Ferry Operators’ Perception on Influencing Factors of Ferry services
in Lagos, Nigeria
BABATOPE SUNDAY OLISA1, MOBOLAJI STEPHEN STEPHENS2,
CHIAMAKA LOVELYN OLISA3,
1,2 Department of Logistics and Transport Technology, Federal University of Technology, Akure, NIGERIA
3 Centre for Continuing Education, Federal University of Technology, Akure, NIGERIA
Abstract:- Ferry operations and services are comprised of constituent factors that might be either simple or
complex, depending on how they are regarded. Population density, frequency of service, fare, weather,
operating cost and time, safety and cleanliness, and so on all play a role. This study aims to assess the factors
which influence ferry operations and services in Lagos State with specific objectives to assess the socio-
economic characteristics of the ferry operators; determine the level of supply of ferry by the operators; and
identify the influencing factors of ferry ridership from Operators’ perspective. Primary and secondary data
were source. However, a survey design method was deployed and used for the study. Trip survey was done
daily; involved morning and evening traffic between 6:30 a.m. and 6:00 p.m. For boat/ferry operators, the
sample size was 111. The data was analyzed using inferential and descriptive statistics; processed data from
questionnaire results was evaluated hypothetically using the Pearson Chi-Square rule. The levels or
ratings of supply factors were determined using a Likert rating scale. it was revealed that Ferry ridership is
heavily influenced by operating time. Hypothesis tested revealed that ridership Fare does not have associative
influence of the number of trips by the operators. The study concluded that supply determinants of ferry
ridership and services contribute immensely to the level of ferry patronage and provisions. There is need to
monitor irregularities that may crawl-into management and sustainability of water transport development in
Lagos State and Nigeria as a whole.
Key-words: ferry, service, inland, waterway, determinant, factors, operators, ridership
Received: June 27, 2023. Revised: May 6, 2024. Accepted: June 11, 2024. Published: July 24, 2024.
1 Introduction
An important factor in the socioeconomic growth of
countries and regions is the transportation industry.
Because of its affordability, efficacy, social
acceptability, safety, and environmental friendliness,
the transportation sector is strongly associated with
and significantly impacts other economic sectors. [1].
Any responsible government must anchor its growth
and development efforts on the transformational
wheel of transportation if it is to manage government,
commercial, and non-governmental institutions
effectively [2]. The revitalization of inland water
transportation services, which for a very long time
seemed to have been grounded in Lagos State despite
the fact that more than 60% of Lagos is covered by
water, is one of the most prominent solutions to the
transportation problem in Lagos state [3]. Nigeria's
largest and most complicated urban area is the Lagos
metropolitan area. Lagos, one of the largest cities in
the world with over 18 million residents, is growing
at a rate of about 6% annually. More than 45% of the
nation's skilled labourers are employed there, and it
boasts the largest manufacturing sector [4]. The city
has a high proportion of traffic congestion as a result
of insufficient transportation infrastructure expansion
throughout the years to accommodate the city's rising
population. Traveling within Lagos takes twice as
long, and sometimes three times as long, which has a
negative impact on quality of life and economic
growth. Diversifying Lagos' transportation
options is essential for resolving this issue, as is
encouraging passengers to use alternative modes
of transit.
Transportation services are ineffective without
passenger patronage; thus, passengers' interests
must be earned as active partners in the
transportation sector [5]. The act or occurrence of
making a decision, according to the English
definition. In this context, determining factors are
factors that influence making the correct decision.
Every potential passenger is critical in making this
selection since something has to trigger the
consumer's choice before demands are made.
