Evaluation Analysis and Recommendations for the Development of the Menda Railway Site Based on TOPSIS Model

Abstract

In order to realize the goal of “building up mobile homestays among lucid waters and lush mountains”, the Mentougou District of Beijing wants to plan the surrounding area with the theme of “One Line and Four Mines” in the west of Beijing. In order to comply with the requirement of “one station, one scene”, 12 railway stations need to be planned and developed in different directions, So the station development needs to be evaluated and analyzed first. In this study, the entropy weight method and the TOPSIS (technique for order preference by similarity to an ideal solution) method are comprehensively used to establish indicators from five aspects: natural potential, mining heritage potential, social potential, traffic potential and tourism potential, and to evaluate the development decision of 12 railway stations of the Menda Railway. The tourism development direction and development importance of abandoned railway stations are decided from the horizontal and vertical dimensions, and the results of the TOPSIS model are expanded beyond the numerical value itself. On this basis, this study also combined with the existing situation of each site, and gave suggestions on the development planning of each site.

A Study on Cultural Context Perception in Huizhou Cultural and Ecological Reserve Based on Multi-Criteria Decision Analysis

“…Gursoy Dogan et al explored the dimensions of heritage tourism experience based on a travel sharing website [42]; Qiu Qihang et al used content analysis based on Sina Weibo to study structure of the cognitive elements of non-heritage tourism and their interrelationships [43]. In terms of research methods, TOPSIS [35,44,45], content analysis [41,43], BWM [46], factorial clustering [47], structural equation modeling [37], AHP [44,48,49], and entropy value method [45] were mainly used to carry out the research. For example, Xie used AHP to calculate tourist perceived service quality indicators in tourist attractions and proposed countermeasures to increase tourist return visits and improve tourism management performance [48].…”