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The Integration of Land-Use Planning and Management with Environmental and Public Health Impact Assessment

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A special issue of International Journal of Environmental Research and Public Health (ISSN 1660-4601). This special issue belongs to the section "Environmental Science and Engineering".

Deadline for manuscript submissions: closed (31 October 2022) | Viewed by 17502

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Special Issue Editor

Dr. Min Zhou

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Guest Editor

College of Public Administration, Huazhong University of Science and Technology, Number 1037, Luoyu Road, Hongshan District, Wuhan 430074, China
Interests: land-use allocation; land use policy; environmental policy and assessment

Special Issue Information

Dear Colleagues,

With the rapid development of social economy and urbanization, land-use planning and management vary across different cities or regions. Land-use planning and management have demonstrated a growing impact on the environment and public health, and management and evaluation of environmental protection are becoming increasingly important when it comes to achieving sustainable development. Human beings have gained greater awareness of the effects of the environment on production and life, and have begun paying more attention to the effects of the environment on human activities. However, due to unreasonable and excessive land use, the deterioration of the ecological environment is gradually accelerating, requiring us to integrate environmental and public health impact assessment into the land-use planning and management process. We hope that when considering environmental and public health impact assessments in land-use planning and management, it will be possible meet the land use demands of different stakeholders while improving our environmental quality.

This Special Issue aims to collect literature on the integration of land-use planning and management with environmental and public health impact assessment from different research perspectives, with the ultimate aim of contributing to the global challenges of the SDGs. We seek original and innovative academic papers concerning land-use planning and public health, preferably using advanced spatial analysis technology, mathematical planning, intelligent algorithms, etc. Planning methodologies and policy analysis are also welcome, as authorities and governance models play an important role in land-use planning in many countries or regions around the world.

Original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:

Urban/rural land-use planning and management;
Sustainable land use;
Low-carbon-oriented land use allocation;
Environmental and public health risk assessment;
Simulation and optimization of land-use patterns;
Environmental and public health assessment of land-use change.

I look forward to receiving your contributions.

Dr. Min Zhou
Guest Editor

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. International Journal of Environmental Research and Public Health is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2500 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

uncertain mathematical models for environment planning
land-use allocation models
industrial structure optimization under environmental constrains
environmental management models
ecological modeling
low-carbon models
land-use planning and management
urban land-use planing
rural/agricultural land-use planning
industrial/commercial land-use planning

Published Papers (9 papers)

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Research

32 pages, 7552 KiB

Open AccessArticle

Zoning Optimization Method of a Riverfront Greenspace Service Function Oriented to the Cooling Effect: A Case Study in Shanghai

by Yunfang Jiang, Xiaolin Li and Jing Huang

Int. J. Environ. Res. Public Health 2022, 19(23), 16191; https://doi.org/10.3390/ijerph192316191 - 03 Dec 2022

Cited by 1 | Viewed by 1331

Abstract

Blue-green space commonly provides multiple ecological service functions, especially thermal environment comfort for citizens. The greenspace of the riparian buffers along 22 river channels in Shanghai was selected as the study object, and remote sensing and GIS technologies were used to obtain the quantitative composition and morphological indices of riverfront greenspace and the spatial distribution data of the land surface temperature in the study area. Through BRT modelling and statistical analyses, the interactive correlations among the three aspects, namely, the spatial patterns of riverfront greenspace, their specific functional zoning, and cooling island differentiation characteristics, were explored. The results showed that different river types served for different functional zones of the city, namely, high-density built-up zoning, new urban-growth zoning in built-up areas, suburban areas, and rural areas, and had specific regular patterns of morphosis and service function of riverfront greenspace. These also led to a significant spatial differentiation pattern of cooling intensity levels, which generally appeared in the approximate circle differentiation structure of the cooling island in the city riverfront area. The study further proposed the key factors and corresponding strategies for optimizing the greenspace pattern to strengthen the cooling intensity levels of different river types. This study summarizes the landscape composition paradigm of riverfront greenspaces at the urban mesoscale and provides adaptive planning methods for better local microclimate conditions. Full article

