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Application of Big Data and Analytic Network Process for the Adaptive Reuse Strategies of School Land

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Abstract

Most recent discussion of the adaptive reuse of school land has focused almost exclusively on repurposing or redeploying vacant school space rather than comprehensively re-planning and constructing the entire school land for the overall needs of society and urban development. The relevant government agencies for school land reuse in Taiwan, such as the Ministry of Education and municipal governments, mostly provide subjective regulations or revitalization provisions for the sustainable development of school resources; however, no specific scientific assessment or a planning procedure has been proposed to revitalize school land. Therefore, constructing a scientific, quantitative, and objective planning framework and procedure is necessary for the adaptive reuse of school land based on the needs of overall society and urban development in order to replace the existing and outdated planning philosophy and to correct prominent shortcomings of past planning operations that were solely in accordance with the qualitative judgment and decision making of official agencies. In this study, we mainly adopted the analytic network process (ANP) and big data, including demographics, facility usage, and social welfare indicators, to assist the Taipei City government to construct or reform land reuse strategies for junior high and elementary schools facing immediate or future closure, consolidation, or downsizing. To take a more realistic approach to improve final decision making, the investigation of expert questionnaires through the ANP was based on the consideration of future trends that were objectively evaluated by big datasets. The novel planning philosophy and concise decision framework for reuse strategies we designed are expected to improve public decision-making transparency, adaptive reuse effectiveness, and quality of urban life. Ultimately, our proposed strategies and suggestions can not only assist local public sectors to promote the policy of adaptive reuse of surplus school lands but also serve as an appropriate blueprint of urban sustainability for the central government in the near future.

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Acknowledgements

The authors would like to thank anonymous referees and the Editor of the journal for constructive comments and suggestions. The authors also wish to acknowledge Jun-Hui Xie for his participation in data collection and analysis activities. Finally, the authors would like to express their appreciations to Ministry of Science and Technology (MOST) of Taiwan and National Taipei University (NTPU) for the support of the projects: MOST 104-2410-H-305-077-MY3, MOST 106-2811-H-305-004, and 107-NTPU_A-H&E-143-001. The views expressed are those of the authors and do not represent the official policy or positions of the MOST and NTPU.

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  1. Department of Real Estate and Built Environment, National Taipei University, 151 University Road, San Shia District, New Taipei City, 23741, Taiwan

    Jhong-You Huang & Wann-Ming Wey

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  1. Jhong-You Huang
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Huang, JY., Wey, WM. Application of Big Data and Analytic Network Process for the Adaptive Reuse Strategies of School Land. Soc Indic Res 142, 1075–1102 (2019). https://doi.org/10.1007/s11205-018-1951-y

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