Complexity measures of sports facilities allocation in urban area by metric entropy and public demand compatibility

Abstract

Sports has an important role for the health of present societies and the next generations as an element of urban design. Sports facilities have strong effects on the social life in urban areas. The facilities supply the communication between the dynamics of the cities and generate synergy in the city life of people interacting with each other for improvement in their lives. Before the construction of the sports facilities, the planners must evaluate the type and size of them in terms of the population of the whole city and, the population of neighboring settlement areas, which use the facility. Entropy can be used as a criterion for the quantitative measure of spatial information on maps. In the study, the location of the sports facilities in Istanbul are compared by using the entropy as a quantitative criterion. As a result, the success of the location selection for the sports facilities in urban areas are estimated by using the entropy as a component. Metric entropy method and applications were carried out by a case study in the city of Istanbul for defining the spatial distribution of sports facility locations with the posts of people including "sports" and sports-related keywords on social media.

Sustainable Coupling Coordination and Influencing Factors of Sports Facilities Construction and Social Economy Development in China

“…Additionally, Wei (2018) and other scholars have analyzed the dynamic characteristics of the development of sports venues in China, exploring the patterns of changes in the development of sports venues and making suggestions for the future development dynamics of sports venues [7,8]. As for the relationship between sports facilities construction and social economy, some scholars have focused on structural settings [8,9], developmental assessments [10,11], and influencing factors [12]. For example, Kou and Mehr (2019) and other scholars used the factor analysis method to evaluate the construction of sports venue resources and socioeconomic development, respectively.…”

“…For example, Kou and Mehr (2019) and other scholars used the factor analysis method to evaluate the construction of sports venue resources and socioeconomic development, respectively. On the basis of this, a regression model was used to evaluate the coordinated development of sports venue resources and the economy [12][13][14]. In addition, Xia and Brad (2018) believe that factors such as population density, government policies, and funding are important factors affecting the coordinated development of sports venue resources and the social economy [15].…”

A new approach for matching road lines using efficiency rates of similarity measures

“…Some studies in urban lands are also crucial tasks of integration cases. Recently, VGI, social media, and geocoding data are used to extract and combine new spatial data in urban areas (Hacar 2020;Kılıç and Gülgen 2020;Bilgi et al 2019). VGI enables generation of maps by using crowd-sourced volunteer contributors.…”

Accuracy and similarity aspects in online geocoding services: a comparative evaluation for Google and Bing maps

“…People use POIs for various purposes, such as navigating between different locations, determining the characteristics of a place, studying urban sociology, analyzing city dynamics, and geo-referencing of the texts (Rodrigues 2010). In this study, the accommodation facilities which supply communication between the dynamics of the cities (Bilgi et al 2019) were used as the reference data. They are usually stored by point symbols in a POI layer of various online maps (Mulazimoglu and Basaraner, 2019).…”