(This article belongs to the Special Issue The Integration of Land-Use Planning and Management with Environmental and Public Health Impact Assessment)

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28 pages, 2843 KiB

Open AccessArticle

Spatio-Temporal Urban Land Green Use Efficiency under Carbon Emission Constraints in the Yellow River Basin, China

by Hao Su and Shuo Yang

Int. J. Environ. Res. Public Health 2022, 19(19), 12700; https://doi.org/10.3390/ijerph191912700 - 04 Oct 2022

Cited by 10 | Viewed by 1723

Abstract

In the context of rapid urbanization and limited land amount, it is essential to scientifically evaluate the urban land green use efficiency (ULGUE) to promote regional sustainable development. Current studies are of great value for enriching the theoretical system and application research of ULGUE. Still, most of them only consider industrial pollution but ignore carbon emission as an essential environmental influencing indicator. This paper introduced carbon emissions into the input-output indicator system, measured ULGUE of 57 cities in the Yellow River Basin (YRB) over the 2004–2017 periods using the super-efficiency slacked-based measure (Super-SBM) model, analyzed its spatio-temporal patterns with the kernel density estimation (KDE) model and spatial autocorrelation model, and then identified the influencing factors with the Spatial Durbin model (SDM). As shown by the results, firstly, the ULGUE in the YRB over the 2004–2017 periods showed a trend of first decreasing and then increasing. Secondly, the ULGUE exhibited spatio-temporal imbalance characteristics across the YRB. Thirdly, ULGUE was the interaction of multiple indicators, and its influencing factors had spatial spillover effects. All in all, this paper is fundamental to the high-quality development of cities in the background of the Chinese policy of “carbon peak, carbon neutralization”. Full article

(This article belongs to the Special Issue The Integration of Land-Use Planning and Management with Environmental and Public Health Impact Assessment)

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16 pages, 3980 KiB

Open AccessArticle

An Integrated Spatial Autoregressive Model for Analyzing and Simulating Urban Spatial Growth in a Garden City, China

by Bingkui Qiu, Min Zhou, Yang Qiu, Shuhan Liu, Guoliang Ou, Chaonan Ma, Jiating Tu and Siqi Li

Int. J. Environ. Res. Public Health 2022, 19(18), 11732; https://doi.org/10.3390/ijerph191811732 - 17 Sep 2022

Cited by 1 | Viewed by 1411

Abstract

In the past, the research on models related to urban land-use change and prediction was greatly complicated by the high precision of models. When planning some garden cities, we should explore a more applicable, specific, and effective macro approach than the community-level one. In this study, a model consisting of spatial autoregressive (SAR), cellular automata (CA), and Markov chains is constructed. One It can well-consider the spatial autocorrelation and integrate the advantages of CA into a geographical simulation to find the driving forces behind the expansion of a garden city. This framework has been applied to the urban planning and development of Chengdu, China. The research results show that the application of the SAR model shows the development trend in the southeast region and the needs to optimize the central region and protect the western region as an ecological reserve. The descriptive statistics and the spatial autocorrelation of the residuals are reliable. The influence of spatial variables from strong to weak is distance to water, slope, population density, GDP, distance to main roads, distance to railways, and distance to the center of the county (district). Taking 2005 as the initial year, the land-use situation in 2015 was simulated and compared with the actual land-use situation. It seems that the Kappa coefficient of the construction-land simulation is 0.7634, with high accuracy. Therefore, the land use in 2025 and 2035 is further simulated, which provides a reference for garden cities to formulate a reasonable urban space development strategy. Full article

(This article belongs to the Special Issue The Integration of Land-Use Planning and Management with Environmental and Public Health Impact Assessment)

