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Selection of Tourism Destinations Priority using 6AsTD Framework and TOPSIS

01 Dec 2019-Vol. 2019, pp 346-351

Abstract: Many tourist cities in developing countries, especially in Indonesia, have exciting tourism destinations. However, some of them do not use a good management concept, for example, to develop tourism destinations. Early process in the development of the destination is making priority selection appropriately. They should consider the success level of tourism destinations. This paper discusses implementations of the 6AsTD framework and TOPSIS method as a combination concept to select destinations priority that recommended to do development. 6AsTD has six components that reflect successful tourism destinations. All components used in the process of the TOPSIS method as input criteria. This research used 11 tourism destinations data bundles in Batu City. The result is a tourism destination with the highest priority has a score of 0.88, and the lowest priority has a score of 0.19.
Topics: Tourism (61%), TOPSIS (53%), Destinations (52%)

Summary (1 min read)

Introduction

  • Keywords—tourism destinations, development, priority, 6AsTD framework, TOPSIS I. INTRODUCTION Indonesia is a developing country that has many cities with potential tourism destinations.
  • The development of a tourism destination is carried out by improving the facilities and services [3].
  • Between two such frameworks, 6AsTD has a complete analysis of the facilities and services in a tourism destination.
  • TOPSIS is one of the techniques in multiple-criteria decision-making that can solve the problems with several attributes clearly and systematically [9][10].
  • The section includes the Framework and Method, Result and Discussion, and the last is Conclusion.

A. The Tourism Destinations Concept

  • The following are definitions that can explain what tourism destinations are.
  • The tourists also want devices or transportation routes that are easily accessible [14].
  • Amenities (A3) have four variables that have a direct influence on visitors.
  • The available packages component shows a combination of several services in one tour package to offer to visitors [16].
  • Each tourism destination may have various activities offered to visitors.

C. TOPSIS

  • The Technique for Order Preference by Similarly to Ideal Solution is an essential part of the process of determining the priorities of which tourist destinations that are most suitable for development.
  • The following is the TOPSIS procedure used in this study [19][20]: • Make a normalization of the decision matrix.
  • There are several parts which are prepared to complete this method, including: 1) Alternative.
  • These characteristics have obtained the component of the 6AsTD; there are attractions, accessibility, amenities, available packages, activities, and ancillary services.
  • Based on the survey result of Batu City tourism destinations, all of the components have scores that shown through the following tables.

B. TOPSIS Implementations Result

  • Table 6 shows the scores of 6AsTD framework components as the criteria for selecting priorities.
  • The components of accessibility, amenities, and activities have the highest weight because the three components are directly related to the convenience of tourism activities.
  • Each component of the framework has variables with different scores and characteristics.
  • The authors use the TOPSIS method to select the priority of tourism destination development.
  • Based on the process results of 11 tourism destinations in Batu City, Cangar has top priority with the highest score, followed by CobanRais, CobanTalun, BNS, Jatim Park 3, Selecta, Eco Green Park, Alun-Alun, Jatim Park 1, Jatim Park 2 and the last is BNS.

ACKNOWLEDGMENT

  • This research supported by the Telematic Engineering Laboratory of Institut Teknologi Sepuluh November Surabaya and Multimedia Laboratory of Universitas Islam Negeri Maulana Malik Ibrahim Malang.
  • S. Vengesayi, F. T. Mavondo, and Y. Reisinger, “Tourism Destination Attractiveness: Attractions, Facilities, and People as Predictors,” Tour. Anal., vol. 14, no.
  • E. Roszkowska, “Multi-criteria decision making models by applying the TOPSIS method to crisp and interval data,” Mult.

