An Integrated Multicriteria Decision-Making Approach to Evaluate Traveler Modes’ Priority: An Application to Peshawar, Pakistan

Farooq, Asim; Stoilova, Svetla; Ahmad, Firoz; Alam, Mansaf; Nassar, Hassan; Qaiser, Tanveer; Iqbal, Kamran; Qadir, Abdul; Ahmad, Mahmood

doi:10.1155/2021/5564286

Cited by 6 publications

(2 citation statements)

References 35 publications

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“…Farooq et al [83] used the AHP with geographic information system (GIS) data to determine the optimal transit choice. In addition to using the best-worst method (BWM) and PROMETHEE II approach, researchers [84] have used GIS data and strengths, weaknesses, opportunities, and threats (SWOT) analyses to ascertain the optimal transportation mode in Peshawar.…”

Section: Multi-criteria Decision-making In Scsmentioning

confidence: 99%

Analysis of the Barriers to Smart City Development Using DEMATEL

Makki,

Alqahtani

2024

Urban Science

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This study analyzes the barriers to developing smart cities (SCs) using the decision-making trial and evaluation laboratory (DEMATEL) approach. The primary objective is to identify, classify, and assess the main barriers hindering the progress of SCs. Through an extensive literature review, twelve main barriers were identified. The DEMATEL approach models and analyzes the relationships among these barriers based on expert input. The results reveal that technical problems, a lack of infrastructure, and high costs are classified as cause barriers. Security and privacy concerns and the absence of coordinated planning are classified as effect barriers. This study emphasizes the need for established criteria and iterative development requirements. Although the influence of knowledge and skills gaps and a lack of awareness is less significant, these aspects still require attention. The findings suggest that a comprehensive approach focusing on technical solutions, infrastructure development, strategic planning, and cybersecurity measures can effectively overcome barriers. Regular evaluation of barrier dynamics is crucial for implementing adaptive measures. The results provide decision-makers with a valuable model to address the challenges and foster the efforts of SC stakeholders.

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Section: Multi-criteria Decision-making In Scsmentioning

confidence: 99%

Analysis of the Barriers to Smart City Development Using DEMATEL

Makki,

Alqahtani

2024

Urban Science

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“…Farooq et al (2018) explored with AHP MCDM method along with the geographic information system (GIS) data to decide the best transportation alternative. Researchers (Farooq et al, 2021) have also applied GIS and SWOT analysis in addition to based evaluation method (BEM) and PROMETHEE II method to determine the most suitable mode of transport in Peshawar city.…”

Section: Multi Criteria Decision-making (Mcdm)mentioning

confidence: 99%

A novel ensemble approach based on MCC and MCDM methods for prioritizing tweets mentioning urban issues in smart city

Yenkar

Sawarkar

2022

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PurposeSocial media platform, like Twitter, has increasingly become the mode of reporting civic issues owing to their vast and fast reachability. A tremendous amount of information on urban issues is shared every moment out of which some tweets may need immediate attention to save lives or avoid future disasters. Existing approaches are only limited to the identification of complaint tweets; however, its prioritization based on urgency is still unexplored. This study aims to decide the ranking of complaints based on its criticality derived using multiple parameters, like type of complaint, season, day or night, gender, holiday or working day, etc.Design/methodology/approachThe approach proposes an ensemble of multi-class classification (MCC) and “two-level” multi-criteria decision-making (MCDM) algorithms, like AHP and TOPSIS, to evaluate the accurate ranking score of the tweet based on the severity of the issue. Initially, the MCC is applied to tweets to categorize the tweets into three categories, i.e. moderate, urgent and immediate. Further, the first level of MCDM algorithm decides the ranking within each complaint type, and the second level evaluates the ranking across all types. Integration of MCC and MCDM methods further helps to increase the accuracy of the result.FindingsThe paper discusses various parameters and investigates how their combination plays a significant role in deciding the priority of complaints. It successfully demonstrates that MCDM techniques are helpful in generating the ranking score of tweets based on various criteria.Originality/valueThis paper fulfills an identified need to prioritize the complaint tweet which helps the local government to take time-bound actions and save a life.

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