Risk Management of Infrastructure Projects as a Way to Ensure
Sustainability of the Arctic Territories
Irina Makarova
1a
, Ksenia Shubenkova
1b
,
Krzysztof Zabinski
2c
1
Kazan Federal University, Syuyumbike Avenue, 10A, Naberezhnye Chelny, 423822, Russia
2
University of Silesia in Katowice, Będzińska 39, Sosnowiec, 41-200 Poland
Keywords: Risk Management, Ecosystems, Northern Sea Route, Problem Tree, Delivery Time, BSC, KPI.
Abstract: Climate change opens up great opportunities for the development of the Russian Arctic. Significant reserves
of minerals, easy access to the sea for the transportation of crude oil, liquefied natural gas and other resources
make this region promising and energetically important. This investment area is a priority for Russia and can
bring positive effects. At the same time, development of the northern territories is associated with inevitable
problems caused by the vulnerability of their ecosystems. Air pollution poses serious health, environmental
and economic problems for urban areas and contributes to global climate change. Among the atmospheric
pollutants, black carbon has an extremely negative impact on the environment, especially in the Arctic
territories. Although the Northern Sea Route is a direct route, some sections of it are too shallow for large
container ships. There are a number of other equally important operational restrictions, for example,
environmental issues: emissions from ships, oil spills on ice, etc. Article presents main directions for the
implementation of the Arctic region development concept in the framework of the large infrastructure projects
realization. Factors that negatively affect ecological state of the Arctic territories are highlighted, methods to
reduce black carbon emissions for the Murmansk region are described taking into account various types of
activities in the region. As a result, authors show that there is a significant potential for reducing emissions of
pollutants, including black carbon. In order to increase the sustainability of the region, authors classify
possible types of risks and suggest a conceptual model of the risk management system. As an example, the
reasons and consequences of improper planning of supply chains are considered. While drawing up
development strategies, risks that can disrupt the balance of ecosystems should be taken into account. This in
general will contribute to the sustainable development of the Arctic territories.
1 INTRODUCTION
The issues of sustainable territorial development
acquire special relevance in the 21st century, since the
depletion of natural resources forces, along with the
implementation of comprehensive strategies for their
careful use, to search for their new sources. The new
territories development is associated with a number
of problems, which are caused by their inevitable
urbanization, ecosystems disruption due to various
types of activities, which will especially negatively
affect the Arctic zone. Currently, a number of
complex projects are being implemented in the
Russian Arctic. Within their framework it is planned
a
https://orcid.org/0000-0002-6184-9900
b
https://orcid.org/0000-0002-9246-6232
c
https://orcid.org/0000-0001-5051-3531
to develop industrial and touristic sectors of
economy, which is possible only by creating transport
corridors to ensure the raw materials’ export and
goods delivery, as well as solving the population
mobility problems. All of these activities are
accompanied by different risks that can lead to
serious consequences. In order to reduce possible
damage, it is necessary to understand the reasons
causing risky situations, as well as possible ways to
prevent their occurrence and to minimize the likely
consequences. The relevance of the Arctic marine
environment’s integrated management based on the
ecosystem approach is obvious. This is evidenced not
only by the activities of the Arctic Council and its
Makarova, I., Shubenkova, K. and Zabinski, K.
Risk Management of Infrastructure Projects as a Way to Ensure Sustainability of the Arctic Territories.
DOI: 10.5220/0010663200003223
In Proceedings of the 1st International Scientific Forum on Sustainable Development of Socio-economic Systems (WFSDS 2021), pages 23-32
ISBN: 978-989-758-597-5
Copyright
c
2022 by SCITEPRESS Science and Technology Publications, Lda. All rights reserved
23
working groups, but also by broader international
activities to implement the goals of sustainable
development. Therefore, strategic planning and
forecasting is important when creating development
programs and infrastructure projects, taking into
account risks and consequences for the short and long
term (Makarova et al., 2013; Makarova et al., 2017a;
Pernebekov et al., 2014).
Strategic vision for the Arctic zone development
is determined both by its resource potential, which
includes about 25% of the world’s undiscovered
mineral reserves, and by new opportunities in
creating transport and logistics corridors (TLC) due
to global climate change. A special role in the
implementation of the Arctic development projects
plays the Northern Sea Route (NSR), which has a
great potential in the formation of international
transport corridors (ITC) between Europe and Asia.
However, despite the obvious advantages of water
transport over its other types (low cost; large carrying
capacity of sea vessels and their versatility), there are
significant limitations: low speed of goods delivery;
high production cost of ships and specially equipped
seaports; significant operation costs for ships and
infrastructure (seaports, terminals, etc.);
environmental problems associated with ships’ diesel
emissions, especially in coastal areas and port cities.
All this requires a detailed study of development
prospects, taking into account economic and
environmental factors and risks.