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16 pages, 2230 KiB

Open AccessArticle

The Spatial and Temporal Evolution of the Coordination Degree in Regard to Farmland Transfer and Cultivated Land Green Utilization Efficiency in China

by Min Zhou, Bing Kuang, Min Zhou and Nan Ke

Int. J. Environ. Res. Public Health 2022, 19(16), 10208; https://doi.org/10.3390/ijerph191610208 - 17 Aug 2022

Cited by 9 | Viewed by 1431

Abstract

In many parts of the world, the shortage of cultivated land and the food crisis are worsening on a continued basis. Hence, the central and local governments of the PRC have successively issued various related policies to encourage the practice of farmland transfer, promote the eco-friendly utilization of cultivated land, and ameliorate the efficiency of cultivated land utilization. Under the context of large-scale farmland transfer and rural revitalization strategy in China, it is significant to ensure agricultural sustainability through the coordination of farmland transfer and the amelioration of cultivated land green utilization efficiency (CLGUE). In the present study, 30 Chinese provinces were taken as the research object, with the super-efficient SBM model, the coupling coordination degree model and the spatial analysis model applied in combination. Based on the measurement of CLGUE, a thorough analysis was conducted to explore the evolution of coordination degree in regard to farmland transfer and CLGUE in China from both spatial and temporal perspectives. The conclusions drawn from this study are as follows. Firstly, the overall CLGUE exhibited an upward tendency in the PRC, from 0.440 in 2005 to 0.913 in 2019, with a yearly growth rate of 5.47% on average. However, there were significant spatial disparities in CLGUE between different regions and provinces. Secondly, there was a steady increasing trend shown by the level of coordination degree regarding farmland transfer and CLGUE across China. Further, due to the variation in natural and economic conditions, there were significant spatial–temporal disparities in the coordination degree among these 30 provinces. Lastly, there were obvious spatial aggregation patterns at the provincial level regarding the coordination degree in farmland transfer and CLGUE across China. However, there was a declining trend in the level of spatial aggregation patterns for coordination degree. Full article

(This article belongs to the Special Issue The Integration of Land-Use Planning and Management with Environmental and Public Health Impact Assessment)

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16 pages, 1628 KiB

Open AccessArticle

How Regional Integration Affects Urban Green Development Efficiency: Evidence from Urban Agglomeration in the Middle Reaches of the Yangtze River

by Zhen Wang, Xupeng Zhang, Chaozheng Zhang and Qing Yang

Int. J. Environ. Res. Public Health 2022, 19(13), 7937; https://doi.org/10.3390/ijerph19137937 - 28 Jun 2022

Cited by 14 | Viewed by 1832

Abstract

Unlocking the relationship between regional integration and urban green development efficiency (UGDE) is of great importance for boosting regional high-quality development and promoting sustainable urban development patterns. Although studies have analyzed the spatio-temporal evolution and influencing factors of regional integration and UGDE, the impact of regional integration on UGDE remains untested. In this paper, we construct a conceptual framework to analyze how regional integration can influence UGDE through promoting the factors mobility and optimizing the industrial layout. In addition, we further choose the urban agglomeration in the middle reaches of the Yangtze River (UAMRYR), a rapidly growing urban agglomeration in central China, as a case to investigate the spatial spillover effect of regional integration on UGDE from 2003 to 2017. We quantify the UGDE with a random forest model, then estimate the underlying determinants of the UGDE with a spatial Durbin model. Results indicated that (1) the regional integration level and the UGDE index of the UAMRYR and its three sub-urban agglomerations show an increasing trend; (2) for every 1% increase in the level of regional integration, the level of UGDE will increase by 0.8307%; (3) the impact of regional integration on UGDE has obvious regional heterogeneity; while playing a promoting effect in the Wuhan urban agglomeration and the Changsha-Zhuzhou-Xiangtan urban agglomeration, it shows an inhibitory effect in the Poyang Lake urban agglomeration. We conclude that regional integration in agglomeration areas can accelerate the factors flow and optimize the industrial layout for improving UGDE. Full article