Similarly, for transportation operators, ridership
in terms of service supply can be determined by
several elements surrounding transportation
operations. Transport or transportation is the
movement of people, animals and goods from one
location to another. Air, rail, road, sea, cable,
pipeline, and space travel are all modes of
transportation. Transport is vital because it allows
people to trade with one another, which is
necessary for civilizations to grow [6]. Rodrigue
believes that transportation is necessary for
growth and globalization, but that most modes
International Journal of Environmental Engineering and Development
DOI: 10.37394/232033.2024.2.18
Babatope Sunday Olisa,
Mobolaji Stephen Stephens,
Chiamaka Lovelyn Olisa
E-ISSN: 2945-1159
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Volume 2, 2024
pollute the air and occupy up a lot of space. While
government subsidies are substantial, good
transportation planning is critical to maintaining
traffic flow and limiting urban development" [7].
Ndikom also expounded that ferry service plays a
vital role in economic development, especially for
remote riverine areas and continued that it has a
propensity to relieve the pressure on a country road
and rail transport infrastructure [8]
One of the studies that is connected to this one is
Taylor and Fink, who said that the body of research
explaining transit ridership is shockingly inconsistent,
sometimes ill-conceived, and sometimes yields
confusing or contradicting results [9]. Their goal is to
review the literature on transit ridership, critique,
sometimes significant flaws in previous studies, draw
conclusions from more rigorous studies on the factors
that most influence transit use, and make
recommendations on how to better understand and
explain transit ridership. [10] Chorley believed that
"water is viewed as a highly variable and mobile
resource in the broadest sense." Water is by far the
most important, familiar, and magnificent of all
the substances required for life as we know it on
Earth. "Water transport is the most cost-effective
mode of transportation for bulk goods." It allows
governments to lower transportation costs for bulk
imports and exports. It could play a vital role in
unlocking the economic potential, and increasing
competitiveness and integration of countries that
share waterways such as the Nile” [1].
2 Study Area
This study geographical area is situated inside the
Lagos metropolitan area; as figure 1 and 2
illustrate, canal routes that cross the marinas in
Apapa and Ikorodu are all part of the Lagos state
metropolitan area. The analysis took into account
the ferry operators along these routes.
Figure 1: Administrative Map of Lagos State showing Metropolitan Area of Lagos;
Source: [11]
Figure 2: Map showing the area of coverage for the study
(Lagos Metropolitan Area) Source: [12]
International Journal of Environmental Engineering and Development
DOI: 10.37394/232033.2024.2.18
Babatope Sunday Olisa,
Mobolaji Stephen Stephens,
Chiamaka Lovelyn Olisa
E-ISSN: 2945-1159
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Lagos has long been known as one of Nigeria's most
industrialized areas, with a concentration of major
and medium-sized enterprises. Lagos' transportation
services have expanded and improved in order to
meet the city's growing population and expectations.
There are suburban railways and ferry services. [13].
Lagos State Ferry Services Corporation operates and
operates on some regular routes, such as those
between Lagos Island and the mainland.
3 Method
The study's objectives were addressed through the
use of survey design. In order to get information
from respondents, a questionnaire was used in this
process. Interviews with Ferry employees were
conducted using a questionnaire and focus groups.
The whole fleet of ferries using these waterways
Marina-Apapa and Marina-Ikorodu—was included
in the study. The questionnaire was designed to
cover a number of topics, including the
socioeconomic characteristics of the ferry staff, the
cooperating operators' ferry supply, the amount of
ferry patronage along the marina to apapa, the
number of trips from the marina to Ikorodu, and an
analysis of the factors that influence ferry service.
Direct observation was used to conduct a daily trip
survey between the hours of 6 a.m. and 6 p.m.
Additionally, passenger manifests were gathered for
in-depth examination. A Likert rating scale was
employed to ascertain the characteristics that
influence ferry service, while considering the
opinions of the ferry operators as viewed.
Regression analysis was used to determine the
degree to which ferry services influence one another
and services from the operators' point of view.
