Asia Pacific Academy of Science Pte. Ltd. (APACSCI) specializes in international journal publishing. APACSCI adopts the open access publishing model and provides an important communication bridge for academic groups whose interest fields include engineering, technology, medicine, computer, mathematics, agriculture and forestry, and environment.
As China's pillar industry, the property market has suffered a considerable impact in recent years, with a decline in turnover and many developers at risk of bankruptcy. As one of the most concerned factors for stakeholders, housing prices need to be predicted more objectively and accurately to minimize decision-making errors by developers and consumers. Many prediction models in recent years have been unfriendly to consumers due to technical difficulties, high data demand, and varying factors affecting house prices in different regions. A uniform model across the country cannot capture local differences accurately, so this study compares and analyses the fitting effects of multiple machine learning models using February 2024 new building data in Changsha as an example, aiming to provide consumers with a simple and practical reference for prediction methods. The modeling exploration applies several regression techniques based on machine learning algorithms, such as Stepwise regression, Robust regression, Lasso regression, Ridge regression, Ordinary Least Squares (OLS) regression, Extreme Gradient Boosted regression (XGBoost), and Random Forest (RF) regression. These algorithms are used to construct forecasting models, and the best-performing model is selected by conducting a comparative analysis of the forecasting errors obtained between these models. The research found that machine learning is a practical approach to property price prediction, with least squares regression and Lasso regression providing relatively more convincing results.
From cultural diversity to creative city: theoretical logic and practical exploration of the gourmet city
Vol 1, Issue 1, 2020
Issue release: 31 December 2020
VIEWS - 1601 (Abstract)
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Abstract
The construction of creative cities is an important choice for the current urban transformation and development. Taking the “city of gastronomy” of UNESCO creative cities network as the research object, this paper analyzes the impact of cultural diversity on creative cities. Based on the theoretical connotation of creative cities and the logical analysis of the relationship between cultural and creative industries and creative cities, this paper puts forward the theoretical basis for the construction of “food city”, and constructs the urban food creative system from four aspects: urban food culture, creative community, environment and atmosphere, investment and financing, and intellectual property protection. On this basis, combined with the group characteristics of the “food city” and the case of Yangzhou, this paper analyzes the practical process and key issues of creating the “food city”, and summarizes the experience and Enlightenment from the “food city” to the creative city.
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Prof. Mehmet Cetin
Kastamonu University,
Turkey
