PLANNING FOR FACILITY NEEDS IN TRAIN STATION BASED ON COMPARISON OF CONNECTING MODES USAGE

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International Journal of Civil Engineering and Technology (IJCIET)
Volume 10, Issue 05, May 2019, pp. 239-248, Article ID: IJCIET_10_05_025
Available online at http://www.iaeme.com/ijmet/issues.asp?JType=IJCIET&VType=10&IType=5
ISSN Print: 0976-6308 and ISSN Online: 0976-6316
© IAEME Publication
PLANNING FOR FACILITY NEEDS IN TRAIN
STATION BASED ON COMPARISON OF
CONNECTING MODES USAGE
Anita Susanti, Ria Asih Aryani Soemitro, Hitapriya Suprayitno
Department of Civil Engineering,
Institut Teknologi Sepuluh Nopember, Surabaya, East Java, Indonesia
ABSTRACT
The main objective of this research is to know the comparison of the use of mode as
a reference in developing the type of facility needed at the train station. Planning for
the preparation of these needs can be done by means of an interview survey for
passengers on the Surabaya-Lamongan (SULAM) commuter train in Lamongan-
Surabaya on weekdays. In some modes, like motorbikes and cars, they are still classified
again. For example, motorbike use is divided into several categories, namely: private
vehicles (delivered, carried alone), online services, and traditional gojek. In the use of
cars also divided into several categories, namely: Private Vehicles (delivered, carried
alone), online services, and conventional taxi. The categories in both types of modes
are gap analysis of this study. The benefit of being made a category for both types of
modes is to plan the type of facility needed for vehicles to stop both inside and outside
the train station. The type of facility type planning, is a renewal of this research, because
previous research was limited to the comparison of vehicles used. Another benefit of
this research is that it can produce new research to plan simulation of vehicle parking
capacity.
Keywords: Moda Type, SULAM Commuter Train, Type of Facility at The Train
Station, Interview Survey, Weekdays.
Cite this Article: Anita Susanti, Ria Asih Aryani Soemitro and Hitapriya Suprayitno,
Planning for Facility Needs In Train Station Based On Comparison of Connecting
Modes Usage, International Journal of Civil Engineering and Technology 10(5), 2019,
pp. 239-248.
http://www.iaeme.com/IJCIET/issues.asp?JType=IJCIET&VType=10&IType=5

Planning For Facility Needs In Train Station Based On Comparison of Connecting Modes Usage
1. INTRODUCTION
Economic growth that occurs in almost all regions of the world causes traffic congestion. The
problem of traffic congestion occurs because of the increase in the use of private vehicles which
is very different from the use of public transport [1,2,3]. One solution to overcome this traffic
congestion is to provide mass transport services such as Bus Rapid Transit (BRT) and Railways
[4,5], regulation of private vehicle use especially on weekdays [6], as well as the availability of
several facilities needed by prospective passengers to facilitate accessibility to public transit
stops, namely the Railway Station [7].
Planning to change travel behavior that used to use private vehicles to switch to mass transit
is not an easy thing to do. This of course requires quite a long time and the stages that attract
the attention of the community as a traveler. The results of previous studies that discussed the
choice of modes, always showed that private vehicles are always in the top rank as a mode used
for daily activities [8,9]. The benefits of research so far have only been limited to knowing the
factors that influence the satisfaction of the performance of the quality of public transport
services [10,11,12]. This is done as a basis for policy stakeholders in establishing measures of
standardization of performance of public transport [8,13,14].
Another benefit of the research often examined by previous researchers is the arrangement
of pedestrian layouts in Takatsuki Japan stations [15] and on Beijing China Station [16].
Another result of the study is to plan the arrangement of pedestrian pathways in railway stations
is a topic that is often discussed by previous researchers [17,18] The discussion regarding the
arrangement of paths for pedestrians within the train station is often examined by previous
researchers with the aim of avoiding crossing for passengers who will board using the train and
who get off the train.
Based on the explanation above, a conclusion can be drawn that research to plan the type
of facility for vehicles based on model comparison used is an issue that is quite interesting to
study. Data comparison of vehicle use is obtained from the movement of Surabaya-Lamongan
(SULAM) commuter train passengers. Data collection was carried out on weekdays with
interview surveys for passengers at SULAM Commuter Train. Data processing is done using
statistical tests. The use of modes such as motorbikes which are then classified as private
vehicles (delivered, carried alone), online services, and traditional gojek also apply to car use
and differ only in the conventional taxi category. The addition of these classifications to the use
of motorbikes and cars, is a gap analysis of this study.
2. RESEARCH CONCEPT FRAMEWORK
2.1. Research Concept
The movement of passengers from origin to origin station is done in different modes. The types
of modes that are often used by passengers heading to origin station are by walking, bicycles,
pedicab, motorbikes, cars, and public transportation. The different types of modes, of course,
require good and adequate facilities that must be available at the train station. The availability
of good facilities is expected to be one of the main attractions for passengers to prefer to use
the urban railway service, in this case the Commuter Train as a mode of daily transportation.
Therefore, research on passenger movement analysis as an effort to be able to plan facility
requirements at the railway station is important. This can be shown in Figure 1.

