| Title | How Does ICT Expansion Drive "Smart" Urban Growth? A Case Study of Nanjing, China |
|---|---|
| ID_Doc | 42335 |
| Authors | Cai, ZP; Cvetkovic, V; Page, J |
| Title | How Does ICT Expansion Drive "Smart" Urban Growth? A Case Study of Nanjing, China |
| Year | 2020 |
| Published | Urban Planning, 5, 1 |
| Abstract | In the context of accelerated urbanization, socioeconomic development, and population growth, as well as the rapid advancement of information and communication technology (ICT), urban land is rapidly expanding worldwide. Unplanned urban growth has led to the low utilization efficiency of land resources. Also, ecological and agricultural lands are continuously sacrificed for urban construction, which in the long-term may severely impact the health of citizens in cities. A thorough understanding of the mechanisms and driving forces of a city's urban land use changes, including the influence of ICT development, is therefore crucial to the formation of optimal and feasible urban planning in the new era. Taking Nanjing as a study case, this article attempts to explore the measurable "smart" driving indicators of urban land use change and analyze the tapestry of the relationship between these and urban land use change. Different from the traditional linear regression analysis method of driving force of urban land use change, this study focuses on the interaction relationship and the underlying causal relationship among various "smart" driving factors, so it adopts a fuzzy statistical method, namely the grey relational analysis (GRA). Through the integration of literature research and known effective data, five categories of "smart" indicators have been taken as the primary driving factors: industry and economy, transportation, humanities and science, ICT systems, and environmental management. The results show that these indicators have different impacts on driving urban built-up land growth. Accordingly, optimization possibilities and recommendations for development strategies are proposed to realize a "smarter" development direction in Nanjing. This article confirms the effectiveness of GRA for studies on the driving mechanisms of urban land use change and provides a theoretical basis for the development goals of a smart city. |
| https://www.cogitatiopress.com/urbanplanning/article/download/2561/2561 |
Similar Articles
| ID | Score | Article |
|---|---|---|
33583
|
Qian, QL; Luo, SC The dilemma of land green use efficiency in resource-based cities: a perspective based on digital transformation(2024) | |
| 36110
|
Wang, AP; Lin, WF; Liu, B; Wang, H; Xu, H Does Smart City Construction Improve the Green Utilization Efficiency of Urban Land?(2021)Land, 10, 6 | |
| 69395
|
Chen, YF; He, Y Urban Land Expansion Dynamics and Drivers in Peri-Urban Areas of China: A Case of Xiaoshan District, Hangzhou Metropolis (1985-2020)(2022)Land, 11.0, 9 | |
| 20189
|
Zhang, HY; Uwasu, M; Hara, K; Yabar, H; Yamaguchi, Y; Murayama, T Analysis of land use changes and environmental loads during urbanization in China(2008)Journal Of Asian Architecture And Building Engineering, 7, 1 | |
| 33252
|
Bonab, AB; Bellini, F; Rudko, I Theoretical and analytical assessment of smart green cities(2023) | |
| 45372
|
Chen, YT; Li, R; Zeng, EY; Li, PF City spatial structure and smart city innovation: the case of China(2022)Industrial Management & Data Systems, 122, 10 | |
| 37157
|
Xu, Y; Gao, J; Li, M Spatial relationship description model and algorithm of urban and rural planning in the smart city(2024)Open Computer Science, 14.0, 1 | |
| 32935
|
Hong, JX; Mao, YL How does the green efficiency of urban land use evolve in the urban agglomeration of China's middle Yangtze river?(2024)Natural Resource Modeling, 37.0, 2 | |
| 76380
|
Deng, Y; Srinivasan, S Urban land use change and regional access: A case study in Beijing, China(2016) | |
| 38877
|
Zhu, JZ; Liu, WQ; Liu, Y; Wang, D; Qu, S; Duan, YQ; Yao, J Smart city oriented optimization of residential blocks on intensive urban sensing data based on fuzzy evaluation algorithm(2021)Journal Of Ambient Intelligence And Humanized Computing, 12, 1 |