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This study aims to reveal the empirical linkage between tourists’ perspectives and attitudes towards disaster ruins and dark tourism by attesting influence relationships between disaster memorials perception, dark tourism evaluation, as well as heritage protection and tourism development intention.

Partial least squares structural equation modeling analysis was used on a sample of 413 valid visitor questionnaires collected at the 5·12 Wenchuan Earthquake Memorial Museum, Sichuan Province, China.

Disaster memorials perception positively influences positive evaluation of dark tourism, heritage protection intention and tourism development intention, while negatively influencing negative evaluation of dark tourism. Furthermore, positive evaluation of dark tourism and heritage protection intention positively affect tourism development intention. In addition, prior knowledge is a significant moderator in the research model.

This study applied the stimulus-organism-response framework and social exchange theory to predict tourists’ behavioral intention toward disaster memorials, providing valuable insights to dark tourism research. It illuminates tourists’ psychological and behavioral characteristics at natural disaster sites and deepens research on the human–nature relationship from the disaster perspective.

本研究试图通过验证自然灾难遗址地游客感知、旅游评价、遗产保护意愿与旅游开发意愿之间的影响关系, 以揭示游客对灾难遗址和黑色旅游的感知及态度之间的隐秘逻辑。

采用偏最小二乘法结构方程模型, 对在中国四川省5·12汶川特大地震纪念馆收集的413份有效游客问卷进行分析。

灾难遗址感知正向影响黑色旅游积极评价、遗产保护意愿和旅游开发意愿, 而负向影响黑色旅游消极评价。同时, 黑色旅游积极评价和遗产保护意愿均显著正向影响旅游开发意愿。此外, 游客的先验知识在研究模型中起着重要的调节作用。

本研究运用“刺激-机体-反应”研究框架预测了旅游者对自然灾难遗址地的行为意向, 深化了黑色旅游研究, 拓宽了S-O-R理论的适用范围。

Este estudio revela el vínculo empírico entre las perspectivas y las actitudes de los turistas hacia las ruinas de catástrofes y el Turismo oscuro, mostrando las relaciones de influencia entre la percepción de los monumentos conmemorativos de catástrofes, la evaluación del turismo oscuro, así como la protección del patrimonio y la intención de desarrollo turístico.

Se empleó un análisis de modelización de ecuaciones estructurales por mínimos cuadrados parciales en una muestra de 413 cuestionarios válidos de visitantes recogidos en el 5·12 Museo Conmemorativo del Terremoto de Wenchuan, Sichuan, China.

La percepción de los monumentos conmemorativos de las catástrofes influye positivamente en las evaluaciones positivas del turismo oscuro, la intención de protección del patrimonio y la intención de desarrollo turístico, mientras que influye negativamente en las evaluaciones negativas del turismo oscuro. Además, las evaluaciones positivas del turismo oscuro y la intención de protección del patrimonio influyen positivamente en la intención de desarrollo turístico. Además, el conocimiento previo moderadora significativamente el modelo de investigación.

Este estudio aplica el marco teórico estímulo-organismo-respuesta (E-O-R) y la teoría del intercambio social para predecir las intenciones de comportamiento de los turistas hacia los monumentos conmemorativos de catástrofes, proporcionando valiosas ideas para el estudio del turismo oscuro. Clarifica las características psicológicas y conductuales de los turistas en los lugares de catástrofes naturales y profundiza en el estudio de la relación entre el ser humano y la naturaleza desde la perspectiva de las catástrofes.

As a strand in industrialization movement in architecture, engineering and construction (AEC) industry, prefabricated construction (PC) has gained widespread popularity due to high efficiency, energy saving, low environmental impacts, safety and other advantages of PC. Well-managed supply chain can further leverage the advantages of PC. However, there is a lack of more systematically overview of the prefabricated construction supply chain (PCSC). This paper aims to comb the current status and look into the future direction of PCSC by reviewing the existing research.

In total, 131 articles related to prefabricated construction supply chain management (PCSCM) from 2000 to 2022 have been collated to (1) conduct a bibliometric analysis by using VOSviewer, including the literature sources, keywords co-occurrence, co-authorships, authorship citation and country active in the field of PCSCM; (2) classify and summarize the status of research in PCSCM through qualitative discussion and (3) point out the future research directions.

In total, 131 articles are carried out for bibliometric analysis and in-depth qualitative discussion, the visualization maps and the main research themes in the field of PCSCM are obtained. The results show that supply chain intelligentization and informatization are hot topics. Finally, future research directions that should be paid attention to in the field of PCSCM are pointed out.

This study can help project managers understand the current status and problems of PCSC operations and provide a basis for future management decisions.

Compared with previous studies, this study adds the dimension of “article authorship” to the quantitative analysis and discusses the research themes in the field of PCSCM in a comprehensive manner. In addition, this paper deeply discusses the main research topics from both the specific contents and research methods adopted.

