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The influence of road surface temperature (RST) on vehicles is becoming more and more obvious. Accurate predication of RST is distinctly meaningful. At present, however, the prediction accuracy of RST is not satisfied with physical methods or statistical learning methods. To find an effective prediction method, this paper selects five representative algorithms to predict the road surface temperature separately.

Multiple linear regressions, least absolute shrinkage and selection operator, random forest and gradient boosting regression tree (GBRT) and neural network are chosen to be representative predictors.

The experimental results show that for temperature data set of this experiment, the prediction effect of GBRT in the ensemble algorithm is the best compared with the other four algorithms.

This paper compares different kinds of machine learning algorithms, observes the road surface temperature data from different angles, and finds the most suitable prediction method.

This study aims to research the large cross-section tunnel stability evaluation method corrected after considering the thickness-span ratio.

First, taking the Liuyuan Tunnel of Huanggang-Huangmei High-Speed Railway as an example and taking deflection of the third principal stress of the surrounding rock at a vault after tunnel excavation as the criterion, the critical buried depth of the large section tunnel was determined. Then, the strength reduction method was employed to calculate the tunnel safety factor under different rock classes and thickness-span ratios, and mathematical statistics was conducted to identify the relationships of the tunnel safety factor with the thickness-span ratio and the basic quality (BQ) index of the rock for different rock classes. Finally, the influences of thickness-span ratio, groundwater, initial stress of rock and structural attitude factors were considered to obtain the corrected BQ, based on which the stability of a large cross-section tunnel with a depth of more than 100 m during mechanized operation was analyzed. This evaluation method was then applied to Liuyuan Tunnel and Cimushan No. 2 Tunnel of Chongqing Urban Expressway for verification.

This study shows that under different rock classes, the tunnel safety factor is a strict power function of the thickness-span ratio, while a linear function of the BQ to some extent. It is more suitable to use the corrected BQ as a quantitative index to evaluate tunnel stability according to the actual conditions of the site.

The existing industry standards do not consider the influence of buried depth and span in the evaluation of tunnel stability. The stability evaluation method of large section tunnel considering the correction of overburden span ratio proposed in this paper achieves higher accuracy for the stability evaluation of surrounding rock in a full or large-section mechanized excavation of double line high-speed railway tunnels.

Vehicle fault diagnosis is a key factor in ensuring the safe and efficient operation of the railway system. Due to the numerous vehicle categories and different fault mechanisms, there is an unbalanced fault category problem. Most of the current methods to solve this problem have complex algorithm structures, low efficiency and require prior knowledge. This study aims to propose a new method which has a simple structure and does not require any prior knowledge to achieve a fast diagnosis of unbalanced vehicle faults.

This study proposes a novel K-means with feature learning based on the feature learning K-means-improved cluster-centers selection (FKM-ICS) method, which includes the ICS and the FKM. Specifically, this study defines cluster centers approximation to select the initialized cluster centers in the ICS. This study uses improved term frequency-inverse document frequency to measure and adjust the feature word weights in each cluster, retaining the top τ feature words with the highest weight in each cluster and perform the clustering process again in the FKM. With the FKM-ICS method, clustering performance for unbalanced vehicle fault diagnosis can be significantly enhanced.

This study finds that the FKM-ICS can achieve a fast diagnosis of vehicle faults on the vehicle fault text (VFT) data set from a railway station in the 2017 (VFT) data set. The experimental results on VFT indicate the proposed method in this paper, outperforms several state-of-the-art methods.

This is the first effort to address the vehicle fault diagnostic problem and the proposed method performs effectively and efficiently. The ICS enables the FKM-ICS method to exclude the effect of outliers, solves the disadvantages of the fault text data contained a certain amount of noisy data, which effectively enhanced the method stability. The FKM enhances the distribution of feature words that discriminate between different fault categories and reduces the number of feature words to make the FKM-ICS method faster and better cluster for unbalanced vehicle fault diagnostic.

This paper examines the impact of corporate digital transformation on employee satisfaction. Therefore, this study extends our understanding of the economic consequences of corporate digital transformation from employees’ perspectives.

The data used to construct our main proxy of employee satisfaction are collected from Kanzhun.com, which provides reviews by rank-and-file employees on their employers. This study uses a large sample of Chinese firms and adopts various empirical methods to examine the impact of digital transformation on employee satisfaction.

We find a significant positive relationship between corporate digital transformation and employee satisfaction. Moreover, we document that the relationship between corporate digital transformation and employee satisfaction is more pronounced in firms with higher labor intensity and in state-owned enterprises (SOE).

