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Jiaxing Cui
Hubei Provincial Key Laboratory for Geographical Process Analysis and Simulation, Academy of Wuhan Metropolitan Area, College of Urban and Environmental Sciences, Central China Normal University, Wuhan 430079, China

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rural settlement
rural revitalization

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Journal article
Published: 13 June 2021 in Land
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In the context of rural revitalization strategies and humans’ increasing leisure pursuit, leisure agriculture starts to act as a new engine of rural economic growth and industrial upgradation. Unraveling the agri-leisure developmental regularity from a spatial perspective facilitates urban-rural integration and poverty alleviation in rural regions. Given the lack of spatially analyzing agri-leisure (e.g., sightseeing picking orchards) especially at the macro-spatial scale (e.g., the national scale), this study aims to explore the spatiality of leisure agriculture and its fundamental driving mechanisms based on geo-visual (spatially visualizing) analytical tools looking at 20,778 picking orchards in China. Results show that: (1) Picking orchards are distributed in the form of clusters with striking disparity at multiple spatial scales; (2) Five spatial agglomerations are found involving the regions around Beijing and Tianjin, Shandong hinterland, Henan hinterland, the core district of the Yangtze Delta, and the core district of the Pearl River Delta; (3) The driving mechanisms are revealed, and the spatial pattern of picking orchards is found to be largely influenced by morphology, distance to central cities, traffic conditions, economic level, and tourism resources. This study is conducive to optimizing the spatial planning of rural eco-tourism towards sustainable agro-development.

ACS Style

Jiaxing Cui; Ruihao Li; Lingyu Zhang; Ying Jing. Spatially Illustrating Leisure Agriculture: Empirical Evidence from Picking Orchards in China. Land 2021, 10, 631 .

AMA Style

Jiaxing Cui, Ruihao Li, Lingyu Zhang, Ying Jing. Spatially Illustrating Leisure Agriculture: Empirical Evidence from Picking Orchards in China. Land. 2021; 10 (6):631.

Chicago/Turabian Style

Jiaxing Cui; Ruihao Li; Lingyu Zhang; Ying Jing. 2021. "Spatially Illustrating Leisure Agriculture: Empirical Evidence from Picking Orchards in China." Land 10, no. 6: 631.

Journal article
Published: 08 February 2021 in Land
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Many cities face health issues that result from ineffective urban planning strategies. The chances of doing exercises in sportive venues implicate public health and citizen quality of life. With the advent of the geo-big data era, it is crucial to explore the spatial pattern of sports facilities to reflect urban health issues. This study aims to decode the street-based spatiality of gyms (one prevailing type of sportive venues) from a comprehensive perspective by both geometric methods (i.e., segment streets) and topological analytics in the context of complexity science (i.e., complex network derived from the topology of natural streets). We found that: (1) gyms are spatially clustered and distributed unevenly; (2) community-to-gym walkability fits the power-law with a heavy-tailed distribution at the 10-min and 20-min temporal scales; (3) the model for the street connectivity and the multi-distance reachability of gyms is with high polynomial fitting goodness. This article is conducive to strategies-making of healthy city planning and the further optimization of urban spatial structure.

ACS Style

Ying Jing; Ding Ma; Yaolin Liu; Jiaxing Cui; Sheng Zhang; Yiyun Chen. Decoding the Street-Based Spatiality of Urban Gyms: Implications for Healthy City Planning. Land 2021, 10, 175 .

AMA Style

Ying Jing, Ding Ma, Yaolin Liu, Jiaxing Cui, Sheng Zhang, Yiyun Chen. Decoding the Street-Based Spatiality of Urban Gyms: Implications for Healthy City Planning. Land. 2021; 10 (2):175.

Chicago/Turabian Style

Ying Jing; Ding Ma; Yaolin Liu; Jiaxing Cui; Sheng Zhang; Yiyun Chen. 2021. "Decoding the Street-Based Spatiality of Urban Gyms: Implications for Healthy City Planning." Land 10, no. 2: 175.

