Abstract
Abstract This article studied the location of dry ports from the perspective of reducing impacts caused by seaport activities on the urban environment. The main objective was to construct a model based on multiple-criteria decision analysis coupled with the geographical information system for selecting areas subject to the location of dry ports. An important point was the definition of restriction and factor criteria for the preparation of this model. The distance from the seaport was defined as the most relevant criterion, followed by the road hierarchy network, population density, vegetation, and declivity, respectively. The predominant restrictive criteria were: permanent conservation areas and non-building zones. For the validation of the model presented, it was necessary to perform a case study on a city located near a seaport, and that has been legalized seaport activities in its legislation. The result showed that the areas nearest to the port, with less density of household units, and located near main roadways are the most feasible for location of dry ports. It was proven that the usage of multi-criteria analysis for selecting areas subject to the location of dry ports can be a manner for added support in the preparation of master plans for cities surrounded by seaport areas.
Highlights
Urban planning aims at structuring the future of the city so that no problems are generated for the population as years goes by
This paper studied the location of dry ports from perspective of reducing impacts caused by seaport activities on the urban environment
This study focused multiple-criteria decision analysis (MCDA) approach as the number of potential locations for dry port planning is finite due to the high requirements linked to a dry port site in terms of land use availability and suitability
Summary
Urban planning aims at structuring the future of the city so that no problems are generated for the population as years goes by. Coastal areas are significantly influenced by fundamental changes in the distribution of the human population due to the construction of essential infrastructure systems for sustainable residential, commercial and tourism activities (Bulleri & Chapman, 2010) Under these circumstances, a dry port emerges as a modern logistics center located in an inland region (Chang et al, 2015). The AHP method uses linear algebra to formulate hierarchical structures, matrices and decision steps (Saaty, 1980) In this context, the main objective this study was to construct a model based on multiple-criteria decision analysis coupled Geographical Information System (GIS) for selecting areas subject to the location of dry ports. The Itapoá Seaport presents in terms of the predicted demand for transport and logistics services, the increases the cargo volume by intermodal transportation
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