One significant limitation is that corporate digital transformation is constructed based on word frequency analysis. This approach may be influenced by variations in corporate disclosure practices and might not accurately capture the true extent of corporate digital transformation. This limitation is not only present in our research but is also pervasive in many other studies that utilize similar methodologies. Therefore, our results should be interpreted with this caveat in mind.

Our study suggests that corporate digital transformation enhances employee satisfaction, providing direct evidence for managers and regulators to promote corporate digital transformation. Through digital transformation, companies can not only improve operational efficiency but also foster employee satisfaction. This dual benefit underscores the importance of investing in corporate digital transformation for long-term success.

Our study suggests that corporate digital transformation enhances employee satisfaction, providing direct evidence for managers and regulators to promote corporate digital transformation. Through digital transformation, companies can not only improve operational efficiency but also foster employee satisfaction. This dual benefit underscores the importance of investing in corporate digital transformation for long-term success.

Our study contributes to the literature on the economic consequences of corporate digital transformation and extends existing research on the determinants of employee satisfaction. Additionally, it provides a novel measurement of employee satisfaction for a large sample of Chinese firms.

The purpose of this paper is to compare and evaluate how the governments in six Asian countries have dealt with selected grand corruption scandals.

This paper is based on the comparative analysis of 11 corruption scandals examined in the six articles on India, Japan, Macau, Malaysia, Philippines and Singapore included in this special issue of Public Administration and Policy.

The responses of the governments in the six countries depend on the strength of their political will in combating corruption. The responses of the governments in Malaysia, Philippines, India and Japan reflect their weak political will in combating corruption and lack of accountability of the corrupt offenders. By contrast, the strong political will of the governments in Singapore and Macau is reflected in the investigation and punishment of the corrupt offenders without any cover-up of the scandals.

The findings would be of interest to scholars, policymakers and anti-corruption practitioners and activists.

This paper aims to comprehensively clarify the research status of thermal transport of supercritical aviation kerosene, with particular interests in the effect of cracking on heat transfer.

A brief review of current research on supercritical aviation kerosene is presented in views of the surrogate model of hydrocarbon fuels, chemical cracking mechanism of hydrocarbon fuels, thermo-physical properties of hydrocarbon fuels, turbulence models, flow characteristics and thermal performances, which indicates that more efforts need to be directed into these topics. Therefore, supercritical thermal transport of n-decane is then computationally investigated in the condition of thermal pyrolysis, while the ASPEN HYSYS gives the properties of n-decane and pyrolysis products. In addition, the one-step chemical cracking mechanism and SST k-ω turbulence model are applied with relatively high precision.

The existing surrogate models of aviation kerosene are limited to a specific scope of application and their thermo-physical properties deviate from the experimental data. The turbulence models used to implement numerical simulation should be studied to further improve the prediction accuracy. The thermal-induced acceleration is driven by the drastic density change, which is caused by the production of small molecules. The wall temperature of the combustion chamber can be effectively reduced by this behavior, i.e. the phenomenon of heat transfer deterioration can be attenuated or suppressed by thermal pyrolysis.

The issues in numerical studies of supercritical aviation kerosene are clearly revealed, and the conjugation mechanism between thermal pyrolysis and convective heat transfer is initially presented.

This study aims to explore the differences in the tourists’ perceived destination image on travel e-commerce platforms (e.g. Ctrip and Fliggy) and social media platforms (e.g. Xiaohongshu and Weibo).

The purpose of this paper is to conceptually examine the phenomenon of wellness tourism under a holistic and systemic lens, focusing on the offer system and the main components necessary for the staging of wellness experiences. This approach to holistic wellbeing within the tourism sector has led to a broadening of the type of services and experiences that make up the value propositions that can positively contribute to people’s wellbeing.

This study identifies and defines the components of wellness tourism (including sectors not traditionally associated with it) through a review and analysis of the extant literature on “wellness tourism” and “wellbeing tourism” of the past two decades; the components were classified through an open coding process.

Wellness tourism, as a broad multidimensional concept, is composed by ten different components of the offer system: hot springs, spas, medical tourism, care of the body and mind, enogastronomy, sports, nature and environment, culture, spirituality and events. Each of these categories may represent a single touristic offer targeted to specific market segments, but they may also be one of several components within an integrated mix of tourism products proposed.