Table 1: Passengers Manifest for the study
Route
Number of
Commuters
Average
commuters
per day
Marina to Apapa
1290-1400
1345
Ikorodu to five cowries
ferry terminal
1380–1275
1215
Marina to Ikorodu
1725-15890
1601
4,161
Sources: National Inland Waterways Authority, 2022
4 Results and Discussion
4.1 Socio-economic characteristics of ferry
users in the study area
The percentage of genders utilizing Lagos State's
water transportation services is closely compared in
Table 2. All passengers on each boat that was
sampled along the way were given a questionnaire,
which was used to collect this data. On the other
hand, 46.3% of passengers were women and 53.7%
of passengers were men. The results show that 183
(53.7%) of the boat's passengers are either married
or living together. 19 respondents (5.6%) are
widows, compared to 34.6% of single respondents.
Divorces accounted for 21 (6.2%) of the population,
according to the statistics. This data indicates that
the Lagos Metropolitan area's water transport
services are used by married persons, especially
men. Differences in the age groupings of boat
operators were discovered by the study. The age
range of 30.8% of responders is 18 to 30. Of the
boat passengers questioned, 48.4% are between the
ages of 31 and 40. 51–60 years old makes up 15.5%
and 41–50 years old, respectively. When running a
transportation service, age distribution is an
important consideration. People between the ages
of 31 and 50 actively use water transportation
services, according to the research. The study found
that of the sample boat population of passengers,
39.6% were traders, 17.6% were artisans, 21.7 were
public servants, 1.5% were farmers, and 12 (3.5%)
were passenger responses. Among the other
occupational categories indicated in the
questionnaire responses are bankers, sailors,
students, and corporate personnel; together they
represent 60 of their population and 17.6% of all
boat passengers questioned. These statistics suggest
that the majority of passengers (users) that use the
water transport services in the research region are
traders and civil servants. Additionally, 60
respondents (17.6%) who are boat passengers in the
sample are company workers and students. Many of
the travelers have attained higher education and are
literate. People thus make decisions and choices
with a greater level of judgmental thinking.
Economics and the capacity for making decisions
are influenced by the quantity of information
available regarding acceptable service quality and
the possibility of satisfaction with a specific good
or service. There are 148 (43.4%) travelers with
postsecondary education in the sampled population.
At 131 (38.4%), passengers with a secondary
education rank second. While 8.8% of the
population did not have any formal education, 32
(9.4%) of the sampled passengers held a primary
school diploma.
International Journal of Environmental Engineering and Development
DOI: 10.37394/232033.2024.2.18
Babatope Sunday Olisa,
Mobolaji Stephen Stephens,
Chiamaka Lovelyn Olisa
E-ISSN: 2945-1159
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Volume 2, 2024
Table 2: Socio-economic characteristics of ferry
users in the study area
Socio-economic characteristics
Freq
%
Gender
Male
183
53.7
Female
158
46.3
Marital Status of Respondents
Married/Cohabiting
183
53.7
Divorced
21
6.2
Widow
19
5.6
Single
118
34.6
Age of Respondents
18-30 years
105
30.8
31-40years
165
48.4
41-50years
20
5.9
51-60years
51
15
Occupation of Respondents
Trader
135
39.6
Artisan
60
17.6
Civil Servant
74
21.7
Farmer
12
3.5
Others specify
60
17.6
Level of Education
Primary School
32
9.4
Secondary School
131
38.4
Tertiary
148
43.4
No formal Education
30
8.8
Total
341
100
Source: Author, 2022
According to Table 3, the total number of
operational boats supplied by five (5) corporate
Operators along the marina to Apapa was thirty-six
(36). A break then revealed that thirteen of the
passenger boats have a capacity of 15 people,
eighteen have a capacity of 16-30 passengers, five
have a capacity of 31-50 passengers, and five have
a capacity of more than 50 passengers. The
combined passenger carrying capacity of
cooperating operators is 1035 seats (see equation
1). Hence, the total seat capacity supplied by the
operators (individual and corporate organization)
are a total of 1,575 seat per day.