2 METHODS OF RISK
RESEARCH IN THE ARCTIC
REGION
2.1 Ecosystems’ State, Risks and
Methods to Maintain Their
Sustainability
Climate change could irreversibly modify the Arctic
ecosystems. To preserve vulnerable Arctic tundra
landscapes in the various anthropogenic activities
context, a system of specially protected natural areas
of the Russian Arctic has been created and is
developing (Aleinikova et al., 2020). Voronina
(2021) formulates principles of ensuring the
environmental safety of the Arctic region, which can
be used in strategic planning for the Arctic
development and for implementation of
environmental protection measures. In the climate
change context, the Arctic landscapes transformation
monitoring is relevant, because it contributes to the
environmental problems’ solution, as well as to
preservation of not only the natural, but also the
Russian historical and cultural heritage. Chekmareva
et al. (2019) explore the anthropogenic impact on the
species community’s composition in the high-latitude
Arctic and their ecological state. It is shown that
modeling makes it possible to establish the system
degradation degree, as well as the level of additional
permissible load, at which the system will not lose the
ability to self-recover. And for the active cruise
tourism development in the Barents Sea region, it is
needed to reconstruct the maritime transport and
navigation infrastructure along the entire planned
shipping corridor of the NSR, as well as to reopen the
seaports (Sevastyanov et al., 2021).
Issues of the Russian Arctic region’s ecological
and economic system’s managing are relevant due to
a number of aspects, including the increased costs of
production and life support, the economic situation’s
uncertainty and the need to minimize the technogenic
impact on the vulnerable Arctic environment. For this
reason, it is necessary to improve the methodology for
an objective assessment of the environment state; to
develop actions to increase efficiency of the regional
ecological and economic system’s management; to
improve the regulatory framework; and to ensure the
monitoring of financial costs for environmental
protection and the environmental policy results
(Tsukerman et al., 2020). Stepanko and Tkachenko
(2020) outline the main priority areas of activity for
the balanced ecological and economic development
of the Russian Far East Arctic territories, taking into
account traditional employment sectors.
2.2 Methods to Implement
Infrastructure Projects and Their
Impact on the Territories’
Sustainability
The Arctic territories development involves the
infrastructure projects implementation, which include
industrial enterprises construction and creation of a
transport and logistics framework for the raw
materials and goods delivery. In connection with the
activities of transport and industrial complex, the risk
of accidents and man-made disasters increases.
Katansky et al. (2020) have developed models to
reduce the risk of major accidents with petrochemical
pollution of environmental objects, to increase
industrial safety of water and coastal areas of the
Barents Sea Kola Bay in case of oil spillings.
Alekseeva et al. (2020) show that to monitor the state
of oil-producing areas, to detect timely and to assess
oil pollution risks in hard-to-reach and fragile tundra
WFSDS 2021 - INTERNATIONAL SCIENTIFIC FORUM ON SUSTAINABLE DEVELOPMENT OF SOCIO-ECONOMIC SYSTEMS
24
and marine ecosystems, it is important to use space
images. The proposed methodology using remote and
ground data will make it possible to identify areas of
environmental oil pollution risk and develop plans for
preventive and remediation measures. Yakovlev et al.
(2019) have developed a technology to manage the
Arctic regions’ technogenic and environmental
safety, as well as an information and analytical
system to support planning of emergency protection
at the level of potentially hazardous production
facilities and complexes.
Varotsos and Krapivin (2018) use the
Geoecological Information Modeling System
(GIMS) as one of the Big Data tools to assess the
impact on the Arctic Basin’s ecological system and
the pollution of its waters. In simulation, heavy
metals, petroleum hydrocarbons, and radionuclides
are considered as primary pollutants, and to predict
the Arctic ecosystem’s state indicators of bio-
complexity and survivability are used. Shulga et al.
(2020) using mathematical model of multifunctional
energy complex have shown that transition to
Liquefied Natural Gas (LNG) should significantly
improve environmental conditions.
Port infrastructure’s development can
significantly worsen environmental conditions. As
the China experience has shown, with the ports’
development, emissions from cargo ships and
container ships have become one of the most
significant sources of air pollution in port cities and
surrounding areas. Such studies are described by
Zhao et al. (2020), Xu et al. (2018) and Wan et al.
(2019), who have found that emissions depend on the
type and size of ships and the highest percentages of
pollutant emissions are ships with a large gross
tonnage and with a high rated power of the main
engines, such as cruise ships, container ships and
tankers for liquefied gas transportation. For example,
López-Aparicio et al. (2017) emphasize the
importance of a detailed emission inventory as a basis
for the development of efficient measures to reduce
emissions from shipping in port areas. Authors have
used a bottom-up approach to develop a
comprehensive emission inventory for the Oslo Port.
The main sources of ocean-going ships’ emissions,
according to the research, are international ferries,
cruise ships and container ships. Sorte et al. (2019)
have used numerical simulations based on the web-
based study screening tool C-PORT to study ship
emissions in Porto harbors (Portugal) to estimate the
relative contribution of different source sectors to
emissions, including ports (terminals, ships and
roads), road traffic and industrial (oil refining)
sources that potentially affect the port vicinity,
including residential areas.
