A DYNAMIC ANALYSIS ON PUBLIC BUS TRANSPORT'S SUPPLY QUALITY BY USING AHP

Transport ◽  
2012 ◽  
Vol 27 (3) ◽  
pp. 268-275 ◽  
Author(s):  
Szabolcs Duleba ◽  
Tsutomu Mishina ◽  
Yoshiaki Shimazaki

Nowadays, it is a really important issue to improve the supply quality of city public bus transportation in many cases. Meanwhile, the different participants of transport systems have different ideas on the ways of improvement, for this reason the taken measures can be inefficient and expensive. The operational costs are steadily increasing (e.g. price of fuel, wages, etc.) therefore the decision makers do not really have the opportunity to lower the price of tickets. For solving the above mentioned problems, before creating a plan of improving a certain public system, a clear image should have been gained on the preferences of passengers, company managers and governmental decision makers. In the current paper a general three-level-hierarchical model has been set up to analyze dynamically the public bus transport system of a city. The price is excluded, only the elements of supply quality are assessed in the hierarchy. Based on the model, questionnaires were created and for the analysis, Analytic Hierarchy Process (AHP) was used to determine preference weights of evaluators from different evaluator groups. Passengers, company managers and governmental officers evaluated exactly the same type of questionnaires so the results are comparable. Avoiding the difficulties of other AHP applications, we used a simplified Saaty-scale for scoring so that the missing data of the matrices could be calculated by an algorithm as well. This study revealed a priority ranking of the elements of supply quality within each level, and this ranking is comparable among the participants of public bus system. This may help the policy makers to synthesize various aspects of public transportation.

2021 ◽  
Vol 11 (3) ◽  
pp. 969
Author(s):  
Katarina Rogulj ◽  
Jelena Kilić Pamuković ◽  
Nikša Jajac

One of the important segments of pedestrian infrastructure are pedestrian bridges. The importance is greater if these bridges are of historical and cultural significance to the city or region. To manage these bridges, it is important to develop an approach that can enable systematic and organized decision-making for experts and policy makers. Hereby, a recovery of bridges is analyzed for the priority ranking of historic pedestrian bridges. Maps of Europe from XIX. Century for the area of Split-Dalmatia County (SDC) are used to locate the bridges. A total of nine bridges are identified, and a set of relevant criteria are defined to evaluate these bridges. The Analytic Hierarchy Process (AHP) is used for the comparison of criteria, evidential reasoning for the assessment of bridges according to each criterion, and then the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is conducted for priority ranking of bridges for the recovery planning. To achieve the final order of bridges it was crucial to take into account mechanical, dynamical, ecological, financial, and, also, social characteristics of these bridges, which was not an easy task. For this reason, the authors proposed a model of decision support to help policy and decision makers in the managing of recovery activities of historic road bridges. The model was conducted on the bridges in the area of SDC, built until the end of the Austro-Hungarian Monarchy.


2019 ◽  
Vol 14 (2) ◽  
pp. 158-177 ◽  
Author(s):  
Jonas Damidavičius ◽  
Marija Burinskienė ◽  
Rasa Ušpalytė−Vitkūnienė

Sustainable Urban Mobility Plans are developed in Europe rapidly. The future initiative is expected will change the image of European cities and will make transport systems efficacious, thus reducing congestion, decreasing air pollution, and offering alternative options for travelling. The impact of the measures being implemented needs to be monitored regularly to evaluate the effect of Sustainable Urban Mobility Plans, and progress in accomplishing the objectives and specific aims of Sustainable Urban Mobility Plans are assessed. Infrastructure measures often require considerable investment, and therefore, their rational use expected to create immense benefit to the public. This article analyses various European models for monitoring and evaluating Sustainable Urban Mobility Plans. The models are structured, proposing an assessment methodology for Sustainable Urban Mobility Plans. Assistance provided by the experts and the use of evaluation models for the analytic hierarchy process assists in identifying the significance of the monitoring indicators that allow assessing the priority orders and the importance of implementing mobility measures.


