International Journal of Research and Innovation in Applied Science (IJRIAS)

Submission Deadline-26th December 2024
Last Issue of 2024 : Publication Fee: 30$ USD Submit Now
Submission Deadline-05th January 2025
Special Issue on Economics, Management, Sociology, Communication, Psychology: Publication Fee: 30$ USD Submit Now
Submission Deadline-21st January 2025
Special Issue on Education, Public Health: Publication Fee: 30$ USD Submit Now

Exploration of the Factors Militating Against the Massive Adoption of the Inland Water Transport Mode in Niger Delta, Nigeria.

Exploration of the Factors Militating Against the Massive Adoption of the Inland Water Transport Mode in Niger Delta, Nigeria.

1*Azonwu, M. C., 2Ibe, C. C., 3Ebiringa, O.T. and 4Ejem E. A.

1,2Federal University of Technology, Owerri, Imo State, Nigeria; Department of Logistics and Transport Technology.

3,4Federal University of Technology, Owerri, Imo State, Nigeria; Department of Supply Chain Management,

*Corresponding Author

DOI: https://doi.org/10.51584/IJRIAS.2024.907030

Received: 07 May 2024; Revised: 24 May 2024; Accepted: 29 May 2024; Published: 09 August 2024

ABSTRACT

This study investigated the reason why road transport mode is preferred over the inland water mode in the Niger Delta region. The study was delimited to only few selected coastal capital cities in the Niger Delta. The research method adopted in the study was a survey. Simple severity index was also used to ascertain the safety level of both ferries and automobiles which could influence commuters’ mode choice behaviours. The data required for this study were obtained from both primary (obtained through the administration of questionnaire to household heads) and secondary data extracted from FRSC, records. Four states in the Niger Delta (Akwa-Ibom, Bayelsa, Delta and Rivers) with very similar transportation system were selected for the survey. A total number of 5,000 pieces of questionnaire were distributed proportionately. Households were randomly selected from streets and offices in the urban centers and the jetties\ water fronts (Khaima, Odi, Nembe, Marine Base Abonima wharf) to capture ferry users. From the results, it was gathered that the accident level in both water and road are similar. The introduction of free bus system affects users’ choice of transport mode, hence militating against the adoption of inland water transport mode in the region. The introduction of Rapid Mass Transit affects users’ choice of transport mode, thereby militating against the adoption of inland water transport mode in the region. The introduction of Monorail System affects users’ choice of transport mode, thus, negatively impacting the adoption of inland water transport mode in the Niger Delta region. To make the inland water borne transport mode attractive to the people of Niger Delta region, there should be a government intervention in the introduction Luxurious Water Taxi, which the study respondents agreed to that it will positively affects their choice of this transport mode.

Keywords: Inland water mode, Niger Delta, Transport mode choice.

INTRODUCTION

The externalities of transport are more severe if every individual prefers taking one mode of transport, because the cause of transportation problem will increase. The need to change individual choices from one mode to other types is urgently needed, particularly in Nigeria. One of the efforts to support the change is by improving the public transport quality, and to help improve this effort the factors affecting individual to choose mode of transport should be identified. Understanding mode choice is important since it affects how efficiently we can travel; how much urban space is devoted to transportation functions as well as the range of alternatives available to the traveler (de Dios Ortúzar & Willumsen, 2024). Furthermore, this factor is the basic knowledge which helps determine any effort to change travel behavior for people.

A critical look at the transport system of any nation reveals the level of development (industrialized, developed, or underdeveloped) of the nation. Hence, Oni and Okalawon (2006) concludes that transportation is the corner stone on which civilization is built. The choice of transport mode therefore implies that there are alternatives to choose from (rail, road, air, inland water/sea) for passenger and freight transportation. In most states in Niger Delta road -bus and inland water- fairies\speed boats have the potentials to compete favourably, unfortunately the road transport mode is the most prominent been widely used for both passenger and freight carriage (Trivedi et al., 2021; Breuer et al., 2022). Vanderwaeden and Timmermans (2002) asserts that the need to compete for customers’ loyalty and to create and manage customer relationship is core competence of any professional service company including transportation companies. One aspect of this task is to prevent passengers/customers from switching to another service provider or mode. To manage customer /passenger relation well, the reasons that lead to the failing of loyalty or even to switching behavior must be recognized (Harris et al., 2015; Fan et al., 2021).