2.3 Methods to Study Negative Impact
of Transport on the Arctic Zone’s
Ecosystems
Negative impact of transport on the Arctic
ecosystems is associated, first of all, with
development of shipping along the NSR, as well as
with the logistics of raw materials and goods for the
industry and life development in this region. Since the
traffic on the NSR is still insignificant, prospects and
risks of the NSR development can be assessed quite
easily. However, the negative impact of road and rail
transport will depend on support zones development
strategy and many factors that are stochastic. For the
purposes of analysis and forecasting, it will be
necessary to apply multivariate analysis and
modeling, including data mining, machine learning,
neural networks, genetic algorithms, dynamic
programming, etc. (Żabiński and Zielosko, 2021).
Numerous researches are devoted to the shipping
impact along the NSR on the ecosystems’ state in the
Arctic, which is seen as a promising area for
economic activity and a potential connecting corridor
between Asia and Europe / America. Growth of
number of ships passing the NSR means an increased
accidents risk and related oil spills. Since the window
for successful cleaning will be short, according to
Kelly et al (2018), it is necessary to take into account
the duration of the recovery period from pollutants.
Dalaklis et al. (2018) show that, as activity is
expected to increase in this region, it is imperative to
assess the current level of support for ships that will
traverse the region; and capabilities related to search
and rescue operations and oil spill response.
Arctic exploration and transportation pose
significant risks due to the region unique features,
such as ice, harsh operating conditions, unpredictable
climatic changes and remoteness. Khan et al. (2018)
propose a model of an object-oriented Bayesian
network for dynamically predicting the probability of
a ship colliding with ice and assessing the risk,
including the likely consequences, taking into
account the state of the navigation and operating
system, weather and ice conditions, as well as human
errors. Lin and Chang (2018) propose a new risk
model using a Bayesian network applicable to the
NSR to study the possibility of marine accidents such
as collision, flooding and grounding. The proposed
model takes into account various operational and
environmental factors. When researching and
controlling the negative environmental impacts of
Risk Management of Infrastructure Projects as a Way to Ensure Sustainability of the Arctic Territories
25
shipping in the Arctic, travel time, fuel consumption
and related exhaust emissions from ships must be
taken into account (Schröder et al., 2017).
Chou et al. (2017) determine the navigation
efficiency along the NSR between different ports by
fuel consumption, arguing that fuel consumption and
carbon dioxide emissions can be reduced by transit
from different ports along the European Sea Route,
and that navigation efficiency is determined by
distance. Analysis of NSR’s sea traffic flows differs
from other transport modes, since navigation follows
the recommended routes, depending on ice and
hydrometeorological conditions. The GIS for the
NSR, developed by Ol’khovik (2018), allows
calculating models of potential hazards depending on
the distance between ships, course crossings, ice
conditions and navigation area hydrographic studies.
Afonin et al. (2018) propose the GIS including data
on the speed and routes of various sizes vessels, as
well as data from remote sensing of ice conditions.
3 RESULTS AND DISCUSSIONS.
RISK MANAGEMENT TO
IMPROVE SUSTAINABILITY:
CASE STUDY OF MURMANSK
REGION
3.1 Murmansk Region as a Support
Zone for the Arctic Development
Arctic development is planned through a system of so-
called “support zones”. There are nine such zones
defined in the State program “Socio-economic
development of the Russian Federation Arctic zone”
(2014). Their task is to connect all projects and
resources located on their territory for the development
of socio-economic activities, communication and
resource potential in the Arctic zone and to obtain the
maximum synergistic effect. The basis of the support
zones’ spatial structure is the transport-industrial
framework, which includes transport, industrial and
multifunctional objects (Dmitrieva and Bury, 2019).
The main consequence of such projects’
implementation will be urbanization of the territories,
that have been deserted before. This will inevitably
affect ecosystems’ state.
The Kola support zone provides for the
implementation more than 30 large-scale investment
projects. According to the sectoral principle, they are
combined into seven clusters: transport and logistics;
marine service; petrochemical; mining, chemical and
metallurgical; fishery; tourist and recreational;
scientific and educational. Development of the first
two of them is directly connected to the Arctic
projects, activities of the rest will contribute to the
Arctic’s evolution indirectly, however they will
directly affect its regional socio-economic progress.
3.2 Actions to Reduce Negative Impact
of Industrial Facilities on the
Region’s Environment
Fast industrial development is an important change
factor for the Arctic Ocean and coastline: the Arctic
was once perceived as a region with no prospects, but
now, due to rich natural resources and new
opportunities for shipping, interest is growing.
Expansion of activities such as coastal and offshore
fisheries, coastal and offshore hydrocarbon
exploration, its mining and shipping can drive
development in the region, but also threaten
ecosystems (Avila-Diaz et al., 2021).
Murmansk region’s industry is historically built
around mining industries and ports. The peninsula
territory is rich in ore with a high-solid of valuable
metals and minerals: sulfide copper-nickel fields, iron
ore, apatite, nepheline and baddeleyite concentrate.
