Prioritisation of dry port locations using MCDM methods: a case of cochin port
By: Vidya G. Mohan
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Contributor(s): Naseer, M. A.
Publisher: USA Springer 2022Edition: Vol.103(3), Sep.Description: 841-856p.Subject(s): Humanities and Applied SciencesOnline resources: Click here
In:
Journal of the institution of engineers (India): Series ASummary: The opening of the global market and increasing containerization trend have caused congestion at the seaports, resulting in dry ports being introduced into the transport system. Commodities originating from production centers pass through various nodes like warehouses and dry ports before reaching the seaport. The location of the dry ports needs to be strategically placed to ease the congestion and reduce the total transport cost. The task of locating a dry port must be a structured procedure involving relevant location criteria and their prioritization. This paper presents a method of using a Delphi survey for criteria selection and analytical hierarchy process for prioritization. For demostrating the method, the hinterland (0–200 km) of Cochin port was slected as the study area. To identify the dry port alternatives, activities around the port are taken. All the spatial data required for the study, like seaports, dry ports, production centers, industrial activity locations, transportation networks etc., are brought to geographical information system (GIS) interface for the analysis. Based on the industrial activity in the study area, a new dry port location is obtained through GIS hotspot analysis. All the identified alternatives are evaluated by collecting the data for all the twenty-four sub-criteria selected, and the priority rank of the alternatives chosen is obtained. The results show that the alternative obtained through hotspot analysis is less preferred.
| Item type | Current location | Call number | Status | Date due | Barcode | Item holds |
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Articles Abstract Database
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School of Engineering & Technology Archieval Section | Not for loan | 2022-2342 |
The opening of the global market and increasing containerization trend have caused congestion at the seaports, resulting in dry ports being introduced into the transport system. Commodities originating from production centers pass through various nodes like warehouses and dry ports before reaching the seaport. The location of the dry ports needs to be strategically placed to ease the congestion and reduce the total transport cost. The task of locating a dry port must be a structured procedure involving relevant location criteria and their prioritization. This paper presents a method of using a Delphi survey for criteria selection and analytical hierarchy process for prioritization. For demostrating the method, the hinterland (0–200 km) of Cochin port was slected as the study area. To identify the dry port alternatives, activities around the port are taken. All the spatial data required for the study, like seaports, dry ports, production centers, industrial activity locations, transportation networks etc., are brought to geographical information system (GIS) interface for the analysis. Based on the industrial activity in the study area, a new dry port location is obtained through GIS hotspot analysis. All the identified alternatives are evaluated by collecting the data for all the twenty-four sub-criteria selected, and the priority rank of the alternatives chosen is obtained. The results show that the alternative obtained through hotspot analysis is less preferred.
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