Where Urban Youth Work and Live: A Data-Driven Approach to Identify Urban Functional Areas at a Fine Scale

Abstract

As a major labor force of cities, young people provide a huge driving force for urban innovation and development, and contribute to urban industrial upgrading and restructuring. In addition, with the acceleration of urbanization in China, the young floating population has increased rapidly, causing over-urbanization and creating certain social problems. It is important to analyze the demand of urban youth and promote their social integration. With the development of the mobile Internet and the improvement of the city express system, ordering food delivery has become a popular and convenient way to dine, especially in China. Food delivery data have a significant user attribute where the ages of most delivery customers are under 35 years old. In this paper, we introduce food delivery data as a new data source in urban functional zone detection and propose a time-series-based clustering approach to discover the urban hotspot areas of young people. The work and living areas were effectively identified according to the human behavioral characteristics of ordering food delivery. Furthermore, we analyzed the relationship between young people and the industry structure of Hangzhou and discovered that the geographical distribution of the identified work areas was similar to that of the Internet and e-commerce companies. The characteristics of the identified living areas were also analyzed in combination with the distribution of subway lines and residential communities, and it was found that the living areas were mainly distributed along subway lines and that urban villages appeared in the living hotspot regions, indicating that transportation and living cost were two important factors in the choice of residential location for young people. The findings of this paper can help urban industrial and residential planning and young population management.

Identification of Urban Functional Areas by Coupling Satellite Images and Taxi GPS Trajectories

“…In similar studies, the silhouette coefficient or elbow method is used to determine the number of classifications. While these methods can measure the aggregation between samples and give a reasonable number of classifications, in fact, the number is lower than the actual number of categories, so only coarser-grained classifications can be performed, which is not convenient for more detailed work [37]. Therefore, we will use external prior empirical methods to determine the number of classification categories.…”

Improvement of Disability Rights via Geographic Information Science

“…Geospatial technologies are widely used currently, thanks to mobile geolocation sensors and services, and online data-sharing possibilities. Geoinformation technologies have traditionally been used in applications such as mapping, urban and rural planning, and construction, but nowadays the application areas have been expanded to solving modern problems such as autonomous driving, mobile navigation (indoor and outdoor), smart buildings, cultural heritage documentation, advanced environmental modeling applications, healthcare, and smart city applications [53][54][55][56][57][58][59][60][61][62]. A systematic approach for using geospatial technologies for the purpose of improving disability rights and lives must include structuring the problem by identifying the basic requirements, designing a system at the national level that can also be applied internationally, and developing a living system which can be updated with novel technologies and user inputs.…”

Rurbanization—Making the City Greener: Young Citizen Implication and Future Actions

“…Drobysheva and Larionov [21] expand on this idea, arguing that the urban setting has led to 'emotional manifestations of satiety,' a concept that entails a wide range of behaviors like aggression, irritation, and apathy. In the context of such struggles of the urban life perspective, it is becoming increasingly important to grant special attention to the urban youth and their successful social integration as a foundation for sustainable urban development [29].…”

“…Even more than that, research shows that there are some critical levels of greenspace whose growth or reduction can have a strong and direct impact on health [28]. Furthermore, addressing this age-range population is motivated by the fact that they constitute a consistent source of creativity and high consumption power that can run the engine of sustainable innovation and development in the city [29]. In order to create the appropriate environment for such a development, nature is displayed to offer a "stronger, authentic sense of self or offering a new perspective of oneself within the world" [47].…”

“…In Figure 1 there are two separate categories of respondents, which will do nothing in the future regarding 'rurbanization,' be it because they are not able to take any of the above-mentioned actions (10.8%), or because they are not interested in doing anything about it (5.6%). If the first category (the ones not being able to do anything) is somehow influenced by uncontrolled variables, such as age (the percentage being triple for people between 18 and 25 years old, compared to those of [26][27][28][29][30][31][32][33][34][35] or income (where the percentage decreases from 15.9% for people with a personal monthly income under 1500 RON to 0% for those with more than 5500 RON), the second category (people not willing to do anything) can be related to the current context (as people living in individual houses or having their own gardens are more satisfied with the current situation, thus they do not see the need to do something in the near future). This is not sustainable behavior, as an inclusive and citizen-driven development is more likely to have a long-term efficiency.…”