From equation 4.1, the capacity supplied by
corporate organizations are accounted below;
 󰇟󰇛 󰇜󰇛 󰇜󰇛 󰇜
󰇛 󰇜 󰇛󰇜
 
Table 3: Cooperate Operators ferry supplied in Marina to Apapa route
S/n
Names of
Cooperate
Operators
Passenger Boat
Fleets
size
Used
along
the
route
Less
than 15
pax
seats
16-30
pax
seats
31-50
pax
seats
>
50
pax
seats
Total seat
supplied
1
Sea coach
15
10
4
60
5
150
1
50
0
260
2
Lag ferry
16
8
2
30
6
180
0
0
0
0
210
3
Texas
connection
9
5
2
30
2
60
1
50
0
140
4
Waxi
3
3
3
45
1
30
0
0
75
5
Metro ferry
13
10
2
30
4
120
3
150
1
50
350
Total
56
36
13
195
18
540
5
250
1
50
1035
Source: Author, 2022
International Journal of Environmental Engineering and Development
DOI: 10.37394/232033.2024.2.18
Babatope Sunday Olisa,
Mobolaji Stephen Stephens,
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Volume 2, 2024
4.2 The level of ferry patronage along Marina
to Ikorodu
Table 4.2 depicts the boat voyage from Ikorodu
along the marina, which is identical to the Ikorodu
to Five Cowries ferry terminal, with 37% making
two trips daily, 40% operating 2-4 round trips daily,
and 23% operating more than 4 round trips daily.
Examine the load factor along the route and keep in
mind that, from the marina to Ikorodu, a total of
1035 passenger seats were supplied and used (see
table 4) and 1601 seats were used (see table 1).
To calculate the load factor along the route,
  
  
  
  
Therefore,  
 
 = 0.9
The load factor is the same in the previous route
considered that is the boat supplied is under-utilized
with less than 1 as the load factor which means that
supplied is more than demand.
Table 4: Boat Trips in marina to Ikorodu
Daily number of
round trips
Frequency
Percentage
Nautical
miles (nm)
Distance
(km)
Round trip
(km)
Total distance per
day (km)
Once per day
0
0
0
0
0
0
Twice per day
20
37%
1.08
2
4
32
2-4 times per day
22
40%
1.08
2
4
40
More than 4 times
13
23%
1.08
2
4
8
Total
55
100%
80
Source: Author, 2022
4.3 Analysis of Influencing Factors of Ferry
services
As indicated in table 5, study revealed that there are
certain supply factors that influence the service of
ferry transport providers in the study area. The fact
remains that with and or without these factors, there
is likelihood that supply of ferry transport services
will face difficulties and severe challenges that can
jeopardize the ultimate goal of the operation.
Operating/ travel Time as a determinant factor has a
strong influence on ferry ridership having scored the
highest percentage score of 394 (88.739%) out of
aggregate score of 444. Information revealed that
ravel time for these operators are usually morning
and evening during which travellers/passengers go
to work and come from work. This period is seen as
peak period when maximum number of trips is
made, maximum turnaround time is achieved, huge
number of passengers is carried and achievable
profits are made. It is an important time for operators
to render services to prospective customers.
Operating time can be influenced by weather
condition. Unfavourable weather condition has a
strong relationship on operators’ ferry services
irrespective of passenger traffic, schedule time, and
status of vessel engine and technologies. Weather
was rated second in the rating score with 389 and
percentage score of 87.613%. Operators disclosed
that weather reports area often disseminated
whenever there is harsh weather. During this time,
ferries are not allowed to go on transit whenever this
information is announced to all operators in the
Lagos Metropolitan area. Hence, following the
instruction given by weather monitoring
department, ferry services are halted from
movement until the weather condition is stable.
Passenger traffics scored 388 and percentage score
of 87.612 in the likert table. The higher the number
of passengers demand the higher the number of trips
made. Interviews revealed that the rate at which
passengers turn out for the demand for ferry services
is one of the major factors that influence their
frequency of travel and daily operations by ferry
operators. Without passenger patronage, services
cannot be rendered at any point. Meanwhile,
operating/travel time is another factor that
determines ferry services and operations.