Journal article
Published: 05 January 2021 in Land
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Regional land use transitions driven by the adaptive reconciliation of existing land use conflict with socioeconomic development can lead to positive economic effects as well as new land use conflict. Although research on land use transition has progressed considerably, limited studies have explored the spatiotemporal dynamic pattern of land use conflict during the land use transition period. Previous evaluation approaches on land use conflict that mainly focus on status or potential conflict lack conflict intensity evaluation during the land use transition process. A new spatially explicit evaluation framework of land use conflict that directly examines three aspects of conflict, namely, ecological and agricultural (EAC), agricultural and construction (ACC), and ecological and construction (ECC) land conflicts based on ecological quality and agricultural suitability, is proposed in this study. The spatiotemporal dynamic pattern and driving factors of land use conflict in the Yangtze River Economic Belt of China in the period of 2000–2018 are evaluated. The results indicated that comprehensive land use conflict (CLUC) intensity slightly decreased by 9.91% and its barycenter showed a trend toward the west during 2000–2018. ACC is the most drastic conflict among the three aspects of conflict. The mean intensity of ACC reduced remarkably by 38.26%, while EAC increased by 33.15% and ECC increased by 28.28% during the research periods. The barycenter of EAC moved toward the east while the barycenter of ACC and ECC moved toward the west. The changes in the intensity and spreading pattern of land use conflict indices demonstrated the changes in the pattern of territorial space development. Total population, population density, per capita GDP, number of mobile phone users, and road density were strong drivers that influenced the land use conflict of territorial space. Multiple policy recommendations including improving territorial space planning and governance ability, and improving land use efficiency, were proposed to manage and resolve the land use conflict of territorial space. The results and conclusions of this study will help improve future regional land use policies and reduce land use conflict.

ACS Style

Jiaxing Cui; Xuesong Kong; Jing Chen; Jianwei Sun; Yuanyuan Zhu. Spatially Explicit Evaluation and Driving Factor Identification of Land Use Conflict in Yangtze River Economic Belt. Land 2021, 10, 43 .

AMA Style

Jiaxing Cui, Xuesong Kong, Jing Chen, Jianwei Sun, Yuanyuan Zhu. Spatially Explicit Evaluation and Driving Factor Identification of Land Use Conflict in Yangtze River Economic Belt. Land. 2021; 10 (1):43.

Chicago/Turabian Style

Jiaxing Cui; Xuesong Kong; Jing Chen; Jianwei Sun; Yuanyuan Zhu. 2021. "Spatially Explicit Evaluation and Driving Factor Identification of Land Use Conflict in Yangtze River Economic Belt." Land 10, no. 1: 43.

Journal article
Published: 23 October 2019 in Journal of Rural Studies
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Integrated urban–rural development is important in rural vitalisation. Most publications have focused on the structural system of urban agglomerations but ignored urban–rural systems at the county level. To fill this research gap, a three-level construction method using network analysis is proposed for investigating the structure of the interconnection of rural and urban systems at the county level. Hierarchical systems among towns, between towns and villages as well as among rural settlements are recognised by the interconnection strength measured by multiple methods. The development strategy of each town is decided using cross discrimination based on its nodality and network centrality. The hierarchy between towns and villages is characterised by interconnection analysis between towns and villages and one village would be designated as the hinterland of the destination town with the highest frequency of commuting behaviour. The hierarchy among rural settlements is characterised by their interdependence using gravity model and the central settlements are identified according to the forms of settlement clusters with their respective three spatial patterns (i.e., single-centre, dual-core and linear). The city- and sub-centres of Daye, economic hinterland of each town and central settlements were identified to provide guidelines for the development of rural planning and vitalisation. Our case study demonstrates the potential of the proposed analysis framework for the guidance of the urban-rural system construction. However, further investigation and alternative data sources are needed to fully reflect the interactive intensity between towns and rural settlements.

