Types Of Venues Research Articles

Toward a Typology of the Client: A Latent Class Analysis Approach to the Consumption of Sex Work in the United States

ABSTRACT Previous research on male clients of sex workers has emphasized the diversity of purchasing behaviors; however, we know little about how to organize or categorize this diversity quantitatively. I employed latent class analysis with survey data from cisgender male clients of primarily cisgender female sex workers in the United States to organize client consumption patterns by the type of venue used to contact sex workers and the frequency of using each venue. I found that patterns of consumption emerged around the frequency and context in which sex work is negotiated, generating six distinct patterns of buying: generalists, internet-only buyers, brothel-only buyers, experimenters, routinized buyers, and opportunists. I used multinomial logistic regression to identify relationships between latent class membership, known covariates, and self-reported motivations for purchase. Classes had small but significant demographic differences around age, income, marital status, arrest history, and international sex work engagement. Motivational differences were observed across classes, including the importance of emotional connection, practicing sexual skills, and relaxation. Implications for future research are discussed.

Place Generator and Place Interpreter: a new methodology to collect data on regular mobility patterns

AbstractWhen observing the temporal trajectory of an individual, there is a high probability of them visiting an already-known place due to habit and routine in human mobility behavior. To collect data and understand these routine activities, we propose the Place Generator and the Place Interpreter, a survey adapted from the Name Generator and Name Interpreter methodology of social network studies for travel behavior. In the survey, we asked the participants to name the venues they regularly visit for leisure by category. This methodology captures the characteristics of the venues and the reasons to be chosen. We tested this method in the Zurich Metropolitan Area in Switzerland, focusing on leisure activities and the social environment of the venues. Hence, we ask the individuals to describe the reasons for choosing that specific location and the sociodemographic characteristics of the other visitors. This methodology worked well when compared with earlier long-duration GPS tracking surveys. Respondents report, on average, 9.85 locations for nine types of venues, mainly supermarkets and restaurants or cafes, and respondents can describe their similarities with other visitors to that location. The survey is complemented with a survey of sociodemographic characteristics and the respondent’s ego-centric social network to get information on social connections and their impact on leisure activity.

The Church Museums’ Evolution of the Idea and Methods of Missionary Work in China: A Study of Tsinanfu Institute

The Church Museums’ Evolution of the Idea and Methods of Missionary Work in China: A Study of Tsinanfu Institute

Use of UK faith Centre as a COVID-19 community vaccination clinic: exploring a potential model for community-based health care delivery.

Effective and safe vaccines against COVID-19 are essential to achieve global control of the coronavirus (SARS-CoV-2). Using faith centres may offer a promising route for promoting higher vaccine uptake from certain minority ethnic groups known to be more likely to be vaccine hesitant. This cross-sectional study explored attendees' perceptions, experiences of being offered, and receiving COVID-19 vaccination in a local mosque in Woking, Surrey, UK. About 199 attendees completed a brief questionnaire on experiences, views, motivations about attending the mosque and vaccination on site. The most common ethnic groups reported were White British (39.2%) and Pakistani (22.6%); 36.2% identified as Christian, 23.6% as Muslim, 5.5% as Hindu, and 17.1% had no religion. Genders was relatively equal with 90 men (45.2%) and 98 women (49.2%), and 35-44-year-olds represented the most common age group (28.1%). Views and experiences around receiving vaccinations at the mosque were predominantly positive. Primary reasons for getting vaccinated at the mosque included convenience, accessibility, positive aspects of the venue's intercultural relations, and intentions to protect oneself against COVID-19, regardless of venue type. Negative views and experiences in regards to receiving the vaccination at the mosque were less common (7% expressed no intention of recommending the centre to others), and disliked aspects mostly referred to the travel distance and long waiting times. Offering COVID-19 vaccination in faith centres appears acceptable for different faith groups, ensuring convenient access for communities from all religions and ethnic backgrounds.