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Selection of Tourism Destinations Priority using
6AsTD Framework and TOPSIS
1
st
Yunifa Miftachul Arif
Department of Electrical Engineering
Institut Teknologi Sepuluh November
Surabaya, Indonesia
Department of Informatics Engineering
Universitas Islam Negeri Maulana
Malik Ibrahim
Malang, Indonesia
yunif4@gmail.com
2
nd
Supeno Mardi Susiki Nugroho
Department of Electrical Engineering
Institut Teknologi Sepuluh November
Surabaya, Indonesia
mardi@ee.its.ac.id
3
rd
Mochamad Hariadi
Department of Electrical Engineering
Institut Teknologi Sepuluh November
Surabaya, Indonesia
mochar@ee.its.ac.id
Abstract
Many tourist cities in developing countries,
especially in Indonesia, have exciting tourism destinations.
However, some of them do not use a good management
concept, for example, to develop tourism destinations. Early
process in the development of the destination is making
priority selection appropriately. They should consider the
success level of tourism destinations. This paper discusses
implementations of the 6AsTD framework and TOPSIS
method as a combination concept to select destinations priority
that recommended to do development. 6AsTD has six
components that reflect successful tourism destinations. All
components used in the process of the TOPSIS method as input
criteria. This research used 11 tourism destinations data
bundles in Batu City. The result is a tourism destination with
the highest priority has a score of 0.88, and the lowest priority
has a score of 0.19.
Keywords—tourism destinations, development, priority,
6AsTD framework, TOPSIS
I. I
NTRODUCTION
Indonesia is a developing country that has many cities
with potential tourism destinations. Some of them are not yet
applying the tourism management concept correctly. That is
the reason why the tourist and government unable to collect
more potential revenue from the tourism sector. Tourism
destinations are areas that have a significant influence on
improving the economy in tourism cities. If tourism is well
developed, then the economy will also run well [1].
Therefore tourist city needs to implement the concept of
good tourism development, for example using smart tourism.
Before those concepts implemented and the development
process began, the city government should do two things.
First, the government must ensure that facilities and services
in tourism destinations are available either. We can see the
success of tourism destinations through the availability of
existing support facilities and service [2]. The development
of a tourism destination is carried out by improving the
facilities and services [3]. Improving the facilities in a
balanced manner is aimed to fulfil the tourist's desires and
create comfort for them, so they will be interested in visiting
and coming back again [4]. The second is to select the
priority destinations base on its characteristics. Each tourism
destination certainly has different characteristics regarding
facilities and services [5]. The problem is how the city
government select tourist destinations priorities
appropriately. The developing destinations process will be
able to absorb the budget properly if the government does the
priority determination correctly.
To answer these problems required a framework and
method for analyzing and selecting tourism destinations.
There are only a few of the framework that is used to analyze
tourism destinations. Among them are the Premier-Ranked
Tourist Destination Framework (PRTDF) and 6As of
Tourism Destinations (6AsTD) Framework [6][7]. Between
two such frameworks, 6AsTD has a complete analysis of the
facilities and services in a tourism destination. 6AsTD also
specifically used to measure the success level of a tourism
destination. This framework consists of six components,
which include Attractions, Accessibility, Amenities,
Available Packages, Activities and Ancillary Services. Each
of these components has different characteristics. Attraction,
Available Packages, and Activities generally describe the
existing tourism services. Whereas Accessibility, Amenities,
and Ancillary Services describe the supporting facilities
provided in tourism destinations and surrounding areas [8].
This research proposes a combination of the 6AsTD and
Technique for Order Preference by Similarly to Ideal
Solution (TOPSIS). We chose this framework and method
because both are combinations that complement each other.
6AsTD is in charge of providing the criteria based on the
components, whereas TOPSIS served to process these
criteria to become a priority. TOPSIS is one of the
techniques in multiple-criteria decision-making that can
solve the problems with several attributes clearly and
systematically [9][10]. TOPSIS is useful for solving complex
problems in an operating system [11]. In this research,
TOPSIS used to select the tourism destinations that are a
priority development. For testing the accuracy of our
proposed concept, this research use 11 tourism destinations
data bundles in Batu City.
This paper has several sections to describe the research
steps and explain the results. The section includes the
Framework and Method, Result and Discussion, and the last
is Conclusion.
II. M
ETHOD
A
ND
F
RAMEWORK
A. The Tourism Destinations Concept
The following are definitions that can explain what
tourism destinations are. According to Carlos Lampus, a
tourism destination is a place that draws the attention of
tourists to make tourist visits [12]. It is a fusion of tourism
products and services that considered a complex system [13].
Tourism destination is also an area chosen by visitors to
carry out tourism activities, covering all available facilities,
including entertainment facilities, accommodation, lodging,
restaurants, and so on [7][2].