Number of Daily Trips scored 375(84.460%) out of
the total aggregate as shown in table 5. With a
percentage score of 84.460%, it was rated 4th among
the determinant factors of ferry ridership in the study
area. Rate of turn over or number of turnaround time
are factors which encourage ferry service provider
to continue their operation and this would also
facilitate producers’ interest to improve the services
offered when more profits are achieved in the
business. Hence, when the number of daily trips is
low, there is tendency for the transport business to
wobble and downfall.
International Journal of Environmental Engineering and Development
DOI: 10.37394/232033.2024.2.18
Babatope Sunday Olisa,
Mobolaji Stephen Stephens,
Chiamaka Lovelyn Olisa
E-ISSN: 2945-1159
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Altitude of Passengers toward ferry accident is rated
fifth in Likert rating with a percentage score of
81.757%. Ferry operators interviewed confirmed
that passengers’ confidence level needed to be
boosted in order to have more patronage of water
transport services. Most passengers patronising
ferry services do not have strong confidence in ferry
services due to economic situation of the country
coupled with corruption that has crippled the
management and safety in transport service and
operations.
Other Supply factors as determinant of Ferry
ridership are rated from most important to least
important as: (1) Operating/ travel Time; (2)
Weather; (3) Passenger traffics; (4) Road designs
(narrow/shallow waterway); (5) Schedule Time (6)
Operating/ travel Time; (7) Condition of Navigation
route (8) Operating Cost (Escalating Fuel Cost); (9)
Government's stringent policies(10) safety and
security (11) Corruption of safety/jetty personnel
(12) Low technology level (13) Health Status
(Fatigue, drowsiness/dizziness) (14) Altitude of
Passengers toward ferry accident. All these factors
contribute to transit ridership in terms of supply of
services by ferry transport service providers
(Operators) in one way and the other.
Table 5: Analysis of Influencing Factors of Ferry services
Determinant
of Ferry
Ridership
Factor
Strongly Agree
Score
(Sc) = 4
Agree
Score
(Sc) = 3
Undecided
Score
(Sc) = 2
Disagree
Score
(Sc) = 1
Strongly
Disagree
Score (Sc) = 0
Aggregate
Score
=444
Ranking
(f)
Scores
F*Sc
(f)
Scores
F*Sc
(f)
Scores
F*Sc
(f)
Scores
F*Sc
(f)
Scores
F*Sc
Total
Score
%
Score
Determinant
of Supply
Condition of Navigation
route
52
376
37
111
15
30
7
7
0
0
356
80.180
7
Weather
64
256
39
117
8
16
0
0
0
0
389
87.613
2
Road designs
(narrow/shallow waterway)
65
260
18
54
21
42
5
5
2
0
357
80.405
6
Operating/ travel Time
81
324
10
30
20
40
0
0
0
0
394
88.739
1
Low technology level
24
96
34
102
31
62
11
11
11
0
271
61.036
12
Number of Daily Trips
73
292
7
21
31
62
0
0
0
0
375
84.460
4
Altitude of Passengers
toward ferry accident
56
38
114
10
20
5
5
2
0
363
81.757
5
Safety and security
44
176
27
81
27
54
11
11
2
0
322
72.523
10
Corruption of safety/jetty
personnel
45
180
19
57
14
28
16
16
17
0
281
63.288
11
Operating Cost (Escalating
Fuel Cost)
38
152
40
120
26
52
5
5
2
0
329
74.099
8
Government's stringent
policies
47
188
37
111
11
22
5
5
11
0
326
73.423
9
Schedule Time
39
156
25
75
23
46
13
13
11
0
290
46.628
14
Health Status (Fatigue,
drowsiness/ dizziness)
36
144
10
30
15
30
27
27
23
0
231
52.027
13
Passenger traffics
87
348
8
24
7
14
3
3
6
0
389
87.612
3
Source: Author’s survey, 2022
Figure 3: Modern Jetty at Ferry Terminal in the study area
Source: Author, 2021
International Journal of Environmental Engineering and Development
