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1 INTRODUCTION
The development of inland navigation is a current
topic due to the increasing volume of transport (and
the consequent congestion on roads and the use of
capacity on railway routes) and due to the growing
environmental requirements related to the reduction
of harmful emissions into the environment.
In the European Union, the average share of inland
waterways in goods transport in 2021 was 5.4%, while
in Poland it was 0.1% [1]. The system of inland
waterways in Poland is consistent with the course of
basic cargo routes. Unfortunately, this benefit is
significantly limited due to the systematic
deterioration of navigation conditions on Polish
waterways.
According to [1], the length of navigable routes in
Poland remains at a constant level. The number of
ships registered in the country also changes slightly.
However, the fact that among the cargo ships (barges,
pushers, tugs) registered in Poland, only one barge
was built after 2010 is worrying.
Navigational conditions, especially transit depths,
are typically a Polish problem. Due to the small
number of kilometres of international-class inland
waterways, the declared depth values do not allow for
transport by ships with a draught of more than 1.8 m.
This could be mitigated by more frequent sailings by
lower-drawing vessels. Unfortunately, the second
important problem is the variability of navigation
conditions. This results, among others, from the lack
of waterway cascade in most rivers, but also
The Use of the DEMATEL Method to Analyze Factors
I
nfluencing the Usage of Inland Waterway Transport
E.T. Skupień
Wroclaw University of Science and Technology, Wrocław,
Poland
ABSTRACT: The article presents the results of the DEMATEL method (Decision Making Trial and Evaluation
Laboratory) method. The method had been used to identify and analyze cause and effect relationships between
factors that influence the use of inland waterway transport. The author took into account interactions between
seven factors. The factors were: (1) accessibility and condition of ports, transshipment infrastructure, shipyards,
and service areas, (2) operating parameters of the linear infrastructure (waterways and locks), (3) technical
condition of the fleet, (4) human errors committed by crew, infrastructure operators, and/or decision makers, (5)
climate and weather conditions (floods, droughts, wind, ice, groundwater level), (6) financing the water
transport system - repairs, ongoing maintenance of infrastructure; subsidies and discounts for shipowners, (7)
availability of information (e.g. navigation messages), method of data
collection and distribution,
communication and promotion of inland navigation. The analysis based on the DEMATEL method used the
survey conducted among Polish experts in the field of inland waterway transport. The results of the analysis
show that the most influencing factor is financing, and the most important cause influencing inland waterway
transport is climate.
http://www.transnav.eu
the
International Journal
on Marine Navigation
and Safety of Sea Transportation
Volume 17
Number 4
Decembe
r 2023
DOI: 10.12716/1001.17.04.
05
800
insufficient maintenance works. Both of these
phenomena are strongly related to outlays on fixed
assets for water management. And these, although in
2021 they increased by about 20% compared to 2020,
are still insufficient. It is also incomprehensible that
expenditures on the categories 'water reservoirs and
falls' and 'flood embankment and pump station'
increased by about 50% each, while regulation and
management of rivers and streams' received more
than 30% less. [1]
Due to the negligible share of inland water
transport in the modal split of inland freight transport
in Poland, it is worth analysing what is the factor that
has the greatest impact on the situation.
The condition and development of inland
navigation in Poland is currently the subject of
interest of many researchers. The possibilities for
development and analysis of the current state of
Polish inland waterway transport are described in [2,
3, 4 and 5].
The issues of financing inland navigation were
considered, among others, by [6], concluding that
financing infrastructure is one of the most important
barriers to its increased use. The assessment of the
activities of the government administration in the
implementation of statutory tasks related to the
development and functioning of inland navigation in
Poland, including financing issues, was described in
[7]. Financing was also one of the risk factors affecting
the implementation of inland waterway transport,
described in [8]. This publication listed groups of
adverse events that correlate with factors affecting the
carriage of goods using inland navigation.
