Evaluating Low-Carbon Development of Smart City Based on I-COPRAS: An Application for Jiangsu Province
- DOI
- 10.2991/978-94-6463-038-1_51How to use a DOI?
- Keywords
- smart city; low-carbon development; interacting criteria; complex proportional assessment (COPRAS); λ fuzzy measure
- Abstract
More than 60% of China’s population is currently live in cities. The trend of urbanization highlights the importance of city low-carbon development. While the construction of smart city effectively improves the efficiency of urban low-carbon development management. To achieve the goal of urban low-carbon development, it’s essential to evaluate the urban low-carbon development by considering diverse performance criteria. As the evaluation of low-carbon development usually involves many criteria and exists interaction between criteria, this paper improves complex proportional assessment (COPRAS) considering interacting criteria with λ fuzzy measure. To demonstrates the feasibility and applicability of I-COPRAS, this paper includes an empirical study on the low-carbon development performance evaluation of smart city pilots in Jiangsu Province, urban data analysis and comparison with the COPRAS method without considering interaction.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Zhenghong Chen PY - 2022 DA - 2022/12/15 TI - Evaluating Low-Carbon Development of Smart City Based on I-COPRAS: An Application for Jiangsu Province BT - Proceedings of the 2022 3rd International Conference on Management Science and Engineering Management (ICMSEM 2022) PB - Atlantis Press SP - 552 EP - 561 SN - 2589-4943 UR - https://doi.org/10.2991/978-94-6463-038-1_51 DO - 10.2991/978-94-6463-038-1_51 ID - Chen2022 ER -