DOI: 10.37394/232033.2024.2.18
Babatope Sunday Olisa,
Mobolaji Stephen Stephens,
Chiamaka Lovelyn Olisa
E-ISSN: 2945-1159
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4.3.1 Regression analysis for Influencing
Factors of Ferry services
Table 6 indicates the regression analysis of
influencing factors of ferry services from operators’
perspective. Following the result of the analysis, the
result shows that operating time is the most
influencing factor of ferry services in the study area,
having a p-value of 7.44E-05. The next most
influencing factors were space and comfort (0.0001),
and safety and security (0.010). The result shows that
income does not have influence on influencing ferry
services in the routes under study. The R-square
analysis revealed that 77.7% of the 341 observations
fit well into the model that the regression produced,
given a standard error margin of 5.967 for the seven
independent variables and other variables not
included. As a result, the regression's results were
satisfactory. Because the p-value for the ANOVA
was significantly below the chosen 95% significant
level, the analysis of variance revealed that the
variables were highly connected.
Table 6: Regression Analysis for Influencing factors of ferry services from operators’ perspective
Source: Author, 2022
4.3.2 Hypothesis Testing
Table 7 shows chi square significant result on
Operators’ Ridership Fare and Daily Trip of Operators
in the study area. The null hypothesis (HO) stated that
there is no significant relationship between Ridership
Fare and Operators’ Daily Trip. The result of
hypothesis tested that the value of the chi square
statistic is 25.556. The p-value in the same row in the
“Asymptotic Significance (2-sided)” column is .061.
According to Pearson Chi-Square rule, the result is
significant if this value is equal to or less than the
designated alpha level (normally .05).
In this case, the p-value is smaller than the standard
alpha value; the null hypothesis is also accepted.
The null hypothesis that asserts the two variables
are independent of each other is accepted. The result
is not significant. The data suggests that the
variables Operators’ Ridership Fare (charges) and
Operators’ Daily Trips are not associated with each
other. Ridership Fare does not have associative
influence of the number of trips the ferry service
providers (operators) make on a daily basis. Hence,
Fares charged on passengers do not determine
schedule time, operating time, and travel time of
operators.
0.777
Adjusted R²
0.743
n
111
R
0.867
k
6
Std. Error
5.967
Dep. Var.
Supply
ANOVA table
Source
SS
df
MS
F
p-value
Regression
41,386.0562
7
5,566.2462
157.86
2.11E-101
Residual
11,788.9423
104
37.7825
Total
53,174.9985
111
Regression output
confidence interval
Variables
coefficients
std.
error
t (df=104)
p-value
95% lower
95%
upper
Intercept
13.1011
1.5979
6.253
5.01E-10
7.8998
13.3402
Operating time
0.7561
0.1821
5.121
7.44E-05
0.5810
1.1778
Weather
0.6284
0.1502
3.176
.0001
0.3350
0.8945
Passenger traffic
0.3723
0.1671
2.276
.0010
0.2101
0.8366
Operating cost
(Escalating Fuel Cost)
0.4216
0.1718
2.607
.0162
0.0710
0.7875
Safety and security
0.4456
0.1777
2.491
.0181
0.0588
0.7931
Low level of tech.
0.3390
0.1732
1.394
.2444
-0.0083
0.5666
International Journal of Environmental Engineering and Development
DOI: 10.37394/232033.2024.2.18
Babatope Sunday Olisa,
Mobolaji Stephen Stephens,
Chiamaka Lovelyn Olisa
E-ISSN: 2945-1159
209
Volume 2, 2024
Table 7: Chi-Square Tests on Ridership Fare and Operators’
Daily Trip
Value
df
Asymp. Sig.