ACS Style

Jiaxing Cui; Jing Luo; Xuesong Kong; Jianwei Sun; Jiang Gu. Characterising the hierarchical structure of urban-rural system at county level using a method based on interconnection analysis. Journal of Rural Studies 2019, 1 .

AMA Style

Jiaxing Cui, Jing Luo, Xuesong Kong, Jianwei Sun, Jiang Gu. Characterising the hierarchical structure of urban-rural system at county level using a method based on interconnection analysis. Journal of Rural Studies. 2019; ():1.

Chicago/Turabian Style

Jiaxing Cui; Jing Luo; Xuesong Kong; Jianwei Sun; Jiang Gu. 2019. "Characterising the hierarchical structure of urban-rural system at county level using a method based on interconnection analysis." Journal of Rural Studies , no. : 1.

Journal article
Published: 17 October 2017 in Sustainability
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Urban leisure venues proffer spatial carriers for citizens’ leisure activities and their functions rely heavily on the spatial configuration, which have largely been ignored. The increasing needs for healthy leisure life and the availability of geospatial open data provide a rising opportunity to fill this gap. To examine the spatial distribution of leisure venues and explore its underlying dominating factors, we adopt geospatial analysis techniques—point pattern analysis and cluster analysis with multi-sources geospatial data in Wuhan, Central China. Results conclude interesting spatial discrepancy based on a three-level clustered pattern of 86520 leisure venues. We find that (1) most clusters are in urban center along the Yangtze River with all 1st-level clusters and plentiful 2nd-level and 3rd-level clusters; (2) There are just sporadic clusters in suburban areas—no 1st-level, merely one 2nd-level and some few 3rd-level ones. Moreover, we demonstrate three underlying dominating factors (i.e., the policy, population and economy) and identify that (1) No systematic (spatial-relevant) leisure policy framework is formed; (2) Population density and commercial centers have positive correlation with the distribution of leisure venues. This study contributes to spatial-relevant leisure policy-making for facilitating healthy leisure life, optimizing leisure space, guiding people-oriented urbanization transition and promoting urban competence.

ACS Style

Yaolin Liu; Ying Jing; Enxiang Cai; Jiaxing Cui; Yang Zhang; Yiyun Chen. How Leisure Venues Are and Why? A Geospatial Perspective in Wuhan, Central China. Sustainability 2017, 9, 1865 .

AMA Style

Yaolin Liu, Ying Jing, Enxiang Cai, Jiaxing Cui, Yang Zhang, Yiyun Chen. How Leisure Venues Are and Why? A Geospatial Perspective in Wuhan, Central China. Sustainability. 2017; 9 (10):1865.

Chicago/Turabian Style

Yaolin Liu; Ying Jing; Enxiang Cai; Jiaxing Cui; Yang Zhang; Yiyun Chen. 2017. "How Leisure Venues Are and Why? A Geospatial Perspective in Wuhan, Central China." Sustainability 9, no. 10: 1865.

Social science
Published: 16 June 2016 in Journal of Maps
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Land fragmentation and soil degradation are major barriers to agricultural production. Agricultural land consolidation (ALC) can effectively address these problems. A regional case study in Central China was used to analyze the spatial characteristics of the implemented ALC projects (ALCPs) from 2003 to 2010, and the planned ALCPs from 2011 to 2020. ALCPs were classified into basic farmland construction projects (BFCPs) and low-hilly land consolidation projects (LHLCPs). The spatial distribution of BFCPs and LHLCPs was presented on maps with a 1:10,000 scale. A comparative analysis showed that the landscape indices of the project areas varied significantly in different phases. The implemented BFCPs are more centralized in space than the implemented LHLCPs. The proportionality (p) was proposed to evaluate the rationality of ALC planning at the town level. Results showed an apparent imbalance of p values among different towns. Shape regularity and centrality are important criteria for selecting ALCPs at spatio-temporal level. The maps provide a patch-based overview of the distribution and aggregation of ALCPs from 2003 to 2020. The findings have implications on assessing rationality and time scheduling of ALCPs.

