Strategic Planning Based on Sustainability for Urban Transportation: An Application to Decision-Making
28 Apr 2020-Sustainability (Multidisciplinary Digital Publishing Institute)-Vol. 12, Iss: 9, pp 3589
TL;DR: A multicriteria decision-making process for prioritizing alternative public transportation projects in Kirikkale, considering the urban type of a developing city is presented, and the electric municipality bus is selected as the best project alternative.
Abstract: Public transportation is one of the main goals of a developing city. This topic includes not only administrators, but also city residents and the environment, with economic, environmental, and social factors. This paper presents a multicriteria decision-making process for prioritizing alternative public transportation projects in Kirikkale, considering the urban type of a developing city. It outlines three planned projects for improvement: “electric municipality bus”, “light rail system”, and the “modernization of existing vehicles and network optimization”. In this study, we use the analytic hierarchy process and fuzzy technique for order preference by similarity to ideal situation (TOPSIS) application to prioritize transportation projects using economic, social, transportation, and environmental sub-criteria. The aim of this study is to select the most suitable project, based on sustainability, for more urban livability in Kirikkale city. In the strategic decision-making process, the weights of each sustainability criteria have been determined using analytic hierarchy process (AHP). The fuzzy TOPSIS method has been applied for ranking the proposed alternative projects for Kirikkale. Finally, the analytic decision process results are compared, and the electric municipality bus is selected as the best project alternative. The results of this study can not only offer a solution for current needs related to urban planning, but also ensure as a more transparent decision-making process for developing sustainability in developing cities in the near future.
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TL;DR: This study proposes an integrated methodology based on the analytic hierarch process (AHP) and technique for order preference by similarity to ideal solution (TOPSIS) to evaluate UAV alternatives for selection process and shows that UAV-1 was selected as the most suitable vehicle.
Abstract: The unmanned systems have been seeing a significant boom in the last ten years in different areas together with technological developments One of the unmanned systems is unmanned aerial vehicles (UAVs) UAVs are used for reconnaissance and observation in the military areas and play critical role in attack and destroy missions These vehicles have been winning more features together with developing technology in todays world In addition, they have been varying with different features A systematic and efficient approach for the selection of the UAV is necessary to choose a best alternative for the critical tasks under consideration The multicriteria decision-making (MCDM) approaches that are analytic processes are well suited to deal intricacy in selection of alternative vehicles This study also proposes an integrated methodology based on the analytic hierarch process (AHP) and technique for order preference by similarity to ideal solution (TOPSIS) to evaluate UAV alternatives for selection process Firstly, AHP, a MCDM method, is used to determine the weights of each critical factor Subsequently, it is utilized with the TOPSIS approach to rank the vehicle alternatives in the decision problem Result of the study shows that UAV-1 was selected as the most suitable vehicle In results, it is seen that the weights of the evaluation criteria found by using AHP affect the decision-making process Finally, the validation and sensitivity analysis of the solution are made and discussed
39 citations
Cites methods from "Strategic Planning Based on Sustain..."
...Besides, these methods have been used in studies like maintenance strategy selection [60], supplier selection [61], evaluation of low-emission energy technologies [62], optimization of maintenance strategies [63, 64], electric bus selection [65], strategic planning [66], and supplier selection [67]....
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TL;DR: In this paper , a three-stage integrated Fermatean fuzzy model for adapting urban transport planning to the pandemic is presented, which mainly aims to help transport planners increase the resilience of transport systems.
35 citations
TL;DR: Wang et al. as mentioned in this paper evaluated the sustainability level of 19 first-tier cities in China by selecting 18 indicators from economic, social and environmental systems, and proposed a sustainability oriented sequential relationship analysis method to allocate more weight to the indicator with higher sustainable level.
32 citations
TL;DR: A multi-criteria analysis of the placement selection for a strip of expressway located in north-eastern Poland allowed for an eventual multi-dimensional evaluation of the most popular MCDM/MCDA methods currently applied in the field of transport.
Abstract: The article pertains to the utilization of the application potential of MCDM/MCDA (Multi-Criteria Decision Making/Multi-Criteria Decision Analysis) methods in decision-making problems in the field of transport in light of sustainable development. The article consists of a theoretical and an empirical part. As part of the literature studies, a review was carried out on the latest applications of MCDM/MCDA methods for decision-making problems in the field of transport. In the empirical part, a multi-criteria analysis of the placement selection for a strip of expressway located in north-eastern Poland was carried out. For this purpose, a hybrid approach was used, consisting of three selected MCDM/MCDA methods: DEMATEL, REMBRANDT, and VIKOR. The ranking was compared with the results achieved in the EIA report of the investment and the results were obtained by using a different set of MCDM/MCDA methods that were proposed in the first part of the research, i.e., AHP, Fuzzy AHP, TOPSIS, and PROMETHEE. The performed multi-criteria analyses allowed for an eventual multi-dimensional evaluation of the most popular MCDM/MCDA methods currently applied in the field of transport.
