scholarly journals Decision Support Framework for Cycling Investment Prioritization

2019 ◽  
Vol 2019 ◽  
pp. 1-15
Author(s):  
Draženko Glavić ◽  
Miloš N. Mladenović ◽  
Marina Milenković
Keyword(s):  
Sensitivity Analysis ◽  
Decision Support ◽  
Evaluation Criteria ◽  
Cost Benefit ◽  
Preference Ranking ◽  
Regulatory Constraints ◽  
User Attitudes ◽  
Decision Support Framework ◽  
Conflicting Objectives

Considering the significant potential for environmental, economic, social and health benefits from cycling, transport planners around the world are considering a wide variety of strategies for its promotion. However, cycling investments still have to find their place in a coherent package among other policies. Different constraints often imply a need for prioritization in cycling project implementation. The need for prioritization list of proposed investments can be caused by different factors such as available budget, available time, and regulatory constraints. Evaluation of investments in cycling infrastructure is a field of study that still requires further development, as previous research has mostly focused on questions of what to build and where. Previously used cost-benefit methods have substantive and procedural limitations in dealing with non-commensurable effects, and dealing with multiple conflicting objectives stemming from different stakeholders. On the contrary, development of prioritization list is formulated here as a semi-structured decision problem, thus belonging to the group of multi-criteria analysis (MCA) methods. The MCA methodology implemented in this decision-support framework is based on Preference Ranking Organization Method for Enrichment Evaluations (PROMETHEE). The expert-based decision-support framework includes procedures for defining list of evaluation criteria and their weights, scoring of alternatives, and sensitivity analysis. Presented decision-support framework is applied on six bicycle sections of the EuroVelo route 8 through Montenegro. Results provide a list of prioritized infrastructural investments, as well as list of criteria with weights, and sensitivity analysis. Decision-support framework is discussed in the context of further professionalizing of cycling planning, as well as short-term and long-term structuration of organization learning in the transition country context. Finally, this development opens up directions for further contextualization of decision criteria, and greater consideration of user attitudes in cycling promotion.

scholarly journals Decision-Support Framework for Selecting the Optimal Road Toll Collection System

2018 ◽  
Vol 2018 ◽  
pp. 1-16 ◽  
Author(s):  
Marina Milenković ◽  
Draženko Glavić ◽  
Miloš N. Mladenović
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Swot Analysis ◽  
Evaluation Criteria ◽  
Multicriteria Decision Making ◽  
Preference Ranking ◽  
Collection System ◽  
Advantages And Disadvantages ◽  
Decision Support Framework ◽  
Toll Collection

One of the central decision-making questions in planning road tolling is the selection of the optimal toll collection system (TCS). The question of TCS selection arises in the situation when the existing TCS is to be upgraded or when TCS is selected for a newly constructed road. Considering that there are multiple TCS available nowadays, with their particular advantages and disadvantages, and that there is a range of often conflicting criteria for TCS selection, this decision-making issue belongs to the group of multicriteria decision-making (MCDM) problems. The MCDM-based methodology used in this research integrates Strengths-Weakness-Opportunities-Threat (SWOT) analysis and Fuzzy Preference Ranking Organization Method for Enrichment Evaluations (F-PROMETHEE). The expert-based decision-support framework includes a procedure for defining evaluation criteria and their weights, scoring of alternatives, and sensitivity analysis. Presented decision-support framework is tested with fourteen toll systems. Results indicate that the best-ranked TCS is the dedicated short-range communication multilane free flow. Decision-support framework is developed for transferability to different contexts, where local features can be taken into account by choosing specific alternatives, criteria, and criteria values. Finally, this development opens up opportunities for further analysis of criteria values and considerations of user attitudes in road pricing scheme planning.

A TODIM-Based Decision Support Framework for G-Resilient Supplier Selection in Fuzzy Environment

2016 ◽  
Vol 33 (05) ◽  
pp. 1650033 ◽  
Author(s):  
Dilip Kumar Sen ◽  
Saurav Datta ◽  
Siba Sankar Mahapatra
Keyword(s):  
Decision Support ◽  
Supplier Selection ◽  
Evaluation Criteria ◽  
Fuzzy Topsis ◽  
Fuzzy Decision Making ◽  
Fuzzy Decision ◽  
Selection Problems ◽  
Fuzzy Environment ◽  
Decision Support Framework ◽  
Application Potential