About a quarter of all minerals known on Earth have
been discovered on the region’s territory. The region
provides 10% of the total Russian production of iron
ore concentrate, as well as 7% of refined copper. In
2019, mining took just over a quarter in the structure
of shipped industrial products (137.5 billion rubles);
60% were provided by manufacturing (319 billion
rubles), and 11% by the electricity provision, gas
and other energy sources.
Due to the fact that nickel and copper production
impacts negatively on the environment, obsolete
production facilities are being closed. Thus, together,
shutdown of smelters in Nikel and Monchegorsk will
reduce sulfur dioxide emissions on the Kola
Peninsula in 2021 by 85 percent compared to 2015.
The mining and metallurgical industry of the
Arctic is also faced with the problem of local ore
fields depletion, many of which have been developed
since the 30s of the last century. An urgent scientific
and technical problem that is being solved by the Kola
Scientific Center of Russian Academy of Sciences
scientists is the development of technologies that
allow additional extraction of useful components
from substandard ores and mining and processing
waste. In the last decade, pilot work has begun on
heap leaching of poor copper-nickel sulphide ores, in
which useful components are extracted from the ore
using special solutions. About 20 percent of copper is
produced in the world today using this technology.
WFSDS 2021 - INTERNATIONAL SCIENTIFIC FORUM ON SUSTAINABLE DEVELOPMENT OF SOCIO-ECONOMIC SYSTEMS
26
Black carbon (BC) poses a huge threat to the
Arctic, polluting snow, darkening its surface. This
enhances the absorption of solar radiation, heating the
snow and causing it to melt. Due to their low weight,
BC particles are spread by air currents over huge
areas, which makes the Arctic a particularly
vulnerable part of the planet (Chen et al., 2021). Thus,
the largest source of BC emissions in the Murmansk
region is the mining industry, which accounts for 71%
of total emissions. There are at least 250 diesel-
powered mining trucks operating in the industry,
which are a significant source of BC emissions.
Because mining truck engines have a relatively short
lifespan, there are many options to choose from to
reduce emissions, such as investing in replacing
engines with cleaner engines that run on LNG. In this
case, fuel efficiency can increase by 5-15% and BC
emissions can sharply decrease with a relatively small
increase in engine cost (Kholod et al., 2015).
Murmansk region has made the top ten Russian
regions in the rating of socio-economic sustainability
and has made the top twenty in the rating assessing
efficiency of regions’ activity. In addition to benefits
for residents of the priority development area “Arctic
capital” and the Arctic zone of Russian Federation, a
federal law “On protection and encouragement of
investments” has been launched. It provides tax rates
fixing during the realization period of such projects
asOlkon, which will develop the new
Pechegubskoye iron ore deposit, where production
will begin in 2022. The second project is the
expansion of “Oleniy Ruchey” mine, where 600 new
jobs will be created. At present, the third Investment
Protection and Promotion Agreement (IPPA) is being
prepared for the project for the development of
“Fedorova Tundra” platinoid deposit.
Another area that is actively developing is fishing
and fish processing. 15% of all Russian fish is caught
near Murmansk. According to Russian Federal
Fisheries Agency, in 2019, almost 659 thousand tons
of fish were caught in the region (mainly horse
mackerel, scomber, sardines and cod), 90% of which
was processed in Murmansk and shipped to retail
chains. Three seaports in the region have been loaded,
including the leader in the goods transportation in the
north-western part of Russia, JSC “Murmansk
Commercial Sea Port”.
Much attention is paid to energy and its eco-
efficiency. The Kola Nuclear Power Plant (NPP) is a
unique energy enterprise: it is the first nuclear power
plant built in the harsh Arctic climatic conditions
located beyond the Arctic Circle (commissioned in
1973); and it is the northernmost in Europe. In 2006,
an unparalleled liquid radioactive waste processing
complex was created at the Kola NPP, which uses a
unique ion-selective sorption technology that allows
cleaning liquid radioactive waste and converting it
into a safe salt melt. This technology makes it
possible to reduce amount of radioactive waste to be
buried by 100 times. In 2019, the plant successfully
completed a large-scale modernization of the first
stage power units, which made it possible to
significantly increase their safety level and extend the
service life until 2033 and 2034.
3.3 Negative Impact of Transport and
Daily Living Activities on
Urbanized Areas and Ecosystems
Transport framework of Murmansk region is being
formed within the development of Kola support zone.
Road transport, including diesel vehicles with BC
emissions, is a significant contributor to air pollution
in the region. As in the whole Russia, the problem is
exacerbated by the growing diesel vehicles’ fleet
(Analytical agency “AUTOSTAT”, 2021). For
example, in Murmansk, the percentage of passenger
cars running on diesel fuel is 12% (Evans et al., 2015)
and almost the entire trucks’ fleet and buses also run
on diesel fuel. The use of gas diesel (Kapustin et al.,
2020) or natural gas as a vehicle fuel contributes to
the reduction of vehicles’ emissions, which will
significantly reduce BC emissions. Switching to
natural gas will increase the environmental class of
vehicles, increase engine life and reduce fuel costs by
40-60%. Russia is uniquely positioned to use natural
gas because it is the largest natural gas producer and
also has technologies to produce Compressed Natural
Gas (CNG) vehicles and buses. Considering that an
LNG transshipment terminal will be commissioned in
Murmansk in 2022, the possibility of switching from
diesel to gas is becoming a reality (Tikhonov, 2020).