The purpose of this paper is to analyse the relationship between the motivation and satisfaction of visitors, both tourists and residents, of a sacred urban complex located in Santa Catarina, Brazil.

This descriptive research uses quantitative and survey methods to collect the data. The sample of this study consists of 400 visitors, comprising tourists and residents who were in Vale das Graças, Santa Catarina, Brazil, between August and September 2019. Descriptive statistics and linear regression analysis were used to analyse the data.

The results of this study showed people who visit the site for reasons of religious belief, cultural pleasure and mental relaxation feel satisfied and emotionally touched by the religious atmosphere. It was also perceived that all dimensions of satisfaction significantly influenced the motivation to visit the Vale da Graça; that is, tourists and residents tend to feel more motivated to visit the Sacred Complex when they are satisfied with the contact with faith provoked by the visit.

This research provides theoretical and managerial contributions. Initially, this study contributes to research related to urban religious tourism and the perception of residents and tourists (visitors) in relation to a sacred complex. In general, this research on the subject investigated only the tourist's perspective. In addition, this study also brings management contributions for the destination administrators by understanding the behaviour of visitors to religious tourist sites located in the urban area of municipalities and giving their opinions on the satisfaction and motivation of aspects related to religious contact to visit such sites, thus helping in the management process of the attraction and surroundings.

With the continuous development of the wind power industry, wind power plant (WPP) has become the focus of resource development within the industry. Site selection, as the initial stage of WPP development, is directly related to the feasibility of construction and the future revenue of WPP. Therefore, the purpose of this paper is to study the siting of WPP and establish a framework for siting decision-making.

Firstly, a site selection evaluation index system is constructed from four aspects of economy, geography, environment and society using the literature review method and the Delphi method, and the weights of each index are comprehensively determined by combining the Decision-making Trial and Evaluation Laboratory (DEMATEL) and the entropy weight method (EW). Then, prospect theory and the multi-criteria compromise solution ranking method (VIKOR) are introduced to rank the potential options and determine the best site.

China is used as a case study, and the robustness and reliability of the methodology are demonstrated through sensitivity analysis, comparative analysis and ablation experiment analysis. This paper aims to provide a useful reference for WPP siting research.

In this paper, DEMATEL and EW are used to determine the weights of indicators, which overcome the disadvantage of single assignment. Prospect theory and VIKOR are combined to construct a decision model, which also considers the attitude of the decision-maker and the compromise solution of the decision result. For the first time, this framework is applied to WPP siting research.

In recent years, the proliferation of social commerce (s-commerce) has attracted many researchers to investigate the drivers of individuals' intentions. However, the empirical results reported in these studies were fragmented and inconsistent. This has led various meta-analyses to synthesize these findings, but without including a large number of s-commerce studies. In addition, investigating meta-analytically the effects of moderators such as the six dimensions of Hofstede's national culture is still lacking.

Drawing on nine theories and models, this meta-analysis aims to summarize the findings reported in 109 s-commerce studies published between 2011 and 2021 and to examine the moderating role of national culture. The correlation coefficient (r) has been used as the main effect size for this study. Based on the random-effects method, the CMA V3 software has been employed to calculate the weighted mean effect sizes.

The meta-analysis results showed that all the 11 hypothesized direct relationships are positive and significant. The moderator results also revealed that five out of six cultural dimensions significantly moderate the examined associations.

This research serves to enrich the existing s-commerce literature by addressing contradictory and mixed results reported in the empirical studies. This study is one of the first of its kind to investigate the role of Hofstede's six cultural dimensions as moderators in the field of s-commerce using the meta-analytic techniques.

The purpose of this study is to discuss the principles and factors that influence the site selection of emergency medical facilities for public health emergencies. This paper discusses the selection of the best facilities from the available facilities, proposes the capacity of new facilities, presents a logistic regression model and establishes a site selection model for emergency medical facilities for public health emergencies in megacities.

Using Guangzhou City as the research object, seven alternative facility points and the points' capacities were preset. Nine demand points were determined, and two facility locations were selected using genetic algorithms (GAs) in MATLAB for programing simulation and operational analysis.

Comparing the results of the improved GA, the results show that the improved model has fewer evolutionary generations and a faster operation speed, and that the model outperforms the traditional P-center model. The GA provides a theoretical foundation for determining the construction location of emergency medical facilities in megacities in the event of a public health emergency.

First, in this case study, there is no scientific assessment of the establishment of the capacity of the facility point, but that is a subjective method based on the assumption of the capacity of the surrounding existing hospitals. Second, because this is a theoretical analysis, the model developed in this study does not consider the actual driving speed and driving distance, but the speed of the unified average driving distance and the driving distance to take the average of multiple distances.

The results show that the method increases the selection space of decision-makers, provides them with stable technical support, helps them quickly determine the location of emergency medical facilities to respond to disaster relief work and provides better action plans for decision makers.