Every visitor has a variety of goals when they are at
tourism destinations. These goals include refreshing,
working, attending activities, shopping, studying or just
visiting friends [12]. Therefore, existing facilities and
services, including public facilities, must be able to support
every visitor activity [13]. For example, tourists certainly
need accommodation when they visit a place for more than
24 hours. The tourists also want devices or transportation
routes that are easily accessible [14]. Facilities and services
included in tourism destinations are accommodation
facilities, destination utilities, communication facilities, and
destination accessibility. The references to the analysis of
accommodation facilities include quality, variety, upmarket
and value for money. Destination utilities include clean water
and electricity. Communication facilities include modern
communication facilities and internet access. Destination
accessibility includes quality of the road, traffic congestion,
car rental facilities, adequate transport network, adequate
internal transportation dan accessibility of attraction sites
[14]. We use the parts of tourism destination support services
as a reference to complete the variables of the 6AsTD
framework described in the next section.
B. 6AsTD Framework
As stated earlier, each tourist destination has different
characteristics even though it located in a nearby city. So the
government needs a reference for determining the success
rate assessment of a tourist destination. 6AsTD is a
framework that can be used to answer these problems. This
framework, first introduced by Dimitrios Buhalis, has six
main components, shown in figure 1 [7][8][2]. Each
component of 6AsTD has different variables. All of them
indicate the characteristics of tourism destinations [15].
Figure 1: Components of the 6AsTD framework
Attractions are an exciting point in tourist destinations
that make people interested in visiting. Tourist attractions are
open to the public and use for entertainment, attraction or
learning [16]. In this framework, attractions (A1) have four
variables include natural landscape (A1
1
), artificial tourism
(A1
2
), cultural tourism (A1
3
) and special events (A1
4
)
[7][8][2]. Each of these variables describes the point of
interest numbers at each tourism destinations. The following
formula is used to get the attraction's score.
1=1
+1
+1
+1
Every tourism destinations must have good access to
make it easier for visitors to come and doing tourism
activities in that place [17]. The accessibility component (A2)
has four assessment variables. These variables include
transportation routes (A2
1
), terminals (A2
3
), Public
Transportation Inside (A2
3
) and Public Transportation
Outside (A2
4
) [4] [5] [6] [15] [16]. Transportation routes are
the route available from the city centre to the destination.
The terminal variable is about distance access from the
terminal to the destination. Public Transportation Inside
shows the availability of public transportation at tourism
destinations. While Public Transportation Outside shows the
alternative transportation that can be used to go to tourism
destinations, such as taxis, car rental facilities, buses and
other public transportation such as Gojek, Grab, and others.
We can get the scores of accessibility components using the
following formula.
2=2
+2
+2
+2
Amenities are components of the 6AsTD framework that
represent available facilities at the tourism destinations.
These facilities can be available both inside and surround it
[2]. Amenities (A3) have four variables that have a direct
influence on visitors. These components can increase the
comfort level of visitors. These variables include lodging and
hotels (A3
1
), restaurants (A3
2
), public facilities (A3
3
) and
shopping centers (A3
4
) [7][8][14][16]. Lodging and hotels
describe the availability of places used by visitors to stay
overnight. Restaurants describe the availability of places for
eating. Public facilities include worship facilities, toilets, and
so on. A shopping center is a place that can be visited by
tourists to buy souvenirs. The following formula is used to
get the amenities score.
3=3
+3
+3
+3
The available packages component shows a combination
of several services in one tour package to offer to visitors
[16]. Available packages contain unique offers that can
attract visitors' attention [2]. The tour package can be in the
form of a package of several tourist spots with special prices.
The available packages include guiding services, organized
tour packages and special interest tours [15]. The scores of
available packages (A4) is the number of all packages offered
to the visitors of a tourism destination.
Activities are components that describe all tourism
activities that can be carried out by visitors at tourism
destinations. Components of activities affect to trigger
tourists to come and visit [8][2]. Each tourism destination
may have various activities offered to visitors. These
activities example are sightseeing, swimming, outbound,
playing, taking photographs, and other activities. The scores
of activities component (A5) is the number of all activities
that allow visitors to do at a tourism destination.
The ancillary service component describes the supporting
facilities inside and around tourism destinations. These
facilities may not be directly related to tourism activities but
by some visitors need them [2]. Ancillary services (A6) have
several variables of assessment; communication channels
(A6
1
), internet services (A6
2
), ATM or bank (A6
3
), medical
services (A6
4
), and postal services (A6
5
) [7][8][14][16].
Communication channels are a means of communication
used in tourism destinations, including public telephone and
communication technology, that can be accessed by mobile
phones. Internet services include public internet services and
internet technology through providers that can be accessed
using a smartphone. ATM or bank is a supporting facility
that allows visitors to access their financial. Medical service
variables describe health services and facilities that accessed
inside and around tourism destinations. Postal service is a
(
1
)
(
2
)
(
3
)

