Assessment of Urban Mobility via a Pressure-State-Response (PSR) Model with the IVIF-AHP and FCE Methods: A Case Study of Beijing, China

Lu, Xi; Lu, Jiaqing; Yang, Xinzheng; Chen, Xumei

doi:10.3390/su14053112

Cited by 19 publications

(12 citation statements)

References 96 publications

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“…The AHP, as well as other tools based on multi-attribute utility functions such as the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), the analytic network process (ANP) and the Simple Multi-Attribute Rating Technique (SMART), has been applied in several contexts [9][10][11][12] including the fields of energy renewal [13][14][15], education [9,16,17], urban areas and mobility [18][19][20] and, more recently, health technology assessment [21][22][23][24][25][26][27] and quality improvement in the healthcare sector [11,[28][29][30][31]. From the basic AHP principles, many other hybrid approaches for multicriteria decision making have been developed such as the fuzzy AHP [32][33][34][35], aimed at handling imprecise criteria with the use of fuzzy logic [34,36], the Interval Rough AHP-Multi-Attributive Border Approximation Area Comparison (IR-AHP-MABAC) [37], aimed at treating uncertainties in group multicriteria decision-making problems, and other hybrid approaches combining the AHP with other methodologies such as AHP-fuzzy TOPSIS, fuzzy AHP-PROMETHEE or AHP-Simple Additive Weighting [38][39][40].…”

Section: Introductionmentioning

confidence: 99%

A Hybrid Analytic Hierarchy Process and Likert Scale Approach for the Quality Assessment of Medical Education Programs

Ponsiglione

Amato

Cozzolino³

et al. 2022

Mathematics

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The quality assessment of training courses is of utmost importance in the medical education field to improve the quality of the training. This work proposes a hybrid multicriteria decision-making approach based on two methodologies, a Likert scale (LS) and the analytic hierarchy process (AHP), for the quality assessment of medical education programs. On one hand, the qualitative LS method was adopted to estimate the degree of consensus on specific topics; on the other hand, the quantitative AHP technique was employed to prioritize parameters involved in complex decision-making problems. The approach was validated in a real scenario for evaluating healthcare training activities carried out at the Centre of Biotechnology of the National Hospital A.O.R.N. “A. Cardarelli” of Naples (Italy). The rational combination of the two methodologies proved to be a promising decision-making tool for decision makers to identify those aspects of a medical education program characterized by a lower user satisfaction degree (revealed by the LS) and a higher priority degree (revealed by the AHP), potentially suggesting strategies to increase the quality of the service provided and to reduce the waste of resources. The results show how this hybrid approach can provide decision makers with helpful information to select the most important characteristics of the delivered education program and to possibly improve the weakest ones, thus enhancing the whole quality of the training courses.

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Section: Introductionmentioning

confidence: 99%

A Hybrid Analytic Hierarchy Process and Likert Scale Approach for the Quality Assessment of Medical Education Programs

Ponsiglione

Amato

Cozzolino³

et al. 2022

Mathematics

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“…In the research of regional ecological vulnerability, pressure state response (Pressure State Respond, PSR) (Lu et al, 2022;Yang et al, 2021;Wu and Tang, 2022) ecological sensitivity-ecological resilienceecological pressure degree (Sensitivity Restore Pressure, SRP) (Zou et al, 2021;Chen et al, 2021;Zhang et al, 2021), natural-ecological-socio-economic system (Zhang et al, 2022;Cheng et al, 2001;Wang et al, 2011) index system and other evaluation models had been proposed. Since the PSR framework can effectively link environmental and human factors together, it is a useful indicator evaluation model, so the PSR model was used in this study.…”

Section: The Introductionmentioning

confidence: 99%

WITHDRAWN: A PCA-EM hybrid model based on the spatial pattern of ecological vulnerability and correlation study

Hou

2022

Preprint

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Ecological vulnerability reflects the ability of an ecosystem to resist adverse factors, and has become a global research hotspot. As an energy city in China and a city in the hinterland of the Loess Plateau, the study of Taiyuan's ecological vulnerability is of great importance. Most of the studies had used individual models, whose indicator weights were subject to large human factors or large compression of indicator information. In this study, an indicator evaluation system was developed based on the pressure state response (PSR). In order to overcome the shortcomings of a single model, a hybrid data processing model based on principal component analysis-entropy method (PCA-EM) was constructed in this study to study the ecological vulnerability of the area and compared with the principal component analysis model (PCA). Meanwhile, this study used Pearson correlation coefficients for analysis to evaluate the model performance and the influence of each parameter on ecological vulnerability. The research results illustrated that from 2000 to 2019, the EVI of Taiyuan showed a trend of first increasing and then gradually decreasing, indicating that it’s ecology was gradually improving. By comparing PCA method and PCA-EM method, the PCA-EM model could more objectively and reasonably evaluate the ecological environment of the region. Most of the indicators were negatively correlated with EVI, the highest correlation coefficient between per capita arable land and EVI. Furthermore, this study proposed a hybrid model to explore the ecological vulnerability status and influencing factors of the study area, providing an idea for data processing model.

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“…In terms of research methodology, this study integrated the three aspects of production, living, and ecology land pressures covering food production pressure, economic development pressure (Zhu and He, 2010), and arable land pressure (Chen et al, 2019) considered by previous research scholars. In comparison to previous fuzzy evaluation studies Lu et al, 2022), this study avoided the shortcomings of subjectivity and arbitrariness inherent in the traditional expert scoring scheme by calculating the evaluation scores of each raster cell using fuzzy mathematical methods and fuzzy rules that are more objective and easy to extend, and finally obtaining the land pressure score through weighted summation. Model validation is necessary to clarify the reliability and validity of the assessment outcomes, but only a few research have conducted it.…”

Section: Model Validation Of Land Pressurementioning

confidence: 99%

Land pressure evaluation in the Yangtze River Delta region: A perspective from production-living-ecology

Chen

Zhang

et al. 2023

Preprint

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The limited land is under unprecedented pressure from production, living and ecology. In order to evaluate the land pressure in the Yangtze River Delta region in 1995, 2000, 2005, 2010, 2015, and 2020 from the perspective of production, living, and ecology. This study builds a land pressure evaluation index system based on a fuzzy comprehensive evaluation model using multi-source and multi-scale data. In order to investigate trade-offs and synergies among production, living, and ecology pressures, we use the mechanical equilibrium model in physics. We then analyze land pressure model reliability and uncertainty using Monte Carlo simulations. The results show that (1) Our model can effectively reveal the level of land pressure and reflect the land pressure geographical pattern of “high in the east and low in the west, high in the south and low in the north” that characterizes the Yangtze River Delta region. (2) While living and ecology pressures are tending to rise, production pressures are tending to decrease. (3) Except for Shanghai, the trade-off areas are primarily concentrated in economically successful regions with high production and living pressure and low ecology pressure. The coordinated areas are primarily found in northern Jiangsu Province and northern Anhui Province.

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Assessment of Urban Mobility via a Pressure-State-Response (PSR) Model with the IVIF-AHP and FCE Methods: A Case Study of Beijing, China

Cited by 19 publications

References 96 publications

A Hybrid Analytic Hierarchy Process and Likert Scale Approach for the Quality Assessment of Medical Education Programs

A Hybrid Analytic Hierarchy Process and Likert Scale Approach for the Quality Assessment of Medical Education Programs

WITHDRAWN: A PCA-EM hybrid model based on the spatial pattern of ecological vulnerability and correlation study

Land pressure evaluation in the Yangtze River Delta region: A perspective from production-living-ecology

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