Disentangling the Complex Effects of Socioeconomic, Climatic, and Urban Form Factors on Air Pollution: A Case Study of China

Liu, Yupeng; Wu, Jianguo; Yu, Deyong

doi:10.3390/su10030776

Cited by 25 publications

(18 citation statements)

References 52 publications

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“…Given that previous studies have been mainly focused on residents, parents and caretakers [17,29,37], this study is designed to understand the perception of WTP from manufacturing workers. Being an urban population group in cities engaged in industry process, which are linked to large air pollutants [48,49], manufacturing workers' attitude to current air pollution could be particularly interested and important. Although Chinese government introduced relevant measures, the reduction of air pollution would curb economic development to a certain extent, then people's attitude is necessary [50].…”

Section: Discussionmentioning

confidence: 99%

Willingness to Pay for Improved Air Quality and Influencing Factors among Manufacturing Workers in Nanchang, China

Liu

Pan

et al. 2018

Sustainability

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(1) Background: Air quality apt to deteriorate in decades in China, people are seeking improvement measures. To assess the willingness to pay (WTP) for improved air quality among manufacturing workers and associated factors influencing their WTP. (2) Methods: A cross-sectional questionnaire survey was conducted in combination with contingent valuation in Nanchang between September and October of 2015. A face-to-face interview was conducted to obtain basic demographic information from manufacturing workers and to understand their WTP for air quality improvement. (3) Results: A total of 600 effective questionnaires were collected in this study and showed that more than half of the respondents (53%) expressed their WTP for improved air quality. Multivariable logistic regression analysis revealed that the main factors associated with manufacturing workers' WTP were their residence areas, education level, annual household income and travel experience. (4) Conclusions: These findings have provided (a) important information of the concern and desire for air pollution control through their WTP from manufacturing workers, (b) baseline information for the policy-maker and local government for their development of more effective policy in air pollution prevention and control and (c) the need for more study for WTP among different population groups in future.

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Section: Discussionmentioning

confidence: 99%

Willingness to Pay for Improved Air Quality and Influencing Factors among Manufacturing Workers in Nanchang, China

Liu

Pan

et al. 2018

Sustainability

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“…AQI values in the 17 municipalities of Henan province were always higher than the second standard for HJ663-2013 except for Xinyang during 2016 to 2018, although the AQI values decreased in the recent three years. Urban expansion, economic growth and irrational economic structure, high energy consumption and unreasonable energy structure were supposed to be the three main reasons for these trends [1,2,8,15,22]. The intensive emissions induced by a high population density, coal combustion and biomass burning for residential heating, as well as stagnant meteorological conditions that limit the dilution and dispersion of air pollutants, were the main reasons for the AQI values in the winter [9,[27][28][29].…”

Section: Pollution Statusmentioning

confidence: 99%

“…In addition, it was the regional synergistic effects for air pollutants emission that caused the air pollution status in Henan province to be more significant, since air pollution in the surrounding province, such as Hebei province, Shanxi province, and Shandong province were always serious in the past years [1,[4][5][6]13,15,18,22].…”

Section: Pollution Statusmentioning

confidence: 99%

“…As the fastest-growing major economy in the world, China has been increasingly threatened by environmental deterioration due to rapid economic growth, unprecedented urbanization, and climatic conditions in the past three decades [1]. In 2013, the annual average PM 2.5 concentrations in 93.2% of 74 key monitored cities in China were higher than 35 µg/m 3 (the maximum level set by the World Health Organization), leading to adverse impacts on atmospheric visibility, human health, traffic, fires, and even social stability [2][3][4][5][6][7].…”