(
6
)
facility that does not always exist in tourist attractions but
sometimes is needed, for example, to send letters and
packages. We use this formula to get the ancillary services
score.
6=6
+6
+6
+6
+6
C. TOPSIS
In this research, the Technique for Order Preference by
Similarly to Ideal Solution (TOPSIS) is an essential part of
the process of determining the priorities of which tourist
destinations that are most suitable for development. TOPSIS
is one of MCDM techniques used in decision-making
methods[11][17]. This technique is a favorite because it has a
reasonable concept, easy understanding, and a lighter
computing process. The working principle of TOPSIS is that
the chosen alternative has the closest distance-vector the
positive ideal solution, and the farthest to the negative ideal
solution [18]. The following is the TOPSIS procedure used
in this study [19][20]:
Make a normalization of the decision matrix.

=



Make a weighted normalized decision matrix.

=

Determine the matrix of positive ideal solutions
(A
+
) and negative ideal solutions (A
-
).
=
󰇛
,
,…,
󰇜
=
󰇛
,
,…,
󰇜
Determine the distance between scores with the
matrix of positive and negative ideal solutions.
=

−


=



Determine the preference score for each alternative
(V
i
).
=
+
There are several parts which are prepared to complete
this method, including:
1) Alternative
The alternative in this study are several choices of
objects to be processed; they are tourism
destinations with the lowest score.
2) Criteria
Criteria are the characteristics possessed by the
tourism destinations object. These characteristics
have obtained the component of the 6AsTD; there
are attractions, accessibility, amenities, available
packages, activities, and ancillary services.
3) Priority weight
The priority weight referred to in this study is the
same as the weight of interest possessed by each
criterion. This weight uses a scale of 1 to 5.
III. R
ESULT
A
ND
D
ISCUSSION
Two steps are guaranteed to get the results of the
research. First, define the components scores of the 6AsTD
framework as the criteria score of the TOPSIS method. The
second step is to perform the TOPSIS process to get the
priority result.
A. 6AsTD Component Scoring
The selection of tourism destinations requires parameter
scores derived from the components of the 6AsTD
framework. To get the score of each component, we
surveyed 11 popular tourism destinations in Batu City. The
survey of 6AsTD framework components carried out by :
Go to tourism destinations and record all available
attraction spots, facilities and services provided in
ea tourism destination.
Retrieve facilities and services data through the
analysis of website content owned by tourism
destinations.
Based on the survey result of Batu City tourism
destinations, all of the components have scores that shown
through the following tables.
TABLE I. A
TTRACTIONS
S
CORES
Tourism
Destinations
Attractions Variables
A1
Score
A1
1
A1
2
A1
3
A1
4
Cangar 2 3 0 0 5
Coban Talun 2 5 0 4 11
Selecta 1 6 0 0 7
Alun-alun 1 5 0 0 6
Museum Angkut 0 13 0 8 21
Coban Rais 4 6 2 0 12
Jatim Park 1 1 12 1 5 19
Jatim Park 2 0 4 0 0 4
Eco Green Park 2 30 0 1 33
BNS 0 35 0 1 36
Jatim Park 3 1 13 0 0 14
TABLE II. S
CORE OF
A
CCESSIBILITY
C
OMPONENT
Tourism
Destinations
Accessibility Variables
A2
Score
A2
1
A2
2
A2
3
A2
4
Cangar 0 3 1 0 4
Coban Talun 0 5 1 2 8
Selecta 1 4 0 4 9
Alun-alun 0 5 1 4 10
Museum Angkut 1 5 1 5 12
Coban Rais 0 2 1 2 5
Jatim Park 1 1 4 2 5 12
Jatim Park 2 1 2 2 5 10
Eco Green Park 3 2 1 4 10
BNS 0 7 1 4 12
Jatim Park 3 1 5 2 4 12
(
7
)
(
8
)
(
9
)
(
10
)
(
5
)
(
4
)

