Route choice model based on cellular automata and cumulative prospect theory: Case analysis of transportation network in Sichuan-Tibet region

Xu, Junxiang; Guo, Jingni; Zhang, Jin; Liu, Weihua; Ma, Hui

doi:10.3233/jifs-201578

Cited by 4 publications

(3 citation statements)

References 23 publications

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“…In order to solve the optimal selection problems of renewable power sources (RPS) used in China, Wu et al ( 2018 ) utilized a fuzzy MCDM technique based on CPT method under an uncertain environment. Xu et al ( 2021 ) proposed a new method based on CPT and cellular automata which was applied to establish the travel route choice model and analyze the characteristics of travelers with bounded rational travel behavior. For the site selection problems of photovoltaic power plants, Liu et al ( 2017 ) employed the gray CPT method to study and analyze from the perspective of sustainability.…”

Section: Introductionmentioning

confidence: 99%

Selection of plastic solid waste treatment technology based on cumulative prospect theory and fuzzy DEMATEL

Mao

Chen

et al. 2023

Environ Sci Pollut Res

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Under the global implementation of a low-carbon economy, the treatment of municipal plastic solid waste (PSW) has become an important task to be solved urgently. In the actual decision-making process of PSW treatment, the evaluation information is usually fuzzy, and the decision-makers (DMs) are bounded rational. For selecting the most appropriate PSW treatment technology, we propose a multi-criteria decision-making (MCDM) method based on cumulative prospect theory and fuzzy decision-making trail and evaluation laboratory (DEMATEL). Firstly, we construct the criteria system of PSW treatment that consists of 9 sub-criteria from the perspectives of environment, economy, society, and technology. Then, considering the interdependences and interactions between these evaluation criteria and allowing multiple stakeholders to participate in decision-making, we propose a fuzzy DEMATEL method to deal with the fuzziness of evaluation in the decision-making process and determine the weights of the evaluation criteria. Subsequently, taking into account the different opinions of different stakeholders and psychological factors such as risk preference and loss aversion of stakeholders, we aggregate the evaluation information of different stakeholders and develop the PSW treatment alternatives to rank the orders by using the proposed multi-actor cumulative prospect theory (CPT) method. We study seven alternative processes for PSW treatment by the developed model, including landfill, recycling, pyrolysis, incineration, and the combination of landfilling and recycling, landfill and incineration, and recycling and pyrolysis. According to the ranking results, we find the combination of recycling and incineration is the best treatment alternative. We take the seven PSW treatment technologies in Shanghai as the case study to verify the effectiveness and feasibility of the proposed method. Through the sensitivity analysis and comparison analysis with fuzzy similarity to ideal solution (FTOPSIS) method and an acronym in Portuguese of the interactive and multi-criteria decision-making (TODIM) method, we illustrate the effectiveness and superiority of the proposed method. This research provides significant references for the PSW treatment technology selection problems under uncertain environments and extends the methods in the decision-making field.

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Section: Introductionmentioning

confidence: 99%

Selection of plastic solid waste treatment technology based on cumulative prospect theory and fuzzy DEMATEL

Mao

Chen

et al. 2023

Environ Sci Pollut Res

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“…(2014a, b) developed a risk-decision analysis method based on CPT to solve the problem of emergency response of a disaster on the basis of considering the psychological behaviors of DMs. Xu et al. (2021) established a travel path selection model based on CPT and cellular automata and analyzed the impact of bounded rational travel behavior on path selection.…”

Section: Introductionmentioning

confidence: 99%

“…Xu et al (2021) established a travel path selection model based on CPT and cellular automata and analyzed the impact of bounded rational travel behavior on path selection Zhao et al (2021). put forward TOMID method based on CPT and the Pythagorean fuzzy sets (PFSs) and demonstrated the feasibility of risk assessment model of science and technology project Wu et al (2018).…”

mentioning

confidence: 99%

Emergency plan selection for epidemic prevention and control based on cumulative prospect theory and hybrid-information MADM

Mao

Chen

et al. 2022

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PurposeDecision-making problems in emergency plan selection for epidemic prevention and control (EPAC) are generally characterized by risky and uncertainty due to multiple possible emergency states and vagueness of decision information. In the process of emergency plan selection for EPAC, it is necessary to consider several obvious features, i.e. different states of epidemics, dynamic evolvement process of epidemics and decision-makers' (DMs') psychological factors such as risk preference and loss aversion.Design/methodology/approachIn this paper, a novel decision-making method based on cumulative prospect theory (CPT) is proposed to solve emergency plan selection of an epidemic problem, which is generally regarded as hybrid-information multi-attribute decision-making (HI-MADM) problems in major epidemics. Initially, considering the psychological factors of DMs, the expectations of DMs are chosen as reference points to normalize the expectation vectors and decision information with three different formats. Subsequently, the matrix of gains and losses is established according to the reference points. Furthermore, the prospect value of each alternative is obtained and the comprehensive prospect values of alternatives under different states are calculated. Accordingly, the ranking of alternatives can be obtained.FindingsThe validity and robustness of the proposed method are demonstrated by a case calculation of emergency plan selection. Meanwhile, sensitivity analysis and comparison analysis with fuzzy similarity to ideal solution (FTOPSIS) method and TODIM (an acronym in Portuguese for interactive and MADM) method illustrate the effectiveness and superiority of the proposed method.Originality/valueAn emergency plan selection method is proposed for EPAC based on CPT, taking into account the psychological factors of DMs.HighlightsThis paper proposes a new CPT-based EDM method for EPAC under a major epidemic considering the psychological factorsof DMs, such as risk preference, loss aversion and so on.The authors' work gives approaches of normalization, comparison and distance measurement for dealing with the integration of three hybrid formats of attributes.This article gives some guidance, which contributes to solve the problems of risk-based hybrid multi-attribute EDM.The authors illustrate the advantages of the proposed method by a sensitivity analysis and comparison analysis with existing FTOPSIS method and TODIM method.

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Flood inundation evolution of barrier lake and evaluation of regional ecological spatiotemporal response—a case study of Sichuan-Tibet region

Jiang

Dai

Xie

et al. 2022

Environ Sci Pollut Res

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Route choice model based on cellular automata and cumulative prospect theory: Case analysis of transportation network in Sichuan-Tibet region

Cited by 4 publications

References 23 publications

Selection of plastic solid waste treatment technology based on cumulative prospect theory and fuzzy DEMATEL

Selection of plastic solid waste treatment technology based on cumulative prospect theory and fuzzy DEMATEL

Emergency plan selection for epidemic prevention and control based on cumulative prospect theory and hybrid-information MADM

Flood inundation evolution of barrier lake and evaluation of regional ecological spatiotemporal response—a case study of Sichuan-Tibet region

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