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The purpose of this study is to evaluate the effect of graphene, basalt flakes and their synergy on the corrosion resistance of zinc-rich coatings. As the important heavy-duty anticorrosion coatings, zinc-rich coatings provided cathodic protection for the substrate. However, to ensure cathodic protection, a large number of zinc powder made the penetration resistance known as the weakness of zinc-rich coatings. Therefore, graphene and basalt flakes were introduced into zinc-rich coatings to coordinate its cathodic protection and shielding performance.

Three kinds of coatings were prepared; they were graphene modified zinc-rich coatings, basalt flakes modified zinc-rich coatings and graphene-basalt flakes modified zinc-rich coatings. The anticorrosion behavior of painted steel was studied by using the electrochemical impedance spectroscopy (EIS) technique in chloride solutions. The equivalent circuit methods were used for EIS analysis to obtain the electrode process structure of the coated steel system. Simultaneously, the corrosion resistance of the three coatings was evaluated by water resistance test, salt water resistance test and salt spray test.

The study found that the addition of a small amount of graphene and basalt flakes significantly improved the anticorrosion performance of coatings by enhancing their shielding ability against corrosive media and increasing the resistance of the electrochemical reaction. The modified coatings exhibited higher water resistance, salt water resistance and salt spray resistance. The graphene-basalt flakes modified zinc-rich coatings demonstrated the best anticorrosion effect. The presence of basalt scales and graphene oxide in the coatings significantly reduced the water content and slowed down the water penetration rate in the coatings, thus prolonging the coating life and improving anticorrosion effects. The modification of zinc-rich coatings with graphene and basalt flakes improved the utilization rate of zinc powder and the shielding property of coatings against corrosive media, thus strengthening the protective effect on steel structures and prolonging the service life of anticorrosion coatings.

The significance of developing graphene-basalt flakes modified zinc-rich coatings lies in their potential to offer superior performance in corrosive environments, leading to prolonged service life of metallic structures, reduced maintenance costs and a safer working environment. Furthermore, such coatings can be used in various industrial applications, including bridges, pipelines and offshore structures, among others.

This study explores the impact of difficult coworkers on employees' turnover intention. Additionally, this study investigates the roles of employees' attitude toward difficult coworkers, perceived organizational support and affective commitment in the relationship between difficult coworkers and turnover intention.

Based on the stimulus-organism-response theory, a theoretical model was established that linked difficult coworkers to employees' attitude toward the, then to turnover intention directly and indirectly through perceived organizational support and affective commitment. The model was validated using responses from 343 Chinese employees in Macao's banking industry.

Results of the partial least squares-structural equation modeling (PLS-SEM) showed that difficult coworkers significantly influenced employees' attitude toward them. Employees' attitude toward difficult coworkers had a small and significant effect on turnover intention while perceived organizational support and affective commitment mediated the relationship between attitude toward difficult coworkers and turnover intention.

The study is the first empirical study to employ the stimulus-organism-response theory to characterize the impact of difficult coworkers on turnover intention. Fortunately, perceived organizational support and affective commitment were able to lessen the impact of difficult coworkers on turnover intention.

This study assessed the antecedents and consequences of tourists’ authenticity experience in a new ancient town in China. Based on Chinese cultural background and case study, this paper aims to explore this kind of tourism place making and establishes an empirical model to examine and verify the impact of tourists’ perception, authentic experience and behavioral tendency on such place making, and proposes targeted improvement measures.

Based on a Chinese cultural background and case study, this paper explored a certain kind of tourism place making and established an empirical model to examine and verify the impact of tourists’ perceptions, authentic experiences and behavioral tendencies on such place making; the goals were to try to create a new scale to measure the authenticity of the “new ancient town” in the Chinese context and to propose targeted measures for improvement.

Research shows that Chinese visitors acquire experiences that they perceive to be authentic when visiting a contrived attraction such as a new ancient town. The dimensions of cultural, functional, product, value and unique authenticity were identified as distinct dimensions of tourists’ authenticity experiences in a new ancient town. Although these dimensions have been mentioned at times in the context of traditional Western assessments of authenticity, they do not replicate exactly any category of Western objective authenticity, existential authenticity, constructive authenticity or postmodern authenticity. They instead constitute an authentic experiential dimension in a typical oriental context, which is comprehensively explicated by combining the image of a national cultural theme and the elements of functional construction created by tourist places in a new ancient town.