TABLE III. S
CORE OF
A
MENITIES
C
OMPONENT
Tourism
Destinations
Amenities Variables
A3
Score
A3
1
A3
2
A3
3
A3
4
Cangar 0 1 4 0 5
Coban Talun 0 1 4 0 5
Selecta 2 4 7 2 15
Alun-alun 5 5 5 9 24
Museum Angkut 4 4 14 7 29
Coban Rais 1 3 3 0 7
Jatim Park 1 3 7 12 3 25
Jatim Park 2 4 4 7 3 18
Eco Green Park 3 4 8 2 17
BNS 2 4 9 2 17
Jatim Park 3 4 4 4 1 13
TABLE IV. S
CORE OF
A
VALIABLE
P
ACKAGES
A
ND
A
CTIVITIES
C
OMPONENT
Tourism
Destinations
Components
Scores
A4 A5
Cangar 1 4
Coban Talun 1 3
Selecta 1 7
Alun-alun 2 3
Museum Angkut 2 6
Coban Rais 1 3
Jatim Park 1 5 5
Jatim Park 2 2 6
Eco Green Park 1 5
BNS 2 3
Jatim Park 3 2 5
TABLE V. S
CORE OF
A
NCILLARY
C
OMPONENT
Tourism
Destinations
Ancillary Services Variables
A6
Score
A6
1
A6
2
A6
3
A6
4
A6
5
Cangar 0 1 0 1 0 2
Coban Talun 0 1 0 1 1 3
Selecta 0 1 0 3 2 6
Alun-alun 4 4 3 3 2 16
Museum Angkut 4 2 3 3 2 14
Coban Rais 0 2 0 2 1 5
Jatim Park 1 2 3 4 3 2 14
Jatim Park 2 2 3 4 3 2 14
Eco Green Park 3 3 1 3 2 12
BNS 2 2 1 3 2 10
Jatim Park 3 3 1 0 3 2 9
Table 1 describes the results of attractions component
scoring. This score represents the number of available tourist
spots based on the natural landscape, artificial tourism,
cultural tourism, and special events. BNS has the highest
score, while the lowest is Jatim Park 2. It shows that BNS
had a more interesting tourism spot than other tourism
destinations in Batu. Table 2 shows the results of the
accessibility component assessment. This score is obtained
by considering the four variables that belong to the
accessibility component. The table also describes the
assessment of transportation routes and facilities that can be
used to reach tourism destinations. Table 3 shows the results
of the amenities evaluation. The table also shows the
completeness of supporting facilities that are directly related
to tourism activities, for example, the availability of lodging,
restaurants, shopping centers and public facilities provided at
the tourism destinations area. In this component, Museum
Angkut, Jatim Park 1, and Alun-Alun have the highest score.
Table 4 illustrates the difference score of available tour
packages owned by available packages components. Every
tourism destinations in Batu city generally already have a
tour package that is offered by the management or by travel
agents. However, the variation of packages is different, so it
assesses available packages also becomes unequal. Table 4
also describes a variety of activities that visitors can do. Each
tourism destination has a more evenly distributed score of
activity components. This score indicates that the
destinations have almost the same score. Table 5 shows the
completeness of supporting facilities in the tourism
destinations that are not directly related to tourism activities.
Jatim Park 1 is the complete tourism destination compared to
the others.
B. TOPSIS Implementations Result
Table 6 shows the scores of 6AsTD framework
components as the criteria for selecting priorities. Each
component has a different weight, as shown in Table 7. The
components of accessibility, amenities, and activities have
the highest weight because the three components are directly
related to the convenience of tourism activities. The table
shows that available packages weight 4, and the ancillary
service weights 3. Attractions have the least weight because
the development of the components of the attraction limited
by the initial theme of the tourism destinations.
TABLE VI. T
HE SCORES OF
6A
S
TD
C
OMPONENTS
A
S
T
HE
TOPSIS
C
RITERIA
Tourism
Destinations
6AsTD Component
A1 A2 A3 A4 A5 A6
Cangar 5 4 5 1 4 2
Coban Talun 11 8 5 1 3 3
Selecta 7 9 15 1 7 6
Alun-alun 6 10 24 2 3 16
Museum Angkut 21 12 29 2 6 14
Coban Rais 12 5 7 1 3 5
Jatim Park 1 19 12 25 5 5 14
Jatim Park 2 4 10 18 2 6 14
Eco Green Park 33 10 17 1 5 12
BNS 36 12 17 2 3 10
Jatim Park 3 14 12 13 2 5 9
TABLE VII. P
RIORITY
W
EIGHTING OF
6A
S
TD
C
OMPONENT
6AsTD Component
Priority
Weighting
Attractions (A1)2
Accessibility (A2) 5
Amenities (A3)5
Available Packages (A4) 4
Activities (A5)5
Ancillary Service (A
6
) 3