Acoustic Comfort in Indoor Sporting Arena for E-Sports Venue: An Analysis of The Determining Criteria and A Conceptual Framework

It is vital that people concentrate and focus on the types of sports and amenities in the context of sports facilities to provide acoustic comfort for players and fans. Thus, influences the positive or negative psychological and emotional impact experience during the sports matches. Esports events are mostly organized in enclosed spaces facilities such as indoor arenas or stadiums, which are spaces where speech intelligibility and noise level determine, to a large extent, the listening comfort or even the safety of the occupants. More noise may distract players throughout the match and during the match, interfering with their performance and communication with coaches if there is no proper sound blocking or insulation. This research will look at critical literature studies of the defining elements and criteria for this occurrence to develop a conceptual framework for how players, coaches, and spectators experienced acoustic comfort in various types of Esports venue. The primary goal of this research is to clarify the differences in Esports venue design and the determining factors that influence human acoustic comfort. As a result, the goal of this study is to create a framework based on the elements that determine acoustic comfort classification in Esports venues. Designers and architects able to utilize this framework as a guide to assist them prepare estimates of acoustic conditions and corrective activities in Esports venue which tailored suited to players, as well as the effects on staffs and spectators, thus create a highly immersive experience.

Agile human resource management: A systematic mapping study

Agile HR is well-established in practice and has emerged as an exciting research area in the last 4 years. However, no comprehensive review of the literature on this subject has been conducted. The aim of this paper is to map the current state of agile HR research. We conducted a systematic mapping study and found 86 relevant primary studies. Our findings are organised into seven research topics that fall into two major themes: Agile for HR; how the HR function adopts agile practices, and HR for Agile; how the HR function supports an agile organisation. The HR for Agile theme is more mature, with more research papers, proposed models, and frameworks. We also review the types of publications, venues, and research methods. The body of publications is fragmented and diverse, with most articles published after 2019, primarily in multidisciplinary journals, incorporating a mix of theoretical and empirical approaches. The paper contributes a thematic analysis of research topics, a comparison of traditional with agile HR practices, a list of theories and models used, a new definition of agile HR, research gaps in the literature, and an agenda for future research. Contributions to practice include findings that agile HR practices benefit organisations, that agile talent acquisition facilitates organisational agility, and that HR can transition to agility by making small changes to their practices rather than undergoing radical change. More academic work needs to be done on agile HR to improve conceptual clarity, theory building and development, understanding benefits and value for the business, identifying challenges, understanding contextual factors, and critically exploring outcomes.

Understanding the dynamics of compliance to smoke-free policy regulations: Exploring the perspectives of venue owners and staff in Türkiye.

The study aims to understand the facilitators and barriers associated with enforcing and complying with Türkiye's smoke-free policy from the perspective of hospitality venue owners and employees. A qualitative open-ended survey was conducted in Istanbul and Ankara in 2021 with 58 respondents from 3 different districts in each city from four types of venues: restaurants, traditional coffee and waterpipe houses, and European-style cafés. The open-ended survey included questions to understand the knowledge, beliefs, and attitudes of respondents about Türkiye's smoke-free policy and their perceptions of the facilitators and/or barriers to smoke-free policy implementation and changes after COVID-19. The data were analyzed using an inductive approach to identify patterns and categorize the data into themes. The respondents expressed that the smoke-free policy aimed to protect employees and customers from secondhand smoke (SHS), respect human health, and improve air quality. Findings suggest that the positive attitude of venue owners and staff toward the smoke-free policy serves as a facilitator. However, fear of financial impact, customers' negative attitudes, difficulties in meeting physical requirements, and insufficient enforcement were found to be barriers to implementing the smoke-free policy. The effects of the COVID-19 pandemic were reported as an initial increase in compliance and awareness among customers and staff, but some respondents noted negative changes due to the emotional and financial effects of prolonged restrictions. These challenges have led to decreased attention on the smoke-free policy among venue owners, staff and customers. Respondents' suggested improvements were related to building infrastructure, such as the ventilation systems and educating the public on the harmful health effects of smoking. Despite the general understanding of the dangers of secondhand smoke and the smoke-free policy, this study highlights the challenges in implementing smoke-free policy measures and the continued need to raise awareness about the importance of a 100% smoke-free venue. A comprehensive approach to addressing the tobacco epidemic as a multifaceted public health issue is essential.