This study explored the path relationship among perception of place making – authenticity experience – behavioral intention, but it did not analyze relationships among the dimensions of perception of place making or among the authenticity experience variables. Furthermore, advantage was not taken of the availability of socioeconomic information to look for differences among interviewees with different attributes. In addition, there is a profound cultural and complex theoretical connotation to authenticity in the Chinese context, and the study of a single case is insufficient to fully elucidate meaning in this emerging discourse.

By verifying the path of tourists’ authenticity experiences through the perception of place making, the understanding of the effects of different elements of place making on tourists’ experiences is refined. For space producers, different elements of place making promote tourists’ authenticity experiences to different degrees. Strengthening the construction of the physical environment, marketing and scenes can promote tourists’ authenticity experiences: planning and design, marketing and scene enhancements promote tourists’ functional authenticity experiences; planning and design, the physical environment and marketing enhance tourists’ product authenticity experiences; planning and design, marketing, the physical environment and scene enhancement can improve tourists’ perceptions of value; unique authenticity experiences can be created in the marketing and scenes in new ancient towns.

Certain aspects of the space production in new ancient towns can be used to strengthen tourists’ perceptions of value. First, the scene system at scenic spots can be strengthened, catering to tourists’ visual, olfactory and other senses so that they are available in all kinds of weather. Second, the local cultural characteristics of the material environment can be strengthened and the installation of inappropriate cultural symbols can be avoided. Thus, a physical environment that is of local ethnic cultural significance can be created so that both local residents and tourists can perceive the value of the place. Third, the rational layout of the new ancient towns should be established and maintained through the ongoing involvement of professional planning and design teams. Local cultural attributes that are of national significance should be included in the layout and design of the physical environment. Fourth, daily marketing and management actions influence how tourists influence scene value. Therefore, managers of scenic places need to make prudent decisions about and integrate local folk and ethnic characteristics into their marketing, which can promote the sustainable development of tourism effectively (Saarinen, 2018).

First, this study constructed and validated the model and path relationship of the “perception of place making, authentic experience, and behavioral intention,” and it confirmed that the perception of place making had an important impact on tourists’ authentic experiences. Second, the exploratory factor analysis extracted five dimensions of the tourist authenticity experience (i.e. cultural, functional, unique, product and value authenticity) based on China’s context of ming shi, which enriched the connotations of the authenticity experience. Third, this study effectively linked the perception of place making with the real experience and behavioral intention of tourists and expanded the theoretical research boundary of place making to a certain extent.

本文以中国文化背景和案例研究为基础, 对“新古镇”旅游的地方营造进行了探讨, 并建立了实证模型。利用SPSS 23.0和Smart PLS 3.0进行数据分析, 检验和验证游客在类似场所的地方营造感知、真实体验和行为意向的路径关系。

以现代技术手段再造（创造）遗产旅游目的地已经成为一个全球性的现象。本文基于中国的文化背景和案例, 考察和验证了游客对地方营造的感知、真实性体验和行为意向的影响, 尝试创造一种新的尺度来衡量在中国语境下“新古镇”的真实性内涵, 并以此提出了针对性的改善措施。

研究表明, 中国游客在参观新古镇等人造景点时, 会获得他们认为真实的体验。文化真实、功能真实、产品真实、价值真实和独特真实是新古镇游客真实性体验的不同维度。它们构成了一个典型东方语境下的真实性内涵, 全面阐述了一个民族文化主题形象与新古镇旅游地方营造功能建设要素的结合。

本研究探讨了地方营造知觉-真实性体验-行为意向之间的路径关系, 但未分析地方营造感知各维度之间及真实性体验变量之间的关系。此外, 没有利用社会经济信息的可用性来寻找不同属性受访者之间的差异。此外, 在中国语境中, 真实性有着深刻的文化内涵和复杂的理论内涵, 仅对单个案例的研究不足以充分阐明这一新兴话题的意义

对于空间生产者来说, 加强物理环境、营销和场景的建设可以促进游客的真实体验:规划设计、营销和场景的增强可以促进游客的功能真实体验;规划设计、物质环境、营销提升游客的产品真实性体验;规划设计、营销、实体环境和场景提升可以提升游客的价值感知;在新古镇的营销和场景中应创造独特的真实性体验。

