Heavenly Hangzhou:City of Silk,Tea and Seafood

THE women of Hangzhou have long held the title of comeli-est in all of China. Marco Polo, on a visit to the city during the 13th century, called Hangzhou "the finest and most splendid city in the world," no doubt drawing comparisons with another city on the water, Venice. Capital

Spatial Autocorrelation and Localization of Urban Development

A nonlinear analysis of urban evolution is made by using of spatial autocorrelation theory. A first-order nonlinear autoregression model based on Clark’s negative exponential model is proposed to show urban population density. The new method and model are applied to Hangzhou City, China, as an example. The average distance of population activities, the auto-correlation coefficient of urban population density, and the auto-regressive function values all show trends of gradual increase from 1964 to 2000, but there always is a sharp first-order cutoff in the partial auto- correlations. These results indicate that urban development is a process of localization. The discovery of urban locality is significant to improve the cellular-automata-based urban simulation of modeling spatial complexity.

Research on the Distribution Characteristics of Internet-Famous Space in the Mobile Internet Era:A Case Study on the Main Urban Area of Hangzhou,China

As a new visual consumer space,the“Internet-famous space”provides a new perspective for the study on urban space in the mobile Internet era.Based on the data of the Douyin(the Chinese version of Tiktok)platform,this paper quantitatively measures the popularity and the distribution characteristics of Internet-famous spaces in the main urban area of Hangzhou.It is concluded that the distribution of Internet-famous spaces shows a spatial pattern of multi-core concentration,with spatial popularity decreasing from the urban center to the suburbs.The hot spot areas of Internet-famous spaces are mainly distributed in the functional nodes of the city,and the concentration characteristics of the internal spaces in these different areas show great differences.

Risk Assessment of Multi‑Hazards in Hangzhou:A Socioeconomic and Risk Mapping Approach Using the CatBoost‑SHAP Model

As the global push for sustainable urban development progresses, this study, set against the backdrop of Hangzhou City,one of China's megacities, addressed the conflict between urban expansion and the occurrence of urban geological hazards.Focusing on the predominant geological hazards troubling Hangzhou-urban road collapse, land subsidence, and karst collapse-we introduced a Categorical Boosting-SHapley Additive exPlanations(CatBoost-SHAP) model. This model not only demonstrates strong performance in predicting the selected typical urban hazards, with area under the curve(AUC) values reaching 0.92, 0.92, and 0.94, respectively, but also, through the incorporation of the explainable model SHAP, visually presents the prediction process, the interrelations between evaluation factors, and the weight of each factor. Additionally, the study undertook a multi-hazard evaluation, producing a susceptibility zoning map for multiple hazards, while performing tailored analysis by integrating economic and population density factors of Hangzhou. This research enables urban decision makers to transcend the “black box” limitations of machine learning, facilitating informed decision making through strategic resource allocation and scheduling based on economic and demographic factors of the study area. This approach holds the potential to offer valuable insights for the sustainable development of cities worldwide.