O’Fallon, Sullivan & Harsher (2004) assert that there is an increasing interest in alleviating congestion on the road transport network to improve economic productivity, reduce pollution and to use transport network more efficiently. This could only be achieved in the Niger Delta area, if the inland water transport is encouraged and improved upon. The numerous advantages of the inland water transport should be exploited in the coastal parts of Nigeria. The inland water transport is ideal when it comes to the conveyance of large awkward abnormal or indivisible as well as dangerous cargo too large to be transport by rail or road transport modes or usually carried by special road vehicles (Xu et al., 2021).

1 horsepower can propel 4 tones on water but only one tone on rail. Furthermore, inland water transport penetrates coastal countryside (such as are found in Niger Delta) to ease the evacuation of Agricultural goods, alternates the burden of other mode, and interfaces the sea navigation at harbor (Boulange et al., 2017). It is interesting to note that the use of inland water transportation is declining in most part of the world, for instance, Maitri and Sarka (2010) explained that inland water transport in India forms a very small part of the total transport network of the country despite been energy efficient, economic, and environmentally friendly. The primary reason for low share of inland water traffic is its spatial limitation, confined to a special region and is effective only when both origin and destinations of production and consumption centres are located at the water fronts. This expressly captures the situation in the coastal parts of Nigeria. The congestion experienced in the cities and suburbs can be eased through the diversion of some traffic to the inland water transport mode.

In Nigeria there exists numerous modes as, Road (bus, taxi, private cars motorcycle, bicycle, walking) rail, Air (various Airplanes) and Water- (ferries, speed boats, barges, and ships), but the road transport is the most predominant (popular) been used extensively.  22 out the 36 states in Nigeria make use of the water as a means of transport thereby positioning it as a potential alternative to road transport in all forms of travel.

The imbalance in the modal share in the Nigerian transport system has resulted in much externality such as road traffic congestions and increasing pollution level caused by increase in private\public vehicle ownership without corresponding increase in the road capacity and other relevant information. Irrespective of these problems associated with the road transport mode, it has continued to enjoy a very high level of patronage against the inland water transport, even when the later offers a faster, cheaper, and more efficient alternative. For instance, currently it costs N500 by boat to get to Buguma via Abonema wharf and takes about 50 minutes while it cost at least N700 by bus and takes about 1hour 20mins with 3 stops by bus yet commuters prefer the road mode. This could be because of safety issues, people’s attitude, lack of modern vessels, inaccessibility/ poor conditions of jetties or the development of roads and bridges. These are the questions /problems that this research is undertaking to address. The choice of a transport mode is probably one of the most important classic models in transport planning. This is because of the key role played by public transport in policy making.

The Niger Delta region of Nigeria, endowed with a vast network of rivers, creeks, and estuaries, presents a significant yet underutilized opportunity for inland water transport (IWT). Despite the potential for reducing road congestion, lowering transportation costs, and fostering economic development, the adoption of IWT in the Niger Delta remains limited. The Niger Delta’s extensive waterways span approximately 3,000 kilometers, providing a natural and cost-effective transportation network. Efficient utilization of these waterways could significantly enhance the movement of goods and people, particularly in a region where road infrastructure is often inadequate. Inland water transport is recognized for its environmental advantages, including lower greenhouse gas emissions compared to road and air transport. Promoting IWT could contribute to Nigeria’s environmental sustainability goals and reduce the negative impacts of road transport, such as pollution and road accidents. Despite the evident benefits, inland water transport accounts for only a small fraction of the transportation modal share in the Niger Delta. According to the Nigerian Maritime Administration and Safety Agency (NIMASA), IWT represents less than 2% of the total transport activities in the region. This low adoption rate is concerning given the strategic importance of the Niger Delta to Nigeria’s economy, particularly in the oil and gas sector. Thus, this study aims to identify and analyze the specific factors hindering the widespread adoption of inland water transport in the Niger Delta. By understanding these barriers, policymakers, stakeholders, and investors can develop targeted strategies to enhance the efficiency and safety of IWT, thereby unlocking its full potential for regional development.

Thus, the specific objectives of this study include to determine the level of safety in both ferry and bus services and determine the effect of government policy intervention on passenger choice of transport mode. And the below null hypotheses were formulated to guide the study:

  1. H01: Bus system of transport is not safer than ferry system.
  2. H02: Government policy on transportation has no significant effect son individual’s choice of travel mode.

