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The paper aims to investigate effectiveness of the strengthening method, the construction process monitoring, fielding-load tests before and after strengthening, and health monitoring after reinforcement were carried out. The results of concrete strain and deflection show that the flexural strength and stiffness of the strengthened beam are improved.

This paper describes prestressed steel strand as a way to strengthen a 25-year-old continuous rigid frame bridge. High strength, low relaxation steel strand with high tensile strain and good corrosion resistance were used in this reinforcement. The construction process for strengthening with prestressed steel strand and steel plate was described. Ultimate bearing capacity of the bridge after strengthening was discussed based on finite element model.

The cumulative upward deflection of the second span the third span was 39.7 mm, which is basically consistent with the theoretical value, and the measured value is smaller than the theoretical value. The deflection value of the second span during data acquisition was −20 mm–10 mm, which does not exceed the maximum deflection value of live load, and the deflection of the bridge is in a safe state during normal use. Thus, this strengthened way with prestressed steel wire rope is feasible and effective.

This paper describes prestressed steel strand as a way to strengthen a 25-year-old continuous rigid frame bridge. To investigate effectiveness of the strengthening method, the construction process monitoring, fielding-load tests before and after strengthening and health monitoring after reinforcement were carried out.

In order to understand the status of the bridge reinforcement process, the construction process monitoring of the reinforced bridge is carried out. The T-beam bridge was tested using the truck loading test. The displacements and concrete strains of the bridge at mid-span were measured during the test.

This paper describes an innovative technique, external prestressing, used to strengthen a 36-year-old prestressed T-beam bridge. This paper introduces the construction process of the prestressed reinforcement method, and makes a theoretical analysis of the reinforced bridge through the establishment of the reinforcement model.

This study showed that the structural capacity and performance of the bridge were enhanced with externally prestressed steel strand strengthening.

The innovative reinforcement method of prestressed T-shaped bridge is put forward, which has guiding significance for similar bridge reinforcement and maintenance.

This study analyzes the causal effect of education on consumers' cognition and attitudes toward genetically modified (GM) foods.

The authors propose an analytical framework to clarify the role of education levels and education content in the formation of attitudes toward GM foods and utilize education reforms in China as natural experiments to test the theoretical predictions empirically. For education levels, the authors use Compulsory Education Law's implementation to construct the instrument variable. For education content, the authors utilize the revision of the biology textbook in the Eighth Curriculum Reform to implement staggered difference-in-difference estimation. The authors use two national household surveys, the China Genuine Progress indicator Survey (CGPiS) and the China Household Finance Survey (CHFS) of 2017, combined with provincial-level data of education reforms.

The education level, instrumented by the Compulsory Education Law's implementation, has an insignificant effect on consumers' cognition and attitudes toward GM foods, whereas the acquisition of formal education on genetic science, introduced by the Eighth Curriculum Reform, has a statistically significant and positive influence.

This is the first study to investigate the causal effects of education level and content on consumers' cognition and attitude toward GM foods using national representative data. It is also the first to evaluate the long-term effects of the biology textbook reform in China. The findings help open the black box of how education shapes people's preferences and attitudes and highlight the significance of formal biology education in formulating consumers' willingness to accept GM foods.

The purpose of this study is to identify the motivating factors that influence repeat participation among university student volunteers at a world-renowned food festival. The direct and indirection relationship (through attitude toward volunteering) was tested. Additionally, the moderating role of class standing between student volunteers' motivations, attitudes and repeat volunteer intention was assessed.

Researchers applied a quantitative methodology to data collected after the festival volunteering experience. The research team collected 205 useable surveys from university student volunteers at the Food Network and Cooking Channel South Beach Wine and Food Festival (SOBEWFF®). Structural equation modeling was used to test the relationships among volunteer motivations, attitude toward volunteering and intention to continue volunteering. Lastly, a multiple-group analysis was applied to test the moderating role of class standing.

The results showed the motivating factors purposive, personal enrichment and family traditions were significant in predicting attitude toward volunteering. These motivations did not significantly affect intention to continue volunteering; thus researchers found only an indirect relationship (through attitude toward volunteering) between volunteering motivations and intention to continue volunteering. Additionally, a positive attitude toward volunteering resulted in an intention to continue volunteering. Lastly, testing the moderating role of class standing revealed significant results on three pathways, indicating that students are motivated to volunteer differently based upon class standing (freshman through junior vs. senior, graduate).

The data were collected prior to COVID-19, and the ways in which COVID-19 has impacted the events industry and the scape of future events are yet to be determined.

