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Social construction of port sustainability indicators: a case study of Keelung Port

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  • Tzay-An Shiau
  • Chia-Chin Chuang

Abstract

This study developed Port sustainability indicators (PSIs) using social construction of technology (SCOT). A case study of Keelung Port was conducted. An indicator generator was proposed to generate initial PSIs using a linkage-based framework, and the initial PSIs were grouped into environmental, economic, and social aspects. Subsequently, 34 expert-based PSIs were selected by using rough sets theory (RST). The decision group consisted of representatives from the Taiwan International Ports Corporation (TIPC), academic researchers, and industry representatives.Besides the decision group, the following groups were involved in the stakeholder analysis: the Department of Navigation and Aviation, Ministry of Transportation and Communications (DONA, MOTC), industry representatives, legislators, the Keelung City Government (KCG), local Keelung residents, and the general public. The SCOT approach offered a counterbalance to the expert-based approach in developing indicators. For the scientific frame and the operational frame, this study suggested 34 expert-based PSIs and 2 additional indicators chosen by legislators and local Keelung residents: annual traffic fatalities in the area surrounding the port and employment of Keelung residents by the TIPC. For the actors in the public-relations frame, 12 PSIs were suggested, and 10 PSIs were suggested for the actors in the nonprofessional frame.

Suggested Citation

  • Tzay-An Shiau & Chia-Chin Chuang, 2015. "Social construction of port sustainability indicators: a case study of Keelung Port," Maritime Policy & Management, Taylor & Francis Journals, vol. 42(1), pages 26-42, January.
    • Handle: RePEc:taf:marpmg:v:42:y:2015:i:1:p:26-42
    DOI: 10.1080/03088839.2013.863436
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    References listed on IDEAS

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    1. Mary R. Brooks & Athanasios A. Pallis, 2008. "Assessing port governance models: process and performance components," Maritime Policy & Management, Taylor & Francis Journals, vol. 35(4), pages 411-432, August.
    2. Tay, Francis E. H. & Shen, Lixiang, 2002. "Economic and financial prediction using rough sets model," European Journal of Operational Research, Elsevier, vol. 141(3), pages 641-659, September.
    3. Greco, Salvatore & Matarazzo, Benedetto & Slowinski, Roman, 2001. "Rough sets theory for multicriteria decision analysis," European Journal of Operational Research, Elsevier, vol. 129(1), pages 1-47, February.
    4. Mitchell, David H. & MacGregor Smith, J., 2001. "Topological network design of pedestrian networks," Transportation Research Part B: Methodological, Elsevier, vol. 35(2), pages 107-135, February.
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    Cited by:

    1. Yan Li & Xiaohan Zhang & Kaiyue Lin & Qingbo Huang, 2019. "The Analysis of a Simulation of a Port–City Green Cooperative Development, Based on System Dynamics: A Case Study of Shanghai Port, China," Sustainability, MDPI, vol. 11(21), pages 1-20, October.
    2. Omar Sharaf-addeen Alansary & Tareq Al-Ansari, 2023. "Developing a Strategic Sustainability Assessment Methodology for Free Zones Using the Analytical Hierarchy Process Approach," Sustainability, MDPI, vol. 15(13), pages 1-28, June.
    3. Maria D. Gracia & Rosa G. González-Ramírez & Luis M. Ascencio & Julio Mar-Ortiz, 2022. "Assessing the implementation of governance best practices by Latin American ports," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 24(4), pages 806-834, December.
    4. Sung-Ho Shin & Oh Kyoung Kwon & Xiao Ruan & Prem Chhetri & Paul Tae-Woo Lee & Shahrooz Shahparvari, 2018. "Analyzing Sustainability Literature in Maritime Studies with Text Mining," Sustainability, MDPI, vol. 10(10), pages 1-19, September.
    5. Di Vaio, Assunta & Varriale, Luisa & Alvino, Federico, 2018. "Key performance indicators for developing environmentally sustainable and energy efficient ports: Evidence from Italy," Energy Policy, Elsevier, vol. 122(C), pages 229-240.
    6. Tzay-An Shiau & Ji-Kai Chuen-Yu, 2016. "Developing an Indicator System for Measuring the Social Sustainability of Offshore Wind Power Farms," Sustainability, MDPI, vol. 8(5), pages 1-14, May.

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