Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 30135
A Study of the Adaptive Reuse for School Land Use Strategy: An Application of the Analytic Network Process and Big Data

Authors: Wann-Ming Wey

Abstract:

In today's popularity and progress of information technology, the big data set and its analysis are no longer a major conundrum. Now, we could not only use the relevant big data to analysis and emulate the possible status of urban development in the near future, but also provide more comprehensive and reasonable policy implementation basis for government units or decision-makers via the analysis and emulation results as mentioned above. In this research, we set Taipei City as the research scope, and use the relevant big data variables (e.g., population, facility utilization and related social policy ratings) and Analytic Network Process (ANP) approach to implement in-depth research and discussion for the possible reduction of land use in primary and secondary schools of Taipei City. In addition to enhance the prosperous urban activities for the urban public facility utilization, the final results of this research could help improve the efficiency of urban land use in the future. Furthermore, the assessment model and research framework established in this research also provide a good reference for schools or other public facilities land use and adaptive reuse strategies in the future.

Keywords: Adaptive reuse, analytic network process, big data, land use strategy.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1315635

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 351

References:


[1] Langston, C., Wong, F. K., Hui, E. C. and Shen, L. Y. , 2009, Strategic assessment of building adaptive reuse opportunities in Hong Kong. Building and Environment, 43 (10), 1709-1718.
[2] Bullen, P. A., & Love, P. E., 2010, The rhetoric of adaptive reuse or reality of demolition: Views from the field. Cities, 27(4), 215-224.
[3] Li, Jiaonong, Lin, Zhenya, 2006, Reflection and Suggestion on Urban Planning under the Change of Population Structure, Quarterly Land Research, Vol. 5, No. 1: 27-42.
[4] Lin, Fong-chong, 2014, Formation and Practice of Urban Planning Policy in Aging Cities: A Case Study of Chingling Friendship City in Taipei, Master's thesis at Institute of Urban Planning, National Taipei University.
[5] Zeng, Yahui, 2011, Less Childhood and Campus Idle Space Reuse, School Administration Bimonthly, 74, pp. 213-228.
[6] Tang, Zhimin, 2008, An Analysis of Recycling of Campus Idle Space Campus Redevelopment and Exercise Space Reuse (pp. 3-63). Taipei: National Museum of Education.
[7] Kitchin, R., 2013, Big data and human geography Opportunities, challenges and risks. Dialogues in human geography, 3 (3), 262-267.
[8] Neirotti, P., De Marco, A., Cagliano, A. C., Mangano, G., & Scorrano, F., 2014, Current trends in Smart City initiatives: Some stylised facts. Cities, 38, 25-36.
[9] Rathore, M. M., Paul, A., Ahmad, A., & Rho, S., 2016, Urban planning and building smart cities based on the internet of things using big data analytics. Computer Networks.
[10] WHO Press, World Health Organization, 2007, http://www.who.int/ageing/age_friendly_cities_guide/zh/.