(2-sided)
Pearson Chi-
Square
25.556a
1
.061
Likelihood Ratio
30.006
1
.018
Linear-by-Linear
Association
1.943
1
.163
N of Valid Cases
111
a. 18 cells (72.0%) have expected count less than
5. The minimum expected count is .04.
Source: Author, 2022
5 Conclusion and Recommendation
Taking user views into consideration, the study focuses
on the determinant factors that affect ferry usage in the
Lagos Metropolitan area. The study examined supply
variables that affect the ridership operations of ferry
service providers as well as demand variables that
predict ferry ridership. The study found that a number
of supply variables, including as passenger volume,
operation and travel hours, weather, safety and security,
and health status (fatigue, drowsiness/dizziness), affect
the quality of service provided by ferry transport
providers in the study area. careless driving on the part
of operators, etc. Operating time, which received the
highest percentage score of 394 (88.739%) out of a
possible 444 points, has a significant impact on ferry
ridership. With a score of 389 (87.613%) out of a
possible 444, weather was ranked second. Passenger
traffic comes next, having received a 3 on the Likert
scale. Additionally, the null hypothesis was approved.
Acceptance of the null hypothesis results in the two
variables being said to be independent of one another.
According to the study, there is no correlation between
the variables Operators' Daily Trips and Operators'
Ridership Fare (charges). Ridership fare has no
associated effect on the number of trips made by ferry
service providers (operators) each day. As a result, the
fares charged to passengers have no bearing on the
schedule time, or operating time of the operators.
According to the survey, ferry operators indicated that
one of the most important factors influencing boat
ridership is weather. The study advises that ashore
weather departments be well-equipped with more
sophisticated weather technology in order to send
proper and accurate weather reports on time. This
would increase the degree of confidence among
prospective travelers in the study area. Supply of
contemporary watercrafts (ferries) will entice more
passengers to use ferry services, boasting economic
interest of ferry operators (suppliers of ferry
services. Furtherance to this, more water transport
terminal/Interchange infrastructure (figure 3)
should be provided for communities heavily
dependent on water transport. As public discovers
more benefits of ferry services, there is very high
tendency that population of prospective passengers
demanding for ferry service will increase.
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International Journal of Environmental Engineering and Development
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Babatope Sunday Olisa,
Mobolaji Stephen Stephens,
Chiamaka Lovelyn Olisa
E-ISSN: 2945-1159
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Ibadan: University of Ibadan Press, Ibadan,
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Contribution of Individual Authors to the Creation
of a Scientific Article (Ghostwriting Policy)
Babatope Sunday Olisa carried out field studies and
collaborated with Mobolaji Stephen Stephens, develop
the procedures used in carrying out the field study.
Mobolaji Stephen, Stephens is the major supervisor of
the study. He monitored and carried field records,
statistics and computations Chiamaka Lovelyn Olisa
assisted in typing and formatting the text. Also, she
digitized administrative map of the study area using
ArcGIS and Computer aided techniques.
In summary, everyone contributed in the present
research, at all stages from the formulation of the
problem to the final findings and solution.
Sources of Funding for Research Presented in a
Scientific Article or Scientific Article Itself
No funding was received for conducting this study.
Conflict of Interest
The authors have no conflicts of interest to declare
that are relevant to the content of this article.
Creative Commons Attribution License 4.0
(Attribution 4.0 International, CC BY 4.0)
This article is published under the terms of the
Creative Commons Attribution License 4.0
https://creativecommons.org/licenses/by/4.0/deed.en
_US
International Journal of Environmental Engineering and Development
DOI: 10.37394/232033.2024.2.18
Babatope Sunday Olisa,
Mobolaji Stephen Stephens,
Chiamaka Lovelyn Olisa
E-ISSN: 2945-1159
211
Volume 2, 2024