Adopting a Middleware for Self-adaptation in the Development of a Smart Travel System

Sabatucci, Luca; Cavaleri, Antonella; Cossentino, Massimo

doi:10.1007/978-3-319-39345-2_60

Cited by 7 publications

(3 citation statements)

References 9 publications

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“…According to the current development of sharing mode, many scholars have made further reflections based on the driving force of development and the connotation of sharing economy. Sabatucci, Cavaleri, and Cossentino (2016) pointed out that the word "sharing" has a long history, and "sharing" refers to the behavior of people sharing the same object, usually between friends and relatives. Budiasa, Suparta, and Nadra (2018) elaborated the characteristics of sharing economy from two perspectives of economy and society.…”

Section: Literature Review and Theoretical Basismentioning

confidence: 99%

Trust Research on Didi Platform: About Influencing Factors and Willingness to Use

Ban

Chen

et al. 2022

2641-5313

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Along with the expansion of the scope of the “sharing” economy, creating more values by sharing exist resources is becoming increasingly common, facilitating energy saving and emission reduction and realizing mutual benefits in the ridesharing economy. Ridesharing, with Didi Chuxing as a popular ride-hailing and representative platform, has become a trend in recent years. However, the ride-hailing industry is faced with problems and challenges due to limitations and inadequate standardization of its institutions. In the industrialization of the ridesharing economy, lack of relevant policies and regulations and limitations of institutional environment leads to many problems. How to improve the trust of the users in the industry by the platform operation mechanism and thus ensure the steady growth of the transaction volume and users becomes the tasks that the whole industry needs to address. Taking "Didi platform" as the research object, this paper investigates the platform operation mechanism and consumers' trust in the third party ridesharing platform. The results show that : 1) the security mechanism of the ridesharing platforms, including payment security, price mechanism and feedback mechanism, as well as the influential factors of social system, including the reputation of platforms and government supervision. The platform reputation has the most significant impact; 2) payment security and shop owners certification mechanism can significantly reduce the transaction risk perceived by consumers, and then affect their intentions of use; 3) there is a positive transfer relationship between consumers’ trust in platforms and their trust in the driver group of the platforms.

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Section: Literature Review and Theoretical Basismentioning

confidence: 99%

Trust Research on Didi Platform: About Influencing Factors and Willingness to Use

Ban

Chen

et al. 2022

2641-5313

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“…Known Usage. An example of Type III adaptation is a smart travel assistance system [18]. Such a system can compose a trip itinerary according to user's preferences and create travel service as the composition of multiple atomic services (flight booking, hotel reservation, local transportation tickets and so on).…”

Section: Type IIImentioning

confidence: 99%

The Four Types of Self-adaptive Systems: A Metamodel

Sabatucci¹,

Seidita

Cossentino³

2017

Smart Innovation, Systems and Technologies

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The Smart Innovation, Systems and Technologies book series encompasses the topics of knowledge, intelligence, innovation and sustainability. The aim of the series is to make available a platform for the publication of books on all aspects of single and multidisciplinary research on these themes in order to make the latest results available in a readily-accessible form. Volumes on interdisciplinary research combining two or more of these areas is particularly sought. The series covers systems and paradigms that employ knowledge and intelligence in a broad sense. Its scope is systems having embedded knowledge and intelligence, which may be applied to the solution of world problems in industry, the environment and the community. It also focusses on the knowledge-transfer methodologies and innovation strategies employed to make this happen effectively. The combination of intelligent systems tools and a broad range of applications introduces a need for a synergy of disciplines from science, technology, business and the humanities. The series will include conference proceedings, edited collections, monographs, handbooks, reference books, and other relevant types of book in areas of science and technology where smart systems and technologies can offer innovative solutions. High quality content is an essential feature for all book proposals accepted for the series. It is expected that editors of all accepted volumes will ensure that contributions are subjected to an appropriate level of reviewing process and adhere to KES quality principles.

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“…Sabatucci et al [12] developed a smart travel system that acts as a tour operator, combining travel components ondemand to create a holiday package that takes into account user preferences such as budget availability, places of interest and activities to perform. Among the variety of methods to complete missing information or to handle sparse data, classical methods based on regression analysis use different coefficients for each missing data and take into account a fixed number of data [13], [14].…”

Section: Introductionmentioning

confidence: 99%

Estimating Missing Information by Cluster Analysis and Normalized Convolution

Guastella¹,

Valenti²

2018

2018 IEEE 4th International Forum on Research and Technology for Society and Industry (RTSI)

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Smart city deals with the improvement of their citizens' quality of life. Numerous ad-hoc sensors need to be deployed to know humans' activities as well as the conditions in which these actions take place. Even if these sensors are cheaper and cheaper, their installation and maintenance cost increases rapidly with their number. We propose a methodology to limit the number of sensors to deploy by using a standard clustering technique and the normalized convolution to estimate environmental information whereas sensors are actually missing. In spite of its simplicity, our methodology lets us provide accurate assesses.

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Adopting a Middleware for Self-adaptation in the Development of a Smart Travel System

Cited by 7 publications

References 9 publications

Trust Research on Didi Platform: About Influencing Factors and Willingness to Use

Trust Research on Didi Platform: About Influencing Factors and Willingness to Use

The Four Types of Self-adaptive Systems: A Metamodel

Estimating Missing Information by Cluster Analysis and Normalized Convolution

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