Another emissions source, including BC, is
maritime transport. Murmansk, with its ice-free Kola
Bay, is the western gateway to the Arctic, and
Murmansk region has several ports. A great prospect
for the NSR development was showed by the
congestion that recently formed in the Suez Canal,
which indicated the high risks of traditional sea routes
and demonstrated their limited capabilities. Since the
NSR is now becoming an increasingly viable
alternative to the traditional southern sea routes, it is
obvious that emissions from shipping will continue
growing.
Since the main cargo flows today are tankers
carrying hydrocarbons, the future NSR economic
efficiency will be determined by the large-capacity
fleet presence, for passage of which hydrographic
Risk Management of Infrastructure Projects as a Way to Ensure Sustainability of the Arctic Territories
27
studies and new high-latitude deep-water routes are
required. At the same time, it will be necessary to
carry out work on the ports’ reconstruction. In
parallel, implementation of dredging works should be
carried out taking into account recommendations of
ecologists, so as not to harm the ecosystem. Russian
nuclear icebreaker fleet’s role is growing, and today
there are nuclear icebreakers of this class only in
Russia. Such vessels can operate autonomously
without entering the port for reloading for several
months, which determines their main advantage.
According to the projects for the icebreaker fleet’s
modernization by 2035, the Arctic fleet should
consist of 5 nuclear-powered icebreakers of the UAL
type with a capacity of 60 MW, three icebreakers
“Leader” with a capacity of 120 MW, four
icebreakers powered by gas fuel engine with a
capacity of 40 MW and an atomic icebreaker “50 Let
Pobedy” (Kashka et al., 2021).
In the Arctic, in addition to icebreakers, they use
ice-class vessels – tankers, etc. The main tasks of the
new nuclear-powered ships should be to ensure year-
round navigation along the NSR and expeditions to
the Arctic. To create conditions for safe navigation
and maintenance of year-round transit along the NSR
and in accordance with the Transport strategy of the
Russian Federation for the period up to 2030 (2008),
it is planned to build ships to support the fleet. These
are nuclear icebreakers for escorting transport ships;
diesel-electric icebreakers for servicing fields on the
Arctic shelf; multifunctional rescue vessels; new
generation tugs; technical rescue equipment from
offshore oil and gas facilities in ice conditions. The
NSR has a network of control and corrective stations
that ensure the operability of coastal navigation aids,
as well as GLONASS / GPS monitoring and
correction stations. This creates conditions for
increasing the reliability and accuracy of
observations, provides the calculation of the position
of the vessel, and contributes to the safety of
navigation, in general (Strategy for the development
of inland waterway transport of the Russian
Federation for the period up to 2030, 2016). The use
of fuel which is cleaner from the point of view of
emissions will make navigation along the NSR more
environmentally friendly, as well as will reduce the
negative impact on the environment in the port area.
Waste is a problem in urbanized areas. In Russia,
gas-fueled municipal vehicles on the KAMAZ
chassis are already in operation (Makarova et al.,
2020); their use in the Arctic zone is a good way to
reduce the burden on the environment. In addition,
since January 1, 2019, the Murmansk region switched
to a new waste management system: regional operator
for the management of municipal solid waste (MSW)
put into operation a waste sorting complex and a solid
waste landfill, as well as two waste transfer stations
in closed administrative-territorial entities.
An energy efficiency project is being
implemented in a number of pilot municipalities in
the Murmansk region. In Kirovsk city, a set of
measures is envisaged that should save up to 70% of
the consumed heat resource by 2025. The funds saved
within the program framework are fully directed to
the social sphere development. The environmental
aspect associated with the enterprises transition to
new energy sources is important for the region.
3.4 Risk Management as a Way to
Reduce Negative Impact on the
Environment: Case of Transport
and Logistics Processes
To minimize the vulnerability of the population and
economy sectors (agriculture, industry, housing and
communal services) to climate change, a national
climate risk management system is being created in
Russia. Russian Ministry of Natural Resources has
developed new requirements for environmental
impact assessment (EIA) materials, which will take
effect from September 1, 2021. In order to assess
correctly prospects for the implementation of long-
term strategies, it is necessary to assess risks
(Makarova et al., 2017b). For the Arctic, these are,
first of all, environmental risks. If to analyse the life
cycle of any technical system, you can see that among
the various risks types, environmental risk is present
at all stages (Figure 1).
Analyzing the main risks identified in numerous
studies, they can be grouped according to different
criteria: by the influenced object (ecosystem,
atmospheric air, water area of seas and rivers, etc.),
by activity type (production, transportation, tourism,
etc.), by the impact’s duration (seasonal, permanent).
In addition, it is necessary to understand what is the
likelihood of a risk situation, whether its occurrence
is inevitable and whether its consequences can be
reduced. Figure 2 shows the main risks’ types that
must be taken into account when developing a
strategy for the Arctic development.
