Design Model of Urban Leisure Sports Public Facilities Based on Big Data and Machine Vision

Sports facilities are the material basis for people to participate in physical exercise. The construction of facilities is conducive to improving people’s health and their expectations for a happy life. Sports facilities are part of the infrastructure. The reasonable layout of sports facilities is conducive to shortening the gap between urban and rural areas, achieving common economic prosperity, and promoting social harmony and unity. Public sports facilities are of great significance to urban construction and people’s daily lives. Based on big data and machine vision, this document constructs a big data model framework for urban public sports and leisure facilities, quantifies the diversity and overall coordination of sports facilities, and conducts simulation experiments on the designed urban leisure and sports public facility model. The experimental results show that compared with the traditional method, this method effectively improves the coverage of urban leisure and sports public facilities, and the space utilization rate is increased by 15.32% compared with the traditional method, which maximizes the use of regional space and makes it more convenient for urban residents. It can carry out physical exercise quickly and improve the quality of life of residents.

Quantifying and Characterizing Urban Leisure Activities by Merging Multiple Sensing Big Data: A Case Study of Nanjing, China

Studying the spatiotemporal pattern of urban leisure activities helps us to understand the development and utilization of urban public space, people’s quality of life, and the happiness index. It has outstanding value for improving rational resource allocation, stimulating urban vitality, and promoting sustainable urban development. This study aims at discovering the spatiotemporal distribution patterns and people’s behavioral preferences of urban leisure activities using quantitative technology merging ubiquitous sensing big data. On the basis of modeling individual activity traces using mobile signaling data (MSD), we developed a space-time constrained dasymetric interpolation method to refine the urban leisure activity spatiotemporal distribution. We conducted an empirical study in Nanjing, China. The results indicate that leisure plays an essential role in daily human life, both on weekdays and weekends. Significant differences exist in spatiotemporal and type selection in urban leisure. The weekend afternoon is the breakout period of leisure, and entertainment is the most popular leisure activity. Furthermore, the correlation between leisure resource allocation and leisure activity participation was argued. Our findings confirm that data-driven approaches would be a promising method for analyzing human behavior patterns; therefore, assisting in land planning decisions and promoting social justice and sustainability.

The student urban leisure sector: Towards commercial studentification?

The case study of the student urban leisure sector in Lodz, Poland, presented in this paper encourages the reader to look at cities through the lens of the expansion of consumerism and higher education. While the mainstream of the literature dealing with students as an urban population covers accommodation issues, this paper focuses on the development of the leisure economy. To these ends, it looks at students as customers and workers of the leisure venues. The paper shows that in these venues, students are not just sizeable groups of customers but also employees. Therefore, the central areas of Lodz do not function solely as student playscapes but also as students’ places of work. Moreover, in contrast to the insights from prior studentification research, in which students were frequently reported as unwanted neighbours, in the eyes of leisure providers in Lodz, students are often kind customers and hard-working employees. Therefore, this paper argues for the nuanced treatment of students in research on cities by including a broader spectrum of roles students have as actors of urban change. The paper ends with a methodological standpoint that research into students in cities may benefit from applying the perspective of commercial studentification.

Regulating Resort Revelry: Alcohol, Music, and the Entertainment Market in Miami Beach, 1935–1955

Miami Beach was the nation’s premier winter resort between the 1930s and the 1950s. The city attracted a diverse crowd of visitors, some interested in a peaceful respite from the frigid north, others drawn by the drinking, dancing, and musical entertainment offered by its many bars and nightclubs. As part of an elaborate effort to sustain the city’s lively symbiotic urban leisure-services economy, the Miami Beach City Council addressed three types of market failures: chaotic competition, interproducer conflicts, and monopolistic business practices. This article demonstrates how these practices expressed a coherent vernacular philosophy of regulated capitalism arising from the city’s identity as a collective economic enterprise.

Urbs in rure: race-grounds, grandstands and the commercialized consumption of urban leisure, 1750–1805

This article brings together three aspects of early modern urban life: the later stages of the urban renaissance, the consumer revolution and horse racing. Those towns identified as having an effectively commercialized ‘race week’ between 1750 and 1805 challenge notions of any trickle-down effect from London. Successful organization and funding came largely from co-operation rather than division between the county aristocracy and gentry and the urban middling sort. Both groups attended, while race weeks were sufficiently popular for many rural and urban workers to sacrifice production time for the allure of their leisure experiences. Racecourse consumer space, with its booths, tents and stands, allowed spectators to enjoy either cross-class mixing or increased social differentiation, the latter most especially on the permanent stone grandstands, an innovation of the period.

BCNDataset: Description and Analysis of an Annotated Night Urban Leisure Sound Dataset

Acoustic pollution has been associated with adverse effects on the health and life expectancy of people, especially when noise exposure happens during the nighttime. With over half of the world population living in urban areas, acoustic pollution is an important concern for city administrators, especially those focused on transportation and leisure noise. Advances in sensor and network technologies made the deployment of Wireless Acoustic Sensor Networks (WASN) possible in cities, which, combined with artificial intelligence (AI), can enable smart services for their citizens. However, the creation of such services often requires structured environmental audio databases to train AI algorithms. This paper reports on an environmental audio dataset of 363 min and 53 s created in a lively area of the Barcelona city center, which targeted traffic and leisure events. This dataset, which is free and publicly available, can provide researchers with real-world acoustic data to help the development and testing of sound monitoring solutions for urban environments.