Setting Priority List for Construction Works of Bicycle Path Segments Based on Eckenrode Rating and Aras-F Decision Support Method Integrated in Gis

Abstract

Bicycling and walking are essential elements of sustainable transportation. These transportation modes effectively reduce the negative environmental impacts of transport and improve the quality of life. It is not only recognized by governments but also naturally become more prevalent in modern society. Nowadays research on bicycling and interest in related topics is dramatically increasing, but while researchers focus on modern technologies and collecting data from portable devices, there are quite a few studies on the effectiveness of investments in bicycle infrastructure, and even less discussed is a question how to set the priorities for construction works of the bicycle path network. To fill this gap this paper presents the universal method of ranking the priorities for development and renewal of bicycle pathway segments. The process is realized by hybrid Multi-Criteria Decision-Making (MCDM) Additive Ratio ASsessment with Fuzzy (ARAS-F) model, based on Eckenrode rating. Given criteria and their weights apply only to the specifics of this case study, and it need adaptation if used for other territories. Presented case study gives insight into the task of upgrading bicycle networks – how to overcome the inequalities, fragmentation and build missing links. Developed hybrid MCDM model integrated into Geographic Information System (GIS) allows quickly find rationally balanced solutions and develop bicycle network in efficient way.

College Sports Decision-Making Algorithm Based on Machine Few-Shot Learning and Health Information Mining Technology

“…More scholars and researchers are applying data mining techniques to college education and physical ability analysis in this environment. Literature [ 6 ] uses the classification method of a decision tree, applies data mining technology to the student performance information, and constructs a professional ability decision tree model to help teachers gain more accurate and efficient insight into the problems that exist in the teaching process, and achieve the effect of optimizing teaching quality by using performance information. The literature [ 7 ] adopted the decision tree ID3 algorithm, and the association rules Apriori algorithm for data mining analysis based on student performance data.…”

An overview of ARAS method: Theory development, application extension, and future challenge

“…For the studies about transportation management, two of them focus on the problems in traffic management, in which Radovic et al 106 assessed the performance of transportation companies in developing countries, and Zagorskas and Turskis 91 ranked the construction works of bicycle path segments. The rest of the studies are mainly related to logistic management, such as logistic centers location selection, 5,134 the third party logistics selection, 101 freight distribution concept selection, 78 and evaluation of the logistics performance of Organization for Economic Cooperation and Development (OECD) countries 59 .…”

Simulation, Optimization, and Machine Learning in Sustainable Transportation Systems: Models and Applications

“…Their analysis is based on fuzzy-related multi criteria decision analysis methods. Zagorskas and Turskis [122] proposes a fuzzy-based methodology that allows policy makers to rank the priorities for development and renewal of bicycle pathway segments. Based on a case study in a large Indian city, Singh et al [123] introduce a framework for the selection of sustainable transport.…”