Main Article Content
Abstract
This study analyzes the efficiency of 15 ports in Indonesia that connect the islands;
users' perceptions on the needs of sea transport facilities both in ships and
terminals; and a network of passenger facility needs based on preference. The
research uses the sequential mixed method. The results show that 4 of the 15 port
samples have not yet reached efficiency. The main reasons why users choose ships
are because ships have complete facilities and are therefore more convenient,
allow them to carry more goods, at affordable ticket prices, and users usually
travel in groups. Users are most concerned with and want complete facilities,
comfort, safety and order, viability and accessibility to reach the ports and board
the ships.
Keywords
Article Details
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References
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- American Association of Port Authorities. (2005). Maritime Transportation System Security Recommendations. Washington DC.
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- Pantouvakis, A., Chlomoudis, C., & Dimas, A. (2008). Testing the SERVQUAL scale in the passenger port industry: A confirmatory study. Maritime Policy and Management, 35(5), 449–467. https://doi.org/10.1080/03088830802352095
- Saaty, T. L. (2008). Decision making with the analytic hierarchy process. International Journal of Services Sciences, 1(1), 83. https://doi.org/10.1504/IJSSCI.2008.017590
- Vaggelas, G. K., & Pallis, A. A. (2010). Passenger ports: Services provision and their benefits. Maritime Policy and Management, 37(1), 73–89. https://doi.org/10.1080/03088830903461209
- Wildenboer, E. (2015). The Relation Between Port Performance and Economic Development (Literature Review and Case Study of the Hamburg-Le Havre Range). Erasmus University Rotterdam. Rotterdam.
- Yudhistira, M. H., & Sofiyandi, Y. (2017). Seaport status, port access, and regional economic development in Indonesia. Maritime Economics & Logistics, (4). https://doi.org/10.1057/s41278-017-0089-1
References
Abraham Charnes, William W. Cooper, Arie Y. Lewin, L. M. S. (1994). Data Envelopment Analysis: Theory, Methodology, and Applications. Data Envelopment Analysis: Theory, Methodology, and Applications. Texas: University of Texas. https://doi.org/10.1007/978-011-0637-5
American Association of Port Authorities. (2005). Maritime Transportation System Security Recommendations. Washington DC.
Kementerian Perhubungan RI. (2106). Statistik Perhubungan 2015.
Langen, P. W. De, Range, L. H., & Langen, P. W. De. (2012). Combining Models and Commodity Chain Research for Making Long-Term Projections of Port Throughput: an Application to the Hamburg- Le Havre Range. European Journal of Transport and Infrastructure Research, 3(12), 310–331.
Pantouvakis, A., Chlomoudis, C., & Dimas, A. (2008). Testing the SERVQUAL scale in the passenger port industry: A confirmatory study. Maritime Policy and Management, 35(5), 449–467. https://doi.org/10.1080/03088830802352095
Saaty, T. L. (2008). Decision making with the analytic hierarchy process. International Journal of Services Sciences, 1(1), 83. https://doi.org/10.1504/IJSSCI.2008.017590
Vaggelas, G. K., & Pallis, A. A. (2010). Passenger ports: Services provision and their benefits. Maritime Policy and Management, 37(1), 73–89. https://doi.org/10.1080/03088830903461209
Wildenboer, E. (2015). The Relation Between Port Performance and Economic Development (Literature Review and Case Study of the Hamburg-Le Havre Range). Erasmus University Rotterdam. Rotterdam.
Yudhistira, M. H., & Sofiyandi, Y. (2017). Seaport status, port access, and regional economic development in Indonesia. Maritime Economics & Logistics, (4). https://doi.org/10.1057/s41278-017-0089-1