基于轨迹大数据的城市公园绿地使用分析:来自中国一个中型城市的经验
Shuna Xu1, Shengyuan Yuan1, Jingzhong Li1
1College of Urban and Environmental Sciences, Xuchang University, 88 Bayi Road, Xuchang, Henan Province, China.
Heliyon
|February 29, 2024
概括
城市居民的公园参观受到距离的影响,周日更接近的公园更受欢迎. 周末和度假公园使用量增加,旅行距离更长,人们更倾向于更大的公园,影响城市规划.
科学领域:
- 城市规划和景观建筑,城市规划和景观建筑.
- 环境心理学环境心理学
- 地理信息系统 (GIS) 和大数据分析
背景情况:
- 公园绿地对城市居民的身体和精神健康至关重要.
- 了解公园利用是提高这些重要城市资源的关键.
- 传统的调查方法不足以进行全面的城市规模分析.
研究的目的:
- 分析中型中国城市徐城公园绿地利用模式和影响因素.
- 研究地理位置大数据在了解城市公园使用中的作用.
- 为改善城市规划和公园管理策略提供见解.
主要方法:
- 在2022年4月3日至12日期间,从城市居民那里挖掘GPS轨迹的大数据.
- 对公园参观频率,距离和影响因素的系统分析.
- 在工作日,周末和假日对公园利用率进行比较.
主要成果:
- 公园参观人数多样化;20-25%的游客使用最近的公园.
- 实际的公园参观距离值 (3633-4127米) 超过了规划标准.
- 对于经常访问者来说,距离是关键;对于非访问者来说,个人态度很重要. 周末/假期使用有利于更大的公园和更长的旅行距离.
结论:
- 距离在很大程度上影响了公园的选择,特别是对于频繁使用者来说,挑战了现有的城市规划可访问性指标.
- 公园利用率因日期类型 (工作日与假日/周末),时间和天气而异.
- 结果为优化城市绿色空间规划,管理和推广策略提供了关键数据.
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