Modelling the evolution of a bio-based economy in the Humber region
Submitting Institution
University of SurreyUnit of Assessment
Mathematical SciencesSummary Impact Type
EnvironmentalResearch Subject Area(s)
Mathematical Sciences: Applied Mathematics
Economics: Applied Economics
Summary of the impact
Industrial regions around the UK are seeking to develop bio-based
economies in order to minimise
their CO2 emissions and stimulate economic regeneration.
Researchers at Surrey, in collaboration with key industrialists from the
Humber region, have
produced a mathematical model of the main factors influencing the
transition to, and establishment
of, a bio-based economy. This model has been used by the Humber
Environmental Managers
(HEM) group, and the Humber local authorities to help guide strategic
planning for the region. The
outcome is that the research has contributed to environmental improvement
and economic
regeneration of the Humber region, and has indirectly impacted on public
policy.
Underpinning research
The Surrey team, led by a mathematician (and consisting of environmental
scientists, sociologists,
engineers and computer scientists) was formed in 2010, as part of the
EPSRC-funded "Evolution
and Resilience of Industrial Ecosystems" (ERIE) project, to study the
application of complexity
science to social and economic systems.
The Centre for Environmental Strategy (CES) has run a longstanding case
study of the Humber
region, which is one of the UK's major energy generators and CO2 emitters,
and they introduced
ERIE to Humber. To initiate the project, researchers carried out 18
interviews with key
stakeholders in the region to survey the main issues, identify parameters,
and specifics that
needed to be addressed for the Humber region. The development and analysis
of these interviews
were underpinned by quantitative sociology and complexity science. An
important problem which
emerged was how to mathematically model the transition from a
predominantly fossil fuel based
economy to a bio-based economy. A mathematics-sociology team then set in
motion a strategy for
modelling the transition.
The Surrey team led by David Lloyd (Lecturer in Mathematics) and
Alexandra Penn (ERIE
Research Fellow) consists of Lauren Basson (Lecturer in CES), Angela
Druckman (Senior Lecturer
in CES), Frank Schiller (ERIE Research Fellow), Chris Knight (ERIE
Research Fellow), Amy
Woodward (ERIE PhD student, and ERIE Administrator) and Daniele Avitabile
(former ERIE
Research Fellow, now Lecturer at Nottingham). Kasper Kok (Lecturer,
University of Wageningen,
Netherlands) facilitated the participatory modelling exercise.
On the basis of the requirements identified via the aforementioned
interviews, the ERIE team
studied the "participatory modelling" literature to identify an
appropriate modelling strategy capable
of representing the interaction of the key factors influencing the Humber
region. The basic model
proposed was a Fuzzy Cognitive Mapping (FCM), which was formulated as a
dynamical system,
X(n+1) = f(AX(n)), where X
has m components, A is a weighted connectivity matrix, and f
is a
mapping. The connectivity matrix A was formulated via "participatory
modelling": the participants
identify key factors that will influence the development of a nascent
bio-based economy (land
availability, fossil fuel price, community acceptance, etc), and they are
weighted and linked by a
directed graph. Participatory modelling was used as it has the significant
advantage of establishing
the engagement and buy-in with stakeholders that are vital for any model
to have impact in
decision-making. FCM in particular was used as it is a well-established
modelling methodology for
exploring complex issues with stakeholders that is able to yield quick and
useful results during a
workshop, and is amenable to a dynamical systems analysis.
The HEM group welcomed the initiative and the first meeting was held in
November 2011 in
Humber with 12 local industrialists and policy makers, including members
of the regional HEM
group and the South Humber Gateway Board (SHGB), with the Surrey team
leading the meeting.
The meeting participants were guided to create links between these factors
and describe the links'
strengths. These factors were then connected with a cognitive map. The
connections were each
assigned a weight, and they formed the entries of the connectivity matrix.
By then choosing an
appropriate f the dynamical system could be implemented
immediately at the meeting and a range
of scenarios tested. The results of this meeting led to the paper of Penn
et al. (2013).
Once the main parameters of the model were proposed it was important for
the mathematicians to
test for robustness of the model. Dynamical systems theory, with
appropriate modification for the
constraints induced by the connectivity matrix, was applied to the model.
Different representations
for f were tested, the fixed points of the model were identified,
and stability and dynamics tested.
The principal nonlinear f tested was the sigmoidal model.
These results were reported in Knight et
al (2013). This research was then fed back into the next iteration of the
model development.
Since the initial workshop, the Surrey team has met regularly with the
HEM and SHBG groups and
members of the Local Authorities, with two subsequent workshops in
February 2012 and 2013,
firstly with HEM and then with the larger group, with the February 2012
meeting used for
verification of the FCM. The model continues to evolve taking into account
feedback from the HEM
group. Current improvements include coupling to take into account feedback
control and
exploration of regionally contentious feedstock supply and land use
scenarios.
References to the research
The development of the model has been on going and as new versions emerge
they have been
presented to the HEM group. Feedback from these presentations has then
been used to further
refine the model. A paper based on this sequence of interactions has
appeared in PLoS ONE
(Penn et al, 2013). Since the analysis is based on participatory
modelling, it is natural for the
paper to appear coincident with the impact. A second paper (Knight et al,
2013) gives a dynamical
systems analysis of the model.
