scholarly journals An Integrated Multi Criteria Decision Making Model for Evaluating Park-and-Ride Facility Location Issue: A Case Study for Cuenca City in Ecuador

2021 ◽  
Vol 13 (13) ◽  
pp. 7461
Author(s):  
Jairo Ortega ◽  
Sarbast Moslem ◽  
Juan Palaguachi ◽  
Martin Ortega ◽  
Tiziana Campisi ◽  
...  
Keyword(s):  
Decision Making ◽  
Facility Location ◽  
Pairwise Comparison ◽  
Central Business District ◽  
Facility Location Problem ◽  
Location Factors ◽  
Pairwise Comparison Matrix ◽  
Park And Ride ◽  
Business District

A park-and-ride (P&R) system is a set of facilities where private vehicle users can transfer to public transport to continue their journey. The main advantage of the system is decreasing the congestion in the central business district. This paper aims to analyze the most significant factors related to a Park-and-Ride facility location by adopting a combined model of Analytic Hierarchy Process (AHP) and Best Worst Method (BWM). The integrated model is applicable for complex problems, which can be structured as a hierarchy with at least one 5 × 5 pairwise comparison matrix (PCM) (or bigger). Applying AHP for at least 5 × 5 PCM may generate inconsistent matrices, which may cause a loss of reliable information. As a solution for this gap, we conducted BWM, which generates more consistent comparisons compared to the AHP approach. Moreover, the model requires fewer comparisons compared to the classic AHP approach. That is the main reason of adopting the AHP-BWM model to evaluate Park-and-Ride facility location factors for a designed two-level hierarchical structure. As a case study, a real-world complex decision-making process was selected to evaluate the Park-and-Ride facility location problem in Cuenca city, Ecuador. The result shows that the application of multi-criteria methods becomes a planning tool for experts when designing a P&R system.

scholarly journals An Integrated Approach of Analytic Hierarchy Process and Triangular Fuzzy Sets for Analyzing the Park-and-Ride Facility Location Problem

Symmetry ◽  
2020 ◽  
Vol 12 (8) ◽  
pp. 1225 ◽  
Author(s):  
Jairo Ortega ◽  
János Tóth ◽  
Sarbast Moslem ◽  
Tamás Péter ◽  
Szabolcs Duleba
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Fuzzy Sets ◽  
Facility Location ◽  
Public Transport ◽  
Location Problem ◽  
Facility Location Problem ◽  
Analytic Hierarchy ◽  
Park And Ride ◽  
Hierarchy Process

A park and ride (P&R) system is a set of facilities where private vehicle users can transfer to public transport to complete their journey. The main advantage of the system is reducing the congestions problem in the central business district (CBD). Thus, the notion of symmetry is particularly important in multi-criteria decision aid (MCDA) because they are basic characteristics of the binary relationships used in modelling the preferences of decision-makers. The focal point of this study is evaluating the P&R facility system location problem from the experts’ point of view. For this aim, an integrated multicriteria decision-making (MCDM) methodology is proposed to evaluate the location of the facilities of the P&R system. The questionnaire survey was designed and estimated by 10 transport experts in the related field. The famous analytic hierarchy process (AHP) was adopted in a fuzzy environment, where the fuzzy sets have an efficient ability to manage the vague concepts in a specific way; moreover, it can mitigate the evaluator reasoning during decision-making. The hierarchical structure of the problem was established to evaluate a real-life problem in Cuenca city, Ecuador. The outcomes highlighted the “accessibility of public transport” as the most significant issue in the P&R facility location problem. The obtained results provide more flexible facilities than the pure AHP method.

A Decision Support System and Visualisation Tools for AHP-GDM

2021 ◽  
pp. 703-722
Author(s):  
Alberto Turón ◽  
Juan Aguarón ◽  
María Teresa Escobar ◽  
José María Moreno-Jiménez
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Group Decision Making ◽  
Support System ◽  
Pairwise Comparison ◽  
Decision Makers ◽  
Consensus Matrix ◽  
Minimum Number

