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<!DOCTYPE html>
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<title>Commute Flow Mapping | Research</title>
<meta name="description" content="This is the research page of commute-flow, a brand new geodemographic classification of commuting flows for England and Wales based on origin-destination data from the 2011 Census that has been used to analyse the spatial dynamics of commuting.">
<meta name="keywords" content="academic research,planning,urban planning,urban,planning support systems,pss,classification,geodemographic,demographic,demography,geodemography,statistics,spatial statistics,spatial dynamics,spatial analysis,census,origin,destination,origin-destination,gis,geographic information systems,web mapping,mapping,census,census data,uk,england,wales,commuting,flows,commute,typology,research,economic,analysis,research project,university of manchester">
<meta name="author" content="Richard Kingston & Vasileios Vlastaras, University of Manchester">
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Typology
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Research
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About
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<h1><span class="yellow title">commute-flow</span> : research</h1>
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<div class="col-md-7">
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<p>
A part of the project we carried out a number of workshops in Manchester and Cardiff to test our
methodology and introduces the commute-flow classification.
</p>
<p>
Numerous research studies use commuting data, collected through the Census of Population,
to understand social, economic and environmental challenges in the UK. This commuting data has been
used to understand patterns; answer questions regarding the relationship between housing and
labour markets; and to see if travel behaviour is becoming more or less sustainable over time.
However, there is lots of untapped potential for such data to be used to evaluate transport policy and
investment decisions so resources are more effectively and efficiently targeted to places of need.
In applied public policy a major shortcoming has been a lack of use of this data to support
investment in transport which has major implications for economic growth. If transport investments are
inefficiently targeted, this restricts the capacity of places to grow economies to their
full potential. This wastes their resources by over investing in transport capacity in areas where
it is not needed. Equally, it has long been argued that efficient investment in transport is crucial
if labour market exclusion, particularly the case of deprived communities, is to be tackled.
The aim of the research is to inform community transportation policy and investment and the
socio-spatial dimensions of travel to work flows over time (2001-2011).
</p>
<p>
Our research develops a toolkit to help decision-makers better target investment in transport
capacity and infrastructure. The toolkit includes a series of new classifications of commuting flows
from the 2001 and 2011 Censuses. It will include a classification of newly developed official
Workplace Zones for England and Wales to complement official residential population-based
classifications alongside various population, deprivation, investment and infrastructure data.
The toolkit will bring these classifications and datasets together online through various mapping and
analysis tools to understand the dynamics of commuting between different types of residential and
workplace locations over time and combine these datasets and analyses with locally-specific transport
investment data. The methodology developed will be applied to England and Wales as a whole but
we will use the Manchester as a test-case for our analysis and for development of the toolkit.
The use of open source approaches to build the toolkit means that other locations will have the
framework to develop their own toolkit. The flow and area-based (Workplace Zones) classifications
for England and Wales will complement official ONS residential-based output area classification and
existing indices of deprivation. This will be mapped in relation to key transport investments made
in Manchester, using local administrative data and overlay these with the results of
commuting analysis to support decision-making regarding future targeted public transport
infrastructure investment.
</p>
<p>
The toolkit will be interactive so users can pose policy questions to explore commuting relationships
between different places. The strength of this approach is that it will enable policy and
decision-makers to test various scenarios for future transport investment depending on problems
they have posed. In a hypothetical situation, a policymaker in might ask the question of whether
a specific deprived community in their city is more or less connected into a major employment
centre than another equally deprived community. The evidence can be used to target funding for an
'into-work-scheme' to help the most disconnected community. The toolkit allows the policymaker
to explore levels of commuting and compare the level of connectivity of each neighbourhood to major
employment centres. The underlying rationale for the research is that the toolkit will help deliver
efficiencies in public and private sector investment. This is crucial at a time when the government
is promoting the need for smarter economic growth but doing so in a challenging context in which
public sector resources are scarce and the private sector is risk averse.
</p>
</div>
</div>
<div class="col-md-5">
<div class="well">
<h3>Publications & reports</h3>
<h5>
Hincks, S., Kingston, R., Webb, B. and Wong, C. (2018) A New Geodemographic Classification
of Commuting Flows for England and Wales. <i>International Journal of Geographical Information Science </i> <a href="https://doi.org/10.1080/13658816.2017.1407416" target="_blank">https://doi.org/10.1080/13658816.2017.1407416</a>
</h5>
<h5>
Webb, B. (2017) Cardiff Capital Region: State of the Region. City Region Exchange: Cardiff University.
<a href="http://www.cardiff.ac.uk/__data/assets/pdf_file/0020/602912/CCR_State_of_the_City_Region.pdf" target="_blank">
<i class="fa fa-download" aria-hidden=""></i>
</a> [12mbs]
</h5>
<h5>Further papers are in preperation at the moment.</h5>
<h5> </h5>
<h5> </h5>
<h3>Presentations</h3>
<h5>
Hincks, S. (2016) A Geodemographic Classification of Commuting Flows for England and Wales.
UK-Ireland Planning Research Conference, 6-7 September, Cardiff University.
</h5>
<h5>
Kingston, R. (2017) Commute-flow: a new Geodemographic Classification of Commuting Flows for
England and Wales. School of Geography seminar, University of Leeds.
</h5>
<h5>
Kingston, R. (2016) Data driven decision support – Greater Manchester’s strategic public transport
investment, CURDS 40th External Seminar Series, Newcastle University.
</h5>
<h5>
Kingston, R. (2016) commute-flow: an open spatial decision support tool for transport investment
planning. UK-Ireland Planning Research Conference, 6-7 September, Cardiff University.
</h5>
<h5>
Kingston, R. & Hincks, S. (2016) commute-flow: methods and tools.
PEM Research Seminar, University of Manchester.
</h5>
<h5>
Wong, C. (2016) Framing a spatial perspective on the furure of the UK.
Lincoln Institute, London Symposium.
</h5>
<h5>
Wong, C. (2016) Transport and infrastructure in Greater Manchester. Pro-Manchester breakfast meeting.
</h5>
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