A holistic view of wellness tourism has implications for strategic marketing processes. Destination Management Organizations and company managers should segment their demand according to more innovative criteria than what has traditionally been adopted for wellness in terms of health care and medical procedures. Value propositions for tourists should be wellness-driven to satisfy the growing demand for wellness/well-being and should involve the participation of all the various actors and producers within the wellness tourism offer system at wellness destinations.

康养旅游及其组成元素：一个全方位的视角

此一论文会以全面和有系统的目光, 谈及康养旅游的现象, 并集中于康养旅游的供应系统和主要组成元素。此一以全面身心健康为目的的旅游行业, 使不同服务的覆盖范围和经验得以扩而充之, 提供有利条件正面地影响着人们的身心健康。

本研究会分辨和定义康养旅游的组成元素（以及其他在传统定义上被排除的行业）, 透过重新审视和分析近20年有关于康养旅游（Wellness tourism）和健康旅游（Wellbeing tourism）的现存文献。同时, 所有元素会以开放式译码 （open coding）来分类。

康养旅游, 作为一个多元概念, 基本上与十个不同的供应行业相关：温泉, 水療, 医疗旅游, 身心护理, 饮食, 运动, 自然环境, 文化, 灵修和特办活动。不同类别的行业可以在代表市场上不同供需关系的同时, 也可以代表供应上可以有一种混合套餐供应。

以全面的目光去看康养旅游可以为市场策略定下基础。目的地管理公司（DMO）和不同的公司经理应该在分辨服务需求的时候, 多采用新颖的标准, 摒弃只包括医疗的传统健康观念。为游客订立的价值主张（Value propositions）应以全面身心健康为主导, 以满足对康养（Wellness）和健康（Wellbeing）不断上升的需求; 亦应大力度地提升所有安康旅游工作人员与顾客的互动和参与。

El turismo de bienestar y los componentes de su sistema de oferta: una perspectiva holística

Este artículo examina conceptualmente el fenómeno del turismo de bienestar desde una perspectiva holística y sistémica, centrándose en el sistema de oferta y los principales componentes necesarios para la puesta en escena de experiencias de bienestar. Este enfoque de bienestar integral dentro del sector turístico ha propiciado una ampliación del tipo de servicios y experiencias que integran las propuestas de valor que pueden contribuir positivamente al bienestar de las personas.

Este estudio identifica y define los componentes del turismo de bienestar (incluidos los sectores no asociados tradicionalmente con él), a través de una revisión y análisis de la literatura existente sobre “turismo de bienestar” de las dos últimas décadas; los componentes se han clasificado mediante un proceso de codificación abierto.

El turismo de bienestar está compuesto conceptualmente por diez componentes diferentes de ofertas: aguas termales, spas, turismo sanitario, cuidado de cuerpo y mente, enogastronomía, deportes, naturaleza y medio ambiente, cultura, espiritualidad y eventos. Cada una de estas categorías puede representar una única oferta turística para segmentos de mercado específicos, pero también pueden ser uno de los varios componentes de una combinación integrada de productos turísticos.

Esta concepción holística del bienestar sugiere que, en el contexto de los procesos de marketing estratégico, las DMO y los gerentes de negocio deben segmentar la demanda con criterios innovadores respecto a los tradicionales de salud y médicos. Además, deben formular propuestas de turismo orientado al bienestar, valorizando los componentes de la oferta capaces de interceptar la creciente demanda de bienestar e implicando a los distintos productores del sistema de oferta de wellness que operan en los destinos de bienestar

The purpose of this paper is to emphasize the increasing importance of information and communication technologies (ICTs) in smart tourism destinations, in their integration in the activity of the tourism companies, and in their interaction with visitors/tourists. In summary, it is intended to evaluate in the city of Porto how the use of technology before, during and after the visit influences the tourist experience.

The authors empirically investigate the importance of using ICTs during tourism experience, assess the access/availability of ICT at the destination and its importance in tourist’s decisions. It is analyzed if the applications and/or information available on the internet are important and positively influence the tourism experience in Porto, that is, the degree of tourist satisfaction. The empirical evidence is based on a quantitative analysis, using a data set involving 423 tourists in the city of Porto.

The importance of the internet access at the destination, especially in places like airports and hotels, since most tourists are primarily using their mobile devices and computers during the trip, and the existing information technologies available in the destination (internet, smartphones or other mobile devices and applications) are considered very important in explaining tourists’ experience.

This study identifies the strengths and weaknesses of the technological strategies, providing useful information for destination management, discussing innovation in tourism, and proposing a framework that empirically evaluates how technological components used in smart tourism destinations can improve tourists’ experiences.