Festival organizers and managers should appeal to different motivations of potential student volunteers depending on their class standing. For example, results of the moderator “class standing” indicated that the relationship between personal enrichment motivation and attitude toward volunteering was strongest and significant among freshmen, sophomores and juniors, but insignificant among seniors and graduate students. Thus, freshmen through juniors are more highly motivated to obtain practical experiences, and this motivation results in a positive attitude toward volunteering.

This study tests the moderating role of class standing to help predict intention to continue volunteering at a special event. The research is further unique by extending an understanding of the validity and reliability of the special events volunteer motivations scale.

Given the increasing number of tourists exposed to commercially available cannabis, it is important to understand visitors' perceived constraints to cannabis consumption while travelling. This study aims to compare cannabis tourists' perceived constraints between first-time and repeat tourists to gain comprehensive understanding.

This study involved 32 conversational field interviews (5–10 min) with Chinese tourists who had smoked cannabis in coffee shops in Amsterdam to identify perceived constraints to engaging in cannabis tourism. The hierarchical constraint model (HCM) informed qualitative data coding using a deductive approach to compare first-time and repeat tourists. Content analysis was conducted manually.

Results showed that both tourist groups faced intrapersonal, interpersonal and structural perceived constraints to cannabis consumption. Differences in first-time and repeat cannabis tourists' perceived constraints were explained using the neutralization technique framework and psychological tactics, such as the defence of necessity, claims of entitlement, normal practice and claims of relative acceptability. In addition, social exchange theory was employed to explain why repeat cannabis tourists perceived fewer constraints than first-time tourists.

Although the current study did not intend to address the importance of cannabis tourism in places where cannabis is commercially available, findings offer empirical guidance for industry practitioners and policymakers regarding cannabis use education, prevention and policy in tourism contexts; related efforts can promote the sustainable development of this tourism market while protecting cannabis tourists' physical and psychological well-being.

This study makes important theoretical contributions regarding travel constraints in the unique context of cannabis tourism between first-time and repeat tourists. Findings will also enable academics, industry operators, policymakers and local residents of cannabis tourism destinations to better understand how these tourists decide whether to consume cannabis overseas. Differences in these perceived constraints between first-time and repeat tourists are discussed to highlight the dynamic nature of travel constraints.

The relationship between sex and tourism remains ambiguous in the tourism literature. Few studies have examined the underlying motivations behind sex-driven travel, and little is known about factors inhibiting tourists' procurement of commercial sex when traveling. Therefore, this study explored male Chinese tourists' perceived constraints during decision-making and developed a comprehensive scale to assess constraints to commercial sex consumption overseas.

Data were obtained from male Chinese tourists purchasing commercial sex while traveling overseas. This study involved a four-stage process as recommended by Churchill (1979) for scale development research. In Stage 1, preliminary items were generated through a comprehensive review of the constraints literature and in-depth interviews with 16 sex tourists, which generated an initial 26 items. During the second stage to purify the measurement items, six items were eliminated, resulting in 20 items. Stage 3 involved exploratory factor analysis (N = 275) to extract the scale's underlying factor structure. Results revealed a five-factor structure with sufficient evidence of internal reliability given Cronbach's alpha coefficients between 0.722 and 0.843. The final stage included confirmatory factor analysis (N = 259) to verify the scale's reliability and validity.

Ultimately, 20 items were developed to measure sex tourists' perceived constraints toward engaging in commercial sex services overseas based on five factors: structural constraints, intrapersonal constraints, interpersonal constraints, value conflicts and service supply–related constraints.

This study advances the scope of sex tourism research by verifying how these five constraints are independent, generalized and can influence the procurement of sexual services overseas. This study is the first in sex tourism research to explore the difficulties facing sex tourists. Results offer marketers important insight on how to better address these constraints while providing a safe and legal sex tourism experience.

This paper explores the role of traditional Chinese medicine (TCM) as a tourism recovery drawcard to boost China's inbound tourism after COVID-19.

This paper employed a mixed method involving a cross-disciplinary literature review along with reflections from experts in TCM and health communication to inform tourism management. Specifically, this paper examines TCM and its potential benefits as a medical tourism drawcard to combat COVID-19. The selected literature focusses on the image and merits of TCM to frame how this medical philosophy can be used to position China as a tourist destination. Reflections on the use of TCM as a tourism marketing tool can guide promotional strategies from the Chinese government and destination managers during and after COVID-19.

The Chinese government, the tourism industry (e.g. destination managers), the media and tourists must focus on three aspects of the role of TCM: to provide medical benefits to travellers amid COVID-19 and beyond, elevate China as a destination for global medical tourists and be leveraged as a tool for economic recovery.

