Abstract

Environmental quality assessment is an important way to promote the improvement of urban environmental quality. Environmental performance is usually used to evaluate the improvement of environmental quality, and residents’ satisfaction with environmental quality is also an important method to evaluate environmental improvement. At present, in many cities in China, the results of the two evaluation methods vary greatly. Residents’ environmental satisfaction is not high in some cities with good environmental performance; however, in cities with poor environmental performance, residents’ environmental satisfaction is higher. Here, based on the environmental subjective assessment of more than 4,600 independent samples from 56 cities in 2014, this paper constructed an index between subjective and objective scores for each sample and its city, separating the total samples into two groups. In order to analyze the differences between groups, firstly, the important factors driving the differences were extracted by random forest. Secondly, the key individual characteristics were identified by the model based on conditional inference tree. Finally, the regional heterogeneity was analyzed by nonmetric multidimensional scaling. The results show that population density is the main factor that affects the difference between subjective and objective evaluations. Furthermore, in those cities with low population density, investment increasing in transportation infrastructure helps to improve urban air quality, which can bring about more perceptual environmental optimization to people. As individuals, education is the key factor for residents when it comes to environment evaluation, but it is not a simple linear relationship. In terms of regional heterogeneity, the consistency of important factors among regions is not obvious, and the situation that “neighboring” cities share the same factors is not significant.

Highlights

  • In order to explain the reason for the contrast, this paper makes a comparative analysis of the regional pollutant emission level and the public environmental quality satisfaction using the data from a large-scale environmental satisfaction survey conducted at the city level in China through “WOYAO Online Survey” in August 2016

  • It should be affirmed that the environmental evaluation of cities is driven by different factors. e empirical results of this paper make us better understand the importance of these factors and how they work together

  • The situation of lower population density and better transportation infrastructure in cities can bring about more perceptive environmental optimization

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Summary

Introduction

In order to explain the reason for the contrast, this paper makes a comparative analysis of the regional pollutant emission level and the public environmental quality satisfaction using the data from a large-scale environmental satisfaction survey conducted at the city level in China through “WOYAO Online Survey” in August 2016. Any definition of the quality of the living environment must include two basic elements: one is the internal psychophysiological mechanism that produces satisfaction and the other is the two dimensions of external phenomena associated with it Both dimensions of environmental assessment strive to be objective because they strive to have effective, reliable, sensible, and useful repeatable measures [8]. For the convenience of expression, the measurement of environmental quality based on the emission level of environmental pollutants will be represented by the objective evaluation of environmental quality, while the measurement of satisfaction of environmental quality based on the subjective feelings of residents will be represented by the subjective evaluation of environmental quality in the following paper

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