WFSDS 2021 - INTERNATIONAL SCIENTIFIC FORUM ON SUSTAINABLE DEVELOPMENT OF SOCIO-ECONOMIC SYSTEMS
28
Figure 1: Classification of risks by life cycle stages of technical systems.
Figure 2: Groups of risks per activity types.
Since a transport framework is being created to
implement the development strategy for the Arctic
zone, the supply chains will include various transport
types (Almetova et al., 2019; Shepelev et al., 2019;
Galkin, 2019; Kush et al., 2018). In this case, the total
time of cargo delivery can be estimated as it is
presented in formula (1), where:
w, p = {1 – road transport, 2 – water transport, 3
rail transport, 4 – air transport}, w ≠ p;
t
i
is the travel time on the i-th section by the w-th
transport type;
y
j
is the time of customs documents registration at
the j-th point;
s
k
is the time of loading, unloading and storage at
the k-th point;
A
w
, B
w
, C
w
are the sets of transportation sections,
customs clearance points and points of loading and
unloading by w-th transport type, respectively.
r is the duration of unplanned repair impacts on
the vehicles’ fleet and infrastructure facilities;
D
w
is the number of downtimes for the w-th
transport type, taking into account unplanned repair
actions;
v is the downtime duration associated with the
working and resting periods of drivers;
z is the downtime duration or an increase in the
travel time associated with bans on the heavy vehicles
movement;
E, F are the number of vehicle’s downtime, taking
into account the specified reasons, respectively;
x
o
is the transshipment time at the o-th point from
the w-th to the p-th transport type;
G
w, p
is the set of transshipment points from w-th
to p-th transport type.
𝑇𝑡
∈
𝑦
∈

𝑠
∈
𝑟
∈


𝑣

𝑧



 𝑥
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(1)
Risk Management of Infrastructure Projects as a Way to Ensure Sustainability of the Arctic Territories
29
At the same time, the risks that characterize each
transport type should be additionally taken into
account. Evaluating the route efficiency can also
include price indicators and other factors.
Creation and development of infrastructure and
supply chains is inevitably associated with potential
risks: environmental, social and economic. Usually
they appear due to errors in the planning and
implementation of the development strategy. The
Tree-like method is widely used to assess the
likelihood of such problems’ occurring. Particular
attention should be paid to the problem of
underdevelopment and imperfection of infrastructure,
since there is a high risk of man-made disasters.
Therefore, we built a tree that helps to analyse various
situations, highlighted the root causes and
consequences (Figure 3).
The complex risk of event G is estimated as the
sum of basic events and can be calculated using the
formula:


n
k
m
j
r
p
kjp
n
k
n
k
m
j
kjk
k
kj
k
xqxqxqGQ
111111
)()()()(
(2)
where Q is the upper event’s probability (namely the
G event); n is the number of child events for G event;
m
k
, r
kj
are the number of child events for events x
k
, x
kj
;
q (x
k
), q (x
kj
), q (x
kjp
) is the probability of events x
k
, x
kj
,
x
kjp
of the first, second and third levels, respectively.
The basic events’ probability q (x
kjp
) can be estimated
by statistical analysis of historical data on operation.
To manage risks, a balanced scorecard (BSC) can
be used. For this purpose, key performance indicators
(KPI) are developed. Figure 4 shows a conceptual
model of a System to manage risks using BSC.
Figure 3: Problem tree to streamline the causes and consequences of the underdeveloped infrastructure of the NSR.
Figure 4: Conceptual model of a Risk Management System.
WFSDS 2021 - INTERNATIONAL SCIENTIFIC FORUM ON SUSTAINABLE DEVELOPMENT OF SOCIO-ECONOMIC SYSTEMS
30
4 CONCLUSIONS
Climate change opens up wide opportunities for the
development of the Russian Arctic, including the NSR.
However, along with the positive effects due to the
development of the Arctic zone, there will be problems
caused by the vulnerability of its ecosystems. Authors of
the paper analyse economic and environmental aspects
of the Arctic region’s development, including the use of
the NSR for the transportation of resources extracted in
the Arctic, development of cruise tourism in the Arctic
zone, and also as an alternative route from Europe to
Asia. It is shown that it is necessary to implement
projects for the creation and development of the Arctic
support zones, as well as to modernize and expand the
capacities of the nuclear icebreaker fleet, since the pace
of implementation of the Arctic projects will directly
determine the volume of traffic along the NSR, which
will be the main route as an export channel for raw
materials from the Arctic. Efficient functioning of global
logistics systems is possible only when implementing
complex projects, taking into account various factors:
transport costs, optimal routes, environmental impact.
To overcome barriers and constraints that impede
sustainable development, it is necessary to build an
effective risk management system. For these purposes,
the article identifies factors that negatively affect
ecological state of the Arctic territories, classifies
possible types of risks, and develops a conceptual model
of the risk management system. Using the example of
the Kola support zone, it is shown that various types of
activities are associated with environmental risks and
methods for reducing negative consequences are given.