Economic issues are also mentioned in [9] as one of
the factors that affect container shipping through
inland waterways. This article also highlights the
importance of infrastructure, including ship handling
facilities (shipyards and ports).
[10] raises the issue of navigation parameters, their
values and variability, thus referring to the condition
of the linear infrastructure, but also to the impact of
climate on this state of affairs. The issues of variability
of weather phenomena over the years and their
impact on navigation conditions are also presented in
[11]. Climate is considered an important factor
influencing sustainable and safe inland navigation
also by [12].
Issues related to the state of the fleet are addressed
in two ways. In the risk analysis already mentioned,
as a factor determining the occurrence of undesirable
events [8] or a factor affecting the use of shipping [9],
but also in publications relating to the use of
technology [e.g. 13, 14]. A ship and its technology
affect safety, which is also described in [15] where the
newest technology, virtual reality, supports
navigation in shallow water, so that the sailor will not
land.
The influence of people and especially human
errors on the execution of the transportation process
using inland waterways is mentioned in [8 and 12].
Errors and mistakes can be reduced by providing
information. This issue is covered by, e.g. [11 and 16].
The scale of interest in the development of inland
navigation in Poland shows that the topic is current
and still requires a lot of analysis. In this publication,
the proposed approach to the topic of inland
waterway transport development by indicating the
most important factors that condition this
development has been presented.
2 RESEARCH METHODOLOGY
The research aimed to select factors that influence the
use of inland waterway transport, to analyse cause
and effect relationships between these factors, and to
point out which of these factors influence the use of
inland waterway transport the most.
Therefore, the adopted methodology includes four
basic research steps.
The first (chapter 3), to select the factors that will
be subject to further analysis, unstructured face-to-
face interviews with two experts were conducted. The
interviews did not include any specific form or list of
factors that influence inland waterway transport to be
selected, but were in the form of brainstorming based
on the knowledge and experience of the respondent.
Based on the indicated factors, a list of seven
factors influencing the usage of inland waterway
transport was created. This step of research includes a
description of those factors.
The second step (Chapter 4) presents the
DEMATEL (DEcision MAking Trial and Evaluation
Laboratory) method, which has been used to analyse
the correlations between factors.
Next, in the third step (chapter 5), the individual
steps of the analysis, including the method to
determine the degree of influence of individual
factors, were presented. This step also includes the
results obtained with the DEMATEL method.
The last and fourth step (chapter 6) presents
conclusions based on the analysis results and further
research directions.
3 SELECTED FACTORS INFLUENCING THE
USAGE OF INLAND WATERWAY TRANSPORT
The selection of factors that were analyzed in the next
steps was based on unstructured face-to-face
interviews with two experts in the field of inland
waterway transport in Poland. The conversations did
not include any specific list of factors to be selected.
They were in the form of brainstorming based on the
respondent’s knowledge and experience. The short
interviews lasted approximately 30 minutes each.
The starting point for considering the factors that
influence the use of inland navigation was the
division of these factors into groups. These were
infrastructure, fleet, people, and environment. During
the process, about thirty factors were mentioned. The
author aimed to narrow down the number of factors
to five - eight, because carrying out the DEMETEL
method analysis on more factors could reduce the
801
number of respondents, based on those answers, the
degree of influence was determined in subsequent
steps.
Ultimately, the experts agreed on a list of seven
factors that influence the use of inland waterways
transport, which were subject to further analysis.
These factors were: (1) accessibility and condition of
ports, transshipment infrastructure, shipyards and
service areas, (2) operating parameters of the linear
infrastructure (waterways and locks), (3) technical
condition of the fleet, (4) human errors committed by
crew, infrastructure operators, and/or decision
makers, (5) climate and weather conditions (floods,
droughts, wind, ice, groundwater level), (6) financing
the water transport system - repairs, ongoing
maintenance of infrastructure; subsidies and
discounts for ship owners, (7) availability of
information (e.g. navigation messages), method of
data collection and distribution, communication, and
promotion of inland navigation.