The Precise Consistency Consensus Matrix (PCCM) is a decisional tool for AHP-Group Decision Making (AHP-GDM). Based on the initial pairwise comparison matrices of the individuals, the PCCM constructs a consensus matrix for the group using the concept of consistency. This paper presents a decision support system (PRIOR-PCCM) that facilitates the construction of the PCCM in the context of AHP-GDM, and the calculus of four indicators that allows comparison of the behaviour of group consensus matrices. PRIOR-PCCM incorporates the possibility of considering different weights for the decision makers and includes a module that permits the extension of the initial PCCM which can achieve the minimum number of non-null entries required for deriving priorities or establishing a complete PCCM matrix. It also includes two cardinal indicators for measuring consistency and compatibility and two ordinal indicators for evaluating the number of violations of consistency and priority. The paper introduces some new visualisation tools that improve comprehension of the process followed for obtaining the PCCM matrix and allow the cognitive exploitation of the results. These original contributions are illustrated with a case study.

scholarly journals Strategic sourcing: Developing a progressive framework for make-or-buy decisions

2020 ◽  
Vol 13 (1) ◽  
pp. 133
Author(s):  
Rubén Medina-Serrano ◽  
Reyes González-Ramírez ◽  
Jose Gasco-Gasco ◽  
Juan Llopis-Taverner
Keyword(s):  
Supply Chain ◽  
Literature Review ◽  
Graphical Representation ◽  
Qualitative Interviews ◽  
Pairwise Comparison ◽  
Decision Matrix ◽  
Pairwise Comparison Matrix ◽  
Chain Management ◽  
Strategic Sourcing

Purpose: Make-or-buy decisions represent a critical dilemma faced by many firms. The appropriate decision between designing and manufacturing parts or services in-house, buying them from external providers or combining both is a fundamental firm process. This paper seeks to address this question by updating the traditional make-or-buy literature with new academic insights, developing a make-or-buy framework with a tool for its operationalisation to help managers evaluate sourcing decisions.Design/methodology/approach:  First, a literature review of the principal theories and approaches about make-or-buy decisions is discussed. Second, the development of the make-or-buy framework is described and explained based on the results of qualitative interviews with practitioners and a set of interviews of an in-firm case study. Third, the results and the implementation of the framework are outlined.Findings: Our study not only validates the proposed framework through a set of in-firm make-or-buy decisions, but also provides a structure for its implementation and design a decision matrix with a pairwise comparison tool for helping practitioners to put the framework into practice.Research limitations/implications: This paper aims to contribute to the study of the make-or-buy literature in supply chain management through the graphical representation of why and how make-or-buy decisions are made. Interestingly, the paper presents relevant dimensions and factors to be studied and evaluates possible outcomes when approaching make-or-buy decisions.Originality/value: Our results suggest that practitioners should combine this framework with a pairwise comparison matrix and a multi-criteria decision analysis based on the TOPSIS methodology to assess strategic sourcing decisions.

scholarly journals Application of the AHP-BWM Model for Evaluating Driver Behavior Factors Related to Road Safety: A Case Study for Budapest

Symmetry ◽  
2020 ◽  
Vol 12 (2) ◽  
pp. 243 ◽  
Author(s):  
Sarbast Moslem ◽  
Danish Farooq ◽  
Omid Ghorbanzadeh ◽  
Thomas Blaschke
Keyword(s):  
Decision Making ◽  
Road Safety ◽  
Driver Behavior ◽  
Pairwise Comparison ◽  
Scientific Data ◽  
Analytic Hierarchy ◽  
Pairwise Comparison Matrix ◽  
Proposed Model ◽  
Decision Making Problem ◽  
Complex Decision Making

The use of driver behavior has been considered a complex way to solve road safety complications. Car drivers are usually involved in various risky driving factors which lead to accidents where people are fatally or seriously injured. The present study aims to dissect and rank the significant driver behavior factors related to road safety by applying an integrated multi-criteria decision-making (MCDM) model, which is structured as a hierarchy with at least one 5 × 5 (or bigger) pairwise comparison matrix (PCM). A real-world, complex decision-making problem was selected to evaluate the possible application of the proposed model (driver behavior preferences related to road safety problems). The application of the analytic hierarchy process (AHP) alone, by precluding layman participants, might cause a loss of reliable information in the case of the decision-making systems with big PCMs. Evading this tricky issue, we used the Best Worst Method (BWM) to make the layman’s evaluator task easier and timesaving. Therefore, the AHP-BWM model was found to be a suitable integration to evaluate risky driver behavior factors within a designed three-level hierarchical structure. The model results found the most significant driver behavior factors that influence road safety for each level, based on evaluator responses on the driver behavior questionnaire (DBQ). Moreover, the output vector of weights in the integrated model is more consistent, with results for 5 × 5 PCMs or bigger. The proposed AHP-BWM model can be used for PCMs with scientific data organized by traditional means.

