Abstract
This article is based on the comprehensive evaluation of urban livability. This article selects the indicators to measure the urban livability, and uses the factor analysis method to reasonably screen the indicators, and establishes an improved BP neural network evaluation model to obtain the livability of different cities in Shaanxi Province. Monte Carlo simulation is used to analyze the impact of different indicators on urban livability. Then this article comprehensively considers the uncertain factors, establishes a predictive model of stochastic differential equations, and establishes a dynamic evaluation model to reassess the livability of cities.
Highlights
Urban livability is one of the hot topics in the current urban scientific research field, and the focus of Chinese government and urban residents
This article is based on the comprehensive evaluation of urban livability
This article selects the indicators to measure the urban livability, and uses the factor analysis method to reasonably screen the indicators, and establishes an improved BP neural network evaluation model to obtain the livability of different cities in Shaanxi Province
Summary
- Critical Analysis of Urban Livability Measures Based on the Perspective of Placemaking F Christy, G Raissa, S Sihotang et al. - Comparison of AWASSI sheep lambs livabilityat effects of genetic and environmental factors Maan A. This content was downloaded from IP address 154.13.228.172 on 28/02/2022 at 17:34
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