In the next part of the study, especially in the
tables, abbreviated names will be used. They are
given next to the descriptions of the given factors.
1. Accessibility and condition of ports, transshipment
infrastructure, shipyards, and service areas
(Infrastructure). This factor takes into account the
infrastructure that helps the fleet to be served and
facilitate loading processes. It influences the usage
of inland waterway transport because the fleet
needs to be repaired (regularly and in case of
adverse events) and to have ongoing service and
operation possible. Also, rarely the door-to-door
process can be performed using Inland Waterway
Transportation, and the ability to load and unload
is crucial and strongly affects the costs of the
transportation process.
This has been combined into one factor because
both the port and the service infrastructure are
used to serve the fleet.
2. Operating parameters of the linear infrastructure
(waterways and locks) (Waterways). This factor
takes into account the infrastructure connected to
the waterways itself. It influences the use of inland
waterway transport because these parameters
determine the size of ships able to sail through it.
And what is more important in Polish conditions is
that it also includes the waterway depth, which
influences the ship's draught, and results from the
condition of the waterway, but also from weather
conditions and water resources management.
3. Technical condition of the fleet (Ships). This factor
takes into account ships, their presence, loading,
and geometrical parameters, and their technical
conditions. It influences the usage of inland
waterway transport because ships determine the
possibility, loading amount, and cargo type of
transported goods. They also determine the
parameters of the transport process.
4. Human errors committed by the crew,
infrastructure operators, and/or decision makers
(Errors). This factor takes into account all human
errors that can occur in the transportation process
and other actions that affect the transportation on
inland waterways. It influences the usage of inland
waterway transport because crew errors can lead
to accidents and therefore ship, cargo, and
infrastructure (e.g. lock gate) damage. The
infrastructure (mostly locks) operators' errors can
prolong the transportation process and can
influence the condition of the infrastructure
(negligence, errors in maintenance). Decision-
maker errors can influence the use of inland
waterway transport at each stage (legislation,
waterway parameters, allocation of funding, etc.).
All human errors have been grouped into one
factor due to the willingness to reduce the number
of factors and due to their similar nature.
5. Climate and weather conditions (floods, droughts,
wind, ice, groundwater level) (Climate). This factor
takes into account all the changes in water level
and closure of the shipping route, which are
related to the temporary and long-term weather
phenomena. It influences the usage of inland
waterway transport because it influences the
parameters of the waterways and is independent
of human actions.
6. Financing the water transport system - repairs,
ongoing maintenance of infrastructure; subsidies
and discounts for shipowners (Financing). This
factor takes into account actions dependent on
money. It influences the usage of inland waterway
transport because it affects the parameters of
waterways, technical conditions, and the age of
locks. Financing in the form of subsidies can also
influence the age and technical parameters of the
fleet. And both can influence the interest in this
branch of transport.
7. Availability of information (e.g. navigation
messages), method of data collection and
distribution, communication and promotion of
inland navigation (Information). This factor takes
into account information, data, communication,
and promotion. Influences the use of inland
waterway transport because easy access to
navigation messages can have an impact on
navigation safety. Data collection and distribution,
for example, in the case of waterways depth may
influence the ease of its forecasting and therefore
readiness of its usage. Communication and
promotion of inland navigation may influence
knowledge of the society about this branch of
transport, interest in transport, and the
attractiveness of professions related to inland
navigation.
