Evaluating the Impact of Mega-Sports Events on Urbanization Focusing on Land-Use Changes Using a Scenario-Based Model

Abstract

Mega-sports events have a profound impact on promoting the urbanization process, optimizing the urban spatial structure, and improving the competitiveness of the host city. Taking the 19th Asian Games Hangzhou 2022 (AGH) as an example, we used remote sensing data and a scenario-based model to simulate land-use changes and developments from 2005 to 2025. By setting two scenarios, natural development and AGH-driven development, we explored the impact of AGH on urban development and its driving factors. The results show that (1) cultivated land areas decreased by 369.96 km2, while construction land areas increased by 488.33 km2 among the main land-use types in Hangzhou from 2005 to 2020. Urban areas quickly expanded with the West Lake as the center. (2) Urban sprawl intensity under the AGH-driven scenario is expected to increase by 0.91% compared to in the natural-development scenario, indicating that hosting AGH would accelerate the expansion of urban land, particularly in districts set with sports venues such as Binjiang, Xiaoshan, and Yuhang. The strategic trend of supporting the Qiantang River is obvious. (3) Under the influence of AGH, the centroid of urban construction land shifted towards the southeast, and the spatial direction was remarkable. The construction of venues and supporting facilities, and construction land for public rail transit, are the main direct driving forces of urban expansion. The AGH enhances the pace of urbanization, significantly altering the urban spatial structure and helping the city achieve a major transition from the West Lake Era to the Qiantang River Era. Furthermore, our research can provide insights into other cities that will host mega-sports events.

Research on Abnormal Monitoring of Sensor Data of Stadiums Based on Internet of Things Technology

“…In which, v is the input signal; 1 x is the processed input signal; 2 x is the first derivative of the input signal; h is the step size, and the two channels of ADRC have the same values.…”

“…For example, the thermal expansion and contraction of materials may occur under the influence of changes in external temperature conditions, resulting in subtle displacements of the internal structure. Because the volume of a large-span spatial structure is huge and complex and most of the structures are complex high-order statically indeterminate spatial structures, such displacements resulting from changes in temperature will cause large thermal stress in the local structure, thus threatening the stability of the overall stadium structure [2][3]. In order to avoid the economic loss and personal injury caused by the effect of temperature, it is necessary to further monitor the abnormality of the sensor data in the stadium.…”

“… . Assuming that each data record includes the occurrence time and P different attributes of all observation objects, it is described as equation (2).…”

“…In order to extract the characteristics of time series data more accurately, the piecewise value of time series is set to k , the minimization of two objective functions 2 J and 3…”

“…In which,2 J represents the deviation between the trend value of the time series and the trend of the segmented basis of the stadium sensing data,   i at represents the eigenvalue of the segmented position data, and in the case of 2 0 J  , it is the extraction deviation of the piecewise linear approximation value of the time series; 3 J represents the difference between the trend value series of the time series and its piecewise trend value series.…”