| 摘要: |
| 随着城市人口的增加和人们健康意识的增强，近年
来城市公园的使用率呈现迅速上升趋势。手机等智能电子设备
的高速发展，使人们可以在户外运动中监测自身活动轨迹、距
离和能量消耗等。以北京奥林匹克森林公园为例，通过手机
信令、微博、百度POI等大数据与GIS技术结合，构建依托大
数据的GIS耦合模型，从游人的行为需求出发对公园的慢跑游
线、景点热度、游人空间分布等进行使用后量化评价，并针对
问题提出北京奥林匹克森林公园的景观优化策略。结果显示大
数据与GIS的结合可以为公园的景观优化提供客观且理性的整
改依据，从而更科学地指导城市公园的景观提升。 |
| 关键词: ：风景园林 大数据 GIS 空间分析 城市公园 使用后评价 景观提升 |
| DOI： |
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| 基金项目: |
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| Olympic Forest Park Landscape PromotionStrategy Research Based on the BD-GIS CouplingModel |
| LI Faming,LI Na,WANG Tingting,LI Xiangyi |
| Abstract: |
| With the increasing of urban population and the
enhancement of people's health awareness, the utilization rate of
urban parks has presented a rapidly rise in recent years. The rapid
development of smart electronic devices such as mobile phones
has made it common for people to monitor their tracks, distance
and energy consumption in outdoor activities. Taking the Olympic
Forest Park as the example, this paper builds a BD-GIS coupling
model through the combination of open big data such as mobile
phone signal, Weibo, Baidu POI and other technologies to conduct
post-use evaluation analysis on the jogging tour, the spots' attraction
and the spatial distribution of tourists in the park and propose the
landscape optimization strategy for the Olympic Forest Park based
on the relevant problems. The results show that the combination
of big data and GIS can provide objective and quantification postoccupancy
evaluation data for the parks' landscape optimization,
thus guiding the landscape improvement in urban parks more
scientifically. |
| Key words: landscape architecture big data GIS space analysis city park post-occupancy evaluation landscape promotion |