Figure 14: The score of priority for developing tourism
destinations
Figure 14 shows the ranking results of prioritizing tourist
destinations using TOPSIS. Based on these figures,
destinations with the highest score also has the highest
priority than others. Cangar was ranked first in the priority of
tourism development, followed by CobanRais and
CobanTalun. Cangar has a score of 0.88, while CobanRais is
0.85, and CobanTalun is 0.78. Tourism destination in Batu
City, which has the lowest development priority, is Museum
Angkut with a score of 0.19.
IV. C
ONCLUSIONS
The development of tourism destinations, especially in
developing countries, requires accuracy in determining the
destination priority. This research offers a concept in
prioritizing the development of tourist destinations by
combining the 6AsTD framework and the TOPSIS method.
Each component of the framework has variables with
different scores and characteristics. The components scores
illustrate the success level of tourism destinations as the
TOPSIS criteria. We use the TOPSIS method to select the
priority of tourism destination development. Based on the
process results of 11 tourism destinations in Batu City,
Cangar has top priority with the highest score, followed by
CobanRais, CobanTalun, BNS, Jatim Park 3, Selecta, Eco
Green Park, Alun-Alun, Jatim Park 1, Jatim Park 2 and the
last is BNS.
A
CKNOWLEDGMENT
This research supported by the Telematic Engineering
Laboratory of Institut Teknologi Sepuluh November
Surabaya and Multimedia Laboratory of Universitas Islam
Negeri Maulana Malik Ibrahim Malang.
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Citations
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Journal ArticleDOI
12 Jan 2021-Sustainability
Abstract: Today, medical tourism is one of the fastest growing sectors of the tourism industry around the world. Medical tourism can contribute to the sustainable development and economic dynamism of countries. Therefore, in this study, we prioritize the world’s leading countries in medical tourism for Iranians. First, five main criteria and 20 sub-criteria were selected, which are the reasons for choosing a country as a medical tourism destination. In this paper a combined fuzzy SWARA-PROMETHEE approach was used to prioritize tourism destinations. The acronym PROMETHEE stands for Preference Ranking Organization Method for Enrichment Evaluation method and represents an useful MCDA (Multi-Criteria Decision Analysis) tool. On the other hand, SWARA acronym means Step-wise Weight Assessment Ratio Analysis. The criteria were weighted using the fuzzy SWARA approach. In the following, using the PROMETHEE approach, we prioritized eight countries as tourism destinations, then we identified criteria related to sustainability of medical tourism destinations and prioritized medical tourism destinations using these criteria as the contributions of this paper. The weights obtained for criteria “Abilities of skilled staff,” “Applied medical equipment,” “Marketing capability,” “Type of service provided,” and “Application of information and communications technology” were 0.176, 0.232, 0.108, 0.395, and 0.089, respectively. The results show that medical tourism destination priorities for Iranians are India (Phi = 0.1396), Malaysia (Phi = 0.1128), Panama (Phi = 0.0976), Mexico (Phi = 0.0790), Singapore (Phi = 0.0096), Taiwan (Phi = −0.0442), Brazil (Phi = −0.1747), and Costa Rica (Phi = −0.2196), respectively. Negative Phi values indicate below average performance of those countries and positive Phi values indicate above average performance of those criteria. The results indicate that countries with negative Phi values should be strengthened relative to the improvement of some criteria.

11 citations


Cites background or result from "Selection of Tourism Destinations P..."

  • ...They presented the 6AsTD framework and TOPSIS method as a combination concept to rank medical tourism destinations....

    [...]

  • ...They used GIS model for locating destinations and used the TOPSIS method for ranking them....

    [...]

  • ...The acronym TOPSIS stands for Technique for Order Performance by Similarity to Ideal Solution....

    [...]

  • ...TOPSIS Arif et al. (2019) investigated medical tourism destination priority in Batu City....

    [...]

  • ...Morovati Sharifabadi, A.; AsadianArdakani, F. Offering a model with the hybrid method of Fuzzy TOPSIS and structuralinterpretive modeling in Yazd....

    [...]


