Home » Blog

Propensity to Cycle Tool Hackathon

A hackathon was organised by Robin Lovelace and the rest of the PCT team to allow ‘advanced users’ to play around with the tool and come up with ideas for its future development. This follows the desire expressed by the team that the open source nature of the tool will increase its usefulness (Lovelace et al. 2017):

During the event participants learned about how the tool worked, building on a repository of reproducible code and data at https://github.com/npct/pct-demo

Attendees included representatives from academia, the public sector and transport planning consultancy Systra, who are using the the PCT to plan for a strategic cycling in the Northeast.

There were some excellent ‘hacks’ done on the PCT as illustrated below:

BikeSafety demonstrated how now visualisation methods could enhance the ability of the PCT to be used to road traffic accidents – as shown in the video embedded below:

VID_20171020_161256384.mp4

 

CyIPT (the Cycling Infrastructure Prioritisation Toolkit) was a pre-existing project that has built on the PCT. Malcolm Morgan from the PCT team demonstrated how overlaying infrastructure data on PCT values could help prioritise new infrastructure:

Malcolm Morgan demonstrating CyIPT

 

NewScenarios was a demonstration of how the PCT can (relatively) easily be used to generate new scenarios. PCT member Anna Goodman and ITS staff Ian Philips presented new scenario generation based on data from you:

Ian Philips presenting new scenarios for the PCT

 

ShortCarJourneys is an app to identify where short car journeys are taking in a city, potentially a vital evidence-base for local planners to help tackle car dependence. Robin Lovelace presented to tool and deployed a small publicly-accessible web application for testing the app:

https://bookdown.org/robinlovelace/shortcarjourneys/

The app can also be seen in action in the photo below:

ShortCarJourneys in action

 

Another hack that was not acted on was to make it easier for users to select all fastest routes passing through a specific point, as illustrated below:

An idea: make it easy to select routes passing through specific points

 

As documented in the PCT Manual, this can currently be done using the Freeze Lines check-box, but this is not well-known or intuitive.

Overall it was a great event and shows there is high latent demand for training courses for the PCT, for practitioners and advanced users alike. More fundamentally it shows that if publicly funded transport models are commissioned to be open source, others can build on them, greatly increasing their value and reducing the ‘opportunity costs’ of creating new tech products.

I’d like to thank everyone who attended for a fantastic event which was not only productive but enjoyable, as illustrated in the final photo of this post:

Reference
Lovelace, R., Goodman, A., Aldred, R., Berkoff, N., Abbas, A., & Woodcock, J. (2017). The Propensity to Cycle Tool: An open source online system for sustainable transport planning. Journal Of Transport And Land Use, 10(1). doi:http://dx.doi.org/10.5198/jtlu.2016.862

Have the young returned to the polls?

Interested in using data for Social Sciences research?  We are currently looking to fund up to twelve projects (£25-50K) across an extensive range of disciplines and research areas – Find out more.

Young people need to vote. They need to get out there. Every vote counts. Educate yourself too. Don’t just vote. Know what you’re voting for, and stand by that.” Nikki Reed, American Actress

One of the oft cited phenomena from the recent 2017 United Kingdom General election has been the rise in the participation by the young in the electoral process. Factors that point to this are an increase in voter registration by the young, greater turnout to vote by the young and an increase in the Labour vote share – since the young have a tendency to vote Labour. This piece addresses the first of these issues, the increase in voter registration and examines whether this can be tied to specific features of the population.

National Picture

Information on the number of registered voters is published at General elections and annually, in December. Those eligible to register to vote in UK General elections are those who are 18 years of age or over on polling day, who are a British, Irish or qualifying Commonwealth citizen and they must be resident at an address in the UK (or a UK citizen living abroad who has been registered to vote in the UK in the last 15 years). EU nationals (that are not Irish or Commonwealth citizens) are not eligible to vote, nor are members of the House of Lords or prisoners.