Chicago Transit Authority Weekday Park-and-Ride Users: Choice Market with Ridership Growth Potential

2000 ◽  
Vol 1735 (1) ◽  
pp. 158-168 ◽  
Author(s):  
Peter J. Foote
Keyword(s):  
Fast Food ◽  
System Analysis ◽  
Positive Impact ◽  
Central Business District ◽  
Growth Potential ◽  
Work Related ◽  
Park And Ride ◽  
Geographic Information System Analysis ◽  
Business District ◽  
Mean Cost

Chicago Transit Authority (CTA) park-and-ride users make up a small but important submarket of CTA ridership (2.3 million of 445.3 million annual rides). In fall 1998, a survey was made of 1,758 CTA park-and-ride users on weekdays at 15 CTA park-and-ride lots near the point of payment. The survey asked for customer satisfaction ratings, travel characteristics, prior mode used, reasons for park-and-ride use, demographics, and, at the largest lots, ratings of the desirability of potential amenities or services that could be added to the lots. Compared with CTA riders overall, park-and-ride users showed substantially higher household incomes and travel frequencies and made predominantly work-related trips to and from Chicago’s central business district. Riders said that they chose to use park-and-ride because it was the fastest way to make their trip, because of the cost of parking at their destination (mean cost of $10.29), or because they disliked driving. Before using CTA park-and-ride service, most customers used some automobile-related means of making their trips. Substantial turnover and geographic information system analysis of home location data suggest that regular target marketing and investment in new facilities would have a positive impact on overall ridership. Of potential customer amenities tested, riders showed the most willingness to try shopping-related amenities (convenience mart, fast food and grocery outlet) over amenities related to automobile servicing.

scholarly journals Visitor Satisfaction with a Public Green Infrastructure and Urban Nature Space in Perth, Western Australia

Land ◽  
2018 ◽  
Vol 7 (4) ◽  
pp. 159 ◽  
Author(s):  
Jackie Parker ◽  
Greg Simpson
Keyword(s):  
Western Australia ◽  
Green Infrastructure ◽  
Central Business District ◽  
Self Report ◽  
Urban Nature ◽  
Urban Centers ◽  
Scarce Resources ◽  
Visitor Satisfaction ◽  
Business District

The widely applied Importance-Performance Analysis (IPA) provides relatively simple and straightforward techniques to assess how well the attributes of a good or service perform in meeting the expectations of consumers, clients, users, and visitors. Surprisingly, IPA has rarely been applied to inform the management of urban public green infrastructure (PGI) or urban nature (UN) spaces. This case study explores the visitor satisfaction levels of people using a PGI space that incorporates UN, close to the central business district of Perth, Western Australia. With diminishing opportunities to acquire new PGI spaces within ever more densely populated urban centers, understanding, efficiently managing, and continuously improving existing spaces is crucial to accessing the benefits and services that PGI and UN provide for humankind. An intercept survey conducted within the Lake Claremont PGI space utilized a self-report questionnaire to gather qualitative and quantitative data (n = 393). This case study demonstrates how the IPA tool can assist urban planners and land managers to collect information about the attributes of quality PGI and UN spaces to monitor levels of service, to increase overall efficiency of site management, to inform future management decisions, and to optimize the allocation of scarce resources. The satisfaction of PGI users was analyzed using the IPA tool to determine where performance and/or resourcing of PGI attributes were not congruent with the expectations of PGI users (generally in the form of over-servicing or under-servicing). The IPA demonstrated that a majority of PGI users perceived the study site to be high performing and were satisfied with many of the assessed attributes. The survey identified the potential for some improvement of the amenity and/or infrastructure installations at the site, as well as directing attention towards a more effective utilization of scarce resources. Optimizing the management of PGI spaces will enhance opportunities for individuals to obtain the physiological, psychological, and emotional benefits that arise from experiencing quality urban PGI spaces. This case study promotes the important contribution that high-quality PGI spaces, which include remnant and restored UN spaces, make to the development of resilient and sustainable urban centers.

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