کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1116292 1488449 2014 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Prediction of Transport Infrastructure Financing Needs based on Precedences
موضوعات مرتبط
علوم انسانی و اجتماعی علوم انسانی و هنر هنر و علوم انسانی (عمومی)
پیش نمایش صفحه اول مقاله
Prediction of Transport Infrastructure Financing Needs based on Precedences
چکیده انگلیسی

This article solves analyzing and modeling of transport infrastructure financing needs based on precedence analysis. Precedence is calculated for the infrastructure of the selected region and selected segmentation applied in smaller regional units. Based on comparison of progress of the precedence of transport infrastructure at various time intervals and development of precedence in the infrastructure funding are sought consensus and disproportion in the precedence. Development of transport is determined by the state inspection infrastructure concepts and strategies for transport policy. These concepts are continually updated. Based on changes in the design there can be determined another precedence. Precedence in transport infrastructure may be affected by various combinations of selected segments of transport routes. For this reason, different precedence may exist. To determine the precedence it is important do correct choice of threshold values of important qualitative and quantitative attributes. Based on combination of values for these attributes are compared development of the precedence in the past and there are searched consensus in the precedence of development infrastructure, in the precedence of concepts changes and in the precedence infrastructure funding. Setting appropriate thresholds and mutual functional dependencies among individual attributes are predicted requirements for infrastructure funding. Prediction is based on planning changes in transport infrastructure which are modified based on individual precedence in concepts changes.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Procedia - Social and Behavioral Sciences - Volume 110, 24 January 2014, Pages 361-372