A fuzzy Delphi-AHP-TOPSIS framework to identify barriers in big data analytics adoption: case of maritime organizations

ABSTRACT

Big data analytics has prospered in recent years and has triggered revolutionary changes in various industries. However, its adoption in maritime organizations is relatively lagged and there is no study addressing this phenomenon so far. This paper develops a fuzzy Delphi-AHP-TOPSIS framework to identify barriers in emerging technology adoption. A case study employs this framework to investigate the hurdles for big data analytics to be adopted in the maritime industry. The case study shows that the framework is useful in identifying and ranking barriers. The results unveil the most serious managerial, cultural, and technical barriers that impede the adoption of big data analytics in maritime organizations.     

Site selection for EVCS in Istanbul by GIS and multi-criteria decision-making

Considering the depletion of fossil fuels and the environmental impact of transport, reducing the use of such fuels is a globally accepted priority. Thus, when moving towards alternative energy types, the first will undoubtedly be electrical energy. In order to accelerate and contribute to this process, electric vehicles (EV) must be preferred over conventional motor vehicles. However, there are various problems associated with the use of EVs, such as range and recharge status. Optimal planning of electric vehicle charging stations (EVCS) is a solution to these problems. For this purpose, parameters affecting EVCS locations have been determined in the paper. Considering these parameters and the current EVCS locations, the most suitable alternative EVCS locations were identified using Geographical Information Systems (GIS). Both the current and alternative EVCS locations were evaluated by Analytic Hierarchy Process (AHP), Preference Ranking Organization Method for Enrichment of Evaluations (PROMETHEE), and VlseKriterijuska Optimizacija I Komoromisno Resenje (VIKOR) from multi-criteria decision-making (MCDM) methods. The results show that, in Istanbul, the southeast of the European side and the southwest of the Anatolian side were most suitable for EVCS.     

基于组合赋权-VIKOR 的地铁站 内涝风险评估

为有效地降低和预防地铁站内涝事故的发生,提出基于组合赋权-VIKOR 的地铁站内涝风险评估。首先,从地铁站降雨情况、挡水能力、排水能力、安全疏散和安全管理 5 个方面,构建风险评价指标体系;然后,用博弈论思想,将层次分析法与 CRITIC 法所求得的权重进行优化重组;最后,应用 VIKOR 方法的利益值,确定地铁站内涝风险评估等级。将所建立的模型应用于广州地铁 13 号线地铁站的内涝风险评价中,得出各地铁站的内涝风险等级,结果表明南岗站处于内涝高风险水平,并通过制定有针对性措施,保障该地铁站汛期的安全运营。该方法的评估结果与实际情况相符,为地铁站内涝风险评估提供一种新的方法。     

基于前景理论和直觉模糊集的编组站布局调整决策研究

为提升编组站布局调整方案的决策水平,考虑未来不同的运输需求增长状态对决策者行为心理的影响,提出基于前景理论与直觉模糊集的编组站布局调整决策模型。首先,构建编组站布局调整方案比选指标体系,涵盖空间分布的合理性、适应性、协调性、对社会的影响、经济性5个指标层;其次,利用直觉模糊集表征决策者对方案属性的主观评价值及犹豫度,并构造得分函数得到方案属性的综合得分值;然后,引入前景理论考虑决策者在不同运输需求增长状态下的不确定型偏好,结合灰靶决策理论构造三参照点计算编组站布局调整方案的综合前景价值;最后采用VIKOR决策方法对方案进行优选。通过某枢纽编组站布局调整实例,研究结果表明,A2为最优调整方案,与实际确定方案相吻合,验证了决策模型的有效性和实用性。     

基于改进VIKOR算法的现代有轨电车线网规划研究

近年来,我国城市不断增加的机动车保有量,引发了严重的城市交通问题,当前急需引进新的交通方式,以减少交通拥堵、改善城市环境.相比昂贵的地铁系统,现代有轨电车满足价格合理、绿色环保、方便快捷的城市要求,逐渐在各大城市推广使用.考虑到其建成后难以改动的特点,则做好线网规划方案显得尤为重要.本文以某一具体城市线网规划为背景,通过建立现代有轨电车线网方案优选的指标体系,兼顾主客观因素,运用蒙特卡洛和熵值赋权的组合赋权方法确定指标体系的权重,提出了基于改进赋权方法的VIKOR模型,对城市有轨电车线网规划方案进行优选,为现代有轨电车提供合理的线网规划方案.     

基于VIKOR 的多主体出租汽车客运服务质量评价

为了检验政府监管人员、企业管理者、驾驶员、乘客四类不同出租汽车客运参与主体服务质量评价的一致性,以SERVPERF模型为基础,经过修正后构建了4 大类17 个出租汽车客运服务质量评价指标,开展了杭州市出租汽车客运服务质量问卷调查,采用VIKOR方法进行了不同主体的出租汽车客运服务质量评价排序,以乘客评价结果为参照,发现政府监管人员、企业管理者、驾驶员对出租汽车客运服务质量评价偏高,其中驾驶员最为明显.结果表明,将SERVPERF模型与VIKOR方法相结合用于出租汽车客运服务质量评价排序有效,消除驾驶员的自满倾向对提高出租汽车客运服务质量有意义.