文章编号： 1672-5328（2020）04-0038-09

李星月1，刘丰嘉1，余伟1，曾黎明2
(浙江省城乡规划设计研究院，浙江杭州310030)

摘要： 为研究新兴数据源在人群空间活动分析中的实用性，以软件开发工具包(SDK)数据为基础， 构建中观尺度下特定城市空间和特定人群的空间活动分析方法。以舟山市为例，从来源、路径、强 度和分布四个方面衡量居民和游客各自的空间活动特征，对比分析两者活动的规律性和差异性。分 析表明：居民空间活动始终集中分布在居住地附近且日变化和时变化小；游客活动则集中分布在道 路、码头和景区，整体日变化和时变化较大。SDK数据源具有更加精确的定位以及更加丰富的用户 属性信息，可以为特定人群出行时空优化和出行服务、公共设施定制化配置、应急管理对策等提供 决策依据。

关键词： 空间活动；SDK数据；分布特征；职住地；居民；游客；舟山市

中图分类号： U491.1+2

文献标识码：A

Spatial Characteristics of Travelers' Activities Based on Software Development Kit (SDK) Data

Li Xingyue1, Liu Fengjia1, YuWei1, Zeng Liming2
(1.Zhejiang Urban & Rural Planning Design Institute, Hangzhou Zhejiang 310030, China; 2.Zhejiang Merit Interactive Network Technology Co., Ltd., Hangzhou Zhejiang 310000, China)

Abstract： To explore the applicability of emerging data sources in the analysis of crowd spatial activities, a spatial activity analysis method for specific urban spaces and specific populations at the mesoscale was constructed based on Software Development Kit (SDK). Taking Zhoushan as an example, the paper analyzes the characteristics of residents' and tourists' activities in different locations respectively in four aspects: original starting point, travel path, travel intensity and spatial distribution. The regularity and difference of the two types of travelers are compared. The results show that resident activities are always near the residential area with small daily and hourly variations, while the tourist activities are concentrated on roads, docks and scenic spots with large overall daily and hourly changes. With more precise positioning and rich in information on users' attributes, SDK data can serve as the basis for temporal and spatial optimization and customized travel services of travels for specific groups, public facilities, emergency management, etc.

Keywords： spatial activities; Software Development Kit (SDK) data; distribution characteristics; residence and workplace location; residents; tourists; Zhoushan