新一轮输配电价监管周期下的电网投资规模预测——基于优化的支持向量机模型

探索从微观个体的角度揭示居民对城市公园的使用 行为特征及其时空影响因素。选取上海中环线内130个城市公 园为研究对象，基于高德地图API、高德位智等互联网平台的 开放数据，获取公园使用情况的时空特征及描述公园环境属性 的因子，运用计量方法考察了影响公园使用量的因素。结果显 示：不同类型的公园在使用时间特征上存在明显的差异；公园 面积、公园内餐饮设施、公园步行可达性、公园距市中心和最 近地铁站距离对公园使用活跃度具有显著影响。

The Temporal-spatial Characteristics of Usage Activeness of Urban Parks in Shanghai Based on Open Data

The article aims to reveal users'' behavior in urban parks and its relevant factors from individual level data. Taking 130 urban parks within the central loop of Shanghai and using open data from the Internet such as Gaode Map API, and Gaode Location service, this paper investigates the temporal and spatial characters of the usage of these parks and its relationship with their environmental attributes such as accessibility, size, distribution of service facility and so on. It finds out that size of the park, number of dining facilities, walking accessibility, distance from city center and nearest metro station have significant influences on the usage activeness of the parks.