Strategy formulation for the sustainable development of smart cities: a case study of Nanjing, China
Abstract
Smart cities possess huge potential in future urban development. However, the critical problems in developing sustainable smart cities in China are the lack of clear strategies and effective strategy planning tools. Therefore, reasonable plans and strategies play important roles in helping the government develop sustainable smart cities. In this study, 16 SWOT (Strength, Weakness, Opportunity, and Threat) factors were identified. According to a structured questionnaire survey about SWOT factors, an integrated method, composed of SWOT and AHP (analytic hierarchy process) was conducted. A case study was conducted in Nanjing, China. The most powerful facilitators (strengths and opportunities) and the most powerful obstacles (weaknesses and threats) for developing Smart Nanjing City (SNC) were identified. The strategic intensity and value of the elements were confirmed. Moreover, proactive strategies were proposed including strengthening intelligent clusters, establishing governance ecosystem, and providing integrated services for SNC, which can be considered as policy suggestions for SNC, providing hybrid strategies for a planning approach integrating bottom-up and top-down design to develop smart cities, as a reference for other global cities. Moreover, the proposed AHP-SWOT hybrid method can be used as an effective quantitative strategy planning tool to help other authorities determine appropriate strategies for developing smart cities.
Keyword : smart cities, SWOT, AHP, strategy formulation, sustainable development
How to Cite
Yuan, J., Xie, H., Yang, D., Xiahou, X., Skibniewski, M. J., & Huang, W. (2020). Strategy formulation for the sustainable development of smart cities: a case study of Nanjing, China. International Journal of Strategic Property Management, 24(6), 379-399. https://doi.org/10.3846/ijspm.2020.13345
This work is licensed under a Creative Commons Attribution 4.0 International License.
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Mora, L., Deakin, M., & Reid, A. (2019). Strategic principles for smart city development: a multiple case study analysis of European best practices. Technological Forecasting and Social Change, 142, 70–97.
https://doi.org/10.1016/j.techfore.2018.07.035
Mosannenzadeh, F., Di Nucci, M. R., & Vettorato, D. (2017). Identifying and prioritizing barriers to implementation of smart energy city projects in Europe: an empirical approach. Energy Policy, 105, 191–201. https://doi.org/10.1016/j.enpol.2017.02.007
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http://www.stats.gov.cn/tjsj/zxfb/201702/t20170228_1467424.html
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Parasol, M. (2017). The impact of China’s 2016 cyber security law on foreign technology firms, and on China’s big data and smart city dreams. Computer Law & Security Review, 34(1), 67–98. https://doi.org/10.1016/j.clsr.2017.05.022
Polat, Z. A., Alkan, M., & Sürmeneli, H. G. (2017). Determining strategies for the cadastre 2034 vision using an AHP-Based SWOT analysis: a case study for the Turkish cadastral and land administration system. Land Use Policy, 67, 151–166. https://doi.org/10.1016/j.landusepol.2017.05.004
Qin, H., & Luo, W. (2014). Evaluation report on the level of informatization development in China (in Chinese).
Ruhlandt, R. W. S. (2018). The governance of smart cities: a systematic literature review. Cities, 81, 1–23. https://doi.org/10.1016/j.cities.2018.02.014
Saaty, T. L. (1977). A scaling method for priorities in hierarchical structures. Journal of Mathematical Psychology, 15(3), 234–281. https://doi.org/10.1016/0022-2496(77)90033-5
Saaty, T. L., & Vargas, L. G. (2012). Models, methods, concepts & applications of the analytic hierarchy process. Springer Science & Business Media. https://doi.org/10.1007/978-1-4614-3597-6
Scott, W. R. (2008). Institutions and organizations: ideas and interests. Sage Publications.
Şeker, Ş., & Özgürler, M. (2012). Analysis of the Turkish consumer electronics firm using SWOT-AHP method. Procedia – Social and Behavioral Sciences, 58, 1544–1554.
https://doi.org/10.1016/j.sbspro.2012.09.1141
Sharifi, A. (2019). A critical review of selected smart city assessment tools and indicator sets. Journal of Cleaner Production, 233, 1269–1283. https://doi.org/10.1016/j.jclepro.2019.06.172
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