...
首页> 外文期刊>European Transport Research Review >Evolving base for the fuel consumption optimization in Indian air transport: application of structural equation modeling
【24h】

Evolving base for the fuel consumption optimization in Indian air transport: application of structural equation modeling

机译:印度航空运输中油耗优化的不断发展的基础:结构方程模型的应用

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

Introduction The article aims to evolve the base for fuel consumption optimization (FCO) in Indian air transport industry. The objective of this paper is to design the methodology and to develop five facet model of fuel consumption optimization (FCO). Limited researches have been conducted to explore influencing factors for FCO in air transport industry. To fill this gap, this study proposes the model of FCO, and investigates key factors affecting FCO. Methodology The research steps included exploratory factor analysis, confirmatory factor analysis, and testing of structural model. In the first stage exploratory factor analysis (EFA) was used to provide the grouping of variables underline the complete set of item based upon the strong correlation. In the second stage, a confirmatory factor analysis (CFA) was used to specify and estimate of one or more hypothetical models of factor structure, each of which propose a set of latent variables to account for covariance within a set of observed variables. In the third stage, we used the Structural Equation Modeling (SEM) technique and empirically tested the relationships between fuel consumption optimization and aircraft operations (AO), aircraft technology & design (ATD), social-economic & political (SEP), aviation infrastructural (AI), and alternate fuels & fuel properties (AFP). Results The results and applications of structural equation modeling (SEM) evolve variety of findings. (1) Aircraft operations (AO), aircraft technology & design (ATD), socio-economic & political issues (SEP), aviation infrastructure (AI), and alternative fuels & fuel properties (AFP) are proved to be the five key influence factors with respect to the Indian context and have positive effect on FCO. (2) Among the five influence factors for FCO, aircraft technology & design exhibits the strongest effect on FCO, followed by aircraft operation, alternative fuels & fuel properties, socio-economic & political, and aviation infrastructure. (3) The highest squared correlation was observed between aircraft technology & design and aircraft operations. Conclusions and future work This study has provided empirical justification for the proposed research framework which describes the relationships between FCO and its dimensions. This has developed an integrated model of FCO, with the purposes of identifying the key factors affecting the FCO. The knowledge of relationship among variables can lead to frame objective function, constraints, and set of equations pertaining situations with regard to Indian scenario. To constitute the equations the data of identified critical factors with regard to Indian scenario can be utilized which will lead to develop optimization based model for fuel consumption that leaves the scope for further study. This study produces the results which represent the base for optimum solution of fuel consumption on which future researchers can target.
机译:简介本文旨在为印度航空运输业发展油耗优化(FCO)的基础。本文的目的是设计方法并开发燃油消耗优化(FCO)的五个方面的模型。已经进行了有限的研究来探索航空运输业中FCO的影响因素。为了填补这一空白,本研究提出了FCO模型,并研究了影响FCO的关键因素。方法论研究步骤包括探索性因素分析,确认性因素分析和结构模型测试。在第一阶段,探索性因素分析(EFA)用于基于强相关性对变量进行分组,以强调完整的项目集。在第二阶段,使用验证性因子分析(CFA)来指定和估计一个或多个因子结构的假设模型,每个模型都提出了一组潜在变量来解释一组观测变量中的协方差。在第三阶段,我们使用了结构方程建模(SEM)技术,并通过经验测试了油耗优化与飞机运行(AO),飞机技术与设计(ATD),社会经济与政治(SEP),航空基础设施之间的关系(AI),以及替代燃料和燃料特性(AFP)。结果结构方程模型(SEM)的结果和应用演变出各种发现。 (1)事实证明,飞机运营(AO),飞机技术与设计(ATD),社会经济与政治问题(SEP),航空基础设施(AI)以及替代燃料与燃料特性(AFP)是五个关键影响因素印度方面的因素,对FCO产生积极影响。 (2)在FCO的五个影响因素中,飞机技术和设计对FCO的影响最大,其次是飞机运行,代用燃料和燃料特性,社会经济和政治以及航空基础设施。 (3)飞机技术与设计与飞机运行之间的平方相关性最高。结论和未来的工作本研究为拟议的研究框架提供了实证依据,该框架描述了FCO及其规模之间的关系。这已经开发了FCO的集成模型,目的是确定影响FCO的关键因素。变量之间关系的知识可以导致框架目标函数,约束以及与印度情景相关的与情境有关的方程组。为了构成方程式,可以利用已确定的与印度情景有关的关键因素的数据,这将导致开发基于优化的油耗模型,从而有待进一步研究。这项研究产生的结果代表了未来研究人员可以针对的最佳燃油消耗解决方案的基础。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号