The results show that the algorithm performs well, which verifies the applicability of this model. When the solution results of the improved GA are compared, the results show that the improved model has fewer evolutionary generations, faster operation speed and better model than the intermediate model GA. This model can more successfully find the optimal location decision scheme, making that more suitable for the location problem of megacities in the case of public health emergencies.

The research findings provide a theoretical and decision-making basis for the location of government emergency medical facilities, as well as guidance for enterprises constructing emergency medical facilities.

Effective safety supervision plays a crucial role in ensuring safe production within coal mines. Conventional coal mine safety supervision (CMSS) in China has suffered from the problems of power-seeking, excessive resource consumption and poor timeliness. This paper aims to explore the Internet+ CMSS mode being emerged in China.

The evolution of CMSS systems underwent comprehensive scrutiny through a blend of qualitative and quantitative approaches. First, evolutionary game theory was used to analyze the necessity of incorporating Internet+ technology. Second, a system dynamics model of Internet+ CMSS was crafted, encompassing a system flow diagram and equations for various variables. The model was subsequently simulated by taking the W coal mine in Shanxi Province as a representative case study.

It was revealed that the expected safety profit from the Internet+ mode is 296.03% more than that from the conventional mode. The precise dissemination of law enforcement information was identified as a pivotal approach through which the Internet+ platform served as a conduit to foster synergistic collaboration among diverse elements within the system.

The outcomes of this study not only raise awareness about the potential of Internet+ technology in safety supervision but also establish a vital theoretical foundation for enhancing the efficacy of the Internet+ CMSS mode. The significance of these findings extends to fostering the wholesome and sustainable progress of the coal mining industry.

This research stands out as one of the limited studies that delve into the influence of Internet+ technology on CMSS. Building upon the pivotal approach identified, to the best of authors’ knowledge, a novel “multi-blind” working mechanism for Internet+ CMSS is introduced for the first time.

Under the background that engineering, procurement and construction (EPC) contracting model is introduced to adapt to the highly fragmented characteristics of prefabricated construction, the schedule management of general contractor is faced with the challenge of dynamic transmission and interaction of construction scheduling-related risk. The purpose of this paper is to develop the hierarchy of prefabricated construction scheduling-related risks from the perspective of the general contractor, and to analyze the transmission mechanism between risks. The paper also aims to further distinguish the difference of the impact degree of scheduling-related risks, and provide reference for formulating the strategy to alleviate the construction delay.

Based on a review of the literature on prefabricated buildings, this paper identifies 22 scheduling-related risks in construction from the perspective of the general contractor. Semi-structured interviews were then conducted to obtain experts' views on the interrelationships among these risks. Following this, their overall structure was determined by using a hierarchical structure established by using interpretive structural modeling (ISM), and Matrice d'Impacts Croisés Multiplication Appliqués à un Classement (MICMAC) technique was applied to classify them into four groups according to their driving and dependence powers.

The results indicate that the 22 scheduling-related risks in construction followed the inherent path of step-by-step transmission, and all of them could cause different degrees of delays in prefabricated construction. Among them, general experience in contracting projects, the use of emerging technologies and the completeness of the relevant standards and specifications were strong drivers of scheduling delays in construction, and should be prioritized by the general contractor in schedule management. The transitive link between scheduling risks can guide them in developing prevention strategies.

Data quality and reliability risks are the major drawbacks of semi-structured interviews. These were minimized by engaging experts with rich theoretical and hands-on experience in prefabricated construction projects. The hierarchical model only reflects static influence relationships, and so dynamic interactions among scheduling-related risks should be studied in future.

The primary value of this study is in its development of a hierarchical model by using the integrated ISM–MICMAC approach that reflects the interaction between scheduling risks in the construction of prefabricated buildings. The hierarchy of these risks and the results of a “driving-dependence power” analysis can guide the general contractor in taking targeted preventive measures to avoid scheduling delays in the construction of prefabricated buildings.

Construction progress monitoring (CPM) is considered a difficult and tedious task in construction projects, which focuses on identifying discrepancies between the as-built product and the as-planned design. Computer vision (CV) technology is applied to automate the CPM process. However, the synergy between the CV and CPM in literature and industry practice is lacking. This study aims to fulfil this research gap.

A Delphi qualitative approach was used in this study by conducting two interview rounds. The collected data was analysed using manual content analysis.

This study identified seven stages of CPM; data acquisition, information retrieval, verification, progress estimation and comparison, visualisation of the results and schedule updating. Factors such as higher accuracy in data, less labourious process, efficiency and near real-time access are some of the significant enablers in instigating CV for CPM. Major challenges identified were occlusions and lighting issues in the site images and lack of support from the management. The challenges can be easily overcome by implementing suitable strategies such as familiarisation of the workforce with CV technology and application of CV research for the construction industry to grow with the technology in line with other industries.

This study addresses the gap pertaining to the synergy between the CV in CPM literature and the industry practice. This research contributes by enabling the construction personnel to identify the shortcomings and the opportunities to apply automated technologies concerning each stage in the progress monitoring process.