Possible actions to reduce black carbon emissions are
presented. Thus, the proposed methodology and the set
of presented solutions may be of significant interest in
terms of reducing the negative anthropogenic impact on
the Arctic territories, and will also contribute to their
sustainable development.
ACKNOWLEDGEMENTS
The reported study was funded by RFBR, project
number 19-29-06008 \ 20.
REFERENCES
Afonin, A. et al. (2018). Study of ship speed regimes in the
Arctic sea ice conditions,
IOP Conf. Series: Earth and
Environmental Science
, 194: 072012.
Aleinikova, A., Byashkin, M., Gaivoron, T., Mainasheva, G.,
and Marsheva, N. (2020). The role of specially protected
natural areas in solving environmental problems of the
Russian arctic (using the example of Vaygach Island),
E3S
Web Conf.
, 169: 02019.
Alekseeva, M.N., Svarovskaya, L.I., and Yashchenko, I.G.
(2020). Ecological Risks of Oil Contamination in the
Arctic Zone,
Chemistry for Sustainable Development, 28:
213–218.
Almetova, Z.V., Shepelev, V.D., and Kuznetsov, N.A. (2019).
The integrative process of transport systems of the eurasian
economic union,
IOP Conf. Series: Earth and
Environmental Science
, 272(2): 022234.
Analytical agency “AUTOSTAT” (2021),
https://www.autostat.ru/.
Avila-Diaz, A., Bromwich, D.H., Wilson, A.B., Justino, F., and
Wang, S.-H. (2021). Climate Extremes across the North
American Arctic in Modern Reanalyses,
J. of Climate,
34(7): 2385-2410.
Chekmareva, A.C. et al. (2019). Monitoring of anthropogenic
load, recreational safety of the Arctic tourism objects in
Russian Arctic National Park,
IOP Conf. Ser.: Earth
Environ. Sci.
, 263: 012024.
Chen, X., Kang, S., Yang, J., and Ji, Z. (2021). Investigation of
black carbon climate effects in the Arctic in winter and
spring,
Science of the Total Environment, 751: 142145.
Chou, M.-T. et al. (2017). Fuel Consumption Ratio Analysis
for Transiting from Various Ports and Harbours in Asia
through the Northern Sea Route,
J. of Navigation, 70(4):
pp. 859–869.
Dalaklis, D. et al. (2018). Shipping operations support in the
«High North»: examining availability of icebreakers along
the Northern Sea Route,
WMU Journal of Maritime
Affairs
, 17(2): 129–147.
Dmitrieva, T.E. and Bury, O.V. (2019). Support zones for the
development of the Russian Arctic: content, ratings and
projects,
ECO 49(1): 41-59.
Evans, M. et al. (2015). Black carbon emissions from Russian
diesel sources: case study of Murmansk,
Atmos. Chem.
Phys.
, 15: 8349-8359.
Galkin, A. (2019). Mechanisms for increasing of transportation
efficiency using joint service of logistics systems,
Archives
of Transport
, 49(1): 7-24.
Kapustin, A., Vorobiev, S., Gordienko, V., and Marusin, A.
(2020). Method for improving the safety of diesel vehicles
when operating on gas engine fuel (gas diesel engines),
Transportation Research Procedia, 50: 226-233.
Kashka, M.M. et al. (2021). The role of the nuclear icebreaker
fleet in achieving the national goal of increasing in fright
traffic in the water area of the Northern Sea Route,
The
Arctic: ecology and economy
, 11(1): 101-110.
Katansky, A.A. et al. (2020). Industrial and ecological safety
analysis for modeling oil and petroleum products spills in
the Arctic waters of the Kola Bay,
IOP Conf. Ser.: Mater.
Sci. Eng.
, 862: 062007.
Kelly, S. et al. (2018). Lagrangian modeling of Arctic Ocean
circulation pathways: Impact of advection on spread of
pollutants.
Journal of Geophysical Research: Oceans,
123: 2882–2902.
Khan, B. et al. (2018). An operational risk analysis tool to
analyze marine transportation in Arctic waters,
Reliability
Engineering and System Safety
, 169: 485–502.
Risk Management of Infrastructure Projects as a Way to Ensure Sustainability of the Arctic Territories
31
Kholod, N., Evans, M., and Malyshev, V. (2015). Reducing
Black Carbon Emissions with Mining Trucks,
Russian
Mining Industry
, 3 (121): 72-75.
Kush, Y., Skrypin, V., Galkin, A., Dolia, K., Tkachenko, I., and
Davidich, N. (2018). Regularities of Change of the Supply
Chain Operation Efficiency, Depending on The
Parameters of the Transport Process,
Transportation
Research Procedia
, 30: 216-225.
Lin, D.-Y. and Chang, Y.-T. (2018). Ship routing and freight
assignment problem for liner shipping: Application to the
Northern Sea Route planning problem,
Transportation
Research Part E
, 110: 47–70.
López-Aparicio, S., Tønnesen, D., Thanh, T.N., and Neilson,
H. (2017). Shipping emissions in a Nordic port:
Assessment of mitigation strategies.