新古镇地方营造的某些方面可以提升游客的价值感知。首先, 通过迎合游客的视觉、嗅觉和其他感官, 加强景区的场景系统。其次, 可以创造一个具有当地民族文化意义的物质环境, 使当地居民和游客都能感受到这个地方的价值。第三, 通过专业规划设计团队的持续参与, 建立和维护新古镇的合理布局。第四, 日常营销和管理行为影响游客的价值体验。

首先, 本研究构建并验证了“地方营造感知、真实体验与行为意向”的模型和路径关系, 证实了地方营造感知对游客真实体验的重要影响。其次, 基于中国语境, EFA提取了旅游真实性体验的五个维度(文化真实、功能真实、独特真实、产品真实和价值真实), 丰富了真实性体验的内涵。第三, 本研究将游客的地方营造感知、真实体验和行为意向进行了有效地连接。

Basándose en un contexto cultural chino y en un estudio de caso, este artículo exploró la creación de lugares turísticos en la “nueva ciudad antigua” y estableció un modelo empírico. Se utilizaron SPSS 23.0 y Smart PLS 3.0 para el análisis de datos, con el fin de examinar y verificar la relación entre las percepciones de la creación de lugares, las experiencias auténticas y las intenciones de comportamiento de los turistas en dichos lugares.

La recreación moderna de lugares como atracciones turísticas patrimoniales es un fenómeno mundial. Partiendo de un contexto cultural chino y de un estudio de caso, este artículo examina y verifica el impacto de las percepciones de los turistas, las experiencias auténticas y las tendencias de comportamiento en dicha creación de lugares; los objetivos eran intentar crear una nueva escala para medir la autenticidad de la “nueva ciudad antigua” en el contexto chino y proponer medidas específicas de mejora.

La investigación muestra que los visitantes chinos adquieren experiencias que perciben como auténticas cuando visitan una atracción artificial como una nueva ciudad antigua. Las dimensiones de autenticidad cultural, funcional, de producto, de valor y única se identificaron como dimensiones distintas de las experiencias de autenticidad de los turistas en una nueva ciudad antigua. Éstas constituyen una auténtica dimensión experiencial en un contexto típicamente oriental, que se explica de forma exhaustiva combinando la imagen de un tema cultural nacional con los elementos de construcción funcional creados por los lugares turísticos de una nueva ciudad antigua.

Este estudio exploró la relación entre la percepción de la creación de lugares, la experiencia de autenticidad y la intención de comportamiento, pero no analizó las relaciones entre las dimensiones de la percepción de la creación de lugares, ni entre las variables de la experiencia de autenticidad. Además, no se aprovechó la disponibilidad de información socioeconómica para buscar diferencias entre entrevistados con distintos atributos. Adicionalmente, en el contexto chino, la autenticidad tiene profundas connotaciones culturales y teóricas complejas, y el estudio de un solo caso no basta para dilucidar plenamente la importancia de este tema emergente.

Para los productores de espacios, reforzar la construcción del entorno físico, el marketing y las escenas puede promover las experiencias de autenticidad de los turistas: la planificación y el diseño, el marketing y la mejora de las escenas promueve las experiencias de autenticidad funcional de los turistas; la planificación y el diseño, el entorno físico y el marketing mejoran las experiencias de autenticidad de los productos de los turistas; la planificación y el diseño, el marketing, el entorno físico y la mejora de las escenas pueden mejorar la percepción de valor de los turistas; se pueden crear experiencias de autenticidad únicas en el marketing y las escenas de las nuevas ciudades antiguas.

Ciertos aspectos de la creación de lugares en las nuevas ciudades antiguas pueden mejorar la percepción de valor de los turistas. En primer lugar, puede reforzarse el sistema escénico de los lugares de interés, atendiendo a los sentidos visuales, olfativos y de otro tipo de los turistas. En segundo lugar, se puede crear un entorno físico que tenga un significado cultural étnico local para que tanto los residentes locales como los turistas puedan percibir el valor del lugar. En tercer lugar, el trazado racional de las nuevas ciudades antiguas debe establecerse y mantenerse mediante la participación continua de equipos profesionales de planificación y diseño. En cuarto lugar, las acciones diarias de marketing y gestión influyen en la experiencia de valor del turista.