(This article belongs to the Special Issue The Integration of Land-Use Planning and Management with Environmental and Public Health Impact Assessment)

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20 pages, 4988 KiB

Open AccessArticle

Assessing the Equity of Accessibility to Urban Green Space: A Study of 254 Cities in China

by Yingxue Rao, Yi Zhong, Qingsong He and Jingyi Dai

Int. J. Environ. Res. Public Health 2022, 19(8), 4855; https://doi.org/10.3390/ijerph19084855 - 16 Apr 2022

Cited by 8 | Viewed by 3247

Abstract

Urban green space has environmental benefits of purifying the air, reducing the heat island effect and providing the social and economic benefits of rest places and social platforms. An integrated and organized green space system is important for fully realizing the positive functions of an urban ecosystem. Previous studies have considered green space supply and demand, but few studies have examined large-scale, diverse and small-scale systems, making it difficult to conduct a comparative study of urban green space accessibility and equity under the same conditions (such as data sources and calculation methods). Using the two-step floating catchment area method, this study evaluates the equity of 254 urban green spaces in China within four ranges of accessibility: 1 km, 2.5 km, 5 km and 10 km. The study also considers urban house price in the research. The results show the following: (1) There are large differences in the accessibility of green space between different cities in China. Within the accessibility threshold of 10 km, the city with the most accessible urban green spaces has an accessibility level that is 27,813 times that of the city with the lowest accessibility. (2) Within the range of walking/cycling, there are significant inequalities in green space access in the 254 cities; the inequality of green space accessibility in most of the studied cities is at the “dangerous” level. (3) The two-step floating catchment area method indicates that the social superiority (high social class) represented by high housing prices is associated with a greater opportunity to access urban green space services. This paper highlights the main problems associated with the accessibility of urban green space in China and proposes targeted development recommendations. These recommendations provide a reference for urban managers to develop effective green space development policies and realize the optimal allocation of urban green space. Full article

(This article belongs to the Special Issue The Integration of Land-Use Planning and Management with Environmental and Public Health Impact Assessment)

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19 pages, 4396 KiB

Open AccessArticle

Impact of Cereal Production Displacement from Urban Expansion on Ecosystem Service Values in China: Based on Three Cropland Supplement Strategies

by Siyu Sheng, Bohan Yang and Bing Kuang

Int. J. Environ. Res. Public Health 2022, 19(8), 4563; https://doi.org/10.3390/ijerph19084563 - 10 Apr 2022

Cited by 2 | Viewed by 2014

Abstract

The acceleration of global urban expansion constantly occupies high-quality cropland and affects regional food security. The implementation of cropland protection policies has alleviated the pressure of cropland loss worldwide, and thus keeping a dynamic balance of cereal production. Such a displacement of cereal production from the lost cropland to the supplemented cropland has resulted in the massive losses of natural habitats (such as forests, grasslands, and wetlands) as well as ecosystem service values. However, the impact of cereal production displacement caused by different cropland supplement strategies has not been concerned. Therefore, taking China (mainland) as a case, this study used the LANDSCAPE model to simulate cereal production displacement caused by urban expansion and cropland supplement between 2020 and 2040, based on three scales of the Chinese administration system (i.e., the national level, the provincial level, and the municipal level). The natural habitat loss and corresponding ecosystem service value (ESV) loss were assessed. The results show that the national-scale cereal displacement will lead to a large reclamation of cropland in North China, causing the most natural habitat loss (5090 km²), and the least ESV loss (46.53 billion yuan). Cereal production displacement at the provincial and municipal scales will lead to fewer natural habitat losses (4696 km² and 4954 km², respectively), but more ESV losses (54.16 billion yuan and 54.02 billion yuan, respectively). Based on the national food security and ecological conservation in China, this study discussed the reasons for the ecological effects of cereal production displacement, direct and indirect natural habitat loss of urban expansion, and cropland protection policies in China. We suggest that China’s cropland protection policy should emphasize avoiding large-scale cropland displacement and occupation of natural habitat with high ESV for cropland supplement. Full article

