“…Compared to multiple regression models, SEM can model unobserved latent variables and estimate the relationships between multiple latent variables, including direct and indirect effects. In addition, Yang et al (2022) established a Bayesian network to analyze the influencing factors of travel satisfaction; Zhang et al (2022) combined a gradient boosting decision tree to identify the nonlinear impact of service quality on satisfaction.…”
With the continuous development of urban agglomerations, higher demands are placed on intercity public transport travel services. To improve these services, it is necessary to comprehensively understand the views and evaluations of travelers. Taking the Guanzhong Plain urban agglomeration in China as the object, this study explores subjective attitude indicators from self-administrated survey data and examines the relationship among perceived accessibility, preference, and satisfaction for intercity public transport using a structural equation model. The results show that perceived service quality has a direct positive impact on perceived accessibility and satisfaction. Perceived accessibility and preference significantly affect satisfaction. In addition, perceived accessibility mediates the effect of service quality on satisfaction. This study provides valuable insights from a policy perspective to improve the subjective evaluation of intercity public transport travelers while emphasizing the importance of subjective variables in transport system evaluation and advocates for their subdivision to more comprehensively improve travel experience.
“…Compared to multiple regression models, SEM can model unobserved latent variables and estimate the relationships between multiple latent variables, including direct and indirect effects. In addition, Yang et al (2022) established a Bayesian network to analyze the influencing factors of travel satisfaction; Zhang et al (2022) combined a gradient boosting decision tree to identify the nonlinear impact of service quality on satisfaction.…”
With the continuous development of urban agglomerations, higher demands are placed on intercity public transport travel services. To improve these services, it is necessary to comprehensively understand the views and evaluations of travelers. Taking the Guanzhong Plain urban agglomeration in China as the object, this study explores subjective attitude indicators from self-administrated survey data and examines the relationship among perceived accessibility, preference, and satisfaction for intercity public transport using a structural equation model. The results show that perceived service quality has a direct positive impact on perceived accessibility and satisfaction. Perceived accessibility and preference significantly affect satisfaction. In addition, perceived accessibility mediates the effect of service quality on satisfaction. This study provides valuable insights from a policy perspective to improve the subjective evaluation of intercity public transport travelers while emphasizing the importance of subjective variables in transport system evaluation and advocates for their subdivision to more comprehensively improve travel experience.
“…The study highlights the importance of timely and efficient baggage delivery, as well as the role of customer participation in mitigating the negative effects of service failure. [20][21][22][23][24] Li, Y., Li, X., Li, Y., & Li, Y. (2021) examines the effect of service quality on passenger satisfaction and loyalty in China's airline industry.…”
Section: Issues In Delayed Baggage On Arrivalmentioning
This research paper examines the variables that impact airline service quality for post-flight services provided to passengers at their destination. The study identifies factors like delayed baggage, poor baggage handling, inadequate customer service, lack of information, and confusing airport layouts as critical variables that significantly affect customer satisfaction. The paper emphasizes that airlines and airports must address these service-related issues to provide passengers with a positive travel experience, particularly during disruptions. To improve post-flight service quality, airlines should focus on reducing delayed bags and enhancing baggage handling procedures. Clear communication with customers, prompt updates on baggage status, offering compensation for poor handling, efficient problem resolution, staff training, clear signage, straightforward layout, easy access to baggage information, and implementing baggage tracking systems can significantly improve post-flight service quality. Airlines can provide a better customer experience by addressing these variables, leading to increased loyalty and positive word of mouth.
“…Promotional strategy optimization might be helpful if it is backed by organized planning [1], [2]. The launch of products or services to the public is marked by promotional methods, which are crucial since they tie into the advantages that the business will experience [3], [4].…”
To enhance sales, organizations must improve the alignment of their promotional tactics. Enterprises have the ability to promote their goods in locations where there is demand for them. Facilitating the delivery of the goods would enhance the ease with which clients can carry out their purchases and sales transactions. A corporation's ability to strategically allocate its goods enables it to expand its operations. Prospective clients have a greater array of choices at their disposal than the total number of enterprises operating within the same sector. This is accomplished by using a diverse range of promotional media to enhance the sales of products and services. Optimizing promotional strategies is the first and critical stage in presenting items to clients, as it directly impacts the benefits that the firm will get. So far, the sales process has not been affected by the promotional method. The objective of this research was to use the K-Means Clustering algorithm in a data mining procedure to optimize the categorization of customer data, CRISP-DM is used for the purpose of comprehending and preparing data, constructing models, evaluating them, and deploying them. The CRISP-DM method is employed specifically for the construction of clusters. A non-hierarchical clustering technique called K-Means divides data into many groups according on how similar they are. The program facilitates the determination of appropriate location mapping for promotional purposes. The study results may serve as a foundation for decision-making in order to maximize promotional techniques, using the generated clusters.
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