Journal ArticleDOI
TL;DR: This paper proposes the data-sharing system scheme, which uses a blockchain-based decentralized network that each node can be connected directly to each other, to support the exchange of data between them.
Abstract: One thing that tourists need to plan their tourism activities is a recommendation system. The tourism destinations recommendation system in this study has three primary nodes, namely user, server, and sensor. Each node requires the ability to share data to produce recommendations that the user expects through their mobile devices. In this paper, we propose the data-sharing system scheme uses a blockchain-based decentralized network that each node can be connected directly to each other, to support the exchange of data between them. The block architecture used in the blockchain network has three main parts, namely block information, hashes, and data. Each type of node has a different structure and direction of data communication. Where the user node sends destination assessment data to the server node, then the server node sends data from the machine learning process to the user node. The sensor sends dynamic data about popularity, traffic, and weather to the user node as consideration for finalizing the generating recommendations process. In the process of sending data, each node in the blockchain network goes through several functions, including hashing, block validation, chaining block, and broadcast. We conduct web-based experiments and analysis of the data-sharing system to illustrate the system works. The experimental results show that the system handles data circulation with an average time of mine is 84.5 ms in sending multi-criteria assessment data from the user and 119.1 ms in sending data of machine learning result from the server.

7 citations


Cites background from "Selection of Tourism Destinations P..."

  • ...These components include attractions, accessibility, amenities, available packages, activities, and ancillary services [34]....

    [...]


Journal ArticleDOI
22 Jun 2021-IEEE Access
Abstract: In the field of tourism, serious games are a pedagogical media application that helps players develop travel knowledge and expertise based on game content. A tourism serious game requires a scenario control system to visualize an attractive travel scenario. This paper proposes an Automatic Scenario Control in the serious game to visualize travel recommendation scenarios choice according to the player’s expectations of potential tourism destinations criteria. There are two stages in system development, namely scenario design and scenario selection. In the scenario design stage, we use the Hierarchical Finite State Machine to translate challenge-based stories according to the type of attraction. While at the scenario selection stage, Dynamic Weight Topsis is a method for selecting one of the player’s recommended scenarios. This study uses tourism destinations recommendations as to alternative variables, characteristics of tourism destinations as criteria, and players’ expectations of tourism destinations’ characteristics as weight criteria. In the implementation phase, the tourism serious game uses the content of tourism destinations in Mojokerto Indonesia. The test results show that Automatic Scenario Control generates a preference value for each alternative as a reference for choosing tourism destination scenarios for the player. Three things affect the scenario choice results, including the choice of month of tourist visits, player expectations of tourist destinations, and alternative input from the recommender system.

References
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Journal ArticleDOI
Dimitrios Buhalis1Institutions (1)
01 Feb 2000-Tourism Management
Abstract: Destination marketing is increasingly becoming extremely competitive worldwide. This paper explains the destination concept and attempts to synthesise several models for strategic marketing and management of destinations. It provides an overview of several techniques widely used and illustrates examples from around the world. The paper also explains that marketing of destinations should balance the strategic objectives of all stakeholders as well the sustainability of local resources. Destinations need to differentiate their products and develop partnerships between the public and private sector locally in order to co-ordinate delivery. Taking advantage of new technologies and the Internet also enables destinations to enhance their competitiveness by increasing their visibility, reducing costs and enhancing local co-operation. Destination marketing must lead to the optimisation of tourism impacts and the achievement of the strategic objectives for all stakeholders.

2,536 citations


"Selection of Tourism Destinations P..." refers background or methods in this paper

  • ...In this framework, attractions (A1) have four variables include natural landscape (A11), artificial tourism (A12), cultural tourism (A13) and special events (A14) [7][8][2]....

    [...]

  • ...Tourism destination is also an area chosen by visitors to carry out tourism activities, covering all available facilities, including entertainment facilities, accommodation, lodging, restaurants, and so on [7][2]....

    [...]

  • ...Among them are the Premier-Ranked Tourist Destination Framework (PRTDF) and 6As of Tourism Destinations (6AsTD) Framework [6][7]....

    [...]

  • ...This framework, first introduced by Dimitrios Buhalis, has six main components, shown in figure 1 [7][8][2]....

    [...]

  • ...These variables include lodging and hotels (A31), restaurants (A32), public facilities (A33) and shopping centers (A34) [7][8][14][16]....

    [...]


Book ChapterDOI
01 Jan 2013-
TL;DR: This paper aims to take advantage from the development of Smart Cities by conceptualising framework for Smart Tourism Destinations through exploring tourism applications in destination and addressing both opportunities and challenges it possessed.
Abstract: The rapid development of technologies introduces smartness to all organisations and communities. The Smart Tourism Destinations (STD) concept emerges from the development of Smart Cities. With technology being embedded on all organisations and entities, destinations will exploit synergies between ubiquitous sensing technology and their social components to support the enrichment of tourist experiences. By applying smartness concept to address travellers’ needs before, during and after their trip, destinations could increase their competitiveness level. This paper aims to take advantage from the development of Smart Cities by conceptualising framework for Smart Tourism Destinations through exploring tourism applications in destination and addressing both opportunities and challenges it possessed.