The study will contribute to the existing works on choice of transport mode. It will bring to the fore the unending advantage of the inland water transport particularly in the Niger Delta region and hence the need to improve the mode in coastal regions all over West Africa. This study will benefit the Federal Government in terms of resources allocation and to intervene in areas where there exists inefficiency/neglect, to adjust where possible.

METHODOLOGY

The research method used in this study entailed a survey using questionnaire. Simple severity index was also used to ascertain the safety level of both ferries and automobiles which could influence commuters’ mode choice behaviours. Four states in the Niger Delta (Akwa-Ibom, Bayelsa, Delta and Rivers) with very similar transportation system were selected for the survey. A total number of 5,000 copies of the questionnaire were distributed as shown in Table 1.

Table 1. Sampling scheme.

S/N State Population No. of questionnaire Distributed
1 Akwa-Ibom 3,172,000 1,350
2 Bayelsa 1,900,000    800
3 Delta 3,594,000 1,500
4 Rivers 3,172,000 1,350
Total 5,000

Households were randomly selected from streets and offices in the urban centers and the jetties\ water fronts (Khaima, Odi, Nembe, Marine Base Abonima wharf) to capture ferry users. The questionnaire was structured in such a way that it consisted of the reaction of commuters to government policy intervention such as the introduction of Rapid bus transit monorail or subsidy. The data generated from the questionnaire were all represented in different kinds of charts, tables, represented in percentages and graphs using the statistical package for social science (SPSS) software.

The questionnaire required the respondents to select options as satisfied (S), very satisfied (VS) dissatisfied (DS) very dissatisfied (VDS), Agreed (A), strongly agreed (SA), disagree (D) strongly disagree (SD). In the ranking VS will be higher than S and DS more than VDS (Likert scale).

Table 2 Sample five point of Likert scale

Strongly Disagree Disagree Neutral Agree Strongly Agree
Code SD D N A SA
Scale 1 2 3 4 5

Analysis of variance (ANOVA Test) was used to ascertain the effect of presumed government policy in the selection of mode of travel by respondents and test of the corresponding hypothesis.

RESULTS AND DISCUSSIONS

Age Bracket of Respondents

Table 3. Age of household Representative

Age Bracket Frequency Percentage
Below 21             30         0.6
21-30        2,100         42
31-40        2,075        41.5
41-50           560        11.2
51-60           120           2.4
Above 60             60           1.2
NR             55           1.1
Total       5,000         100

From Table 3 and Figure 1, over 80% of the household representatives fell between 21 and 40 years (working class) age bracket also known as productive age bracket.

Figure 1. Graph of age Bracket of household representative.

Figure 1. Graph of age Bracket of household representative.

Sex of respondents (Gender)

Table 4. Gender of Respondents

Gender Frequency Percentage Degree
Male 3,975 79.5 286.2
Female 1,025 20.5   73.8
Total 5,000 100.0 360.0

 Table 4 and Figure 2 reveals that 79% of respondents were male while only less than 21% were females.

Figure 2 Gender of Respondents.

Figure 2 Gender of Respondents.

Marital status

Table 5. Marital Status of the Respondents

M.Status Frequency Percentage Degree
Single 2,130 42.6 153.4
Married 2,850  57.0 205.2
Nr      20   0.4      1.4
Total 5,000 100.0  360.0

From Table 5 and Figure 3, 57% of the respondents were married 42.6% are single while o.4% were indifferent to the question for personal reasons.

Figure 3. Marital status of Respondents

Figure 3. Marital status of Respondents

Employment Status

Table 6. Employment Status of Respondents

Status Frequency Percentage
Public servants 1,625 32.5
Civil Servants 1,950 38.8
Self-Employed 1,055 21.1
Unemployed    180   3.6
Retired    200    4
Total 5,000 100

From Table 6 and Figure 4, over 70% of the Respondents were employed either by the public sector (38.8%) or the private sector (32.5%), 7.6 were either retired or unemployed while 21% were self-employed.

Figure 4. Employment Status of Respondents.

Figure 4. Employment Status of Respondents.

Number of household members

Table 7. Number of household members (family size)

Number of Persons Frequency Percentage
1    385 7.7
2    515 10.3
3 1,085 21.7
 4    970 19.4
5    980 19.6
6    590 11.8
7    255 5.1
8    105 2.1
9      10 0.2
10 & above      25 0.5
Nr      80 1.6
Total 5,000 100.0

From Table 7 and Figure 5, over 21% of the households had 3 members and over 19% had 4 and 5 members respectively while only 7% had just one member and 0.7   had at least 9 members in their household.

