An integrated fuzzy MCDM model for prioritizing strategies for successful implementation and operation of the bus rapid transit system

Abstract

The selection and prioritization of suitable strategies to address the challenges to the successful operation and implementation of the bus rapid transit (BRT) system is a common problem faced by practitioners and decision-makers. Recent research has widely discussed the issue, but such assessments have remained limited in the city of Dar es Salaam, Tanzania context, where there are mobility difficulties. The present study addresses this research gap and identifies the most critical challenges to BRT implementation and operation, and recommends the most appropriate strategy for overcoming them. Seven strategies are defined. To prioritize these strategies, five criteria are determined. An integrated multi-criteria decision-making model is introduced. Improved Fuzzy Step-Wise Weight Assessment Ratio Analysis based on the Bonferroni operator was used to determine the importance of the criteria. Measurement of alternatives and ranking according to compromise solution was applied to assess and rank the strategies. The results indicate that “frequent flooding at the Jangwani bridge bus terminal” and “long waiting time at bus stops” are the most critical challenges while the fourth alternative “strengthening the operation and management” is the appropriate strategy to be implemented for successful operation and implementation of the BRT system. After that, a five-phase sensitivity analysis is performed to observe the robustness of the proposed approach. The results indicate the flexibility and applicability of the proposed approach can address real-life problems. The proposed methodology in this work can be instrumental in assisting mass transit operators with the successful implementation and operation of the BRT system.

Data-Driven Multi-Criteria Assessment Framework for Analyzing the Reliability of Bus Services

“…The framework in the present work differs from previous studies, such as Güner ( 37 ), Li and Tan ( 17 ), Yang et al ( 18 ), Manzolli et al ( 20 ), and Bouraima et al ( 22 ), in several ways. First, because of the risk of missing data and errors with the AVL systems, a GPS data preprocessing approach is developed.…”

“…In addition, the result of the numerical experiments are justified with a comparison of different MCDA methods for a real case study which is provided. We also elaborate on the modeling assumptions and prioritization technique used by Bouraima et al ( 22 ) in that normalized composite values for each alternative along with a consistency check are taken into account.…”

Evaluating Free Zone Industrial Plant Proposals Using a Combined Full Consistency Method-Grey-CoCoSo Model

“…The decision maker conducted pairwise comparisons of the ranked criteria established in Step 1 relative to Cl criterion. The analysis was conducted using a standardized scale [1,9]. Table 2 presents the obtained priorities of all criteria ranked in Step 1.…”

“…The exploration of Multi-Criteria Decision Making (MCDM) has engendered notable consideration among researchers spanning various disciplines in the past years [8][9][10]. The Full Consistency Method (FUCOM) emerges as a contemporary model, which, akin to the Analytical Hierarchy Process (AHP) and Best Worst Method (BWM), capitalizes on the principles of pairwise comparison and validates results through an assessment of deviation from maximum consistency.…”

An Integrated Decision Support Model for effective Institutional Coordination Framework in Public Transportation Planning

“…Finding the appropriate strategy to resolve these issues in public transportation planning and achieve effective coordination is a complicated task that demands the expertise of a multidisciplinary team. Multi-Criteria Decision Making (MCDM) is an effective and adaptable approach for tackling public transportation planning issues (Alkharabsheh et al, 2022;Bouraima et al, 2022;Bouraima et al, 2020;Bouraima et al, 2021;Bouraima et al, 2023). The decision-making procedure often presents challenges to experts due to incomplete information and uncertainty.…”