Anita Susanti, Ria Asih Aryani Soemitro and Hitapriya Suprayitno
Figure 1 Research concept
2.2. Data Collection Technique
Data collection is carried out on working days in the SULAM commuter train. The steps taken
are: 1). Preparation of the questionnaire contents draft, 2). Calculation of sample amount, 3).
Calculation of number of surveyors. The three stages above are the initial preparations that must
be made before the primary survey is conducted. The interview survey is the most important
part of the primary survey to obtain data. The data needed in this study are characteristics of
the traveler and travel behavior characteristics data. Both data include several important
variables and are explained in Figure 2.
Figure 2 Research variable
Location of
Origin
Station of
Origin
Walking
Bycicle
Travel Mode
Pedicab
Motorcycle
Car
Availability of facilities
at the train station
Public
Transport This research will be
conducted

2.3. Research Population and Samples
The study population was all the number of passengers who were in the SULAM commuter
train from the direction of Lamongan-Surabaya at 6:15 a.m. to 07:20. Preliminary survey results
It is known that the average number of SULAM commuter train passengers is 295 passengers
on every 1 time train departure. SULAM Commuter Train, is one type of commuter rail service
in the Surabaya area and its surroundings. During the primary survey around 280 passengers
were successfully interviewed by surveyors. This number of 280 passengers is used in data
processing. The core question needed for analysis of research data, as in the previous
explanation is the identity of passengers and travel data.
2.4. Gap Analysis
Research on the comparison of connecting modes has been done. In general, the discussion of
previous research related to model comparison used only addresses the number and percentage
of the modes most chosen by the community [5,8,14,19]. In this study, the types of modes used,
especially the use of motorbikes and cars, are still classified again. The use of motorbikes, is
still divided into several categories, namely: 1). Private vehicles (delivered and carried alone),
2). Online services, 3). Traditional gojek. The classification also applies to the use of cars. This
category or classification is the focus of the study and gap analysis of this research shown in
Figure 3.
Figure 3 Gap Analysis
2.3. Benefit of Research
The benefits of this study are very different from the benefits of previous research. The benefits
of previous research related to facility planning only discuss the use of connecting modes by
providing park and parking facilities near the Railway Station [7], prediction of transportation
needs in the future [20]. Another discussion is the availability of facilities within Tatsuki Japan
Station, as well as pedestrian facilities, escalators and elevators. This is done to set a deadly
arrangement (layout) based on the movement of passengers in each area of the Station [15].
Based on the benefits of the above research, planning for parking facility requirements for
vehicles that are reviewed from the mode used is important to plan.

