Abstract:Abstract:As a sustainable means of public transportation, urban rail transit system undergoes rapid expansion in China. How to provide a safe and reliable service has been the subject of growing attention in this context. However, such work is challenging because rail transit systems are quite vulnerable and influenced by a set of interacting factors. Studying these vulnerability factors will contribute significantly to the operation of rail transit system. From this perspective, this paper made an exploration… Show more
“…There have been studies on the integration of AHP and ISM [39][40][41], or the integration of ISM and MICMAC [43,44], but rarely on the integration of AHP, ISM, and MICMAC. By comparison, the proposed integration in this research was not only to identify sustainability influencing factors of rural last mile delivery, but also to understand the driving power and dependence and the relationships between different sustainability influencing factors.…”
Section: Discussionmentioning
confidence: 99%
“…However, the shortcoming of the ISM is its subjectivity, as the determination of the key factors depends on experience. Some scholars have proposed analyzing the influencing factors by integrating an ISM and AHP; Tian studied the affecting factors of risks in the workplace [39], Duleba analyzed the connecting factors in a public transport system [40], and Song revealed the vulnerability factors of an urban rail transit system [41]. First, the AHP is used to establish the hierarchical impact factors and then the ISM is used to find the hierarchical relationships among the influencing factors.…”
The development of rural e-commerce has rapidly driven the development of rural logistics in China. Improving the service quality of the last mile delivery is an important measure to promote the sustainable development of rural e-commerce logistics. However, such work is challenging because the current rural last mile delivery is inefficient and unsustainable and is influenced by a set of interacting factors. It is necessary to explore the relationships among the sustainability influencing factors of rural last mile delivery. A total of 15 sustainability influencing factors are selected. The improved fuzzy analytic hierarchy process (FAHP) is used to assign the weights of the factors and then the interpretative structural model (ISM) is used to determine the hierarchical structure of each factor. The driving force-dependency quadrant graph is constructed by cross-impact matrix multiplication (MICMAC). The research results show that four factors, including “convenience of returning goods”, “integrity of goods”, “advance reservation of goods pickup”, and “delivery costs”, are the most basic factors affecting the sustainability of rural last mile delivery and are the deepest and most indispensable factors. This research provides valuable information for decision makers to develop proactive strategies and reinforcement policies to improve the service quality of rural last mile delivery, which could promote the sustainable development of rural logistics.
“…There have been studies on the integration of AHP and ISM [39][40][41], or the integration of ISM and MICMAC [43,44], but rarely on the integration of AHP, ISM, and MICMAC. By comparison, the proposed integration in this research was not only to identify sustainability influencing factors of rural last mile delivery, but also to understand the driving power and dependence and the relationships between different sustainability influencing factors.…”
Section: Discussionmentioning
confidence: 99%
“…However, the shortcoming of the ISM is its subjectivity, as the determination of the key factors depends on experience. Some scholars have proposed analyzing the influencing factors by integrating an ISM and AHP; Tian studied the affecting factors of risks in the workplace [39], Duleba analyzed the connecting factors in a public transport system [40], and Song revealed the vulnerability factors of an urban rail transit system [41]. First, the AHP is used to establish the hierarchical impact factors and then the ISM is used to find the hierarchical relationships among the influencing factors.…”
The development of rural e-commerce has rapidly driven the development of rural logistics in China. Improving the service quality of the last mile delivery is an important measure to promote the sustainable development of rural e-commerce logistics. However, such work is challenging because the current rural last mile delivery is inefficient and unsustainable and is influenced by a set of interacting factors. It is necessary to explore the relationships among the sustainability influencing factors of rural last mile delivery. A total of 15 sustainability influencing factors are selected. The improved fuzzy analytic hierarchy process (FAHP) is used to assign the weights of the factors and then the interpretative structural model (ISM) is used to determine the hierarchical structure of each factor. The driving force-dependency quadrant graph is constructed by cross-impact matrix multiplication (MICMAC). The research results show that four factors, including “convenience of returning goods”, “integrity of goods”, “advance reservation of goods pickup”, and “delivery costs”, are the most basic factors affecting the sustainability of rural last mile delivery and are the deepest and most indispensable factors. This research provides valuable information for decision makers to develop proactive strategies and reinforcement policies to improve the service quality of rural last mile delivery, which could promote the sustainable development of rural logistics.
“…With an aim to improve safety performance, Li et al [17] established a metro operation hazard network model to analyze the interactions among metro operation hazards. Song et al [18] proposed an AHP-ISM-based framework to explore the vulnerability factors of the metro system. eir findings provide deep insights into the knowledge and perception about metro operation safety.…”
Metro plays an indispensable role in promoting social and economic development of the big cities. However, the safety operation of the metro system is believed to be an arduous work for its operation being susceptible to various factors, especially equipment failure, which could bring about delay, interruption, and even accidents. In consideration of the seriousness of metro accident, it is becoming more and more crucial to conduct proactive, targeted, and effective risk management to reduce failures. Firstly, based on the FMECA and influence diagram theory, this paper proposes a new analytical framework to study metro equipment failure in accordance with system decomposition. Furthermore, a case study is implemented to verify the feasibility and availability of this framework in evaluating criticality of failure modes and assessing its influence factors based on the collected data from metro operation company. As indicated by the research results, wheel damage is the most serious failure mode in the bogie system, and its most paramount influence factor is the shortage of professional skills. Finally, a discussion about the research methods and results is carried out, and several recommendations are put forward to improve safety management on the basis of research findings. This study has the potential to offer suggestions in regard to metro equipment design, operation, and maintenance for raising the safety level in metro operation.
“…AHP is a structured technique for organizing and analyzing complex decisions. It provides a comprehensive and rational framework for group decision making and is widely used around the world [26]. However, the disadvantage of AHP is that it is influenced easily by expert knowledge and experience or the preferences of decision makers.…”
The safety of dangerous goods transport by air is directly related to human health and environmental pollution. This paper investigates a model to evaluate the safety performance of the transport of dangerous goods by air carriers. Based on a literature review, international regulations related to dangerous goods air transportation, and expert opinions, this paper identifies an assessment factor system with five drivers: organization/regulations, equipment/facilities, operations, emergency, and training. A hybrid evaluation method of a joint analytical hierarchy process and entropy weight is used to determine the importance of each factor and driver. The results suggest that the regulation of dangerous goods acceptance, sufficient equipment/facilities, and the condition of the equipment/facilities are the most important factors affecting the safety performance of dangerous goods transportation by air. An empirical study reveals that the proposed model is stable and reliable; thus, the model can guide resource allocation for air carriers to improve safety management of dangerous goods transportation.
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