2015 ◽  
Vol 4 (1and2) ◽  
Author(s):  
Rajeev Dhingra ◽  
Preetvanti Singh

Decision problems are usually complex and involve evaluation of several conflicting criteria (parameters). Multi Criteria Decision Making (MCDM) is a promising field that considers the parallel influence of all criteria and aims at helping decision makers in expressing their preferences, over a set of predefined alternatives, on the basis of criteria (parameters) that are contradictory in nature. The Analytic Hierarchy Process (AHP) is a useful and widespread MCDM tool for solving such type of problems, as it allows the incorporation of conflicting objectives and decision makers preferences in the decision making. The AHP utilizes the concept of pair wise comparison to find the order of criteria (parameters) and alternatives. The comparison in a pairwise manner becomes quite tedious and complex for problems having eight alternatives or more, thereby, limiting the application of AHP. This paper presents a soft hierarchical process approach based on soft set decision making which eliminates the least promising candidate alternatives and selects the optimum(potential) ones that results in the significant reduction in the number of pairwise comparisons necessary for the selection of the best alternative using AHP, giving the approach a more realistic view. A supplier selection problem is used to illustrate the proposed approach.


2021 ◽  
Vol 11 (4) ◽  
pp. 1660 ◽  
Author(s):  
Ivan Marović ◽  
Monika Perić ◽  
Tomaš Hanak

A way to minimize uncertainty and achieve the best possible project performance in construction project management can be achieved during the procurement process, which involves selecting an optimal contractor according to “the most economically advantageous tender.” As resources are limited, decision-makers are often pulled apart by conflicting demands coming from various stakeholders. The challenge of addressing them at the same time can be modelled as a multi-criteria decision-making problem. The aim of this paper is to show that the analytic hierarchy process (AHP) together with PROMETHEE could cope with such a problem. As a result of their synergy, a decision support concept for selecting the optimal contractor (DSC-CONT) is proposed that: (a) allows the incorporation of opposing stakeholders’ demands; (b) increases the transparency of decision-making and the consistency of the decision-making process; (c) enhances the legitimacy of the final outcome; and (d) is a scientific approach with great potential for application to similar decision-making problems where sustainable decisions are needed.


2016 ◽  
Vol 6 (1) ◽  
pp. 1
Author(s):  
Antonius Dwi Yunianto, Santun R. P. Sitorus, dan Khursatul Munibah

The provision of Green Open Space (GOS) constitutes an important need for city and as a mandate ofthe Law on Spatial Planning. Ungaran city currently has the width of public GOS under 20%. It makesUngaran city has not yet qualified to become a Green City. The objectives of this study are to identify andanalyze the width and distribution of GOS existing condition; to analyze the needs of Ungaran’s GOSin order to meet the specified conditions of prevailing law; to arrange the plan of GOS based on GreenPlanning concept; and to arrange the design of GOS based on Green Design concept. The analysis willbe conducted by using Patch Analysis method. The analysis of GOS is based on the inhabitant’s needand the wide area, and the Analytic Hierarchy Process (AHP). The GOS mapping result of Ungarancity is 2.190,66 ha which consists of private GOS (2.112,74 ha) and public GOS (77,92 ha). Based onthe total projection of population in 2032, the public GOS need is 292,41 ha. Whereas the needs ofpublic GOS based on the 20% from wide area (612,17 ha). The direction of public GOS developmentbased on green planning is divided into three alternatives, first, based on the balance distribution ofGOS within the area, and land use priority; second, based on the balance distribution of GOS, land usepriority, distance to the residence, minimum width of 250m2, and the complexity of landform; third,based on the consideration of the spatial patterns and regional asset authority. The direction of publicGOS development is based on green design approach to divide the design based on necessity activityand function patterns of public GOS.


Author(s):  
Swapnil Lahane ◽  
◽  
Himanshu Prajapati ◽  
Ravi Kant ◽  
◽  
...  

