| Title |
Operating Efficiency-Based Data Mining on Intensive Land Use in Smart City |
| ID_Doc |
41202 |
| Authors |
Duan, YQ; Fan, XY; Liu, JC; Hou, QH |
| Title |
Operating Efficiency-Based Data Mining on Intensive Land Use in Smart City |
| Year |
2020 |
| Published |
|
| DOI |
10.1109/ACCESS.2020.2967437 |
| Abstract |
The discordance between the operation of rail transit and surrounding land use is highlighted with the rapid construction of rail transit in China. The related research on coupling relationship is well needed. Taking 13 typical commercial service rail transit stations in Xi & x2019;an as the example, this article established the evaluation indicator of coordinated relationship between rail transit station operating efficiency and land use, and a data envelopment analysis (DEA)model was used to evaluate the coupling degree between them. According to the research results, the coupling development between operating efficiency and land use in Xi & x2019;an commercial service rail transit station is at a low level and there exists a huge difference between the two. Moreover, this research identified the key indexes that influence the coupling development of the two, namely Class-A, Class-B, and Class-R land use proportion, plot ratio, land use mixture and parking facility control, and determined the reasonable control range of these four indices. The research promotes the intensive use of land around Xi & x2019;an rail transit station and better supports the sustainable operation of rail transit. |
| Author Keywords |
Commercial service rail transit station; operation efficiency; intensive land use; DEA |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI) |
| EID |
WOS:000524753200061 |
| WoS Category |
Computer Science, Information Systems; Engineering, Electrical & Electronic; Telecommunications |
| Research Area |
Computer Science; Engineering; Telecommunications |
| PDF |
https://ieeexplore.ieee.org/ielx7/6287639/8948470/08964331.pdf
|