En primer lugar, este estudio construyó y validó el modelo y la relación entre la “percepción de la creación de lugares, la experiencia auténtica y la intención de comportamiento,” lo que confirmó la importante influencia de la percepción de la creación de lugares en la experiencia auténtica de los turistas. En segundo lugar, basándose en el contexto chino, el análisis factorial exploratorio extrajo cinco dimensiones de la experiencia de autenticidad turística (autenticidad cultural, funcional, única, del producto y del valor), que enriquecieron las connotaciones de la experiencia de autenticidad. En tercer lugar, este estudio vinculó eficazmente las percepciones de los turistas sobre la creación de lugares, con la experiencia real y con las intenciones de comportamiento de los turistas.

The purpose of this paper is to propose an new online path planning method for porcine belly cutting. With the proliferation in demand for the automatic systems of pork production, the development of efficient and robust meat cutting algorithms are hot issues. The uncertain and dynamic nature of the online porcine belly cutting imposes a challenge for the robot to identify and cut efficiently and accurately. Based on the above challenges, an online porcine belly cutting method using 3D laser point cloud is proposed.

The robotic cutting system is composed of an industrial robotic manipulator, customized tools, a laser sensor and a PC.

Analysis of experimental results shows that by comparing with machine vision, laser sensor-based robot cutting has more advantages, and it can handle different carcass sizes.

An image pyramid method is used for dimensionality reduction of the 3D laser point cloud. From a detailed analysis of the outward and inward cutting errors, the outward cutting error is the limiting condition for reducing the segments by segmentation algorithm.

This study aims to clarify influencing factors of overcapacity of new energy enterprises in China and accurately predict whether these enterprises have overcapacity.

Based on relevant data including the experience and evidence from the capital market in China, the research establishes a generic univariate selection-comparative machine learning model to study relevant factors that affect overcapacity of new energy enterprises from five dimensions. These include the governmental intervention, market demand, corporate finance, corporate governance and corporate decision. Moreover, the bridging approach is used to strengthen findings from quantitative studies via the results from qualitative studies.

The authors' results show that the overcapacity of new energy enterprises in China is brought out by the combined effect of governmental intervention corporate governance and corporate decision. Governmental interventions increase the overcapacity risk of new energy enterprises mainly by distorting investment behaviors of enterprises. Corporate decision and corporate governance factors affect the overcapacity mainly by regulating the degree of overconfidence of the management team and the agency cost. Among the eight comparable integrated models, generic univariate selection-bagging exhibits the optimal comprehensive generalization performance and its area under the receiver operating characteristic curve Area under curve (AUC) accuracy precision and recall are 0.719, 0.960, 0.975 and 0.983, respectively.

The proposed integrated model analyzes causes and predicts presence of overcapacity of new energy enterprises to help governments to formulate appropriate strategies to deal with overcapacity and new energy enterprises to optimize resource allocation. Ten main features which affect the overcapacity of new energy enterprises in China are identified through generic univariate selection model. Through the bridging approach, the impact of the main features on the overcapacity of new energy enterprises and the mechanism of the influence are analyzed.

Mega construction projects (MCPs), which play an important role in the economy, society and environment of a country, have developed rapidly in recent years. However, due to frequent social conflicts caused by the negative social impact of MCPs, social risk control has become a major challenge. Exploring the relationship between social risk factors and social risk from the perspective of risk evolution and identifying key factors contribute to social risk control; but few studies have paid enough attention to this. Therefore, this study aims to systematically analyze the impact of social risk factors on social risk based on a social risk evolution path.

This study proposed a social risk evolution path for MCPs explaining how social risk occurs and develops with the impact of social risk factors. To further analyze the impact quantitatively, a social risk analysis model combining structural equation model (SEM) with Bayesian network (BN) was developed. SEM was used to verify the relationship in the social risk evolution path. BN was applied to identify key social risk factors and predict the probabilities of social risk, quantitatively. The feasibility of the proposed model was verified by the case of water conservancy projects.

The results show that negative impact on residents’ living standards, public opinion advantage and emergency management ability were key social risk factors through sensitivity analysis. Then, scenario analysis simulated the risk probability results with the impact of different states of these key factors to obtain management strategies.

This study creatively proposes a social risk evolution path describing the dynamic interaction of the social risk and first applies the hybrid SEM–BN method in the social risk analysis for MCPs to explore effective risk control strategies. This study can facilitate the understanding of social risk from the perspective of risk evolution and provide decision-making support for the government coping with social risk in the implementation of MCPs.

