The Adaptive Hybrid MCDA for Land Use Prioritization: Case Study  Dry Port Size Analysis

Patiphan  Kaewwichian; Wantana Prapaporn; Prin  Nachaisit; Suparerk  Charmongkolpradit; Haris  Prasanchum; Wuttikrai  Chaipanha; Warunvit  Auttha; Boonyaporn  Duangsa

Authors

Patiphan Kaewwichian Rajamangala University of Technology Isan Khon Kaen Campus, Thailand.
Wantana Prapaporn Rajamangala University of Technology Isan Khon Kaen Campus, Thailand.
Prin Nachaisit Rajamangala University of Technology Isan Khon Kaen Campus, Thailand.
Suparerk Charmongkolpradit Rajamangala University of Technology Isan Khon Kaen Campus, Thailand.
Haris Prasanchum Rajamangala University of Technology Isan Khon Kaen Campus, Thailand.
Wuttikrai Chaipanha Rajamangala University of Technology Isan Khon Kaen Campus, Thailand.
Warunvit Auttha Rajamangala University of Technology Isan Khon Kaen Campus, Thailand.
Boonyaporn Duangsa Rajamangala University of Technology Isan Khon Kaen Campus, Thailand.

Keywords:

dry port, multi criteria decision analysis, plot area, prioritization analysis

Abstract

The development of Dry Ports serves as a crucial strategy in modern logistics, enhancing supply chain efficiency and resilience. The boundary area of Dry Ports necessitates the integration of diverse analytical approaches to ensure their effective area development, within 3 Main criteria’s and 16 Minor’s factors. The comprehensive framework that amalgamates Multi-Criteria Decision Analysis (MCDA) including SAW, TOPSIS and VIKOR, size analysis, and land use planning represented the alternative of effective boundaries. The result revealed the size of the Dry Port context. Considering conventional and TOPSIS land acquisition prioritization presents the pricing effectiveness. Additionally, sensitivity analysis indicates that the distance between the dry port and the conventional railway network identified as the most influential factor significantly impacts effectiveness once it exceeds 35%.

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