The summary counts for the number of registered voters in Westminster Parliamentary elections is given here:

Country 5th May 2015 (GE)[1] 1st December 2015[2] 1st December 20162 8th June 2017 (GE)[3] Increase

GE to GE

Growth index
England 38,736,146 37,399,942 38,386,864 39,297,181 561,035 (101.4)
Wales 2,281,754 2,181,841 2,243,919 2,298,161 16,407 (100.7)
Scotland 4,099,532 3,896,852 3,929,963 3,988,441 -111,091 (97.3)
Northern Ireland 1,236,765 1,243,369 1,205,683 1,242,698 5,933 (100.5)
Total 46,354,197 44,722,004 45,766,429 46,826,481 472,284 (101.0)

 

These figures show that following the General election on the 5th May 2015 the size of the electoral register shrunk considerably when counted later that same year. The prospect of no General election for another five years may have provided no motivation for people to maintain their registration. A year later in December 2016, the size had increased (thanks to the intervening European Union membership referendum held on the 23rd June 2016), but it did not recover to the levels seen on the 5th May the previous year. By the time of the recent General election however the size of the register had increased, only modestly, by just 1.0%. But this story of modest increases is not uniform across the UK.

The strongest growth was seen in England with a 1.4% increase whilst in Scotland there was an actual decrease of 2.7%. Ideally, these growths should be put in the context of growth in the national population aged 18 and older, however this would require access to population counts that only covered those eligible to vote, most specifically one that excluded many EU nationals. These counts are not readily available.

Local Picture

These national patterns are apparent when seen on a map. Here the index of growth or decline is shown as a geographic map of Westminster Parliamentary constituencies (WPCs) and as a cartogram. The warmer colours, yellow, orange and red signify an increase in the electorate, whilst the cooler colours of green and blue signify a decrease. These maps clearly identify the differences in the growth within the UK, with only a few WPCs in Scotland showing a growth.

The explanation for this in Scotland might be due to their recent Independence referendum. In Scotland the 2015 General election was run very soon after the 18th September 2014 Independence referendum. The referendum generated a great deal of interest in voting which would have contributed to a subsequent high registration for the 2015 General election. This high level of registration was not maintained to the 2017 General election, causing the apparent decline. Otherwise, hot spots of growth are apparent in Northern England and the South West of England.

Detailed Picture

Thoughts then turn to ask if these local increases in voter registration can be explained by something about the nature of the WPC. Specifically there has been talk in the media that this has been driven by variously: the number of young people in the WPC (aged 18 to 24); the number of students; or the number of young graduates[4]. All these potential factors are characterised by the youth of the population of interest. Unfortunately at registration, no information on the age of the individual is captured (unless they are due to ‘attain’ the age of 18 within the year) so directly investigating these suppositions is impossible. Nevertheless, in what follows, tables and simple scatter diagrams are used to try and tease out any such relationships using secondary data. Firstly population counts are used. However, recent estimates of the population in each WPC, by single year of age, are not consistently available. Here estimates for the 2015 population are used in England and Wales, estimates from 2014 are used in Scotland and estimates from the 2016 used in Northern Ireland. Secondly, the more detailed 2011 census counts are used to provide information on the number of students in each WPC and also the number of highly qualified young graduates in each WPC.

The top 20

The table below list the 20 WPCs with the largest growths in electorate along with these characteristics. Surprisingly the WPC with the largest growth is not a WPC that could be characterised as young or student focused – it is relative new, having been created in 2010 and has returned a Conservative MP with a comfortable majority at all elections. The following five WPCs do however have a predominantly young, well-educated and student population, helping to substantiate the ideas that it is such populations that positively influenced registration. Elsewhere in the top 10, Sheffield Central stands out as another WPC where registrations might have been driven by young students (but notice that the ‘stellar’ proportions seen here for this WPC did not feed through to a ‘stellar’ growth in registrations). So looking at this, the evidence is quite mixed as to whether a young, informed and educated population is driving the increased registration.

