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In line with the stimulus overload theory, this study seeks a comprehensive understanding of tourism crowding by examining residents’ perceived tourism crowding and their corresponding avoidance and approach reactions through sustainable tourism. In addition, the study aims to investigate whether residents’ proenvironmental behavior moderates’ tourism’s negative impacts on the local ecosystem, delving into its potential mitigating role.

Using purposive sampling, the authors engaged residents associated with government and nongovernment organizations, universities, colleges and schools, as well as individuals from the business sector encompassing hotels, restaurants and cafeterias, markets and dedicated social activists actively involved in community affairs.

The analysis, conducted on 920 questionnaires using structural equation modeling, demonstrates that tourism crowding exhibits a negative correlation with sustainable tourism and approach reactions but a positive correlation with avoidance reactions. Furthermore, the moderation analysis suggests that as residents’ proenvironmental behavior improves, the detrimental effect of tourism crowding on sustainable tourism diminishes.

The study presents numerous implications for policymakers and the tourism industry, emphasizing the need to comprehend residents’ perceptions of tourism crowding and sustainable tourism. It underscores the importance of engaging residents in the tourism process to achieve sustainability goals.

The novel theoretical contribution lies in applying the stimulus overload theory to examine tourism crowding and sustainable tourism, specifically from the residents’ perspectives.

本研究根据刺激超负荷理论, 通过考察旅游地居民在整个可持续旅游过程中对旅游拥挤的感知以及他们的相应回避和接近反应, 寻求对旅游拥挤的全面了解。此外, 本研究旨在调查旅游地居民的环保行为是否可以缓和旅游对当地生态系统造成的负面影响, 并深入探讨潜在缓解作用。

我们采用目的性抽样方法, 邀请了与政府和非政府组织、大学、学院和学校有关联的旅游地居民, 来自商业领域（包括HORECA“酒店、餐馆和自助餐厅”和市场）的个人, 以及积极参与社区事务的专职社会活动家。

本研究采用结构方程模型（SEM）对920份调查问卷进行分析, 结果表明旅游拥挤与可持续旅游和接近反应呈负相关, 而与回避反应呈正相关。此外, 缓和分析表明, 随着旅游地居民环保行为的改善, 旅游拥挤对可持续旅游的不利影响呈现减弱。

本研究为决策者和旅游业提供了许多启示, 强调需要了解旅游地居民对旅游拥挤和可持续旅游的感知, 亦强调了让旅游地居民参与旅游过程的重要性, 以确保实现可持续发展目标。

本研究贡献了新颖的理论, 应用刺激超负荷理论考察旅游拥挤和可持续旅游, 特别是从旅游地居民角度进行考察。

Este estudio busca una comprensión global de la masificación turística mediante el examen de la masificación turística percibida por los residentes y sus correspondientes reacciones de aproximación y evitación a través del turismo sostenible, en el marco de la teoría de la sobrecarga de estímulos. Además, el estudio investiga si el comportamiento proambiental de los residentes modera los impactos negativos del turismo en el ecosistema local, profundizando en su potencial papel mitigador.

Utilizando un muestreo intencional o por juicio, se recogieron datos de residentes vinculados a organizaciones gubernamentales y no gubernamentales, universidades, institutos y escuelas, así como a personas del sector empresarial que engloba hoteles, restaurantes y cafeterías, mercados y activistas sociales que participan activamente en asuntos comunitarios.

El análisis de 920 cuestionarios mediante un modelo de ecuaciones estructurales demuestra que la masificación turística presenta una correlación negativa con el turismo sostenible y las reacciones de aproximación, pero una correlación positiva con las reacciones de evitación. Además, el análisis de moderación sugiere que a medida que mejora el comportamiento proambiental de los residentes, disminuye el impacto negativo de la masificación turística sobre el turismo sostenible.

El estudio presenta numerosas implicaciones para los responsables políticos y la industria turística, destacando la necesidad de comprender las percepciones de los residentes sobre la masificación turística y el turismo sostenible. Se subraya la importancia de implicar a los residentes en el proceso turístico para alcanzar objetivos de sostenibilidad.

La novedosa aportación teórica radica en la aplicación de la teoría de la sobrecarga de estímulos para examinar la masificación turística y el turismo sostenible, específicamente desde la perspectiva de los residentes.

This paper seeks to revisit the interrelationship among tourists’ perceived value of the destination, tourist satisfaction and destination loyalty in the heritage tourism site of Hoi An. In addition, the moderating role of tourists’ perceived crowding, which has become remarkably common at the site, in such a triangle relationship will also be explored. In other words, this study aims to validate an extended model of perceived value – tourist satisfaction – destination loyalty – perceived crowding.

The study collects data from 403 tourists who visited Hoi An during peak season through an online questionnaire. The data were later analysed using AMOS and Warp partial least squares.