ACS Style

Jiaxing Cui; Xuesong Kong; Yanfang Liu; Shaochen Wang. Spatio-temporal variation of agricultural land consolidation in China: case study of Huangshi, Hubei Province. Journal of Maps 2016, 12, 493 -497.

AMA Style

Jiaxing Cui, Xuesong Kong, Yanfang Liu, Shaochen Wang. Spatio-temporal variation of agricultural land consolidation in China: case study of Huangshi, Hubei Province. Journal of Maps. 2016; 12 (sup1):493-497.

Chicago/Turabian Style

Jiaxing Cui; Xuesong Kong; Yanfang Liu; Shaochen Wang. 2016. "Spatio-temporal variation of agricultural land consolidation in China: case study of Huangshi, Hubei Province." Journal of Maps 12, no. sup1: 493-497.

Article
Published: 12 May 2016 in Chinese Geographical Science
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Land suitability assessment is a prerequisite phase in land use planning; it guides toward optimal land use by providing information on the opportunities and constraints involved in the use of a given land area. A geographic information system-based procedure, known as rural settlement suitability evaluation (RSSE) using an improved technique for order preference by similarity to ideal solution (TOPSIS), was adopted to determine the most suitable area for constructing rural settlements in different geographical locations. Given the distribution and independence of rural settlements, a distinctive evaluation criteria system that differed from that of urban suitability was established by considering the level of rural infrastructure services as well as living and working conditions. The unpredictable mutual interference among evaluation factors has been found in practical works. An improved TOPSIS using Mahalanobis distance was applied to solve the unpredictable correlation among the criteria in a suitability evaluation. Uncertainty and sensitivity analyses obtained via Monte Carlo simulation were performed to examine the robustness of the model. Daye, a resource-based city with rapid economic development, unsatisfied rural development, and geological environmental problems caused by mining, was used as a case study. Results indicate the following findings: 1) The RSSE model using the improved TOPSIS can assess the suitability of rural settlements, and the suitability maps generated using the improved TOPSIS have higher information density than those generated using traditional TOPSIS. The robustness of the model is improved, and the uncertainty is reduced in the suitability results. 2) Highly suitable land is mainly distributed in the northeast of the study area, and the majority of which is cultivated land, thereby leading to tremendous pressure on the loss of cultivated land. 3) Lastly, 12.54% of the constructive expansion permitted zone and 8.36% of the constructive expansion conditionally permitted zone are situated in an unsuitable area, which indicates that the general planning of Daye lacks the necessary verification of suitability evaluation. Guidance is provided on the development strategy of rural settlement patches to support decision making in general land use planning.

ACS Style

Yanfang Liu; Jiaxing Cui; Xuesong Kong; Chen Zeng. Assessing suitability of rural settlements using an improved technique for order preference by similarity to ideal solution. Chinese Geographical Science 2016, 26, 638 -655.

AMA Style

Yanfang Liu, Jiaxing Cui, Xuesong Kong, Chen Zeng. Assessing suitability of rural settlements using an improved technique for order preference by similarity to ideal solution. Chinese Geographical Science. 2016; 26 (5):638-655.

Chicago/Turabian Style

Yanfang Liu; Jiaxing Cui; Xuesong Kong; Chen Zeng. 2016. "Assessing suitability of rural settlements using an improved technique for order preference by similarity to ideal solution." Chinese Geographical Science 26, no. 5: 638-655.