Section: Introductionmentioning

confidence: 99%

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A Study of the Socioeconomic Forces Driving Air Pollution Based on a DPSIR Model in Henan Province, China

et al. 2019

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The 3D spatiotemporal distribution (spatial and annual-month-daily temporal) features of the air quality index (AQI), air pollutants (PM2.5, PM10, SO2, NO2, CO, and O3-8h), and air pollution risks (R) from 2003 to 2018 were investigated to understand the severity of air pollution in Henan province. The multiyear ascending trends for AQI and R values, with a peak in 2015, were observed in 2003 to 2018 since the annual population-weighted average concentrations of PM2.5, PM10, NO2, and O3-8h were always higher than the CAAQs II from 2013 to 2017 in Henan province. Changes in the monthly moving average AQI values in Henan province conformed to a U-shaped pattern, with the highest values in the winter (from December to February) and the lowest in the summer (from June to August). Triple peaks for AQI values of 8:00‒10:00 a.m., 6:00‒8:00 p.m., and 2:00‒4:00 p.m. in the representative municipalities corresponded with the morning and evening traffic tendencies and photochemical process. A spatial analysis indicated that there were decreasing trends for air pollution from northwest to southeast in Henan province. Data on 48 concrete parameters were collected from 2003 to 2017 to construct a driving force‒pressure‒state‒influence‒response (DPSIR) model for assessing the socioeconomic forces driving air pollution in this province. It was the too-rapid growth of the driving force index (DFI), induced by urban development and population growth (UDPG), economic growth and change of industrial structure (EGCIS), and energy consumption growth and structure change (ECGSC), that led to a direct increase in the atmospheric pollution burden, i.e., total emissions from air pollution and industrial emissions, which are linearly correlated to values of UDPG and ECGSC, respectively (p < 0.05). Furthermore, the prediction models for AQI and R values in Henan province, with the growth rates being 4.251 DFI−1 and 0.0816 DFI−1, respectively, were simulated by multiple linear regression analysis. Therefore, the integrated risks of air pollution in Henan province were originally driven by DFI.

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“…Most of those studies focused on the form of a compact city, which is characterized by high residential density and mixed land use. Comparing based on sprawl pattern, the compact form will have a positive impact on the reduction of energy consumption, carbon emission [26], and air pollution [27,28]. However, some studies drew a different conclusion, e.g., compact development will increase the concentration of PM2.5 in local hotspots [29].…”

mentioning

confidence: 99%

Effects of Urban Forms on Separate Drainage Systems: A Virtual City Perspective

Jia

Sitzenfrei

Rauch

et al. 2019

Water

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The development of urban drainage systems is challenged by rapid urbanization; however, little attention is paid to the urban form and its effects on these systems. This study develops an integrated city-drainage model that configures typical urban forms and their associated drainage infrastructures, specifically domestic wastewater and rainwater systems, to analyze the relationship between them. Three typical types of urban forms were investigated: the square, the star, and the strip. Virtual cities were designed first, with the corresponding drainage systems generated automatically and then linked to a model herein called the Storm Water Management Model (SWMM). Evaluation was based on 200 random configurations of wastewater/rainwater systems with different structures or attributes. The results show that urban forms play more important roles on three dimensions of performance, namely economic efficiency, effectiveness, and adaptability, of the rainwater systems than of the wastewater systems. Cost is positively correlated to the effectiveness of rainwater systems among the different urban forms, while adaptability is negatively correlated to the other two performance dimensions. Regardless of the form, it is difficult for a city to make its drainage systems simultaneously cost-effective, efficient, and adaptable based on the virtual cities we investigated. This study could inspire the urban planning of both built-up and to-be-built areas to become more sustainable with their drainage infrastructure by recognizing the pros and cons of different macroscale urban forms.

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Disentangling the Complex Effects of Socioeconomic, Climatic, and Urban Form Factors on Air Pollution: A Case Study of China

Cited by 25 publications

References 52 publications

Willingness to Pay for Improved Air Quality and Influencing Factors among Manufacturing Workers in Nanchang, China

Willingness to Pay for Improved Air Quality and Influencing Factors among Manufacturing Workers in Nanchang, China

A Study of the Socioeconomic Forces Driving Air Pollution Based on a DPSIR Model in Henan Province, China

Effects of Urban Forms on Separate Drainage Systems: A Virtual City Perspective

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