Predict the Suitable Places to Run in the Urban Area of Beijing by Using the Maximum Entropy Model
文献类型：期刊论文
| 作者 | Song, Liuyi1,2; Zhang, An1,2 |
| 刊名 | ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
 |
| 出版日期 | 2021-08-01 |
| 卷号 | 10期号:8页码:18 |
| 关键词 | running routes physical activities urban environment MaxEnt |
| DOI | 10.3390/ijgi10080534 |
| 通讯作者 | Zhang, An(zhangan@igsnrr.ac.cn) |
| 英文摘要 | Many people in the world do not have enough physical activities to maintain good health, which has recently become a threat to public health. In addition to individual genetic and social factors, we considered the geographical environment of the city as a factor that affects these healthy physical activities. We used the location-based data in social media combined with the open geographic data to explore the impact mechanism of urban environmental factors on human running behaviors. This study collected nine urban environmental variables and preference tracks in Beijing's main urban area. We used the Maximum Entropy Model (MaxEnt) to analyze the relationship between running behaviors and environmental variables and identify suitable areas for running in Beijing. The results showed that: firstly, the variables of attractions, sports and sidewalk density contributed the most to running suitability. Secondly, 47.5% of the main urban areas in Beijing are suitable for running, mainly in the main urban areas with better economic development. Thirdly, the distribution of suitable places for running is unfair in that some places with large populations do not have a matching running environment. |
| WOS关键词 | PHYSICAL-ACTIVITY ; NEIGHBORHOOD ; CHILDREN ; ASSOCIATION ; WALKABILITY ; EXERCISE ; NETWORK ; DESIGN ; PLANAR ; FOOD |
| 资助项目 | National Key Research and Development Program of China[2017YFB0503500] |
| WOS研究方向 | Computer Science ; Physical Geography ; Remote Sensing |
| 语种 | 英语 |
| WOS记录号 | WOS:000690613500001 |
| 出版者 | MDPI |
| 资助机构 | National Key Research and Development Program of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/165129]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Zhang, An |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100190, Peoples R China |
| 推荐引用方式 GB/T 7714 | Song, Liuyi,Zhang, An. Predict the Suitable Places to Run in the Urban Area of Beijing by Using the Maximum Entropy Model[J]. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,2021,10(8):18. |
| APA | Song, Liuyi,&Zhang, An.(2021).Predict the Suitable Places to Run in the Urban Area of Beijing by Using the Maximum Entropy Model.ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,10(8),18. |
| MLA | Song, Liuyi,et al."Predict the Suitable Places to Run in the Urban Area of Beijing by Using the Maximum Entropy Model".ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION 10.8(2021):18. |
入库方式： OAI收割
来源：地理科学与资源研究所
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