Figure 5 Family size (number of household members).

Figure 5 Family size (number of household members).

Number of children below 18 years

Table 8. Number of children below the age of 18 in households

Children Frequency Percentage
1    588   11.8
2 1,010   20.2
3 2,005   40
4 1,030   20.6
5    358     7.2
Nr     12     0.2
Total 5000 100.0

Table 8 and Figure 6 indicate that 40% of the sampled households had 3 children below the age of 18, over 20% had 2 and 4 children respectively, over 11% had one child while only 7.2% had 5 children less than 18 years.

Figure 6. Number of children below the age of 18 in households

Figure 6. Number of children below the age of 18 in households

Test of Hypotheses

Examining the level of safety in Ferry and Bus services

Accident Severity Index (ASI)

The Accident Severity Index measure the seriousness of an accident. It is defined as the number of person death per 100 accidents. The table below presents Accident Severity Index for the Niger delta region from 2005-2016.

Table 9. Accident severity index ASI

Year Number of persons death Total number of accidents ASI (%)
2005 4519 9062 49.87
2006 4944 9114 54.25
2007 4673 8477 55.13
2008 6661 11341 58.73
2009 5693 10854 52.45
2010 6052 11385 53.16
2011 6054 13196 45.88
2012 6092 13262 45.94
2013 6544 13583 48.18
2014 5996 10380 57.76
2015 5440 9734 55.89
2016 5053 9694 52.13

Source; Federal Road Safety Corpse Annual Reports 2012-17.

Compared to road accidents, there seems to be equivalent number of accidents for both ferry and bus. This could be militating the adoption of water borne transport in the Niger Delta region.

Evaluation of the effect of government policy intervention on transport user’s choice of transport mode

The government policies included:

  1. Introduction of Free Bus System.
  2. Introduction of Rapid Mass Transit.
  3. Introduction of Monorail system.
  4. Introduction of Luxurious Water Taxi.

Introduction of Free Bus System.

Table 10: ANOVA test result for introduction of free bus

FREE_BUS
Sum of Squares Df Mean Square F Sig.
Between Groups 418000.000 4 104500.000 3.335 .030
Within Groups 626694.000 20 31334.700
Total 1044694.000 24

Table 10 shows the ANOVA test of the hypothesis that the introduction of free bus system affects users’ choice of transport mode. Since the probability value 0.03 < 0.05(level of significance), we reject the null hypothesis that the introduction of free bus system does not affect users’ choice of transport mode.

Introduction of Rapid Mass Transit.

Table 11. ANOVA test result for the introduction of monorail
RAPID MASS TRANSIT
Sum of Squares Df Mean Square F Sig.
Between Groups 418000.000 4 104500.000 3.715 .020
Within Groups 562606.000 20 28130.300
Total 980606.000 24

Table 11 shows the ANOVA test of the hypothesis that the Introduction of Rapid Mass Transit effects users’ choice of transport mode. Since the probability value 0.02 < 0.05 (level of significance), we reject the null hypothesis that the introduction of Rapid Mass Transit does not affect users’ choice of transport mode.

Introduction of Monorail system.

Table 12 ANOVA test Result for introduction of Monorail
MONORIAL
Sum of Squares Df Mean Square F Sig.
Between Groups 418000.000 4 104500.000 9.809 .000
Within Groups 213060.000 20 10653.000
Total 631060.000 24

Table 12 shows the ANOVA test of the hypothesis that the Introduction of Monorail System effects users’ choice of transport mode. Since the probability value 0.00 < 0.05(level of significance), we reject the null hypothesis that the introduction of Monorail System does not affect users’ choice of transport mode.

Introduction of Luxurious Water Taxi.

Table 13. ANOVA test result for introduction of water taxi.
Between Groups
Sum of Squares Df Mean Square F Sig.
421600.000 4 105400.000 4.504 .009
Within Groups 468020.000 20 23401.000
Total 889620.000 24

Table 13 shows the ANOVA test of the hypothesis that the Introduction of Luxurious Water Taxi effects users’ choice of transport mode. Since the probability value 0.00 < 0.05(level of significance), we reject the null hypothesis that the introduction Luxurious Water Taxi does not affect users’ choice of transport mode.