4 THE DEMATEL METHOD
The DEcision MAking Trial and Evaluation
Laboratory was originally developed for the needs of
the Science and Human Affairs Programme,
implemented in the years 19711976. The main
objective of the project was to define cause-and-effect
relationships between global and regional economic,
social, and economic problems. This method was
intended to help identify factors that directly or
indirectly cause other problems to occur. [17]
In the 1990s [18] described this method as one of
the most promising multi-attribute decision analysis
expert tools for structuring complex decision-making
issues and facilitating their resolution. In the 2000s,
appearing publications began to confirm the use of
DEMATEL in areas differed from the previous ones
802
[e.g.19, 20, 21 and 22]. New applications contributed
to changes, extensions, and improvements of the
method. The advantages of the method, including, in
particular, the ability to take into account the impact
of hardness and couplings in interactions between
elements and flexibility, make it useful to improve
commonly known tools used in various fields.
In the basic version of the method, a multilevel
scale is used to express the direct impact in relation to
a pair of elements [17, 23 and 24]. It consists of a zero
level (corresponding to the lack of direct impact of the
first factor on the second) and a number of levels
expressing a gradual increase in intensity up to the
maximum impact (the author of this publication used
a scale from 0 to 3 degrees expressing the influence of
the first factor on the second as: 1 - small, 2 - medium,
3 - large).
On the basis of the adopted scale, the intensity of
the direct impact of the i-th element on the j-th
element is determined, marked with the symbol x*
ij,
where: i, j = 1, 2…n, where n is the number of system
elements (in the case of this publication, the number n
corresponds to the number of examined factors, i.e.
n=7).
The direct impact matrix X* is used to show the
direct impact structure.
** *
12 13 1
* **
21 23 2
*
** *
31 32 3
*
1
** *
123
0
0
0
0
n
n
n
nn
nn n
xx x
xxx
X
xx x
x
xxx




=






To determine the structure of the total impact, an
appropriately transformed standardised matrix of
direct impact X is used. For its determination, the
maximum sum of rows of elements of the X* matrix is
used.
*
*
1
1
max
n
ij
j
XX
x
=
=





The total impact structure is described by the total
impact matrix T=X+ΔX, where: ΔX is the indirect
impact matrix. ΔX=X
2
(I−X)
-1
, T=X(I−X)
-1
and I is a unit
matrix consistent with X.
The role of individual elements of the system can
be deduced on the basis of two indicators: s+ and s-
obtained on the basis of row and column sums of the
matrix T. The s+ indicator is the overall influence and
expresses the relative importance of elements. While
s- is a net influence and determines the causal (s>0)
or the effect (s<0) nature of the elements.
The DEMATEL method allows taking into account
the opinions of a group of independently working
experts. This is achieved by aggregating the direct
impact matrix, defined by individual K experts (in the
case of this publication, the number of experts was
K=10), and calculating the arithmetic average intensity
of the direct impact, provided by experts. [17]
In recent years, there have been many publications
related to transport in which the DEMATEL method
is used.
An example can be given by [25] where the
authors indicate a solution to increase the use of rail
transport in the supply chain. This can be achieved
through better coordination between those involved
in the planning and implementation of freight
transport services (rail and non-rail). It is therefore
necessary to assess the interests of each of them and
their mutual correlations.
The subject of sustainable mobility can also be
considered using this method. [26] in his publication
indicates the classification of groups of measures,
dimensions and criteria that decision makers and
planners should include in modified plans for the
sustainable development of transport systems in order
to support the development of sustainable transport.
Topics similar to those presented in this article
appeared in [27]. The results show that management
issues, policy bias, high entry cost requirements and
lack of interconnections between rivers are the most
important factors holding back the development of
inland navigation in India. However, the [27] authors
refer to the situation in India and the emphasis in the
selection of factors was placed on technical and
organisational issues (10 factors in total vs. 3 of 7 in
this publication).
5 RESULTS OF THE DEMATEL METHOD
ANALYSIS
To complement the direct impact matrix X*, the
intensity of impact influence in relation to a pair of
factors influencing the usage of inland waterway
transport was determined by experts in this field.
Experts represented the scientific community,
representatives of the administration, and users of the
inland waterways of Poland. Of the 15 invitations
sent, the author received 10 responses and based on
these responses, further steps were carried out.