A novel decision support framework has been proposed herein to solve supplier selection problems by considering green as well as resiliency criteria, simultaneously. In this work subjectivity of evaluation criteria has been tackled by exploring fuzzy set theory. A dominance based approach has been conceptualized which is basically a simplified version of TODIM. Application potential of the proposed dominance based fuzzy decision making approach has been compared to that of fuzzy-TOPSIS, fuzzy-VIKOR and also fuzzy-TODIM. The concept of a unique performance index, i.e. “g-resilient” index has been introduced here to help in assessing suppliers’ performance and thereby selecting the best candidate. The work has also been extended to identify the areas in which suppliers are lagging; these seek further improvement towards g-resilient suppliers’ performance to be boosted up to the desired level.

scholarly journals Reliability-Based Decision Support Framework for Major Changes to Social Infrastructure PPP Contracts

2020 ◽  
Vol 10 (21) ◽  
pp. 7659
Author(s):  
Linna Geng ◽  
Nilupa Herath ◽  
Lihai Zhang ◽  
Felix Kin Peng Hui ◽  
Colin Duffield
Keyword(s):  
Decision Support ◽  
Performance Management ◽  
Social Infrastructure ◽  
End User ◽  
Perceived Service Quality ◽  
Performance Requirements ◽  
Expected Performance ◽  
Decision Support Framework ◽  
Contractual Obligations

In the operational phase of public-private partnership (PPP) contracts, undue delay in addressing real needs may lead to poor service outcomes; conversely, commencing variations to a PPP agreement on the whim of end-user runs the risk of reducing the value created by detailed structuring and considerations undertaken in establishing agreement. This difficulty is exasperated as there is generally a lack of understanding by the end-user as to the specifics of service delivery performance requirements contracted. In order to address this question, this study, for the first time, develops a reliability-based decision support framework (RDSF) that incorporates end-user’s perceived service quality (i.e., how satisfied it is with the space, operation and maintenance activities) with those specified in the PPP agreement, and further identifies when the gap between end-user’s expectations and contractual obligations warrants reconsideration. This developed framework is then implemented to test the data gathered from three PPP schools in Australia based on both a current snapshot of performance data, i.e., abatements as gathered through contract documents and end-user’s perception through in-depth interviews, and a projected scenario of the future as well. Reliability analysis used here compares time-dependent risk profiles of current and expected performance and thereby identifies major changes in a PPP contract that would sensibly require reconsideration. The specific results indicate there is no current difficulty between end-user’s perception and the contract. However, the projected long-term scenario demonstrates how the decision framework can identify areas for review and changes if end-users are more dissatisfied with the service being achieved. The RDSF is capable of quantifying current service performance, considering the engagement of the end-user. Thus it enriches theories in the field of performance management system (PMS), and also contributes to knowledge regarding an evidence-based test for justifying possible agreement modifications or additional works in social PPPs operations. In addition, guidance for performance improvement strategies in aspects of the dissatisfied area is also provided. Application of this approach would assist in maintaining the long-term value for money of social infrastructure PPP agreements.

Extension of PROMETHEE for robot selection decision making

2016 ◽  
Vol 23 (4) ◽  
pp. 983-1014 ◽  
Author(s):  
Dilip Kumar Sen ◽  
Saurav Datta ◽  
S.S. Mahapatra
Keyword(s):  
Decision Making ◽  
Sensitivity Analysis ◽  
Decision Support ◽  
Selection Process ◽  
Subjective Evaluation ◽  
Preference Ranking ◽  
Data Set ◽  
Subjective Data ◽  
Content Type ◽  
Robot Selection

Purpose – Robot selection is basically a task of choosing appropriate robot among available alternatives with respect to some evaluation criteria. The task becomes much more complicated since apart from objective criteria a number of subjective criteria need to be evaluated simultaneously. Plenty of decision support systems have been well documented in existing literature which considers either objective or subjective data set; however, decision support module with simultaneous consideration of objective as well as subjective data has rarely been attempted before. The paper aims to discuss these issues. Design/methodology/approach – Motivated by this, present work exhibits application potential of preference ranking organization method for enrichment evaluations (extended to operate under fuzzy environment) to solve decision-making problems which encounter both objective as well as subjective evaluation data. Findings – An empirical case study has been demonstrated in the context of robot selection problem. Finally, a sensitivity analysis has been performed to make the robot selection process more robust. A trade-off between objective criteria measure and subjective criteria measure has been shown using sensitivity analysis. Originality/value – Robot selection has long been viewed as an important decision-making scenario in the industrial context. Appropriate robot selection helps in enhancing value of the product and thereby, results in increased profitability for the manufacturing industries. The proposed decision support system considering simultaneous exploration of subjective as well as objective database is rarely attempted before.