Knowledge adoption is the key to effective knowledge exchange in virtual question-and-answer (Q&A) communities. Although previous studies have examined the effects of knowledge content, knowledge source credibility and the personal characteristics of knowledge seekers on knowledge adoption in virtual Q&A communities from a static perspective, the impact of answer deviation on knowledge adoption has rarely been explored from a context-based perspective. The purpose of this study is to explore the impact of two-way deviation on knowledge adoption in virtual Q&A communities, with the aim of expanding the understanding of knowledge exchange and community management.

The same question and the same answerer often yield multiple answers. Knowledge seekers usually read multiple answers to make adoption decisions. The impact of deviations among answers on knowledge seekers' knowledge adoption is critical. From a context-based perspective, a research model of the impact of the deviation of horizontal and vertical answers on knowledge adoption is established based on the heuristic-systematic model (HSM) and empirically examined with 88,287 Q&A data points and answerer data collected from Zhihu. Additionally, the moderation effects of static factors such as answerer reputation and answer length are examined.

The negative binomial regression results show that the content and emotion deviation of horizontal answers negatively affect knowledge seekers' knowledge adoption. The content deviation of vertical answers is negatively associated with knowledge adoption, while the emotion deviation of vertical answers is positively related to knowledge adoption. Moreover, answerer reputation positively moderates the negative effect of the emotion deviation of horizontal answers on knowledge adoption. Answer length weakens the negative correlation between the content deviation of horizontal and vertical answers and knowledge adoption.

This study extends previous research on knowledge adoption from a static perspective to a context-based perspective. Moreover, information deviation is expanded from a one-way variable to a two-way variable. The combined effects of static and contextual factors on knowledge adoption are further uncovered. This study can not only help knowledge seekers identify the best answers but also help virtual Q&A community managers optimize community design and operation to reduce the cost of knowledge search and improve the efficiency of knowledge exchange.

This study reduces carbon emission in logistics distribution to realize the low-carbon site optimization for a cold chain logistics distribution center problem.

This study involves cooling, commodity damage and carbon emissions and establishes the site selection model of low-carbon cold chain logistics distribution center aiming at minimizing total cost, and grey wolf optimization algorithm is used to improve the artificial fish swarm algorithm to solve a cold chain logistics distribution center problem.

The optimization results and stability of the improved algorithm are significantly improved and compared with other intelligent algorithms. The result is confirmed to use the Beijing-Tianjin-Hebei region site selection. This study reduces composite cost of cold chain logistics and reduces damage to environment to provide a new idea for developing cold chain logistics.

This study contributes to propose an optimization model of low-carbon cold chain logistics site by considering various factors affecting cold chain products and converting carbon emissions into costs. Prior studies are lacking to take carbon emissions into account in the logistics process. The main trend of current economic development is low-carbon and the logistics distribution is an energy consumption and high carbon emissions.

The deviant behavior (DB) of construction workers has always been a troubling event in project management. Although scholars continue to search for the main causes of this behavior to curb it at the source, the authors know less about the role and contribution of the team. This study aims to uncover the mechanisms and conditions under which collective moral judgment focus on self (CMJS) effectively enhances DB.

Adopting Chinese construction enterprises as samples, a hierarchical linear model (HLM) is used to test the results of the hypothesis. Moderated mediating effects are used to analyze the potential mechanisms and boundary conditions of DB.

The results of the HLM analysis show that CMJS could directly and significantly induce DB, and moral disengagement (MD) plays a mediator role in this association. In addition, the positive relationship between MD and DB is stronger when performance-avoidance goal orientation (PaGO) or overqualification (Overq) is higher.

The conditions and mechanisms that influence DB are not unique. Future study could examine the explanatory and weighting mechanisms of DB from other perspectives or to construct a framework and summarize the factors that may influence DB.

This study provides a rich theoretical basis for the prevention and correction of construction workers' DB in Chinese construction firms from the perspective of CMJS. In addition, objective moral judgments contribute to guiding employees' moral cognitive processes and positive work.

This study extends existing research on DB and advances the practical outcomes of construction project governance. It not only illustrates that CMJS has a direct impact on DB but also clarifies the mechanisms and conditions that predispose to the generation of DB, filling the research gap on construction workers' DB from cross-level mechanisms and also enriching the theoretical system for preventing this behavior.

The purpose of this paper is to explore the changes of the scale of urban tourists in mainland China under the impact of COVID-19 and, specifically, the following questions: how did the scale of domestic tourists change nationwide and in the seven geographic regions? What are the differences in the changes among the seven geographic regions? What are the changes in the hot spot areas and spatial clustering of domestic tourists across the country?