(This article belongs to the Special Issue The Integration of Land-Use Planning and Management with Environmental and Public Health Impact Assessment)

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19 pages, 63379 KiB

Open AccessArticle

Industrial Transformation and Urban Economic Efficiency Evolution: An Empirical Study of the Yangtze River Economic Belt

by Yin Dong, Baishu Guo, Dawei He, Xiaoli Liao, Zhengyu Zhang and Xueqin Wu

Int. J. Environ. Res. Public Health 2022, 19(7), 4154; https://doi.org/10.3390/ijerph19074154 - 31 Mar 2022

Cited by 2 | Viewed by 1494

Abstract

Industrial transformation and high-quality urban development have become the core issues of urban-rural coordination and the leap forward in development in the new era. The research perspective of ‘pattern-process-mechanism’ is needed to reveal the spatiotemporal correlation characteristics of industrial transformation and urban economic efficiency evolution, and to expand its systematic, comprehensive and regional characteristics. Based on the geographical cognitive of local effects and spatial non-stationarity, we used a quantile regression model and a geographically weighted regression model to analyze the dynamic mechanism of industrial transformation and urban economic efficiency to explain the path characteristics of urban development and industrial transformation of the Yangtze River economic belt. The conclusions are as follows: (1) From 2000 to 2015, the average economic efficiency in the Yangtze River economic belt increased from 0.05 to 0.332, and the pattern gradually changed from spatial homogeneity to spatial mosaic; (2) From 2000 to 2015, the range and intensity of industrial transformation in the Yangtze River economic belt showed an increasing trend, while the speed of industrial transformation showed a downward trend, and the high-value unit of the three showed the characteristics of gradual homogenization; (3) From the perspective of the impact of industrial transformation on urban economic efficiency, the impact of the range and speed of industrial transformation on urban economic efficiency was gradually weakened, while the impact of the intensity of industrial transformation on urban economic efficiency was gradually strengthened, and the patterns of the three show the characteristics of a spatially inverted U-shaped distribution with high values in the middle reaches and low values in the upstream and downstream areas. Full article

(This article belongs to the Special Issue The Integration of Land-Use Planning and Management with Environmental and Public Health Impact Assessment)

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23 pages, 1200 KiB

Open AccessArticle

The Influence of Land Disposition Derived from Land Finance on Urban Innovation in China: Mechanism Discussion and Empirical Evidence

by Siyu Han, Mengcheng Wang, Qi Liu, Renyang Wang, Guoliang Ou and Lu Zhang

Int. J. Environ. Res. Public Health 2022, 19(6), 3212; https://doi.org/10.3390/ijerph19063212 - 09 Mar 2022

Cited by 4 | Viewed by 1585

Abstract

As China’s economy advances into a new stage of high-quality development driven by scientific and technological innovation, it is of great practical importance to probe what effects land disposition, which underpinned the previous round of rapid economic growth, and may have an exertion on developing innovation. Based on a deep exploration of the potential positive and negative influences of land disposition in relation to the effects of land finance on urban innovation, we employed a dynamic spatial Durbin model, along with panel data from 266 Chinese prefecture-level cities over the period 2004–2017. The empirical results show that the development of China’s urban innovation has had significant path dependence, spatial agglomeration, and inhibiting effects on neighboring cities, and these effects are attributed to inter-governmental competition and the Matthew effect. Overall, the combined impacts of land disposition modes on urban innovation have changed, from facilitative in the early stage to inhibitory at present. In the developed cities of east China, the facilitative effect of land disposition has weakened gradually, and tends to disappear entirely, while the change in impact over time in less developed mid-western cities is consistent with the national sample. This study broadens our understanding of the role of land disposition in China’s urban innovative development and has meaningful direct implications for policymakers. Full article

(This article belongs to the Special Issue The Integration of Land-Use Planning and Management with Environmental and Public Health Impact Assessment)

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