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Desalination ◽  
2022 ◽  
Vol 523 ◽  
pp. 115446
Author(s):  
Han Cao ◽  
Yanpeng Mao ◽  
Wenlong Wang ◽  
Yibo Gao ◽  
Miaomiao Zhang ◽  
...  

Transport ◽  
2021 ◽  
Vol 0 (0) ◽  
pp. 1-12
Author(s):  
Wencheng Huang ◽  
Yue Zhang ◽  
Yifei Xu ◽  
Rui Zhang ◽  
Minhao Xu Xu ◽  
...  

In order to evaluate the URTPSQ (Urban Rail Transit Passenger Service Quality) comprehensively, find the shortage of URTPSQ, find out the difference between the actual service situation and the passenger’s expectation and demand,and provide passengers with better travel services, a passenger-oriented KANO–Entropy–TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) method is proposed and applied in this paper. Firstly, a KANO model is applied to select the service quality indicators from the 24 URTPSQ evaluation sub-indicators, according to the selection results, the KANO service quality indicators of URTPSQ are constructed. Then the sensitivity of the KANO service quality indicators based on the KANO model are calculated and ranked, the PS (Passenger Satisfaction) of each KANO service quality indicator by using the Entropy–TOPSIS method is calculated and ranked. Based on the difference between the sensitivity degree rank and the satisfaction degree rank of each KANO service quality indicator, determine the service quality KANO indicators of the URTPSQ that need to be improved significantly. A case study is conducted by taking the Chengdu subway system in China as a background. The results show that the Chengdu subway operation enterprises should pay attention to the must-be demand first, then the one-dimensional demand, finally the attractive demand. The three indicators, including transfer on the same floor in the station, service quality of staffs of urban rail transit enterprises,and cleanness in the station and passenger coach, need to be improved urgently. For the managers and operators of urban rail transit system, the passengers’ must-be demand should be satisfied first if the KANO model is applied to evaluate the service. The indicators with highest sensitivity degree and lowest TOPSIS value should be improved based on the KANO–Entropy–TOPSIS model.


2021 ◽  
Vol 0 (0) ◽  
pp. 1-23
Author(s):  
Wei-Yuan Wang ◽  
Yeh-Cheng Yang ◽  
Chun-Yueh Lin

This research presents procedures for determining the optimal solution of token exchanges platform for investors in Taiwan via integrating the best-worst method (BWM) and the technique for ordering preference by similarity to the ideal solution (TOPSIS). Firstly, this research applies the modified Delphi method to develop the perspectives and factors via literature review and experts opinion. Secondly, the BWM is implemented to obtain weights of perspectives and factors on the linear programming concept. Thirdly, the TOPSIS model is used to rank the optimal solution of the token exchange for investors or corporations. Finally, the proposed model BWMTOPSIS-based procedures will list the optimal token exchanges platform on the three token exchange platforms to investors or corporations in Taiwan on the basis of their rankings in the architecture. The proposed combination framework is able to provide academic and commerce support to investors or corporations in implementing the token into their portfolio as a valuable objective guide to determine the optimal token exchange platform.


2021 ◽  
Vol 34 (04) ◽  
pp. 1231-1242
Author(s):  
Narjes Ghaempanah ◽  
Mohammad-Taghi Rahnamaei

New towns and cities are proposed as the places for absorbing the population overflow and limiting the population growth in metropolises. In Iran, these towns and cities are built very close to the metropolises, and gradually, they are being used only as dormitories. The new town of Pardisan is built 13 kilometers southwest of Qom as the largest new town of the urban district of Qom in order to organize the residence system and absorb the population overflow of the metropolis of Qom and reduce its problems. This paper studies the function of the Pardisan new town as the absorber of the population overflow of Qom and also the residents’ satisfaction with this town. The research method adopted by this study is based on the library, documentary, and field data, and also interviews and collection of data by questionnaires and TOPSIS model. The results of this research indicate that many of the families living in the Pardisan town constitute the population overflow of the metropolis of Qom; Among the most important reasons for the migration of families to the Pardisan town is the low cost of land and residence, and 4.67 percent of the residents do not like to live in this town. This unsuccess is mostly due to lack of job and activity in this town, and therefore, the residents are less satisfied with the town.


2021 ◽  
Vol 2029 (1) ◽  
pp. 012100
Author(s):  
Y.J Shi ◽  
Y.Y Shao ◽  
Z.M Zhang ◽  
Y Jiang ◽  
L Qi

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