367 citations


"Selection of Tourism Destinations P..." refers background or methods in this paper

  • ...These facilities can be available both inside and surround it [2]....

    [...]

  • ...We can see the success of tourism destinations through the availability of existing support facilities and service [2]....

    [...]

  • ...In this framework, attractions (A1) have four variables include natural landscape (A11), artificial tourism (A12), cultural tourism (A13) and special events (A14) [7][8][2]....

    [...]

  • ...Tourism destination is also an area chosen by visitors to carry out tourism activities, covering all available facilities, including entertainment facilities, accommodation, lodging, restaurants, and so on [7][2]....

    [...]

  • ...This framework, first introduced by Dimitrios Buhalis, has six main components, shown in figure 1 [7][8][2]....

    [...]


Journal ArticleDOI
Abstract: Having recognized the importance of tourism to economic growth, most international organizations have begun to argue that tourism growth can influence, as well, the economic and sociocultural development of society. However, recently, a new approach that criticizes the relationship between both dimensions has begun to be developed; suggesting that this is not an automatic relationship.In this context, the aim of this study is to determine whether the economic growth experienced in some countries as a result of the expansion of the tourism activity over the last two decades influences an increase in the level of economic development. To that end, a sample of 144 countries has been used, which verifies that this relationship occurs, especially in more developed countries, which calls into question the conception of tourism as a driving force of economic development for the least developed countries, and even in developing countries.

146 citations


"Selection of Tourism Destinations P..." refers background in this paper

  • ...If tourism is well developed, then the economy will also run well [1]....

    [...]


Proceedings Article
Ewa Roszkowska1Institutions (1)
01 Jan 2011-
TL;DR: One of the multi-criteria models in making decision, a Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS), is described and simple numerical examples that reference real situations show practical applications of different aspects of this method.
Abstract: In this paper, one of the multi-criteria models in making decision, a Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS), is described. Some of the advantages of TOPSIS methods are: simplicity, rationality, comprehensibility, good computational efficiency and ability to measure the relative performance for each alternative in a simple mathematical form. The paper has a review character. It systematises the knowledge within the scope of techniques of decision taking with the use of the TOPSIS method. Simple numerical examples that reference real situations show practical applications of different aspects of this method. The paper is organized as follows. The Introduction presents a short overview of the decision making steps as well as MCDM techniques. Section 1 presents matrix representation of the MCDM problem. Section 2 describes the TOPSIS procedure for crisp data, and Section 3 for interval data. The TOPSIS algorithm in group decision environment in the case of crisp and interval data is also presented. In Section 4 the problem of qualitative data in TOPSIS model is discussed. The numerical examples showing applications of those techniques in the negotiation process are presented in Section 5. Finally, conclusions and some concluding remarks are made in last section.

118 citations


"Selection of Tourism Destinations P..." refers methods in this paper

  • ...The following is the TOPSIS procedure used in this study [19][20]:...

    [...]


Journal ArticleDOI
Madjid Tavana1, Adel Hatami-Marbini2Institutions (2)
TL;DR: This study presents a group multiattribute decision making (MADM) framework developed at the Johnson Space Center for the Integrated human exploration mission simulation facility (INTEGRITY) project to assess the priority of human spaceflight mission simulators.
Abstract: Human spaceflight mission planning is a complex task with many interacting systems and mission phases. Analog missions are Earth-based science missions whose purpose is to help understand the complexities inherent in future human spaceflight missions. The goal of performing an analog mission is to prepare crewmembers and support teams for future space missions in a low risk-low cost environment by repeatedly testing vehicles, habitats, and surface terrain simulators. This study presents a group multiattribute decision making (MADM) framework developed at the Johnson Space Center (JSC) for the Integrated human exploration mission simulation facility (INTEGRITY) project to assess the priority of human spaceflight mission simulators. The proposed framework integrates subjective judgments derived from the analytic hierarchy process (AHP) with the entropy information and the technique for order preference by similarity to the ideal solution (TOPSIS) into a series of preference models for the human exploration of Mars. Three different variations of TOPSIS including conventional, adjusted and modified TOPSIS methods are considered in the proposed framework.

115 citations


"Selection of Tourism Destinations P..." refers methods in this paper

  • ...TOPSIS is one of the techniques in multiple-criteria decision-making that can solve the problems with several attributes clearly and systematically [9][10]....

    [...]


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