• A.S. Penn, C.J.K. Knight, D.J.B. Lloyd, D. Avitabile, K. Kok, F.
Schiller, A Woodward, A.
Druckman, and L. Basson (2013) Participatory development and analysis
of a fuzzy
cognitive map of the establishment of a bio-based economy in the Humber
region, PLOS
ONE, DOI: 10.1371/journal.pone.0078319.
• C.J.K. Knight, D.J.B. Lloyd, and A.S. Penn (2013) Linear and
sigmoidal fuzzy cognitive
maps: an analysis of fixed points, Applied Soft Computing (accepted,
in press).
The principal funding is the EPSRC ERIE grant:
• EP/H021779/1 Evolution and Resilience of Industrial Ecosystems,
PI: GN Gilbert
(Sociology), co-investigators: R Hoyle (Maths), D Lloyd (Maths), A Skeldon
(Maths), P
Krause (Computing), L Basson (CES), S Moschoyiannis (Computing),
£3,344,524
The HEM is made up of representatives of local heavy industries,
conservation organisations
(NGOs) and other key regional figures, for example the National Industrial
Symbiosis Programme.
It is a collaborative group which discusses issues relevant to industry
and sustainability in the
region. It allows industry, conservation bodies and local authorities to
communicate and come up
with strategies and solutions for common problems.
The SHGB is a strategic regional planning group whose members include
North Lincolnshire
Council chief executives. The board's terms of reference, include
"providing strategic direction" to
the South Humber Gateway and "identifying constraints to investment and
development and
seeking their early resolution."
http://www.northlincs.gov.uk/business/investing-in-north-lincolnshire/southhumbergateway/shgb/
Details of the impact
Development of models that engage and help policy makers make informed
decisions remains a
significant problem for complexity science research. The current case
study based on the Humber
region is a step in this direction. Managing the development of a new
bio-based economy in the
Humber region requires the understanding and modelling of complex,
interacting, socio-economic
factors.
The impact of the research is twofold. Firstly, the participants and
policy makers were introduced to
systems level and complexity-science based thinking about the key factors
influencing the start-up
of a bio-based economy, how these factors interact with each other, and
how to turn the
information into a mathematical model. The response of the HEM group and
other stakeholders to
this approach has been enthusiastic with over half the participants of the
original workshop sending
long responses suggesting improvements to the model highlighting their
important engagement in
the process. For example, the CEO of Global Biotechnology Transfer
Foundation, a not-for-profit
United Nations partner organisation, wrote "I found the interaction
with the FCM workshop both
useful and enlightening and in particular the mathematical modelling
aspect. The FCM exercise
significantly affected my thinking ...."
The Programme Manager for Humber Chemical Focus Ltd) wrote: "The FCM
workshop was useful
and informative. This interaction between multiple organisations on the
same topic is useful and
cannot easily be replicated in normal business-public sector
interactions. The FCM modelling
approach had a clear impact on this interaction."
While the model is becoming progressively more complex, it is also
becoming easier for the
managers to use. The model explores the consequences of several scenarios
that might influence
the start-up of a new business sector. This output has flagged up key
points for the HEM group
and the South Humber gateway delivery board when discussing strategy
related to a bio-based
economy. Since several industries, NGOs and local authorities have taken
part in the modelling
process and are carrying out R&D in various bio-based technologies or
are involved in regional
planning, the model automatically has engagement with the decision makers
— in particular the
SHGB and Local Authorities who carry out strategic planning for the
region. They do not make
policy, but make highly influential decisions about the region's future,
and therefore indirectly
impact public policy.
Secondly, a tool for investigating various policy/strategy decisions
based on network-flows was
created. The main aim of the model is to generate a set of questions for
decision makers to think
about when designing policies or making strategic decisions. The ERIE
project now has an
established engagement with HEM and SHGB with additional evolution
expected to develop over
the next three years.
At present the principal target audience is the team in the Humber
region. As the methodology
develops and becomes more generic, it is planned to roll it out to other
regions. Preliminary
discussions with DEFRA (Department for Environment, Food and Rural
Affairs) have taken place.
Sources to corroborate the impact
The principal impact is on the strategy and implementation policy of the
range of government
groups (HEM, SHGB), heavy industry, and NGOs. The principal impact on the
HEM and SHGB
will be an impact on the environment and indirectly on the economy, since
one of the primary
focuses is the transition to a green economy.
The impact of the FCM exercise has been documented in statements from
- The Programme Manager at Humber Chemical Focus Ltd (www.hcfhumber.co.uk)
- The Chief Executive Officer at Global Biotechnology Transfer
Foundation, an international
not-for-profit United Nations Foundation partner organisation. Their
mission is to promote
awareness of the potential for biotechnology to support sustainable,
long-term, socio-
economic development. (NB. The CEO has since joined the ERIE Advisory
Board, as a
result of his interest after participating in the FCM Workshop.)
Additional impact is corroborated by :
- The Environmental Manager at Croda Europe Ltd. Contact details
provided.
- A representative of the Economic Regeneration Department of the North
East Lincolnshire
Council. Contact details provided.
- The Company Director of Link2Energy. Contact details provided.
The above letters and emails establish (1) the importance of looking at
the bio-based economy for
the Humber region and further afield, (2) That they found the interaction
with the FCM
workshop/ERIE useful and enlightening. (3) That the interaction has helped
change their thinking
or any decision pathways.