Experts were asked to complete the matrix by
participating in an online survey. The questionnaire
contained questions that determined the degree of
influence of individual factors (described in Chapter
3) on each other (, preserving the determination of the
influence of factor i on j and j on i, because these
values are not the same in most cases. From the 10
collected answers (as mentioned in Chapter 4) the
arithmetic average was taken in each field of the X*
matrix and its value rounded to the integer value was
introduced. The matrix built on the basis of the
experts' answers is presented in Table 1.
Table 1. The direct impact matrix for selected factors that
influence the usage of inland waterway transport. Source:
own work
________________________________________________
(1) (2) (3) (4) (5) (6) (7)
________________________________________________
(1) Infrastructure 0 1 2 1 0 2 2
(2) Waterways 3 0 2 2 0 2 1
(3) Ships 1 1 0 2 0 1 1
(4) Errors 2 2 2 0 0 2 1
(5) Climate 2 3 1 1 0 2 0
(6) Financing 3 3 2 1 0 0 2
(7) Information 2 1 1 2 0 2 0
________________________________________________
803
Based on matrix X*, knowing that the maximum
sum of rows of elements is 11 (for (6) Financing),
standardised matrix of direct impact X was calculated.
It can be seen in Table 2.
Table 2. The standardized direct impact matrix for selected
factors that influence the use of inland waterways transport.
Source: own work
________________________________________________
(1) (2) (3) (4) (5) (6) (7)
________________________________________________
(1) Infrastructure 0.000 0.091 0.182 0.091 0.000 0.182 0.182
(2) Waterways 0.273 0.000 0.182 0.182 0.000 0.182 0.091
(3) Ships 0.091 0.091 0.000 0.182 0.000 0.091 0.091
(4) Errors 0.182 0.182 0.182 0.000 0.000 0.182 0.091
(5) Climate 0.182 0.273 0.091 0.091 0.000 0.182 0.000
(6) Financing 0.273 0.273 0.182 0.091 0.000 0.000 0.182
(7) Information 0.182 0.091 0.091 0.182 0.000 0.182 0.000
________________________________________________
Furthermore, the total impact matrix T is shown in
Table 3.
Table 3. The total impact matrix for selected factors
influencing the use of inland waterway transport. Source:
own work
________________________________________________
(1) (2) (3) (4) (5) (6) (7) Sum
________________________________________________
(1) 0.559 0.511 0.632 0.506 0.000 0.625 0.547 3.380
(2) 0.906 0.522 0.747 0.664 0.000 0.733 0.565 4.138
(3) 0.522 0.420 0.377 0.486 0.000 0.455 0.385 2.645
(4) 0.787 0.637 0.698 0.472 0.000 0.685 0.523 3.801
(5) 0.826 0.747 0.652 0.569 0.000 0.714 0.459 3.967
(6) 0.972 0.785 0.795 0.647 0.000 0.632 0.676 4.508
(7) 0.733 0.528 0.580 0.582 0.000 0.643 0.404 3.469
________________________________________________
Sum: 5.306 4.151 4.481 3.925 0.000 4.487 3.558
________________________________________________
Finally, the results of the DEMATEL method, in a
form of values of significance indicator and relation
indicator, are presented in Table 4.
Table 4. The values of the significance indicator and the
relation indicator for selected factors that influence the use
of inland waterway transport. Source: own work
________________________________________________
significance relation cause or
indicator s
+
indicator s
-
effect
________________________________________________
(1) Infrastructure 8.686 -1.925 Effect
(2) Waterways 8.289 -0.013 Effect
(3) Ships 7.127 -1.836 Effect
(4) Errors 7.726 -0.124 Effect
(5) Climate 3.967 3.967 Cause
(6) Financing 8.995 0.020 Cause
(7) Information 7.028 -0.089 Effect
________________________________________________
The results presented in Table 4 indicate that the
most important factor among the factors analyzed is
financing the water transport system, repairs, ongoing
maintenance of the infrastructure; subsidies and
discounts for shipowners (s
+
=8.995). However,
accessibility and condition of ports, transshipment
infrastructure, shipyards and service areas (s
+
=8.686)
as well as operational parameters of linear
infrastructure (waterways and locks) (s
+
=8.289) also
received high significance indicators.
