Extended Land-Use Coding System and Its Application in Urban Brownfield Redevelopment: Case Study of Tiexi District in Shenyang, China

Xue, Bing; Zhang, Liming; Geng, Yong; Mitchell, Bruce; Ren, Wanxia

doi:10.1061/(asce)up.1943-5444.0000309

Cited by 18 publications

(15 citation statements)

References 34 publications

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“…For example, heavy industrial land which are contaminated are probably not suitable for residential land while other types of industrial land might be suitable. Xue, Zhang, Geng, Mitchell, and Ren (2016) have stated this approach for brownfield transition exercises in China by proposing an extended coding system for land use types. A sub-type of industrial land transition (coalfield) case study is presented by Burke, Hough, Morgan, Hughes, and Lawrence (2015), so as a case study for the creative industry by He and Gebhardt (2014).…”

Section: Conclusion and Further Directionsmentioning

confidence: 99%

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

Wang

Kazak

Han

et al. 2019

European Planning Studies

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Industrial land is under transition globally. Insights into this transition are important to plan a sustainable future. Since industrial land follows parcel shapes and the transition process requires multi-year data to observe the impacts of such changes, multi-year vector data should be used to analyse industrial land transition. This paper presents a framework to analyse pathdependent regional industrial land transition processes using vector data. A step by step instruction is presented. In the analysis, the changed percentages of land use in the surroundings of appeared or disappeared industrial land are visualized. The visualized surrounding land use compositions give planners an idea on what causes land use transitions, the most frequent transition forms and their impacts on the surroundings, purely from a land use point of view to reduce data collection efforts. The North Brabant region in the Netherlands is used as a case study. The region is split into urban and non-urban areas to show the generic applicability of this framework.

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Section: Conclusion and Further Directionsmentioning

confidence: 99%

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

Wang

Kazak

Han

et al. 2019

European Planning Studies

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“…Cities are giant, complex systems, composed of different functional areas that involve various types of urban land [1][2][3][4], such as residential areas, commercial areas, and industrial areas. Rapid urbanization causes urban spatial expansion and urban renewal, which in turn trigger the diffusion and agglomeration of urban functions and the reorganization of urban functional areas [5][6].…”

Section: Introductionmentioning

confidence: 99%

Identification of urban functions enhancement and weakening based on urban land use conversion: A case study of Changchun, China

Zhou

Zhang

2020

PLoS ONE

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A deep understanding of urban functions is the basis for the optimization of urban spatial structure and for the sustainable development of urban space. Previous research mainly focused on the identification and classification of urban functions using a variety of data and methods; however, little attention has been paid to the quantitative measurement of changes in urban functions, and to their temporal and spatial evolution. With the help of urban land use maps, we used the overlay analysis and the transition matrix to quantitatively measure the enhancement and weakening of urban functions and their spatial differences, by analyzing the relationship between urban land development and redevelopment. Accordingly, the change state of urban function enhancement and weakening could be divided into six categories. Moreover, the results of research on residential, commercial, public service, and industrial functions show that changes in different urban functions have different temporal and spatial characteristics. Our findings on the enhancement and weakening of urban functions in the central city of Changchun provide theoretical support for the sustainable development of urban space in the future.

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“…is document clearly reiterated that it was important to promote sustainable development of resource-based cities, and strive for the coordinated social and economic development of resource-based and non-resource-based industries in urban areas and mining areas. Since the implementation of the above policies and plans, the economic and social development in the traditional industrial area in Northeast China was accelerated; the economic strength was continuously enhanced; the pilot of economic transformation of resourcebased cities was steadily advanced; the infrastructure was constantly improved; the ecological construction and environmental protection had achieved positive outcomes; an urban social security system was preliminarily established; and the employment situation showed an upward turn [37]. However, in the transformation process of the traditional industrial area for undertaking industrial transfer, nurturing alternative industries, and transforming towards sustainable development from resource-based cities, Northeast China has not completely come out of the traditional energyconsuming production model.…”

Section: Introductionmentioning

confidence: 99%

Synergistic Evaluation and Constraint Factor Analysis on Urban Industrial Ecosystems of Traditional Industrial Area in China

Liu

et al. 2020

Complexity

Self Cite

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Industrial ecology is an advanced form and ideal model of modern industrial development, in which the industrial ecosystem is the core. Based on the PSR model, this paper builds a comprehensive evaluation index system for urban industrial ecosystem development and selects 14 prefecture-level cities in Liaoning Province of the traditional industrial area in Northeastern China as cases to calculate the development level of its industrial ecosystem during 2000–2018 using an improved Topsis method and then to conduct a spatial visualization analysis. Finally, based on the “stress-state-response” subsystem, this paper diagnoses the constraints for industrial ecosystem development, which can provide a reference basis for decision-making in industrial ecology of traditional industrial area represented by those in Northeast China. The results show the following: (1) From 2000 to 2018, the industrial ecology of the 14 cities in Liaoning Province was at a medium level. Except for Shenyang and Dalian with the rapid development, the difference of industrial ecosystem development for other cities was relatively small. (2) From 2000 to 2018, the industrial ecosystem development of each city was in a status of “either increasing, or decreasing, or fluctuating,” which generally raised first and then decreased. Regarding spatial difference, the development exhibited a “center-periphery” pattern, with Shenyang and Dalian as the “dual-core” that were increasingly strengthened with significantly high-level industrial ecology. (3) At system level, PSR constraint grades for the industrial ecosystem development in the 14 cities of Liaoning Province were different. Constraint grades in the pressure subsystem, the state subsystem, and the response subsystem for the industrial ecosystem of Liaoning were 45.73%, 20.01%, and 34.34%, respectively, indicating that the lack of human response to the ecological environment and the pressure of human activities on the ecological environment during the industrial economy development were the main constraints affecting the process of industrial ecology in these cities. (4) Due to the differences in geographical environments, economic bases, industrial structures, and local development contexts, the major constraint factors of industrial ecosystem development in different cities are significantly different and complicated; however, there are five factors that are generally considered as major constraint factors in all cities, i.e., regional GDP, number of labor force employed in the secondary industrial sector, gross investment in fixed assets, amount of industrial sulfur dioxide removal, and production value from “three-wastes” comprehensive utilization. At last, this paper puts forward some recommendations and suggestions for providing scientific support for industrial ecosystem construction in the traditional industrial area of Northeastern China.

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Extended Land-Use Coding System and Its Application in Urban Brownfield Redevelopment: Case Study of Tiexi District in Shenyang, China

Cited by 18 publications

References 34 publications

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

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

Identification of urban functions enhancement and weakening based on urban land use conversion: A case study of Changchun, China

Synergistic Evaluation and Constraint Factor Analysis on Urban Industrial Ecosystems of Traditional Industrial Area in China

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