a number of LTN road closures.
The raw Fire Brigade response time data from Waltham Forest from 2011/12 to 2015/2016 can be accessed from their Freedom of Information request.
The impact of LTNs on emergency response times and patient safety
This was discussed at the London Ambulance Service Trust Annual Public Meeting on 29 September 2020.
The recording of the session (see from 1:07:33 to 1:10:19) shows the response of the London Ambulance Service Trust to recent installations of LTNs in London.
This topic is explored comprehensively by Anna Goodman et al. (2020) in their working paper.
And you can see the findings presented in the Transport findings journal.
There is also research that uses an updated dataset from 2012-2020 to explore Fire Brigade response times and reasons for delays in Waltham Forest.
In November 2020 Cycling UK conducted a freedom of information request to the 12 UK ambulance trusts.
The trusts were asked:
- to identify any active travel schemes introduced without their consultation
- to identify any active travel schemes that caused emergency response delays and any outstanding problems relating to such schemes.
- Whether they supported the principle of such active travel measures or their withdrawal.
This report by the Sustainable Development Commission explores the existing inequalities in the UK transport system.
It analyses current travel patterns and how the system serves the most vulnerable groups in society in comparison to those of the top socio-economic groups.
For example, the report compares statistics such as likelihood to own a car or be killed on the roads among these groups.
It also includes key statistics on the transport behaviour of disabled, young, older, low income, Black, Asian and other minority groups.
For London-specific data, this report examines qualitative and quantitative research on the barriers to accessing public transport by seven groups of Londoners.
The groups include:
- Black, Asian and Minority Ethnic (BAME)
- gender (women and men)
- older Londoners (aged 65+)
- younger Londoners (aged 24 and under)
- disabled Londoners
- Londoners on low incomes
- and lesbian, gay and bisexual (LGB) Londoners.
Each population group is discussed separately in the report.
In November 2020, Aldred and Verlinghieri published a report which looks at how equitably low-traffic neighbourhoods have been distributed.
They examine where in London LTNs have been implemented (between March and September 2020), and disparities between boroughs.
In addition, they conducted a demographic analysis of travel survey data comparing residents of residential and minor roads (where LTNs are most likely to be implemented) and main roads or high streets.
This compares four protected characteristics:
- age group
- income group
- ethnic group
- and disability status.
Published in January 2021 by Transport for All.
This report explores how disabled people have been impacted by LTNs installed during the Covid-19 pandemic.
Results are based on qualitative interviews conducted with over 85 disabled participants from across the impairment groups.
The report explores:
- the barriers disabled people face to active travel
- the impact of LTNs on disabled people
- reflections on the engagement, consultation and EQIA process
- recommendations for the future.
The Department of Transport has published statistics of road traffic trends across GB in this report.
The document analyses the long term changes of road traffic across different road networks, including key trends of traffic on minor/urban roads.
This article from the Guardian reviews the changes in background levels of traffic on quiet roads to assess rat-running.
This Government report provides an in-depth analysis of car usage and ownership in London.
The report includes statistics on the purposes and lengths of car trips made by Londoners, calculating the proportion of all car trips that could be quicker if done by bike or foot.
Further evidence on potential modal shift can be found in Transport for London's Analysis of Cycling Potential 2016 report which analyses current travel patterns and identifies the potential for growth in cycle travel in London.
Within London, a 2020 study by Goodman et al. examined whether active travel interventions, including LTNs, have had an impact on car ownership in the capital.
The research examined vehicle registration data from 2015-2019 in Outer London boroughs to understand if LTNs have had an impact on motor-vehicle use.
Public opinion reports
A team of researchers at the University College of Berkeley examined the impact of wayfinding routes on traffic flows, including how the use of apps affects the amount of vehicle traffic on local neighbourhood streets.
This is a 2019 UK-based study by Rachel Aldred using police injury data captured between 2005 and 2015.
This analysis of pedestrian and cyclist injuries on urban minor roads adds to the picture of road safety on residential streets.
Published by Transport for London (TfL), it includes statistics on injuries and collisions on neighbourhood roads using data from between 2016 and 2018.
This evidence is related to maps of the current state of traffic and road danger reduction in residential neighbourhoods across London published in TfL’s Strategic Neighbourhood Analysis in June 2020.
The report analyses residential neighbourhoods across the capital to gauge the potential for LTNs in each area.
The Strategic Neighbourhood Analysis includes two maps of through traffic and walking and cycling collisions within residential neighbourhoods in the capital.
Using data from Waltham Forest, Goodman et al. examined STATS19 police data from 2012-2019 to understand the road safety impacts of LTNs through injury numbers.
This page is intended as a reference list and useful starting point for understanding the evidence on low-traffic neighbourhoods (LTNs) to support their successful delivery.
By providing links to the original research, our hope is that this encourages practitioners to engage with the evidence on low-traffic neighbourhoods.
Understanding the evidence on the impact of LTNs is an important part of making the case for their successful delivery.
This page is a central point to refer back to when the need for evidence arises as part of the delivery process but is just one of a number of useful resources available.