Implementation of Dry Port: Feasibility Study in Jeneponto Regency

Amrin Amrin(1*), M. Azhar Shauqy(2), Sri Nur Aulia(3),

(1) Politeknik Maritim AMI Makassar
(2) Politeknik Maritim AMI Makassar
(3) Politeknik Maritim AMI Makassar
(*) Corresponding Author



This research was conducted to analyze the feasibility of Jeneponto Regency as a location for a Dry Port in South Sulawesi and the impact it has on the selection of the Dry Port location. This research used a qualitative descriptive method and SWOT analysis aimed at analyzing data such as geographic data, supporting infrastructure, economic and social aspects, regional characteristics, and local government policies regarding regional development. In addition, field surveys and interviews were conducted with relevant parties, including government agencies, private institutions, academics or practitioners, and other stakeholders. The results of this research indicate that Jeneponto Regency has the potential to be a strategic location for a Dry Port, with a recorded area of 749.79 km2. The planning for the development of the Jeneponto Regency Dry Port is located in the Bontorappo Village area, Tarowang District, with an available land area of 1.85 hectares. This region has good accessibility through the main road network and is close to the Port of Makassar, one of the busiest ports in South Sulawesi. Furthermore, the potential for economic and industrial growth in this regency also provides promising opportunities for Dry Port development. The related impacts on the selection of the Dry Port location are assessed in terms of economic impact, impact on the smooth flow of cargo handling, and impact on regional development. The SWOT analysis results indicate that the positioning falls within quadrant I, which means that the development strategy of the Dry Port in Jeneponto Regency, South Sulawesi Province, supports an aggressive growth-oriented strategy. This situation is highly advantageous for the policies to be implemented, where the strength of the strategic location for Dry Port development positively impacts the efficiency and speed of goods delivery, and the opportunities for Dry Port development will create new job opportunities and have significant economic benefits for the local area. Therefore, based on the positioning in quadrant I, the Dry Port project in Jeneponto Regency has a high potential for rapid growth.


Port; transportation infrastructure; development impact

Full Text:



Awad-Núñez, S., Soler-Flores, F., González-Cancelas, N., & Camarero-Orive, A. (2016). How should the Sustainability of the Location of Dry Ports be Measured? Transportation Research Procedia, 14, 936–944.

Black, J., & Roso, V. (2022). Container Ports Post-Privatisation – Analysis of the roles of the public and private sectors at Port Botany, Sydney. Case Studies on Transport Policy, 10(2), 1438–1452.

Bouzekri, H., Alpan, G., & Giard, V. (2023). Integrated laycan and berth allocation problem with ship stability and conveyor routing constraints in bulk ports. Computers & Industrial Engineering, 181, 109341.

Campisi, T., Marinello, S., Costantini, G., Laghi, L., Mascia, S., Matteucci, F., & Serrau, D. (2022). Locally integrated partnership as a tool to implement a Smart Port Management Strategy: The case of the port of Ravenna (Italy). Ocean & Coastal Management, 224, 106179.

Castrellon, J. P., Sanchez-Diaz, I., Roso, V., Altuntas-Vural, C., Rogerson, S., Santén, V., & Kalahasthi, L. K. (2023). Assessing the eco-efficiency benefits of empty container repositioning strategies via dry ports. Transportation Research Part D: Transport and Environment, 120, 103778.

Chang, Z., Yang, D., Wan, Y., & Han, T. (2019). Analysis on the features of Chinese dry ports: Ownership, customs service, rail service and regional competition. Transport Policy, 82, 107–116.

Chen, D., Bai, X., Wang, Z., & Yang, D. (2023). A port statistics-based generic ballast water estimation and risk assessment approach and its application to Chinese ports. Marine Pollution Bulletin, 192, 115068.

Covas Moschovas, M., Bhat, S., Rogers, T., Onol, F., Roof, S., Mazzone, E., Mottrie, A., & Patel, V. (2020). Technical Modifications Necessary to Implement the da Vinci Single-port Robotic System. European Urology, 78(3), 415–423.

de Almeida Rodrigues, T., Maria de Miranda Mota, C., & Manuele dos Santos, I. (2021). Determining dry port criteria that support decision making. Research in Transportation Economics, 88, 100994.

Díaz, H., & Guedes Soares, C. (2023). Decision-making model for the selection of floating wind logistic support ports. Ocean Engineering, 281, 114768.

Facchini, F., Digiesi, S., & Mossa, G. (2020). Optimal dry port configuration for container terminals: A non-linear model for sustainable decision making. International Journal of Production Economics, 219, 164–178.

Gonzalez-Aregall, M., & Bergqvist, R. (2019). The role of dry ports in solving seaport disruptions: A Swedish case study. Journal of Transport Geography, 80, 102499.

Gu, Y., Chen, Y., Wang, X., & Chen, Z. (2023). Impact of COVID-19 epidemic on port operations: Evidence from Asian ports. Case Studies on Transport Policy, 12, 101014.

Gujar, G. C., Ng, A. K. Y., & Notteboom, T. (2019). The impacts of major government initiatives on the development of dry ports: A case study of the direct port delivery scheme in India. Journal of Transport Geography, 80, 102498.

Guo, J., Wang, Z., & Yu, X. (2022). Accessibility measurement of China’s coastal ports from a land-sea coordination perspective - An empirical study. Journal of Transport Geography, 105, 103479.

Guo, T., Liu, P., Wang, C., Xie, J., Du, J., & Lim, M. K. (2023). Toward sustainable port-hinterland transportation: A holistic approach to design modal shift policy mixes. Transportation Research Part A: Policy and Practice, 174, 103746.