scholarly journals Analisa Perbandingan Metode MOORA, Promethee, dan Weighted product dalam Penentuan Lokasi Usaha

2020 ◽  
Vol 5 (3) ◽  
pp. 282
Author(s):  
Tika Aenun Nadila ◽  
Septi Andryana ◽  
Ira Diana Sholihati
Keyword(s):  
Decision Support ◽  
Decision Support Systems ◽  
Support Systems ◽  
Preference Ranking ◽  
Web Based ◽  
Business Location ◽  
Process Stage ◽  
A Value ◽  
The Right

In building a business, there are many aspects that need to be considered in choosing the right business location,  to minimize costs while still providing quality space to provide long-term benefits This research uses the Moora (Multi-objective optimize on the basis of ratio analysis) method, Promethee (Preference ranking organization method for enrichment evaluation), and Weighted product. These three methods were analyzed by manual calculation, then comparisons were made based on the effectiveness in processing the data and the level of conformity. The results showed that the suitability level of the weighted product method was higher with a value of 99.99857%, followed by MOORA 99.99779% and Promethee 99.99679%. Weighted products also have a fast and effective process stage, so this method is the method used in implementing web-based business location decision support systems . The results of manual and system calculations on weighted products also have the same results, namely the HI shop alternative with a value of 0.189 as the highest alternative.Keywords:Business Location, Moora, Promethee, Decision Support Systems, Weighted product.

Mitigating Environmental Constraints at Airports through Long Term Planning: A Decision Support Approach

2004 ◽  
Vol 12 (2) ◽  
pp. 107-124 ◽  
Author(s):  
Paul Upham ◽  
Yingjie Yang ◽  
David Raper ◽  
Callum Thomas ◽  
David Gillingwater ◽  
...  
Keyword(s):  
Decision Support ◽  
Environmental Constraints

Developing Dynamic Reference Models and a Decision Support Framework for Southeastern Ecosystems: An Integrated Approach

2015 ◽  
Author(s):  
L. K. Kirkman ◽  
John K. Hiers A. ◽  
L. L. Smith ◽  
L. M. Conner ◽  
S. L. Zeigler ◽  
...  
Keyword(s):  
Decision Support ◽  
Integrated Approach ◽  
Reference Models ◽  
Decision Support Framework

Assessing desalination as a sustainable alternative using a multiple criteria decision support model

2008 ◽  
Vol 3 (3) ◽  
Author(s):  
M. B. Fernandes ◽  
M. C. Almeida ◽  
A. G. Henriques
Keyword(s):  
Decision Support ◽  
Energy Production ◽  
Fossil Fuels ◽  
Cost Benefit Analysis ◽  
Cost Benefit ◽  
High Energy ◽  
Economic Benefits ◽  
Multiple Criteria ◽  
Water Production ◽  
Decision Support Model

Desalination technologies provide an alternative for potable water production, having significant potential for application where fresh water scarcity exists. Potential benefits have to be balanced with other factors, such as high costs, high energy consumption, and significant environmental impacts, for the understanding of real risks and gains of desalination within the context of integrated water resources management. Multiple factors can be considered when analysing the viability of a desalination project but often a limited approach is used. The complexity in the analysis lies in finding the alternatives that obey to multiple objectives (e.g. reduced environmental impact, social acceptance, less cost associated). In this paper, development of a methodology based on multiple criteria decision support system for the evaluation and ranking the potential of desalination technologies is described and applied to a Portuguese case study. Relevant factors to the selection of desalination technologies were identified using SWOT analysis and the MACBETH (Measuring Attractiveness by a Categorical Based Evaluation Technique) approach was applied. Technical alternatives considered include reverse osmosis and multi-effect desalination (MED), together with energy production by fossil fuels or solar energy. Production of water by conventional approaches was also considered. Results, for non-economic benefits, show higher score for MED solar but, in the cost-benefit analysis, conventional methods of water production have higher ranking since costs of renewable energies are not yet competitive. However, even if not preferred in economic terms, desalination is ranked significantly above the conventional approaches for non-economic criteria.

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