Transportation
Research Part D: Transport and Environment
, 53: 205-
216.
Makarova, I. et al. (2013). Urban transport system
management in the context of region sustainable
development strategy.
Transport Problems, 8(2): 107-111.
Makarova, I. et al. (2017a). Development of sustainable
transport in smart cities,
2017 IEEE 3rd International
Forum on Research and Technologies for Society and
Industry
, pages 1-6.
Makarova, I., Shubenkova, K., and Gabsalikhova, L. (2017b).
Analysis of the city transport system's development
strategy design principles with account of risks and
specific features of spatial development,
Transport
Problems
, 12(1): 125–138.
Makarova, I., Shubenkova, K., Gabsalikhova, L.,
Sadygova, G., and Mukhametdinov, E. (2020). Ways to
improve sustainability of the city transport system in the
municipal gas-engine vehicles’ fleet growth,
Intelligent
Systems and Computing
, pages 153-168.
Ol’khovik, E. (2018). Geoinformation system use for
transportations planning in water area of Northern Sea
Route?
IOP Conf. Series: Earth and Environmental
Science
, 194: 072010.
Pernebekov, S.S. et al. (2014). Modeling of traffic flows with
due regard to ecological criteria,
Life Science Journal,
11(5): 300-302.
Schröder, C. et al. (2017). Environmental impact of exhaust
emissions by Arctic shipping,
Ambio, 46(3): 400–409.
Sevastyanov, D.V. et al. (2021). Arctic tourism in the Barents
Sea Region: current status and boundaries of the possible,
IOP Conf. Ser.: Earth Environ. Sci., 625: 012008.
Shepelev, V., Zverev, L., Almetova, Z., Shubenkova, K., and
Shepeleva, E. (2019). Optimization of interaction of
automobile and railway transport at container terminals,
Lecture Notes in Networks and Systems, 68: 593-602.
Shulga, R.N., Petrov, A.Y., and Putilova, I.V. (2020). The
Arctic: Ecology and hydrogen energy,
International
Journal of Hydrogen Energy
, 45(11): 7185-7198.
Sorte, S. et al. (2019). Assessment of source contribution to air
quality in an urban area close to a harbor: Case-study in
Porto, Portugal,
Science of The Total Environment, 662:
347-360.
State program “Socio-economic development of the Russian
Federation Arctic zone” (2014). Resolution of the Russian
Federation Government, April 21, 2014, No. 366.
Moscow.
Stepanko, N.G. and Tkachenko, G.G. (2020). The current
environmental and economic situation in the Far Eastern
North and possible directions for its transformation,
IOP
Conf. Ser.: Earth Environ. Sci.
, 539: 012036.
Strategy for the development of inland waterway transport of
the Russian Federation for the period up to 2030 (2016).
Order of the Russian Federation Government, February
29, 2016, No. 327-p. Moscow.
Tikhonov, S. (2020). The volume of traffic on the Northern Sea
Route by 2024 will be lower than expected,
Rossiyskaya
Gazeta
– Federal, 193 (8247).
Transport strategy of the Russian Federation for the period up
to 2030. (2008). Order of the Russian Federation
Government, November 22, 2008, No. 1734-p. Moscow.
Tsukerman, V.A. et al. (2020). Management of the Ecological-
Economic System of the Russian Arctic Zone,
IOP Conf.
Ser.: Mater. Sci. Eng.
, 753: 062019.
Varotsos, C.A. and Krapivin, V.F. (2018). Pollution of Arctic
Waters Has Reached a Critical Point: an Innovative
Approach to This Problem,
Water Air Soil Pollut, 229(11):
1-14.
Voronina, N.P. (2021). Ensuring Environmental Safety of the
Arctic Region: The Case of Genomic Technologies,
IOP
Conf. Ser.: Earth Environ. Sci.
, 670: 012050.
Wan, Z., Zhang, Q., Xu, Z., Chen, J., and Wang, Q. (2019).
Impact of emission control areas on atmospheric pollutant
emissions from major ocean-going ships entering the
Shanghai Port.
China Marine Pollution Bulletin, 142: 525-
532.
Xu, L. et al. (2018). Source identification of PM2.5 at a port
and an adjacent urban site in a coastal city of China: Impact
of ship emissions and port activities,
Science of The Total
Environment
, 634: 1205-1213.
Yakovlev, S. et al. (2019). Information and analytical support
for the industrial and ecological safety management of
Arctic communications,
IOP Conf. Ser.: Earth Environ.
Sci.
, 302: 012032.
Żabiński, K. and Zielosko, B. (2021). Decision rules
construction: Algorithm based on eav model,
Entropy
Open Access
, 23(1): 1-18.
Zhao, J. et al. (2020). A comprehensive study of particulate
and gaseous emissions characterization from an ocean-
going cargo vessel under different operating conditions,
Atmospheric Environment, 223: 117286.
.
WFSDS 2021 - INTERNATIONAL SCIENTIFIC FORUM ON SUSTAINABLE DEVELOPMENT OF SOCIO-ECONOMIC SYSTEMS
32