Name Growth

GE to GE

Aged 18 to 24 Students Aged 16 to 24 Graduates
Bridgwater and West Somerset 1.109 7% 6% 1%
Leeds North West 1.100 25% 29% 5%
Leeds Central 1.095 24% 25% 5%
Lancaster and Fleetwood 1.084 19% 22% 3%
Colchester 1.078 12% 12% 2%
Liverpool, Riverside 1.078 27% 31% 5%
East Devon 1.076 7% 6% 1%
Sittingbourne and Sheppey 1.075 8% 6% 1%
Sheffield Central 1.072 32% 38% 7%
Rochester and Strood 1.072 10% 8% 2%
Mid Bedfordshire 1.072 7% 8% 2%
Hyndburn 1.070 8% 7% 1%
Lewisham, Deptford 1.069 10% 15% 4%
Wellingborough 1.066 7% 6% 1%
Bradford West 1.066 13% 17% 3%
Bradford East 1.065 9% 10% 2%
Bradford South 1.064 8% 8% 1%
Poplar and Limehouse 1.064 10% 13% 6%
Crewe and Nantwich 1.064 9% 9% 2%
Chatham and Aylesford 1.061 9% 7% 1%

 

More broadly …

Looking outside this top 20 for further support shows that the picture is far from clear. The first scatter plot below is those who are aged 18 to 24, as a share of the population, on the x axis and the growth/decline in registration on the y-axis.

This plot is characterised by a dense ‘ball’ of observations with a scattering of observations to the right. Other than this, there appears to be little structure to this figure to help us understand how the youthfulness of a WPC influences the growth or decline in registrations.

Scatter plots of the proportionate size of the student population and the younger graduate population shows a similar lack of overall structure (note here that a level 4 qualification includes degrees and professional and higher vocational qualifications).

Educated guesses

In trying to understand the variation in voter registration between the two most recent General elections there is clearly a broad geographic pattern, with the Scottish WPCs showing a distinct decline in registrations, Northern Ireland a slight increase and a mixed pattern in England and Wales.

Differences explainable by issues such as history or demography are harder to find. Undoubtedly there are instances of WPCs where it is reasonable to assume that the increase in voter registration is driven by the specific characteristics of the WPCs, particularly in regards to the relative youth of a population. This is evident in the second table of WPCs, growths and population shares. However, this cannot be the complete picture. In the same table, and more widely in the scatter plots, there are instances of WPCs with high growths in turnout that are not youthful. There are also very youthful WPCs where the growth in registration is no way as high as would be expected. So, whilst the youthful population contributed in some WPCs, there are other WPCs where its impact was not felt and still others where the growth in registration came from other factors.

In terms of electoral impact, the registration is just the first stage, voters need to turn up to vote and to cast their vote for their party[5]. There is undoubtedly scope for an examination of the youth vote on turnout and party affiliations.

About the author

Stephen Clark works as a Research Fellow in the Consumer Data Research Data, based at Leeds Institute for Data Analytics. He has worked in the academic, public and private sector, mainly in the field of transport planning. After gaining his PhD in health forecasting he has worked on a variety of projects including: demographic modelling, utilities demand forecasting, consumer data research and understanding political sentiment.

Feature image by secretlondon123 from the Londonist Flickr pool.

[1] General Election 2015 http://researchbriefings.parliament.uk/ResearchBriefing/Summary/CBP-7186

[2] Electoral Statistics for the UK https://www.ons.gov.uk/peoplepopulationandcommunity/elections/electoralregistration/datasets/electoralstatisticsforuk

[3] General Election 2017 : results and analysis http://researchbriefings.parliament.uk/ResearchBriefing/Summary/CBP-7979

[4] Voter registration soars among students with 55% backing Labour https://www.theguardian.com/politics/2017/may/04/voter-registration-soars-students-backing-labour-corbyn-general-election

[5] ‘Youthquake’ behind Labour election surge divides generations https://www.theguardian.com/politics/2017/jun/20/youthquake-behind-labour-election-surge-divides-generations