Personalized Sports Health Recommendation System Assisted by Q-Learning Algorithm

In response to the current problem of single sports plan and lack of long-term motivation in recommendation systems, a more intelligent personalized sports health recommendation system was designed by introducing Q-Learning (Quality Learning) algorithm. Firstly, user sports health data was collected, and the user model was constructed to track user sport preferences and historical behavior. Secondly, the sports environment was defined, including different types of sports activities, venues, and weather. Then, the reward function was formulated to reward and punish users based on their sports activities and goals, in order to maximize long-term health benefits. Finally, the Q-Learning algorithm was implemented to continuously iteratively learn and optimize user recommendation models to provide the best personalized sports recommendations. For personalized accuracy, indicators such as precision, recall, F1 value, MAE (Mean Absolute Error), and RMSE (Root Mean Square Error) were used to evaluate, while the system’s participation in sports, user satisfaction, long-term incentive effects, and overall health improvement were collected. The results showed that the average precision of the recommendation system on 10 different datasets was 88%, and the average AUC (Area Under Curve) was 96%, which was 6.7% higher than the SVD (Singular Value Decomposition) algorithm. The user’s sports persistence rate was improved by 25%, and the health score was improved by about 13.3%. These data not only reflect the superior performance of the recommendation system but also highlight its positive impact on long-term user motivation and overall health levels. The results indicate that the proposed personalized exercise health recommendation system, assisted by the Q-Learning algorithm, has significantly improved accuracy. Moreover, it offers users more intelligent and personalized exercise suggestions, effectively increasing long-term participation in physical activities and overall health levels.

The Role of Beach Bars in Wrocław’s Local Music Scene

Abstract The paper discusses Wrocław’s beach bars, i.e. open-air riverside facilities which (as the name suggests) mostly possess artificial sandy beaches. This importance of this type of venue, relatively new in Wrocław, for the local music life is constantly growing. The text characterises these urban spaces (which have been of only marginal interest to Polish scholars to date) and defines their place in the city’s popular music scene in relation to traditional forms of that repertoire’s presence. In his survey of local musical practice, the author refers to the city’s sonic identity (soundscape), which is co-created by urban artists. The paper covers the period of the author’s field research in 2019–2021 as well as his later observations which indicate potential directions of beach bars’ development and confirm their growing role in shaping Wrocław’s local music scene.

Risk evaluation of venue types and human behaviors of COVID-19 outbreaks in public indoor environments: A systematic review and meta-analysis

Despite increasing vaccination rates, the incidence of breakthrough infections with COVID-19 has increased due to the continued emergence of new variants of the SARS-CoV-2 coronavirus. Therefore, Non-pharmaceutical interventions remain the most effective measures for coping with the ever-changing pandemic. The lifting of compulsory interventions has made individuals primary responsibility for their own health, which highlights the importance of increasing awareness of the infection risk from the environment in which they live and their individual behaviors. We systematically searched PubMed, Web of Science, ScienceDirect, and Scopus on April 17, 2023, for all studies reporting COVID-19 outbreaks in public indoor venues. The study outcome was the attack rate. A total of 42 studies, which included cross-sectional studies, cohort studies, and case studies, reporting data on 1951 confirmed cases in 64 COVID-19 outbreaks satisfied the meta-analysis and were included in the review. A random-effect model was used in the meta-analysis, and subgroup analyses were conducted to investigate factors affecting attack rates. We found a strong level of evidence (p < 0.01) supporting a higher pooled attack rate in recreation-related venues (0.44, 95% CI: 0.30 to 0.60) than in work-related venues (0.21, 95% CI: 0.16 to 0.27). Compared to those outbreaks without that, outbreaks with high-intensity exercise, vocalization, contact behavior, or close body proximity had a higher attack rate of 0.51, 0.55, 0.33, and 0.39, respectively. Further studies suggest that different attack rates across different types of settings may be the result of heterogeneity in exposed people's behaviors. There were significant heterogeneities that may limit the interpretation of connections between influencing factors and outbreak outcomes. The identification of key behaviors that may contribute to transmission risk, and their correlation with venue type, has important implications for the development of future public health interventions and individual prevention strategies for respiratory infectious diseases such as COVID-19.

Parents' and teachers' perceptions of the Australian primary school food provision venues and food-related policies

PurposeThis study aims to gain an understanding from parents and teachers about the types of food provision practices and venues, and the food-related policies and rules in primary schools in Australia; and investigate any differences in the presence of policies and rules based on the school location and school type.Design/methodology/approachData were collected via two online surveys from August 2019 to March 2020. Descriptive statistics were employed to analyse quantitative responses. Respondents' written responses to food-related policies were categorised into groups.FindingsThe two most common food provision services were canteen and lunch order services (mentioned by 72 and 55% of respondents, respectively). Of the 425 respondents whose schools had a canteen (parents and teachers together), 62% reported their school implements a healthy school canteen policy. Significantly more parents compared to teachers, and more respondents from government schools compared to non-government schools stated that their school had implemented such a policy. Approximately half of the respondents (47%) stated their school had implemented other food-related policies and/or rules. These policies or rules belonged to four categories: avoiding certain foods, avoiding food sharing, avoiding food packages and promoting healthy eating.Originality/valueThis study shows the disparities exist in implementing food-related policies among primary schools in Australia. Nutrition promoters and policy planners should consider these results and find the best mechanisms to minimise the gaps in policy implementation.