The paper builds a tourism recovery framework for stakeholders to adopt tailored TCM communication strategies to boost its inbound tourism programme.

This paper is the first academic paper to review TCM comprehensively and critically in relation to China tourism and post-COVID-19 recovery measures.

The purpose of this research paper is to examine whether enduring involvement theory plays a role in predicting craft beer and food festival visitors' experience of the festivalscape. Though craft beer and brewing is a growing area of research, there has been limited studies and theory application in this area. Around the world, craft breweries are increasing in number and producing more unique styles of beer as the demand for craft beer increases. Craft beer consumers visit many of these breweries and are attracted to craft beer festivals in which they can sample multiple local, regional, national and international craft beers.

A quantitative methodology was used based on data collected at the site of the festival. Researchers collected 204 useable surveys from visitors attending the North Miami Brewfest in North Miami, Florida, USA. Structural equation modeling was employed to examine the relationships among enduring involvement, festivalscape, satisfaction, revisit intention and word-of-mouth.

The results revealed that enduring involvement is significant in predicting all four factors of festivalscape (food/beverage quality, convenience, facility and festival staff). The festivalscape factors facility, food quality and festival staff predicted festival attendee satisfaction which in turn predicted both revisit intention and word-of-mouth. However, the festivalscape factor convenience did not influence satisfaction.

The authors surveyed only one festival in one region in South Florida. Further studies can survey multiple festivals in multiple regions to increase the generalizability of the research model. Enduring involvement theory could be applied to other niche areas in hospitality and tourism in the future (in addition to craft beer tourism).

Craft beer festival organizers should appeal to craft beer clubs, breweries and publications to attract those with a commitment to the craft beer industry to their event. People with an enduring, lasting commitment to craft beer are more likely to have a positive experience of the festivalscape at the event. Lastly, festival organizers should focus on the festivalscape factors facility, festival staff and food and beverage quality to influence satisfaction at the event.

This project applies enduring involvement theory in a festival setting. The research is further unique by adding enduring involvement as a predictor of festivalscape experience.

Driven by sustainable production, mobile robots are introduced as a new clean-energy material handling tool for mixed-model assembly lines (MMALs), which reduces energy consumption and lineside inventory of workstations (LSI). Nevertheless, the previous part feeding scheduling method was designed for conventional material handling tools without considering the flexible spatial layout of the robotic mobile fulfillment system (RMFS). To fill this gap, this paper focuses on a greening mobile robot part feeding scheduling problem with Just-In-Time (JIT) considerations, where the layout and number of pods can be adjusted.

A novel hybrid-load pod (HL-pod) and mobile robot are proposed to carry out part feeding tasks between material supermarkets and assembly lines. A bi-objective mixed-integer programming model is formulated to minimize both total energy consumption and LSI, aligning with environmental and sustainable JIT goals. Due to the NP-hard nature of the proposed problem, a chaotic differential evolution algorithm for multi-objective optimization based on iterated local search (CDEMIL) algorithm is presented. The effectiveness of the proposed algorithm is verified by dealing with the HL-pod-based greening part feeding scheduling problem in different problem scales and compared to two benchmark algorithms. Managerial insights analyses are conducted to implement the HL-pod strategy.

The CDEMIL algorithm's ability to produce Pareto fronts for different problem scales confirms its effectiveness and feasibility. Computational results show that the proposed algorithm outperforms the other two compared algorithms regarding solution quality and convergence speed. Additionally, the results indicate that the HL-pod performs better than adopting a single type of pod.

This study proposes an innovative solution to the scheduling problem for efficient JIT part feeding using RMFS and HL-pods in automobile MMALs. It considers both the layout and number of pods, ensuring a sustainable and environmental-friendly approach to production.

The purpose of this paper is to investigate how to incorporate market price risk into investment decisions. The investigation focuses on investments to expand ethanol production facilities. The model is used to determine if such a real option approach can explain recent changes in the level of plant investment activity.

The paper demonstrates how real option analysis and Monte Carlo simulation can be used to evaluate ethanol plant investments by using available historical industry and market price data. We focus on existing small‐to‐medium, dry milling plants and the real option to expand the scale of operations. The binomial option pricing model is used to identify optimal strategies.

Increasing profitability and volatility appear to favor the strategy of investing during 2005‐2007. However, when the prices of corn and natural gas rise and plant profitability declines during 2007‐2008, the best strategy is increasingly to either postpone the investment or reject the decision to expand.

This paper is a first application of real option analysis to ethanol plant expansion decisions. The methodology used in the paper can be adapted by analysts, investors, and lenders in the ethanol industry to improve their investment analyses.