2.4. Research Methods
In this study, passengers in the SULAM Commuter Train from the direction of Lamongan -
Surabaya were the study population. The research sample is the number of passengers
successfully interviewed by the surveyor. Calculation of sample data, then processed using
statistical test. The purpose of this statistical test is to find out whether there is a relationship
between the identity of the traveler and the travel data. This study also aims to determine the
relationship between the characteristics of travelers and the vehicles used.
3. RESULT AND DISCUSSION
Characteristics of SULAM commuter train passenger travel actors, as previously explained
include gender, age, education, occupation and motorcycle ownership. The gender
characteristics are dominated by female gender at 275 passengers (61.4%) at the cumulative
62.9% shown in Table 1. Age of passengers is dominated by ages 15-21 years (23.4%) at the
cumulative 42.1% shown in Table 2.
Table 1 Characteristics of passenger gender
Table 2 Characteristics of age of passengers
The education of SULAM commuter train passengers is dominated by senior high school
with 183 passengers (65.4%) with cumulative (78.6%) shown in Table 3. Passenger occupations
are dominated by 95 passengers (33.9%) and 72 private passengers (25.7%) shown in Table 4.
Motorbike ownership of passengers is dominated by bicycle ownership of 2 by 110 passengers
(39.3%), 3 motorbikes with 71 passengers (25.4%) and motorcycle ownership of 68 passengers
(24.3%) shown in Table 5.
No. Gender Frequency
Percent
(%)
Cumulative
Percent
(%)
1. Female 176 62.9 62.9
2. A Male 104 37.1 100.0
Total 280 100.0
No. Gender Frequency
Percent
(%)
Cumulative
Percent
(%)
1. 15-21 118 42.1 42.1
2. 22-28 37 13.2 55.4
3. 29-35 41 14.6 70.0
4. 36-42 28 10.0 80.0
5. 43-49 17 6.1 86.1
6. 50-56 20 7.1 93.2
7. 57-63 12 4.3 97.5
8. 64-70 6 2.1 99.5
9. 71-78 1 0.4 100.0
Total 280 100.0

Table 3 Characteristics of passenger education
Table 4 Characteristics of passenger occupation
Table 5 Characteristics of motorcycle ownership
Comparison of the use of connecting modes used to go to the origin station is shown in Table
6. In this study it was stated that the number of passengers who walked to the origin station was
2 people (0.7%), who used bycicle 1 person (0.4%), which using pedicab with 4 people (1.4%),
105 people (37.5%) using motorbikes (carried alone), 140 people (50.0%) using motorbikes
(delivered), 8 people (1.1%) using motorbikes (online gojek), 3 people (2.9%) using motorbikes
(traditional gojek), 2 people (1.1%) using cars (delivered), 3 people (2.1%) using cars (online
serive), and 8 people (7.7%) using public transport as shown in Table 6 and Figure 4.
No. Education Frequency
Percent
(%)
Cumulative
Percent
(%)
1. Elementary School (SD) 10 3.6 3.6
2. Junior High School (SMP) 27 9.6 13.2
3. Senior High School (SMU) 183 65.4 78.6
4. Diploma (D1/D2/D3/D4) 13 4.6 83.2
5. Bachelor (S1) 42 15.0 98.2
6. Post Graduate (S2) 5 1.8 100.0
Total 80 100.0
No. Occupation Frequency
Percent
(%)
Cumulative
Percent
(%)
1. Student 19 6.8 6.8
2. College Student 95 33.9 40.7
3. PNS 18 6.4 47.1
4. BUMN 5 1.8 48.9
5. TNI 1 0.4 49.4
6. POLRI 1 0.4 49.6
7. Private Employess 72 25.7 75.4
8. Entrepreneur 35 12.5 87.9
9. Others 34 12.1 100.0
Total 280 100.0
No.
Number of
motorcycle
ownership
Frequency
Percent
(%)
Cumulative
Percent
(%)
1. 0 5 1.8 1.8
2. 1 68 24.3 26.1
3. 2 110 39.3 65.4
4. 3 71 25.4 90.7
5. 4 15 5.4 96.1
6. 5 7 2.5 98.6
7. 6 3 1.1 99.6
7 1 0.4 100.0
Total 280 100.0