Assessing the ‘forgotten fundamental’ in policy advisory systems research: Policy shops and the role(s) of core policy professionals

AbstractDuring the past 30 years, research on policy analytical capacity's multidimensional nature and the evolution of policy advisory systems (PASs) has both increased knowledge of these processes and structures and opened new avenues of inquiry. While it is clear that changes in PASs in many countries have occurred ‐ featuring processes such as the increased externalisation and politicisation of policy advice ‐ studies of changes among the roles played by core policy professionals in advice provision have lagged. One aspect of this question concerns the nature and extent of changes in this ‘forgotten fundamental’ of advice systems related to how these professionals are arrayed within ‘policy shops’—that is organisational units identified in the 1960s and 1970s as the main organisational home of policy professionals in government. Whether or not such shops have changed from the central‐integrated model identified in early studies and, if so, how, remain outstanding and foundational questions. Recent research in Canada has mapped the distribution of policy professionals at the central and provincial level and found more types of analysts and venues than in earlier eras— which range from the ‘classical’ integrated policy shops of the 1960s and 1970s which remain in central agencies and single‐purpose line departments to the much more 'distributed' patterns found in many departments dealing with multiple or complex controversial issues. Using Canadian data, this study outlines the development of these organisational types and their distribution in government and discusses the implications of these changes for better understanding the work, and needs, of core professionals in policy advice systems. .Points for practitioners ‘Policy professionals’ or public employees specifically tasked with policy analysis in government are key players in policy advisory systems despite the addition of more external and internal actors in policy advice systems in recent years. How these advisors and analysts are organised in government, whether they work in clusters or small groups, and how they interact with other civil servants and policy‐makers are a key determinant of their activities and influence in policy‐making. In the policy sciences, work in the 1960s and 1970s established ‘the policy shop’, that is relatively small centrally located organisational units employing mainly policy analysts, as the main home of policy professionals in government. These units often enjoyed a monopoly in analysis and played a key role in policy‐making. However, research on these organisations has not kept up with changes in advisory relations within and outside of governments and the impact such changes have had on the influence and activities of core professionals. Recent work by the authors looking at the large Canadian province of Ontario has identified more than a single type of arrangement of analysts in the current era. This paper expands this analysis to both small and large jurisdictions in Canada, including the federal government, and develops two detailed case studies of the current organisation of policy professionals in smaller central agencies like Ministries of Justice as well as in larger omnibus Ministries of the Environment. The study finds a ‘distributed’ model of policy shops—in which multiple policy units exist throughout the agency—to be dominant in both cases and in all the governments examined and suggests this is now the new normal, replacing the dominance of the older more integrated central shop model. The predominance of the distributed model contributes to the fragmentation of policy advice already underway in government due to the growth in the number of external advisors such as consultants and think tanks, and internal ones such as political staffers.

Personalized literature recommendation based on heterogeneous entity academic network

Although researchers have benefited from big scholarly data, it is still very difficult for them to quickly and accurately find the suitable literature in the massive literature. In recent years, the research on personalized literature recommendation with the help of academic data has gradually attracted the attention of scholars. However, the existing works are mainly based on the similarity of literature content, and ignore the important information of scholars such as research fields and affiliations, which leads to insufficient personalization of recommendation results and there is still room for improvement in accuracy. In this paper, a new personalized literature recommendation method named PR-HeAN is proposed. This method also considers the similarity of literature, and more importantly, introduces a heterogeneous entity academic network. It combines the literature similarity obtained from a K-order literature co-citation network with the literature recommendation probability obtained from the heterogeneous entity academic network to generate the recommendation results. The heterogeneous network is generated from the K-order literature co-citation network, which integrates five types of academic entities, including literature, scholars, research fields, affiliations and publication venues, and enriches the representation information of the literature. The experimental results on two datasets show that the proposed method outperforms four baseline algorithms in terms of recall, accuracy and F1 value.

