Cost-suitability land modeling for current and proposed transport infrastructure along Timiș-Cerna Corridor (Romania)

Beniamin Stoica-Fuchs, Bogdan-Andrei Michai, I. Săvulescu
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Abstract

Cost-suitability land modeling is one of the mandatory conditions for the proposal of new transport development projects, in order to achieve optimal costs of design and construction. In the present study, we intend to present a model for assessing land suitability for current and proposed transport infrastructure along the Orient-East Med TEN-T Corridor, in the mountainous region of the Timiș-Cerna Corridor (Romania). The relevant factors for our analysis were outsourced from various thematic data sets and refer to lithology, morphological and morphometrical properties of landforms, soil characteristics and climatic setting of the study area. Conservation of natural environment and human habitat was also taken into consideration by means of analyzing land use patterns and spatial distribution of protected areas. The methodology is based on the principles of cartographic algebra and vector overlay analysis, currently implemented in various GIS applications. The results of our study aim for the identification of critical sectors along the current and proposed transport infrastructure, which intersect areas with high development cost and low suitability. Starting from our observations, specialists in transport networks and spatial planning could make use of dedicated computation algorithms to identify and describe optimal routes for future infrastructure projects that would connect the southern and western parts of the country.
Timiș-Cerna走廊沿线现有和拟议交通基础设施的成本适宜性土地模型(罗马尼亚)
成本适宜性土地建模是新建交通开发项目建议的必备条件之一,以实现设计和建设成本的最优。在本研究中,我们打算提出一个模型,用于评估东方-东地中海TEN-T走廊沿线Timiș-Cerna走廊(罗马尼亚)山区现有和拟议的交通基础设施的土地适宜性。我们分析的相关因素来自不同的专题数据集,涉及研究区域的地貌岩性、形态和形态计量特征、土壤特征和气候环境。通过对保护区土地利用格局和空间分布的分析,考虑了自然环境和人类栖息地的保护。该方法基于目前在各种GIS应用中实现的地图代数和矢量叠加分析原理。我们的研究结果旨在确定当前和拟议的交通基础设施沿线的关键部门,这些部门与高开发成本和低适宜性的地区相交。从我们的观察出发,交通网络和空间规划方面的专家可以利用专用的计算算法来确定和描述连接该国南部和西部的未来基础设施项目的最佳路线。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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6 weeks
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