A framework for path-dependent industrial land transition analysis using vector data

Wang, Tong; Kazak, Jan; Han, Qi; Vries, Bauke de

doi:10.1080/09654313.2019.1588852

Cited by 38 publications

(24 citation statements)

References 45 publications

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“…In addition, a typical survey cannot usually provide a full view of the whole cropland abandonment in the study area. In spite of the household survey and satellite image datum, the cadastral datum is a defendable datum to help mapping abandoned cropland [23]. However, in some regions such as China, there are no public cadastral databases, limiting the utilization of the cadastral datum.…”

Section: Introductionmentioning

confidence: 99%

Mapping Cropland Abandonment in Mountainous Areas Using an Annual Land-Use Trajectory Approach

Song

2019

Sustainability

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In recent years, with the unceasing acceleration of China's urbanization and rapid development of the country's economy, cropland abandonment has become an ongoing issue, especially in mountainous areas. Mapping abandoned cropland using remote sensing technology is still challenging due to the difficulties in distinguishing abandoned cropland from fallowed land. In addition, there are few credible approaches to map timing and recultivation of abandoned cropland. In this context, this research developed an annual land-use trajectory approach to map different types of abandoned cropland based on freely available Landsat and HJ-1 satellite images with a spatial resolution of 30 m. Based on this method, five types of cropland change, including one type of fallowed land and two types of abandoned land, were identified in a mountainous town of China (Zhongduo). In addition, the timing and recultivation of abandoned cropland were assessed. The accuracy of the abandonment map was assessed as high as 86.67%. It was found that the percentages of spontaneous abandoned, induced abandoned, fallowed, stable, and lost cropland in Zhongduo were 23.16%, 8.40%, 13.69%, 27.84%, and 26.91% from 2012 to 2017, respectively. The average time for spontaneously abandoned cropland was 3.45 years. Furthermore, 50.54% of the spontaneously abandoned cropland and 12.91% of induced abandoned cropland were recultivated due to fluctuating prices of agricultural products and materials, and the implemented land transfer policy.

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Section: Introductionmentioning

confidence: 99%

Mapping Cropland Abandonment in Mountainous Areas Using an Annual Land-Use Trajectory Approach

Song

2019

Sustainability

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“…Supported by GIS data, studies on land use classes transformation and land use conflicts are becoming increasingly diversified. Taking the North Brabant region in the Netherlands as a case study, Wang et al developed a generic framework to analyze the industrial land transition using vector data [38]; the analysis procedure can not only help to find the neighborhood land use interaction rules for the CA model, but also help to formulate a sustainable policy on land uses [39]. A two-dimensional model of land use conflict was built to anticipate and identify the areas of potential land use conflicts using public participation GIS data in Australia [40].…”

Section: Discussion Of the Studymentioning

confidence: 99%

Spatial Conflict of Production–Living–Ecological Space and Sustainable-Development Scenario Simulation in Yangtze River Delta Agglomerations

Lin

Jiang

et al. 2020

Sustainability

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Production–living–ecological space (PLES) is a recent research hotspot on land planning and regional sustainable development in China. Taking the Yangtze River Delta agglomerations as a case study, this paper establishes a spatial-conflict index to identify the PLES conflicts, and then builds a cellular-automaton (CA) Markov model to simulate the PLES pattern in 2030 and to evaluate the influence on PLES conflicts under two scenarios. Results showed that the ecological space (ES) and the living–productive space (LPS) of the Yangtze River Delta agglomerations showed a descending tendency in 2010–2015, whereas ecological–productive space (EPS) and productive–ecological space (PES) reflected a small increase. EPS and PES had squeezed ES and LPS with urbanization and industrial development in this region. Meanwhile, the spatial conflicts of PLES worsened during the period, with the average of the spatial-conflict index (SCI) shifting from 0.283 to 0.522, and seemed to gain momentum. On the basis of scenario analysis for 2030, it was concluded that the “ecological red line policy”, appropriate restriction of urban expansion, and ecological management of the bank of the Yangtze River are helpful in alleviating PLES conflicts, and contribute to spatial structure and harmonizing. The results of this study are expected to provide valuable implications for spatial planning and sustainable development in the Yangtze River delta agglomerations.

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“…Industrial land parcels are one of the most essential components, with the proportion from 15% to 30% in urban planning due to national regulations. During the past decades, the government was more likely to provide industrial land for attracting investment in China [24], and thus industrial parcels might sprawl quickly. Jiang et al found that the industrial and residential parcels in Beijing presented a disordered urban spatial structure during the urban sprawl process from 2001 to 2012, because of the different sprawl patterns [25] (Figure 1b).…”

Section: Orientation On Industrial Land Parcels and Environmental Risksmentioning

confidence: 99%

Identification of Industrial Land Parcels and Its Implications for Environmental Risk Management in the Beijing–Tianjin–Hebei Urban Agglomeration

et al. 2019

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Due to rapid, sprawling urban and industrial development, urbanization in China has led to serious environmental pollution with subsequent risks to human well-being. Landscapes comprised of intermingled residential and industrial areas are common across China, which is a large challenge for effective urban planning and environmental protection. Being able to identify industrial land across the urban landscape is critical for understanding patterns of urban design and subsequent consequences for the environment. Here, we describe a method to quickly identify industrial parcels using points of interest (POIs) and large-scale spatial data. We used the Beijing–Tianjin–Hebei urban agglomeration as a case study and identified 8325 square kilometers of industrial land, accounting for 30.7% of the total built land. Based on ground-truth randomly-sampled sites, the accuracy, precision, and recall of identified industrial areas were 87.1%, 66.4%, and 68.1%, respectively. Furthermore, we found that over 350 km2 of the industrial parcels were high human settlement risks and mainly were distributed in Tianjin and Tangshan city. Over 28.8% of the identified industrial land parcels might be at the risk of potential soil contamination. The results can be helpful in future urban planning and for identifying urban areas that are targets for implementing environmental risk management and remediation.

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A framework for path-dependent industrial land transition analysis using vector data

Cited by 38 publications

References 45 publications

Mapping Cropland Abandonment in Mountainous Areas Using an Annual Land-Use Trajectory Approach

Mapping Cropland Abandonment in Mountainous Areas Using an Annual Land-Use Trajectory Approach

Spatial Conflict of Production–Living–Ecological Space and Sustainable-Development Scenario Simulation in Yangtze River Delta Agglomerations

Identification of Industrial Land Parcels and Its Implications for Environmental Risk Management in the Beijing–Tianjin–Hebei Urban Agglomeration

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