The Implementation of CDC COVID-19 Recommendations for Testing, Isolation, Quarantine and Movement at Emergency Intake Sites of Unaccompanied Children in the United States, April 1–May 31, 2021

In March 2021, Emergency Intake Sites (EIS) were created to address capacity shortfalls during a surge of Unaccompanied Children at the Mexico-United States land border. The COVID-19 Zone Plan (ZP) was developed to decrease COVID-19 transmission. COVID-19 cumulative percent (%) positivity was analyzed to evaluate the impact of the ZP, venue type and bed capacity across EIS from April 1–May 31, 2021. Results: Of 11 EIS sites analyzed, 54% implemented the recommended ZP. The overall % positivity was 2.47% (95% CI 2.39–2.55). The % positivity at EIS with the ZP, 1.83% (95% CI 1.71–1.95), was lower than that at EIS without the ZP, 2.83%, ( 95% CI 2.72–2.93), and showed a lower 7-day moving average of % positivity. Conclusion: Results showed a possible effect of the ZP on % positivity when controlling for venue type and bed capacity in a specific EIS group comparison, indicating that all three variables could have had effect on % positivity. They also showed that smaller intake facilities may be recommendable during public health emergencies.

The role of selected pre-match covariates on the outcome of One-day International (ODI) cricket matches.

The identification of key factors that systematically influence a team's success is important and has led to the application of statistical models in sport. Predicting the outcome of a One Day International (ODI) cricket match, using only pre-match covariates, has been minimally investigated. This research sought to investigate the impact that venue, toss outcome, toss decision, and match type have on the chances of winning an ODI match. A total of 1228 men's international ODI matches were analysed. A logistic regression model was used to identify the significance of these pre-match covariates on the result of the matches. The results varied across all teams, suggesting that there are individualised factors driving these differences and that generalising the impact pre-match covariates have in every team is unrealistic. New Zealand and India displayed a significant home advantage effect, whereas Australia had a strong tendency towards a significant disadvantage when they won the toss. However, for most teams, toss outcome, toss decision, and match type did not significantly impact the outcome of an ODI match. New Zealand and Australia were the most predictable teams, whereas South Africa and Pakistan were regarded as unpredictable when pre-match covariates were used to forecast the outcome of their ODI matches.

Behaviour driven development: A systematic mapping study

Context:Behaviour Driven Development (BDD) uses scenarios written in semi-structured natural language to express software requirements in a way that can be understood by all stakeholders. The resulting natural language specifications can also be executed to reveal correct and problematic parts of a software. Although BDD was introduced about two decades ago, there is a lack of secondary studies in peer-reviewed scientific literature, making it difficult to understand the state of BDD research and existing gaps. Objective:To understand the current state of BDD research by conducting a systematic mapping study that covers studies published from 2006 (when BDD was introduced) to 2021. Method:By following the guidelines for conducting systematic mapping studies in software engineering, we sought to answer research questions on types of venues in which BDD papers have been published, research types, contribution types, studied topics and their evolution, as well as evaluation methods used in published BDD research. Results:The study identified 166 papers which were mapped. Key results include the following: the dominance of conference papers; scarcity of research with insights from the industry; shortage of philosophical papers on BDD; acute shortage of metrics for measuring various aspects of BDD specifications and the processes for producing BDD specifications; the dominance of studies on using BDD for facilitating various software development endeavours, improving the BDD process and associated artefacts, and applying BDD in different contexts; scarcity of studies on using BDD alongside other software techniques and technologies; increase in diversity of studied BDD topics; and notable use of case studies and experiments to study different BDD aspects. Conclusion:The paper improves our understanding of the state of the art of BDD, and highlights important areas of focus for future BDD research.

Terrorist Attacks against Sports Venues: Emerging Trends and Characteristics Spanning 50 Years.