The results validate the significant and positive correlation among perceived value, customer satisfaction and destination loyalty. Also, perceived crowding was confirmed to affect the relationship among these three variables negatively. In terms of academic contributions, this paper empirically proved that low levels of tourist satisfaction and destination loyalty among tourists who highly value their visiting experience at World Heritage Sites (WHS) can be caused by perceived crowding.

So far, current literature has investigated the direct (either positive or negative) relationship between perceived crowding and post-visit behaviours of tourists (Nie et al., 2022; Papadopoulou, Ribeiro, & Prayag, 2023; Stemmer, Gjerald, & Øgaard, 2022). Broadening this area of research, the authors of this paper used the social interference theory and the stimulus-overload theory to explain the low level of tourist satisfaction and destination loyalty among tourists who highly value their visiting experience at WHS.

Crowded urban regions pose a complex urban challenge that can adversely affect urban residents, encompassing aspects like mental and physical well-being, overall livability and quality of life. The complexity in determining the factors influencing the crowding perception, which encompass subjective and situational psychological factors alongside physical and environmental attributes, imparts ambiguity to planners' approach. This study aims to unravel the intricate interplay between crowding and the physical attributes inherent in the built environment.

This literature review analyses theories linking urban planning and environmental psychology to uncover gaps in the relationship between urban design principles and residents' perceptions of crowding. It also explores influential variables affecting crowding perception and diverse methodologies across contexts.

The study built upon a broad literature review which is expected to summarise and classify the variables of urban planning components and approaches according to their impacts on the psychological perception of crowding. Furthermore, highlighting a number of recommendations that can be considered a guide for planners and urban designers to enhance the urban experience and reduce the perception of crowding.

This study seeks to improve the overall experience of crowding in densely populated urban areas. It accomplishes this by identifying influential factors and comprehending the associated outcomes in such contexts. Furthermore, it bridges perspectives from various fields to examine relevant policies and strategies to mitigate crowding consequences.

Based on the construal level theory, the purpose of this study is to prove the effect of interaction between construal level and visual crowding on consumers' buying intention. The study tries to explain the reasons behind the different buying intention toward visual crowding among consumers with different construal level.

This study was conducted through two situational simulation experiments. The main data analysis methods are ANOVA and bootstrap analysis.

(1) the matching of construal level and visual crowding has a significant effect on consumers’ buying intention. (2) Perceptual fluency mediates the interaction between the construal level and visual crowding on buying intention.

This study measures consumers' buying intention through situational experiments but does not measure consumers' buying behavior through real scenarios.

According to the study conclusions, consumers prefer visually crowded packaging that matches their construal level. Enterprises should consider the impact of the construal level on the effect of packaging stimulation.

This study enriches the theory related to construal level and highlights the mediating role of perceptual fluency. The addition of perceptual fluency explains the mechanism by which visual crowding affects consumers' buying intention. This extends the research on the antecedents and effects of perceptual fluency.

This study innovatively introduces visual crowding into packaging and matches visual crowding to construal level, explaining why different consumers buy different visually crowded packaging.

Based on the construal level theory, this research study examines the interactive effect between social crowding and corporate social responsibility (CSR) statement type on consumers' purchase intention.

The authors conducted two empirical experiments on a total of 508 subjects.

There is an interactive effect between social crowding and CSR statement type on consumers' purchase intention. Specifically, in high social crowding situations, concrete CSR statements lead to consumers' higher purchase intention, while in low social crowding situations, abstract CSR statements lead to consumers' higher purchase intention. Self-construal and processing fluency play a moderating and mediating role in the mechanism.

This research study contributes to the theoretical understanding of the interaction between social crowding and CSR statements, enriching the field of consumer behavior research on social crowding. Additionally, it offers practical insights for enterprises on how to present CSR information in crowded situations.

This study aims to explore the good crowding effect among Indian domestic travellers during the COVID-19 pandemic in the context of the city destination. This study uses the framework of social motivation theory to achieve the objective.

This study adopted a qualitative research design by taking the case of Shimla, Himachal Pradesh. Using purposive sampling, semi-structured interviews were conducted with 37 respondents, and themes were drawn manually.

The analysis found four themes that create a good crowding effect among domestic tourists, namely, convenience and price; familiarity and place attachment; social affiliation; and safety. The themes indicated that despite the pandemic, and constant occurrences of new variants, Indian domestic tourists’ on-site attitude towards crowding was favourable.

Firstly, the good crowding effect during the pandemic could have been better understood using empirical data. Secondly, the results cannot be generalized, specifically for developed economies.

This study offers practical implications to destination managers and local administrative bodies for whom achieving sustainability in urban tourism has always been concerning. These include developing infrastructural facilities, encouraging cultural activities in city centres and improving the perception of safety to sustain the good crowding effect.