Using the data of domestic tourist arrivals in 337 cities in mainland China from 2018 to 2021, this research analyzes the absolute differences and relative differences in the scale of domestic tourists nationwide and in seven geographic divisions with the help of indicators such as range analysis, standard deviation, coefficient of variation and Herfindahl–Hirschman Index and explores the changes in the hot spot areas and spatial concentration degree of the spatial scale of domestic tourists nationwide under the influence of the epidemic using kernel density analysis and spatial auto-correlation analysis.

The absolute differences in all seven geographical divisions continue to increase during 2018–2021. The domestic tourism in southwest China is extremely uneven. Absolute differences in the northwest and northeast regions are relatively small, and the development in attracting domestic tourists is more balanced. Relative differences in southwest China are comparatively large, with the trend of uneven development being obvious. The northeast, northwest and eastern regions of China are small, and the development is more balanced. The popularity of domestic tourism in the Beijing–Tianjin–Hebei region, as well as the Yangtze River Delta region, continues to decline and then pick up in 2021. The inland southwest region became a new domestic tourism hot spot in 2021. The size of domestic tourists from 2018 to 2021 in mainland China cities shows a significant positive spatial correlation, and there is a spatial agglomeration phenomenon, but some regional agglomeration types change from 2018 to 2021.

The impact of the epidemic on the number and spatial scale of domestic tourism in China has been clarified, which makes up for the comparison of domestic tourism changes before and after the epidemic. A clear understanding of the changes in the number and spatial scale of domestic tourists in different regions after the epidemic is conducive to the development of domestic tourism revitalization strategies in accordance with the actual situation of each province and promotes the internal circulation of Chinese tourism.

This paper tries to clarify the quantitative scale of domestic tourism in different regions after the epidemic, which is conducive to the development of domestic tourism revitalization strategies in cities in different regions according to regional characteristics and the actual situation of each province and to promote the healthy operation of the internal circulation of tourism in China. This paper also tries to show the changes of domestic tourism market hot spots, agglomeration conditions changes before and after the outbreak and the clarity of tourists’ preference space changes.

Scale of domestic tourists; Absolute difference; Relative difference; Spatial hot spot distribution; Spatial agglomeration change

本文旨在探寻疫情影响下中国大陆城市游客规模演化规律, 具体而言, 疫情影响下, 全国及七大地理分区的国内游客量规模变化如何？七大地理地区的变化有何差异？以及疫情影响下, 全国国内游客空间规模的热点区域和空间集聚程度有何变化？

利用2018-2021年中国大陆337各城市的国内游客量数据, 借助极差、标准差、变异系数、赫芬达尔指等指标分析全国及七大地理分区国内游客规模的绝对差异和相对差异; 借助核密度分析、空间自相关分析等ArcGIS分析工具, 探寻疫情影响下全国国内游客空间规模的热点区域和空间集聚程度的变化情况。

①绝对差异方面, 七大地理分区的绝对差异均持续增大。西南地区的游客量的绝对差异巨大, 国内游发展极不均衡。西北地区、东北地区绝对差异相对较小, 在吸引国内游客方面发展较为均衡。②相对差异方面, 西南地区的国内游发展相对差异较大, 发展不均衡趋势明显; 东北地区、西北地区、华东地区的国内游发展相对差异较小, 发展较为均衡。③热点区域变化方面, 京津冀地区、长三角地区的国内旅游热度持续下降, 在2021年有所回升; 内陆西南地区在2021年成为新的国内游热点区域。④2018年至2021年城市国内游客量规模均呈现出显著的空间正相关的关系, 存在着空间集聚现象, 但部分区域集聚类型在2018到2021年间发生变化。

①理论意义：明晰了疫情对中国国内旅游人次的数量规模和空间规模的影响, 弥补了当前疫情前后国内旅游业变化对比的研究; 阐明了疫情前后中国城市国内游客空间格局的变化, 拓展了研究情景, 丰富了中国旅游业时空变化的相关研究。②实践意义：明晰了疫后不同地区国内旅游人次的数量规模和空间规模变化情况, 以及国内旅游市场热点变化和游客空间偏好变化, 有利于各地区城市对症下药, 制定符合各省份实际情况的国内旅游业振兴策略, 促进中国旅游业内循环。