Sports venues foster community and support local economies. Due to their capacity to host hundreds to thousands of spectators, sports venues are vulnerable to becoming targets of terrorism. Types of venues targeted, regional trends, and methods of attack employed world-wide have not been well-described. A search of the Global Terrorism Database (GTD) was conducted from 1970 through the end of 2019. Pre-coded variables for target type "business" and target subtype "entertainment/cultural/stadium/casino" were used to identify attacks involving venues where sports events might be viewed by spectators as part of an audience. Sports venues were specifically identified using the search terms "sport," "stadium," "arena," and "ring," as well as mention of any specific sport. Two authors then manually reviewed each entry for specific information to confirm appropriateness for inclusion, selecting preferentially for attacks against venues where watching a sports event was the primary focus for the majority of the attendees. Descriptive statistics were performed using R (3.6.1). Seventy-four (74) terrorist attacks targeting sports venues were identified from January 1, 1970 through December 31, 2019. Thirty-three (33) attacks, or 44.6% of attacks, involved soccer stadiums or soccer venues, while 33.8% of attacks (25 attacks) involved unspecified sports venues. A bombing or explosion was the most frequent method of attack employed, comprising 87.8% of attacks. The highest number of attacks occurred in the Middle East & North Africa. In total, 213 persons died and 699 more were wounded in attacks against sports venues. Although terrorist attacks against sports venues are uncommon, they carry the risk of mass casualties, especially when explosives are used. A greater understanding of the threat posed by terrorist attacks against sports venues can aid emergency preparedness planning and future medical responses.

Measuring the Audience Experience at the Jazzaldia Festival, San Sebastian, Spain

Audience research in the cultural sector has been increasingly gaining the attention of researchers and practitioners. This article explores audience experience as an interactive cocreated process between audiences and the program offer in the jazz festival context. As a result of this interaction, each such experience is unique, and the perceived value differs from one to the other. Inspired by previous research on audience experience in the field of theater performances and musicals, we applied the Art Audience Experience Index to the context of jazz festivals, in this case, a well-established and successful Basque festival: Jazzaldia Festival, San Sebastián (Spain). The Index measures four indicators: Knowledge, Risk, Authenticity, and Collective Engagement. These were utilized to identify cocreation links between festival setting features (paid vs. free admission and indoor vs. outdoor venue) and audience profiles (education level and music background). The results are obtained from 406 valid questionnaires and reveal the importance audiences give to their live music experience in general, and their satisfaction with jazz concerts in relation to festival concerts' admission, type of venue, participants' educational level, and music background. This study contributes to the body of knowledge on audience experience in jazz festivals by employing a tested methodological tool that has not been previously applied in the concert or festival setting. Furthermore, our work may help cultural managers acquaint themselves with their audiences to a greater extent, and incite reflection on interventions that might enhance the experience of their audiences.

Prediction and Classification of User Activities Using Machine Learning Models from Location-Based Social Network Data

The current research has aimed to investigate and develop machine-learning approaches by using the data in the dataset to be applied to classify location-based social network data and predict user activities based on the nature of various locations (such as entertainment). The analysis of user activities and behavior from location-based social network data is often based on venue types, which require the input of data into various categories. This has previously been done through a tedious and time-consuming manual method. Therefore, we proposed a novel approach of using machine-learning models to extract these venue categories. In this study, we used a Weibo dataset as the main source of research and analyzed machine-learning methods for more efficient implementation. We proposed four models based on well-known machine-learning techniques, including the generalized linear model, logistic regression, deep learning, and gradient-boosted trees. We designed, tested, and evaluated these models. We then used various assessment metrics, such as the Receiver Operating Characteristic or Area Under the Curve, Accuracy, Recall, Precision, F-score, and Sensitivity, to show how well these methods performed. We discovered that the proposed machine-learning models are capable of accurately classifying the data, with deep learning outperforming the other models with 99% accuracy, followed by gradient-boosted tree with 98% and 93%, generalized linear model with 90% and 85%, and logistic regression with 86% and 91%, for multiclass distributions and single class predictions, respectively. We classified the data using our machine-learning models into the 10 classes we used in our previous study and predicted tourist destinations among the data to demonstrate the effectiveness of using machine learning for location-based social network data analysis, which is vital for the development of smart city environments in the current technological era.

Using crowd-sourced data to optimize conversational sound levels in hospitality venues

One of the top complaints about a restaurant is usually related to noise. The sound level in a venue can significantly affect whether or not a customer will return. Statistical analysis of the crowdsourced data collected with the SoundPrint smartphone app at more than 10,000 U.S.-based hospitality venues (restaurants, coffee shops, and bars) provides a comparison of the objective sound level data versus the patrons’ subjective ratings for conversational ability. These insights show a customer's tolerance for noisy environments can be highly dependent on the venue type, specifically when communication is important. The findings can also help venue managers know what interior sound levels to target when optimizing the acoustics for their venue, whether by reducing background noise levels or improving acoustical treatments, in order to attract and keep their patrons happy.