CONCLUSION

Given the pressing need to diversify transportation modes and promote sustainable development in the Niger Delta, investigating the impediments to IWT adoption is both timely and crucial. This study will provide valuable insights into the challenges faced and offer actionable recommendations to foster a more robust and reliable inland water transport system in the region. The exploration of factors militating against the massive adoption of inland water transport (IWT) in the Niger Delta, Nigeria, has revealed a complex interplay of infrastructural, safety, regulatory, and socioeconomic challenges. Despite the region’s extensive network of navigable waterways and the potential benefits of IWT, its adoption remains critically low.

Based on the findings, it was gathered that:

A larger proportion of the respondents disagreed that the introduction of world class monorail could induce a change in transport mode from ferry to Monorail, this largely because they have no alternatives to the ferries as a means of transport to the islands.

The introduction of free bus system affects users’ choice of transport mode, hence militating against the adoption of inland water transport mode in the region.

The introduction of Rapid Mass Transit affects users’ choice of transport mode, thereby militating against the adoption of inland water transport mode in the region.

The introduction of Monorail System affects users’ choice of transport mode, thus, negatively impacting the adoption of inland water transport mode in the Niger Delta region.

To make the inland water borne transport mode attractive to the people of Niger Delta region, there should be a government intervention in the introduction Luxurious Water Taxi, which the study respondents agreed to that it will positively affects their choice of this transport mode. Addressing these issues requires a multifaceted approach. Investment in infrastructure is paramount to improve the navigability and safety of waterways. Enhancing security measures and enforcing strict regulatory standards can mitigate safety concerns and build public trust.

REFERENCES

  1. Boulange, C., Gunn, L., Giles-Corti, B., Mavoa, S., Pettit, C., & Badland, H. (2017). Examining associations between urban design attributes and transport mode choice for walking, cycling, public transport and private motor vehicle trips. Journal of transport & health, 6, 155-166.
  2. Breuer, J. L., Scholten, J., Koj, J. C., Schorn, F., Fiebrandt, M., Samsun, R. C., & Peters, R. (2022). An overview of promising alternative fuels for road, rail, air, and inland waterway transport in Germany. Energies, 15(4), 1443.
  3. de Dios Ortúzar, J., & Willumsen, L. G. (2024). Modelling transport. John wiley & sons.
  4. Fan, A., Wang, J., He, Y., Perčić, M., Vladimir, N., & Yang, L. (2021). Decarbonising inland ship power system: Alternative solution and assessment method. Energy, 226, 120266.
  5. Harris, I., Wang, Y., & Wang, H. (2015). ICT in multimodal transport and technological trends: Unleashing potential for the future. International Journal of Production Economics, 159, 88-103.
  6. Maitri, V. & Sarkar, P. K. (2010) Theory and Applications of Economics in Transport Planning; Standard Publishers 175-B, Nai Saraka Post Box No.1066, Delhi-110006.
  7. O’Fallon, C., Sullivan, C. & Harsher, D. (2004) Constraints Affecting Mode Choices of Car Commuters; Transport Policy 11. 17-29.
  8. Oni, S., & Okalawon, K. (2006). Nigeria’s transport Infrastructural Development: an integral Part of the National Economic Empowerment and Development Strategy (NEEDS) Lagos: Department of Geography. University of Lagos Nigeria [Online]: Available: http://www. Sed. siiviscelta. Com/bari2005/191pdf-similar.
  9. Trivedi, A., Jakhar, S. K., & Sinha, D. (2021). Analyzing barriers to inland waterways as a sustainable transportation mode in India: A dematel-ISM based approach. Journal of Cleaner Production, 295, 126301.
  10. Vanderwaeden, B. & Timmermans, H. (2002) Key Events and Critical, Incidents Influencing Transport Mode Choice Switching Behaviour; an Explanatory Study. Endohoven University of Technology Urban Planning Group.
  11. Xu, L., Di, Z., & Chen, J. (2021). Evolutionary game of inland shipping pollution control under government co-supervision. Marine Pollution Bulletin, 171, 112730.

Article Statistics

Track views and downloads to measure the impact and reach of your article.

1

PDF Downloads

69 views

Metrics

PlumX

Altmetrics

Paper Submission Deadline

GET OUR MONTHLY NEWSLETTER