Journal article
Published: 01 April 2016 in Cities
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In 2014, China adjusted its “city categorization standard.” The newly defined megalopolises and metropolises are under unprecedented pressure from various eco-environmental problems, making them suitable representatives for exploring the state of urban ecosystem health. In this study, we establish a two-layer indicator system to assess the urban ecosystem health and choose 33 indicators grouped into social, economic, transportation, facility, land, and management subsystems, with the aim of correlating human activities with the structure, vigor, resilience, and health of the urban ecosystem. We integrate subjective and objective methods to determine weights at different levels through the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), the analytic hierarchy process, and information entropy. In particular, we develop a spatial TOPSIS technique by introducing a Euclidean-distance-based weight to rank the health of the cities' ecosystem in terms of the spatial effects among these cities. The results reveal that megalopolises such as Beijing, Shanghai, and Guangzhou have superior social and economic subsystems, whereas other megacities have advantages in transportation, facility, land, and management subsystems. From 2005 to 2010, the gaps among these cities in terms of urban ecosystem health significantly reduced regardless of the weight determination method. Not all indicators involved can help realize a better urban ecosystem. Nevertheless, they provide a reference point for making specific regulations to control human activity and improve eco-environmental management.

ACS Style

Chen Zeng; Xiangzheng Deng; Shan Xu; Yiting Wang; Jiaxing Cui. An integrated approach for assessing the urban ecosystem health of megacities in China. Cities 2016, 53, 110 -119.

AMA Style

Chen Zeng, Xiangzheng Deng, Shan Xu, Yiting Wang, Jiaxing Cui. An integrated approach for assessing the urban ecosystem health of megacities in China. Cities. 2016; 53 ():110-119.

Chicago/Turabian Style

Chen Zeng; Xiangzheng Deng; Shan Xu; Yiting Wang; Jiaxing Cui. 2016. "An integrated approach for assessing the urban ecosystem health of megacities in China." Cities 53, no. : 110-119.

Journal article
Published: 12 December 2014 in Cities
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In the context of promoting new urbanization in China, urban expansion has been the subject of a consolidated line of research in the past two decades. In this study, we integrate remote sensing, a geographical information system, and spatial analysis techniques to monitor and model urban expansion with a spatially explicit and multi-scale perspective in Wuhan, the megacity in central China. We first extract urban built-up land from medium to high resolution images from 1995 to 2010 and analyze the expansion dynamics at the parcel level. For the exploration of the driving mechanisms underlying urban expansion, 20 explanatory variables are then categorized into three groups: characteristics, density, and proximity. A kernel window is then utilized to filter the extracted urban built-up land map at multiple scales. Moran’s I is later used to test the spatial autocorrelation in the percentage of urban built-up land area and the residuals. Finally, a spatial lag model and a spatial error model are applied to explore the causal factors of urban built-up land. It is revealed that the area of transportation land in Wuhan has increased tremendously, and urban built-up land is less scattered at the micro-scales. Regardless of the scale or model, housing density and gross domestic product (GDP) are positively correlated with the urban built-up land area, whereas the influence of other factors is shown to vary along with the scale or model. The results also confirm the superiority of the spatial regression models, and better fitting is produced with the increase in the scale. In the future, it is anticipated that the interpretation of remote sensing images and spatial analysis techniques will be optimized for better manifestation of intra-urban spatial interaction. In this process, the scale effect is an issue that should not be neglected in future studies of urban expansion.

ACS Style

Chen Zeng; Mengdi Zhang; Jiaxing Cui; Sanwei He. Monitoring and modeling urban expansion—A spatially explicit and multi-scale perspective. Cities 2014, 43, 92 -103.

AMA Style

Chen Zeng, Mengdi Zhang, Jiaxing Cui, Sanwei He. Monitoring and modeling urban expansion—A spatially explicit and multi-scale perspective. Cities. 2014; 43 ():92-103.

Chicago/Turabian Style

Chen Zeng; Mengdi Zhang; Jiaxing Cui; Sanwei He. 2014. "Monitoring and modeling urban expansion—A spatially explicit and multi-scale perspective." Cities 43, no. : 92-103.