Improving the urban heritage based on a tourism risk assessment using a hybrid fuzzy MADM method: The case study of Tehran's central district

Abstract

A primary reason for the failure of renewal plans for the heritage of urban areas is ignorance of the risk factors of tourism. Urban heritage sites are valuable tourism resources and focus on tourism activities. These sites are affected by risks and negative events. Assessing tourism risks requires an in-depth knowledge of the current situation. Thus, in order to reduce the risk of tourism on urban heritage, it is necessary to assess the risk of tourist destinations. This study assesses the urban heritage of central districts in Tehran with an emphasis on tourism risk as a real case study.This study provides an in-depth review of the dimensions and criteria for evaluating tourism risks from the perspectives of social culture, environment, finance, safety and security. Fourteen criteria developed on the basis of the fuzzy decision-making trial and evaluation laboratory (FDEMATEL) method are adopted for this assessment to construct the fuzzy influential network relation map and find the fuzzy influential weights; this is known as the DEMATEL-based analysis network process (called DANP). The hybrid modified fuzzy VIKOR method is adopted to evaluate and reduce the tourism risk towards for closing the gap zero. Finally, an empirical case of Tehran city illustrates the availability and effectiveness of the proposed methods. The results revealed that safety and security risks have the greatest influence. The remaining dimensions are sociocultural, financial, and environmental risks. According to the model and the results of the risk assessment in tourism, this method is a reasonable solution for the assessment and risk analysis in real-world problems. The proposed method can be a useful tool for managers in tourism and urban planning.fuzzy DEMATEL-based ANP (fuzzy DANP), fuzzy influence network relationship map (FINRM), fuzzy modified VIKOR, fuzzy multiple-attribute decision-making (FMADM), tourism risk assessment, urban heritage | INTRODUCTIONIn the early 1990s, due to the introduction of globalisation, widespread communications and travel, and the rise of tourism, had an impact on urban areas. Since the potential for tourism points to a means for economic development, especially in the local economy, national governments, local governments, and city-planners emphasize tourism as a critical factor in the regeneration of urban areas, which leads to urban development and, consequently, regional and national development. One feature found in urban tourism area is

Exploring Hotel Appraisal Determinants Amid Sales Trend During Covid-19 Pandemic: Using a Danp-Mv Model

“…However, various factors influence hotel appraisal efficiency or accuracy, such as appraiser morals, approaches, and market impact. Future studies should focus on these variables and manage the linguistic ambiguity using the techniques, such as IF-MADM (Zhuang et al, 2018) and Fuzzy MCDM (Hosseini et al, 2021).…”

A hybrid multi‐criteria decision‐making approach to evaluate interrelationships and impacts of supply chain performance factors on pharmaceutical industry

“…BWM has been widely applied in many fields such as in supply chain management, risk analysis, biology, automotive, sustainability, supplier selection, performance evaluation, manufacturing, logistics, airfreight transportation, telecommunications technologies, and so forth (Malek & Desai, 2019). Some of these papers are in mobile phone selection (Rezaei, 2015); in supplier selection, outsourcing partner, and their segmentation (Gupta & Barua, 2017;Lo et al, 2018;Rezaei et al, 2015Rezaei et al, , 2016Prakash and Archana, 2018); tourism risk assessment (Hosseini et al, 2021); Ranking of the barriers for energy efficiency in buildings ; Sustainable innovation management criteria in manufacturing companies (Kusi-Sarpong et al, 2019); Ranking of challenges to transportation for sustainable food supply (Sharma et al, 2019); and efficiency indicator prioritisation (Neves et al, 2022). Gabus and Fontela (1972) developed the decision-making trial and evaluation laboratory (DEMATEL).…”

Importance Analysis of System Related Fault Based on Improved Decision-Making Trial and Evaluation Laboratory

“…Chen, Jih-Kuang (2021) [6] ISM Determined the threshold by the maximum mean de-entropy method and an additional transitivity check procedure Lopez, DS et al (2021) [7] Rough set theory A systematic evaluation and analysis approach under ambiguity is proposed for evaluating, analyzing, and measuring aspects of internal healthcare performance Li, JS, Xu, KL. (2021) [8] CM Established evaluation index model by identifying relevant hazards of converter steelmaking system You, XL, Hou, FJ (2021) [9] HFLTS Proposed expert weights model based on the similarity and entropy of HFLTSs and introduced the consensus reaching process Ortiz-Barrios, M et al (2021) [10] FAHP Exploited the advantages of FAHP, DEMATEL methods for evaluating performances of GDs Kou, G, et al (2021) [11] fuzzy TOPSIS [14] FCM Help BIM user companies improve their BIM software selection framework and decision-making process during software purchases El-Garaihy, WH (2021) [15] DEA BSC Determined the relationship between the four dimensions of the BSC by identifying supply chain metrics and applying the DEMATEL approach Cui, HY, et al (2021) [16] QFD MOORA Defined green supply chain criteria for each stage of QFD and build IVIF-DEMATEL and IVIF-MOORA hybrid models Hosseini, A, et al (2021) [17] VIKOR Based on Analytical network process of DEMATEL. Using a Hybrid Modified Fuzzy VIKOR Approach to assess and mitigate tourism risks to close the gap Tsuei, HJ, et al (2020) [18] VIKOR Built a decision model of search engine ranking for administrators to improve the performances of websites that satisfy users' needs Li, TC, et al (2020) [19] GRNN Based on the data of my country's marine engineering equipment industry, the grounded theory, and identifying the key influencing factors Pourjavad, E, Shahin, A (2020) [20] AHP TOPSIS Developed by integrating fuzzy DEMATEL, fuzzy hierarchical analysis and by preference order techniques similar to the ideal solution TOPSIS method Chen, TL, et al (2020) [21] VIKOR Help decision makers choose the most appropriate design solution; designers can also improve the gap between product design and expectations Rostamnezhad, M, et al (2020) [22] SD Quantified the importance of the various influencing factors, Considered their complex interactions Titiyal, R, et al (2020) [23] DANP Investigated the relationship between performance levels and performance aspects and calculated their weights Gul, S. (2020) [24] Spherical fuzzy set…”

“…The two are interrelated and complementary to each other. Therefore, through the combination analysis of center degree and cause degree, the importance value 𝑤𝑤 𝑖𝑖 of system related fault components is obtained, as shown in formula (17). Then the importance of related fault components is sorted.…”

“…According to the importance formula (17), we sorted the importance of the related faults of the machining center, as shown in Table 9.…”