Jeevan, J., Notteboom, T., Rozar, N., Mohd Salleh, N. H., Menhat, M. N. S., Ngah, A. H., Md Hanafiah, R., & Mohd Zaideen, I. M. (2022). Integration of rail freight with dry ports: A route for seaport regionalisation. Research in Transportation Business & Management, 45, 100910.

Kurtuluş, E. (2023). Optimizing Inland Container Logistics and Dry Port Location-Allocation from an Environmental Perspective. Research in Transportation Business & Management, 48, 100839.

Langenus, M., Dooms, M., Haezendonck, E., Notteboom, T., & Verbeke, A. (2022). Modal shift ambitions of large North European ports: A contract-theory perspective on the role of port managing bodies. Maritime Transport Research, 3, 100049.

Manupipatpong, S., Gupta, A., Tunacao, J. M., Danda, V. R., Lobner, K., Wu, A. W., Kemble, S., & Weiss, C. R. (2023). Postprocedural Patient Instructions for Central Venous Ports and Biliary Tubes: Assessment of Clinical Benefit and Impact on Quality of Life. Journal of Radiology Nursing.

Pasetto, M., & Giacomello, G. (2023). Technical-economic assessments on the feasibility of new infrastructures serving seaport and dry port of Venice. Transportation Research Procedia, 69, 839–846.

Pham, H. T., & Lee, H. (2019). Developing a Green Route Model for Dry Port Selection in Vietnam. The Asian Journal of Shipping and Logistics, 35(2), 96–107.

Pourmohammad-Zia, N., Schulte, F., González-Ramírez, R. G., Voß, S., & Negenborn, R. R. (2023). A robust optimization approach for platooning of automated ground vehicles in port hinterland corridors. Computers & Industrial Engineering, 177, 109046.

Qiu, X., & Lee, C.-Y. (2019). Quantity discount pricing for rail transport in a dry port system. Transportation Research Part E: Logistics and Transportation Review, 122, 563–580.

Raad, N. G., Rajendran, S., & Salimi, S. (2022). A novel three-stage fuzzy GIS-MCDA approach to the dry port site selection problem: A case study of Shahid Rajaei Port in Iran. Computers & Industrial Engineering, 168, 108112.

Roso, V. (2007). Evaluation of the dry port concept from an environmental perspective: A note. Transportation Research Part D: Transport and Environment, 12(7), 523–527.

Russo, F., & Musolino, G. (2023). Port-city interactions: models and case studies. Transportation Research Procedia, 69, 695–702.

Sarmadi, K., Amiri-Aref, M., Dong, J.-X., & Hicks, C. (2020). Integrated strategic and operational planning of dry port container networks in a stochastic environment. Transportation Research Part B: Methodological, 139, 132–164.

Sciomachen, A., & Stecca, G. (2023). Forwarding containers to dry ports in congested logistic networks. Transportation Research Interdisciplinary Perspectives, 20, 100846.

Shu, S.-N., Jiang, R.-T., Yin, J., Wang, Q., Su, L., Craig, N. J., & Li, J.-Y. (2023). Characteristics, sources and health risks of organotin compounds in marine organisms from the seas adjacent to the eastern ports of China. Regional Studies in Marine Science, 61, 102929.

Souza, M. F. de, Tisler, T. R., Castro, G. S. A., & Oliveira, A. L. R. de. (2023). Port regionalization for agricultural commodities: Mapping exporting port hinterlands. Journal of Transport Geography, 106, 103506.

Sugimura, Y., Akakura, Y., Yotsushima, T., & Kawasaki, T. (2023). Evaluation of Japanese port policies through network analysis. Transport Policy, 135, 59–70.

Tsao, Y.-C., & Thanh, V.-V. (2019). A multi-objective mixed robust possibilistic flexible programming approach for sustainable seaport-dry port network design under an uncertain environment. Transportation Research Part E: Logistics and Transportation Review, 124, 13–39.

Van Nguyen, T., Zhang, J., Zhou, L., Meng, M., & He, Y. (2020). A data-driven optimization of large-scale dry port location using the hybrid approach of data mining and complex network theory. Transportation Research Part E: Logistics and Transportation Review, 134, 101816.

Wang, L., & Peng, H. (2023). Collaboration or competition? A science map for promoting the sustainable transition of port relationships. Marine Policy, 155, 105795.

Wilmsmeier, G., & Monios, J. (2021). Dry Ports (R. B. T.-I. E. of T. Vickerman (ed.); pp. 344–348). Elsevier.

Zain, R. M., Salleh, N. H. M., Zaideen, I. M. M., Menhat, M. N. S., & Jeevan, J. (2022). Dry ports: Redefining the concept of seaport-city integrations. Transportation Engineering, 8, 100112.

Zhou, C., Huang, H., Liu, Z., Ding, Y., Xiao, J., & Shu, Y. (2023). Identification and analysis of ship carbon emission hotspots based on data field theory: A case study in Wuhan Port. Ocean & Coastal Management, 235, 106479.

Article Metrics

Abstract view : 252 times | PDF view : 76 times


  • There are currently no refbacks.

Copyright (c) 2023 Amrin Amrin, M. Azhar Shauqy, Sri Nur Aulia

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

Diterbitkan oleh:

Program Studi Ilmu Administrasi Publik

Program Pascasarjana Universitas Negeri Makassar


JIAP Index By:


View My Stats

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.