This research aims to evaluate and rank the Circular Supply Chain (CSC) enablers for the effective implementation of CSC management. From the literature and input received from industrial experts, 30 CSC enablers are identified. Further, the selected CSC enablers are classified into seven main categories. This research employs the Pythagorean fuzzy analytic hierarchy process (PF-AHP) technique to prioritize the selected CSC enablers based on pairwise comparison of criteria and sub-criteria. The effectiveness of the proposed method is illustrated with the help of responses received from an Indian manufacturing industry. The result reveals that global climate pressure and ecological scarcity of resources is the most significant enabler and the environment management certifications and systems is the least important enabler. The result of the present study will assist the practitioners / decision makers in implementing CSC in manufacturing organizations by adopting the ranking obtained in a systematic way.


2019 ◽  
Vol 31 (5) ◽  
pp. 1235-1241
Author(s):  
Marina Badarovska Mishevska

The analytic hierarchy process (AHP) is a structured technique for organizing and analyzing complex decisions, based on mathematics and psychology. The method was developed by Thomas L. Saaty in the 1970s and has been extensively studied and refined since then. It has particular application in group decision making and is used around the world in a wide variety of decision situation. Rather than prescribing a "correct" decision, the AHP helps decision makers choose one that best suits their goal and their understanding of the problem. The technique provides a comprehensive and rational framework for structuring a decision problem, for representing and quantifying its elements, for relating those elements to overall goals, and for evaluating alternative solutions. Decision making is the choice of one alternative, from two or more, to which the course of the activity is directed and the problem is solved. The decision-making process is a rational attempt by the manager to achieve the goals of the organizational unit. The decision-making process can be thought of as a "brain and nervous system" of an enterprise. Decisions are made when a person wants things to be different in the future. Given each specific situation, making the right decisions is probably one of the most difficult challenges for managers. Managers in day-to-day work deliver programmed and unprogrammed decisions that solve simple or complex problems. Simple decisions have an impact on the short-term performance of the enterprise, and complex decisions have an impact on the long-term future and success of the enterprise. Users of the AHP first decompose their decision problem into a hierarchy of more easily comprehended sub-problems, each of which can be analyzed independently. Once the hierarchy is built, the decision makers systematically evaluate its various elements by comparing them to each other two at a time, with respect to their impact on an element above them in the hierarchy. The AHP converts these evaluations to numerical values that can be processed and compared over the entire range of the problem. In this article, it is explained the application of the AHP method in order to evaluate and promote employees in the enterprise "X" with several criteria. The obtained results enable the manager to evaluate the employees in an objective way and make an objective decision for their promotion. Its application for selecting the best among employees, in their assessment and promotion, allows managers to use a specific and mathematical tool to support the decision. This tool not only supports and qualifies decisions, it also allows managers to justify their choice, as well as to simulate possible results.


Author(s):  
REZA KHORRAMSHAHGOL

This paper, using goal programming (GP) and the analytic hierarchy process (AHP), proposes an integrated methodology to aid decision makers in (1) evaluating, screening and selecting best suppliers from among an exhaustive list of available suppliers and (2) determining the amount to be purchased from the selected suppliers. Along the supply chain, the suppliers, by being situated at the upstream of the chain, play a crucial role in successful management of the entire (subsequent) members of the chain and can have a significant impact on the efficiency and effectiveness of the activities of the rest of the chain, and ultimately, on the delivery of the desired products/services. Thus supplier selection can certainly contribute greatly to a firm's competitive advantage and its organizational success. This study suggests a screening and evaluation method, named supplier priority index matrix, to eliminate the least qualified suppliers and to choose the most promising ones. The remaining potential suppliers are evaluated and the best are selected from among them. Finally the AHP and GP are used to allocate the firm's total supplies among the chosen/selected suppliers.


2013 ◽  
Vol 438-439 ◽  
pp. 1024-1027
Author(s):  
Xiao Guo Chen

The paper introduces some information about Harbin Metro line 1, makes the decision analysis on economies, environment, society and geological environment of Harbin Metro line 1 by some fuzzy comprehensive evaluation model, and gives the weight coefficients of indicators through analytic hierarchy process. The comprehensive evaluation result provides the basis for decision-makers during decision of metro projects.


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