The urban mobility system is an important factor in social development and must, therefore, be tackled in a way that enables balanced, sustainable development. The purpose of the present work was to introduce a new holistic approach to urban mobility system (UMS) planning, which involves a strategic decision-making process with a broad involvement of various stakeholders. For this purpose, an innovative model was created by synthesizing the focus group (FG) method with the nominal group technique (NGT), SWOT (Strengths, Weaknesses, Opportunities, and Threats) analysis, and the fuzzy analytical hierarchical process (FAHP) method. The fuzzy approach was chosen for its ability to incorporate imprecise and vague information and make a decision-making UMS process more realistic. Accordingly, the objective of the paper was to propose a newly developed model that will (considering the integration of various urban mobility subsystems) enable the detection, identification, and ranking of key priorities required for a more holistic approach to UMS planning. The results revealed that the developed integrated model enables acquired areas to be ranked according to priorities, which further allows the development of scenarios. Moreover, the model allows a better understanding of how to search for compromises when one is faced with multi-criteria decision-making and coordination of frequently contradictory goals. A new integrated urban mobility model, as proposed herein, was also successfully tested in a real-life application, which proves its potential for use in sustainable urban mobility planning in a holistic way.
Urban mobility is one of the crucial factors of quality of life in cities. Therefore, an effective mobility system and its holistic planning are of utmost importance for sustainable and quality development of urban centres. This paper focuses on holistic and integrated strategic planning of a mobility system. The used multi - step methodology was tested on a case of a city of Celje, Slovenia. With the first round of focus groups, information about the specific urban mobility system was gathered which was used to develop a SWOT matrix. This was the foundation for the execution of a second round of focus groups, where the output was a proposition for a strategic plan for mobility development in small and medium sized cities.
Importance of urban mobility system is increasing from year to year. This is the reason why decision making process is increasingly complex requiring taking into account more and more different criteria. One of the important and commonly used techniques that support decision making processes is Analytic Hierarchy Process (AHP) while for the purpose of supporting a more realistic way of decision making, fuzzy logic is used. The paper examines the use of fuzzy analytical hierarchy process (FAHP) in the urban mobility system. With the use of systematic literature review (SLR) it categorises peer reviewed journals' articles related to the applications of FAHP in urban mobility system and extracted from Scopus and Web of science database, and analyses them methodologically. Papers were classified based on basic attributes of research papers, features of urban mobility system (UMS) where the FAHP was used, and use characteristics of the fuzzy analytic hierarchy process (FAHP). The results of this study indicated that the use of FAHP in urban mobility system is increasing with the first published paper in 2009. Our review has found that FAHP is used for very different purposes such as evaluation of customer expectations or citing a selection problem. Most often it is used in combination with other methods. Interestingly, there is only one paper that uses FAHP for decision making in the whole urban mobility system.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.