Table 6 Comparison of mode usage
No. Mode Category Total
Percent
(%)
1. Walking 2 0.7
2. Bycicle 1 0.4
3. Pedicab 4 1.4
4. Motorcycle
Private Vehicle: carried alone 105 37.5
Private Vehicle: delivered 140 50.0
Online service 8 1.1
Traditional gojek 3 2.9
5. Car
Private Vehicle: carried alone 0 0.7
Private Vehicle: delivered 2 1.1
Online service 3 2.1
Conventional taxi 0 0.4
6.
Public
Transport
12 4.3
Total 280 100%
Figure 4 Comparison of connecting modes
The results of previous studies state that motorbikes are the mode most chosen by the
community in their daily activities. From 2005 - 2008 in Hanoi Vietnam the use of motorbikes
was ranked first and was used to evaluate public transport performance [8,12]. This was also
done by other researchers related to the performance appraisal of the commuter rail service in
terms of traveling travelers, using bicycles, using cars, using buses and using metro [10]. Both
of these further reinforce that the results of comparison of the use of connecting modes are
important, but planning related to the type of vehicle parking facilities at the railway station has
never been done.
Chi-Square analysis shows that a relationship occurs if the significance value is <0.05 ( =
5%). Sex correlation value with mode is 0.000, correlation value between age and mode is
0.000, last educational correlation value is 0.000, correlation value between work and mode is
0.016 and correlation value between motorcycle ownership and mode is 0.000. The correlation
results are shown in Table 7 and Table 8.

Table 7 Correlations between characteristics of the traveller and connecting modes
No. Correlations
Paerson Chi-
Square
df
Asympt. Sig (2-
sided)
Description
1. Gender – Mode Used 56.273a
11 0.000 There is a correlation
2. Age – Mode Used 221.157 88 0.000 There is a correlation
3. Education – Mode Used 102.464a
4. Occupation – Mode Used 118.702a
5.
Number of Motorcycle
Ownership – Mode Used
268.041a
Table 8 Trend pattern description
No. Correlation Trend Pattern Description
1. Gender – Mode Used
• A Female: (Motorcycle “Delivered”)
• A Male: (Motorcycle “Carried Alone”)
2. Age – Mode Used
• Ages 15 – 21: (Motorcycle “Delivered”)
• Ages 29 – 49: (Motorcycle “Carried Alone”)
• Ages 50 – 70: (Motorcycle “Delivered”)
3. Education – Mode Used
• Elementary School – Junior High School: (Motorcycle
“Delivered”)
• Higher Education: (Motorcycle “Carried Alone”)
4. Occupation – Mode Used
• Student and College Student: (Motorcycle “Delivered”)
• PNS, TNI, POLRI, BUMN: (Motorcycle “Carried
Alone”)
5.
Number of Motorcycle
Ownership – Mode Used
• The Higher The Number of Vehicles Used - (Motorcycle
“Carried Alone”)
Correlation calculations between the identity of passengers and the mode used in this study
are important to do. In the previous explanation, it was stated that the benefit of this study was
being able to plan needs of types facilities at the train station are shown in Table 9.
Table 9 Type of facility at the train station
No. Mode Category Types Facilities
1. Walking Pedestrian and Trotoar
2. Bycicle Bicycle Parking Inside Train Station
3. Pedicab
Parking of Pedicab Outside the Train
Station
4. Motorcycle
Private Vehicle: Carried
Alone
Motorcycle Parking
Private Vehicle: Delivered
Drop zoneOnline Service
Traditional Gojek
5. Car
Private Vehicle: Carried
Alone
Car Parking
Private Vehicle: Delivered
Drop Zone
Online Service
Conventional Taxi Taxi Parking
6.
Public
Transport
Bus Stop

4. CONCLUSION
The results of the study indicate that the type of facility at the train station can be known from
the comparison data of the connecting mode used. The correlation value indicates that it is
below the value of 0,000, indicating that there is a relationship of each characteristics of the
traveler to the mode used. The relationship has a pattern of trends that passengers on the
SULAM commuter train with female gender, ages 15-21 years and 50 - 70 years, elementary
schools, junior high schools, senior high school tend to use motorbikes with "delivered". This
is inversely proportional to passengers of the male sex, age 22 - 49 years, higher education (post
graduate), civil servants, military, police, state-owned enterprises that tend to use motorbikes
by means of "carried alone". Type of facility at the train station that must be provided based on
the comparison of usage modes are as follows, namely: pedestrian and trotoar, bicycle parking,
parking of pedicab, motorcycle parking (private vehicle, carried alone, traditional and online
services), car parking (private vehicle, carried alone, conventional taxi and online services), bus
stop, drop zone. This reserach was able to produce new research related to the calculation of
vehicle parking capacity, bus stop, and the availability of pedestrian facilities.
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