The affective dimension involved in making a travelling decision played a significant role in the post-pandemic phase. While suppliers needed survival, tourists needed social affiliation and escape from the mandated home isolation due to multiple phases of COVID-19 lockdown in India. This study adds value to society by emphasising that the need for social affiliation among travellers remains intact, and the tourism industry should embrace this transformation.

While most of the pandemic-related studies criticised crowd and tourists’ crowd averting behaviour, this study reported that the good crowding effect could also be an outcome owing to different factors. Therefore, this study offers distinctive nuance of tourists’ behaviour in the post-COVID-19 phase, allowing destination managers and tourism stakeholders to re-think their strategies.

The purpose of the study is to investigate the correlation between credit supply to government and credit supply to the private sector to determine whether there is a crowding-out or crowding-in effect of credit supply to government on credit supply to the private sector.

The study used data from 43 countries during the 1980–2019 period. The study employed the Pearson correlation methodology to analyze the data.

There is a significant positive correlation between credit supply to government and credit supply to the private sector. There is also a significant positive relationship between credit supply to government and credit supply to the private sector, implying a crowding-in effect of government borrowing on private sector borrowing. The positive correlation between credit supply to government and credit supply to the private sector by banks is stronger and highly significant in the period before the Great Recession, while the positive correlation is weaker and less significant during the Great Recession, and the correlation further weakens after the Great Recession. The regional analyses show that the positive correlation between credit supply to government and credit supply to the private sector by banks is stronger and highly significant in the African region than in the Asian region and the region of the Americas.

There is no evidence on the correlation between credit supply to government and credit supply to the private sector during the Great Recession.

Our study aims to evaluate the impact of infrastructure and public investment on private investment in machinery and equipment in Brazil from 1947 to 2017. The contribution of our article to the existing literature lies in providing a more comprehensive understanding of the presence or absence of the crowding effect in the Brazilian economy by leveraging an extensive historical database. Our central argument posits that the recent decline in private capital accumulation over the last few decades can be attributed to shifts in economic policies – moving from a developmentalist orientation to nondevelopmental guidance since the early 1990s, which is reflected in the diminished levels of public investment and infrastructure since the 1980s.

We conducted a series of econometric regressions utilizing the autoregressive distributed lag (ARDL) model as our chosen econometric methodology.

Employing two different variables to measure public investment and infrastructure, our results – robust across various specifications – have substantiated the existence of a crowding-in effect in Brazil over the examined period. Thus, we have empirical evidence indicating that the state has influenced private capital accumulation in the Brazilian economy over the past decades.

Our article contributes to the existing literature by offering a more comprehensive understanding of the crowding effect in the Brazilian economy, utilizing an extensive historical database.

Overcrowding continues to afflict emergency departments (EDs), and its attendant consequences are becoming increasingly severe. The burden of the COVID-19 pandemic is further escalating the situation worldwide. One of the most critical questions is how to adequately quantify what constitutes overcrowding and determine implications for operations management in improving service efficiency. This paper aims to discuss the aforementioned.

The authors propose the time and class complexity measures for ED service systems, taking into account important patient-level and system characteristics. Using an extensive data set from a Canadian ED, the authors investigate the performance of complexity-based measures in predicting service delays.

The authors find that the complexity measure is potentially more important than some well-known crowding metrics. In particular, EDs can improve service efficiency by managing the level of complexity within a desirable interval. Furthermore, complexity exposes how the interplay between demand-side behavioral changes and supply-side responses affects operational performance. Moreover, the results suggest that arrival patterns—the number of patients of each class arriving per time and times between events (arrivals and service completions)—increase the risk of service delays more than the demand volume.

This paper is the first to provide an extensive investigation into the application of the complexity-based measure for ED crowding. The study demonstrates potential values to be gained in ED service systems if complexity measure is incorporated into their operations management decisions.

This paper aims to present a novel multi-objective version of the Gorilla Troops optimizer (GTO), based on crowding distance, to achieve the optimal design of a brushless direct current motor.

In the proposed algorithm, the crowding distance technique was integrated into the GTO to perform the leader selection and also for the external archive refinement from extra non-dominated solutions. Furthermore, with a view to improving the diversity of non-dominated solutions in the external archive, mutation operator was used. For constrained problems, an efficient strategy was adopted. The proposed algorithm is referred to as CD-MOGTO.

To validate the effectiveness of the proposed approach, it was initially tested on three constrained multi-objective problems; thereafter, it was applied to optimize the design variables of brushless direct current motor to concurrently fulfill six inequality constraints, maximize efficiency and minimize total mass.

The results revealed the high potential of the proposed algorithm over different recognized algorithms in solving constrained multi-objective issues and the brushless direct current motors.