Of the seven investigated factors, as a result of the
DEMATEL analysis, 2 were recognized as causes
(Financing the water transport system - repairs,
ongoing maintenance of infrastructure; subsidies and
discounts for shipowners (s
-
=0.020) and Climate and
weather conditions (floods, droughts, wind, ice,
groundwater level (s
-
=3.967)), and the remaining 5 as
effects, but nevertheless the values of two of them
(Operating parameters of the linear infrastructure
(waterways and locks) (s
-
=-0.013) and Availability of
information (e.g. navigation messages), method of
data collection and distribution, communication and
promotion of inland navigation (s
-
=-0.089)), despite
being negative, were close to zero, which suggests
that they can be considered as both cause and effect.
6 CONCLUSIONS
The results of the DEMATEL analysis are subject to
expert responses. Therefore, it is important that the
questions are unambiguous and that the purpose of
the study is understood. Since the questionnaires
were sent by name, experts had the opportunity to
refer to the content of the questions and give their
opinion on the study.
There were voices among the respondents that the
purpose of the study was not clear to everyone,
making it difficult for them to determine the
relationship between the factors, according to them,
weakly dependent, because they considered these
questions meaningless.
This is because the introduction that the experts
saw before taking the survey was short to avoid
discouraging the respondents with too much time
necessary to devote to completing the survey.
The experts also pointed out the wide range of
individual factors that limited the precision of the
answers. This was due to the fact that the author
wanted to limit the size of the matrix (the number of
factors studied) without omitting the most important
factors.
These are the weaknesses of this survey, which in
the future can be overcome by preparing the survey in
a more detailed form, which will reduce the number
of respondents but increase the quality of responses.
Regardless of these disadvantages, the results of
the analysis indicate that financing and infrastructure
condition (both waterways and ports) are the most
important factors among those analyzed. They are the
most significant indicators. This leads to the
conclusion that if one is looking for a way to increase
freight transport on inland waterways, then one
should focus on these areas.
Financing the water transport system - repairs,
ongoing maintenance of infrastructure; subsidies and
discounts for shipowners; Accessibility and condition
of ports, transshipment infrastructure, shipyards, and
service areas and Operating parameters of the linear
infrastructure (waterways and locks) are of the most
significance of analyzed factors.
The division into causes and effects of the
examined factors influencing the usage of inland
waterway transport shows that the Climate and
weather conditions (floods, droughts, wind, ice,
groundwater level is strongly rated as a cause of other
factors. But it is also the one that people's influence is
very limited. The second cause is Financing the water
transport system, repairs, ongoing maintenance of
infrastructure; subsidies and discounts for
shipowners, but its score is very low. Similarly to
score of Operating parameters of the linear
infrastructure (waterways and locks) and Availability
804
of information (e.g. navigation messages), method of
data collection and distribution, communication and
promotion of inland navigation being effects in this
classification. It means that information and
waterways parameters are both causes and effects, so
can influence other factors, but also can be influenced.
As a next research step, the Author plans to
improve the survey. The number of factors could be
greater, which would allow to tighten its range. E.g.
Financing the water transport system - repairs, ongoing
maintenance of infrastructure; subsidies and discounts for
shipowners (Financing) could be divided into Financing
repairs, ongoing maintenance of infrastructure, and
Subsidies and discounts for shipowners. And the factor of
Financing infrastructure investments could be added.
Then the survey may be used for Path Analysis and
estimating weights of examined factors. The result of
such research may be more accurate
recommendations on improving transportation on
inland waterways.
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