25 citations
TL;DR: The result shows that the new method proposed can not only model passengers’ satisfaction evaluation information with more uncertainties, but also determine more reasonable and credible satisfaction levels of rail transit lines.
Abstract: Passenger satisfaction is an important factor that affects the choice of travel modes for municipalities, especially in big cities. This evaluation is an important task for managers when they are considering improving the competitiveness of the public transportation system. However, passenger satisfaction evaluation is difficult as the information provided by passengers is often vague, imprecise, and uncertain. This paper aims to propose a new method, using Pythagorean fuzzy sets and multi-objective optimization by a ratio analysis plus full multiplicative form method (MULTIMOORA), to evaluate the passenger satisfaction level of the public transportation system under large group environment. The former is employed to represent the satisfaction assessments of rail transit network provided by passengers. The latter is extended and used to determine the passenger satisfaction levels of rail transit lines. In addition, a combination weighting method is suggested to compute the relative weights of evaluation criteria. A case study of the rail transit network in Shanghai is provided to demonstrate the effectiveness of the proposed passenger satisfaction evaluation method. The result shows that the new method proposed in this study can not only model passengers’ satisfaction evaluation information with more uncertainties, but also determine more reasonable and credible satisfaction levels of rail transit lines.
22 citations
References
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Book•
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01 Aug 1996
TL;DR: A separation theorem for convex fuzzy sets is proved without requiring that the fuzzy sets be disjoint.
Abstract: A fuzzy set is a class of objects with a continuum of grades of membership. Such a set is characterized by a membership (characteristic) function which assigns to each object a grade of membership ranging between zero and one. The notions of inclusion, union, intersection, complement, relation, convexity, etc., are extended to such sets, and various properties of these notions in the context of fuzzy sets are established. In particular, a separation theorem for convex fuzzy sets is proved without requiring that the fuzzy sets be disjoint.
52,705 citations
TL;DR: The Analytic Hierarchy Process (AHP) is a theory of measurement through pairwise comparisons and relies on the judgements of experts to derive priority scales that measure intangibles in relative terms.
Abstract: Decisions involve many intangibles that need to be traded off To do that, they have to be measured along side tangibles whose measurements must also be evaluated as to, how well, they serve the objectives of the decision maker The Analytic Hierarchy Process (AHP) is a theory of measurement through pairwise comparisons and relies on the judgements of experts to derive priority scales It is these scales that measure intangibles in relative terms The comparisons are made using a scale of absolute judgements that represents, how much more, one element dominates another with respect to a given attribute The judgements may be inconsistent, and how to measure inconsistency and improve the judgements, when possible to obtain better consistency is a concern of the AHP The derived priority scales are synthesised by multiplying them by the priority of their parent nodes and adding for all such nodes An illustration is included
6,787 citations
Journal Article•
TL;DR: The Analytic Hierarchy Process (AHP) as discussed by the authors is a theory of measurement through pairwise comparisons and relies on the judgements of experts to derive priority scales, these scales are these scales that measure intangibles in relative terms.
5,663 citations
TL;DR: The analytic hierarchy process (AHP) includes both the rating and comparison methods and requires developing a reliable hierarchic structure or feedback network that includes criteria of various types of influence, stakeholders, and decision alternatives to determine the best choice.
Abstract: People make three general types of judgments to express importance, preference, or likelihood and use them to choose the best among alternatives in the presence of environmental, social, political, and other influences. They base these judgments on knowledge in memory or from analyzing benefits, costs, and risks. From past knowledge, we sometimes can develop standards of excellence and poorness and use them to rate the alternatives one at a time. This is useful in such repetitive situations as student admissions and salary raises that must conform with established norms. Without norms one compares alternatives instead of rating them. Comparisons must fall in an admissible range of consistency. The analytic hierarchy process (AHP) includes both the rating and comparison methods. Rationality requires developing a reliable hierarchic structure or feedback network that includes criteria of various types of influence, stakeholders, and decision alternatives to determine the best choice.
3,831 citations