| Title |
Intelligent urban planning on smart city blocks based on bicycle travel data sensing |
| ID_Doc |
41405 |
| Authors |
Hou, QH; Li, WJ; Zhang, XQ; Fang, YN; Duan, YQ; Zhang, LD; Liu, WQ |
| Title |
Intelligent urban planning on smart city blocks based on bicycle travel data sensing |
| Year |
2020 |
| Published |
|
| DOI |
10.1016/j.comcom.2020.01.066 |
| Abstract |
The block is an important spatial unit of urban built-up areas. The investigation of the relationship between bicycle travel mode and land use characteristics at the scale of the block can effectively address the contradiction between the supply and demand for transportation under the background of stock characteristics. Herein, 21 typical blocks in Xi'an are applied as the research object, Mobike bicycle data, mobile phone signaling data and traditional survey data are employed. The correlation analysis and multiple linear regression analysis methods are used to identify the relationship between bicycle travel and land use. As a result, land use characteristics under the influence of bicycle travel are obtained. The results show that the land use indicators significantly related to street bicycle travel are composed of building mixing degree, floor area ratio and riding connectivity. Each index has a positive effect on street bicycle travel. The building mixing degree has the greatest impact on bicycle travel, followed by the floor area ratio and riding connectivity. In different periods, the impact of three indicators on bicycle travel varies. Especially, the impact on weekend bicycle travel is more obvious. This study can provide a reference for the optimization and transformation of land use in blocks under the influence of bicycle travel. |
| Author Keywords |
Bicycle travel; Land use characteristics; Xi'an city blocks; Multiple linear regression |
| 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:000527272900003 |
| WoS Category |
Computer Science, Information Systems; Engineering, Electrical & Electronic; Telecommunications |
| Research Area |
Computer Science; Engineering; Telecommunications |
| PDF |
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