城市老年人的日常活动特征及其感知评价的影响 因素*——以上海中心城社区为例
Research on Features of Daily Activities of Urban Elderly and Influence Factors of Their Perception Evaluation: A Case Study of Communities in Central Area of Shanghai
黄 怡
同济大学建筑与城市规划学院 教授，博士生导师
朱晓宇
同济大学建筑与城市规划学院 硕士研究生
摘要: 我国人口老龄化呈总量扩张与增量提速态势，探索老年人的日常活动特征及其感知评价的影响因素，可为社区公共空间
优化提供实证依据，对于营建适老化社区有着重要的理论与现实意义。选取上海中心城区若干典型社区案例，定性与定量
方法结合，通过多元回归模型，分析老年人日常活动特征及其感知评价的影响因素。同时着重于一个社区，探索采用个体
GPS定位技术和活动日志的新方法，深入探讨老年人的日常活动及其感知评价与社区公共空间的关系。
Abstract: With the tendency of expanding and accelerating population aging in China, it is of great theoretical and practical significance
to explore the characteristics of the elderly’s daily activities and the influence factors of their perception and evaluation for the
construction of the aging community. This research project selects a number of typical community cases in central Shanghai,
combining qualitative and quantitative methods, through multiple regression model, analyzing the characteristics of the elderly’s
daily activities and the influence factors of their perceived evaluation. Taking one community as an example, using individual GPS
location and activity logs, the research studies quantitatively the relationship between the elderly’s daily activities and their perception
evaluation and community public space. The research not only provides an empirical basis for the optimization of community public
space, but also simultaneously introduces a technical method based on GPS technology in the study of features of urban elderly’s
daily life and their perception evaluations.
关键词：日常活动特征、感知评价、社区公共空间、时空行为、 GPS技术
Keyword: Features of daily activities， Perception evaluation， Community public space，Spatio-temporal behavior，GPS technology
中图分类号：TU981
文献标识码: A
资金资助
国家重点研发计划资助项目 “既有城市住区功能提升与改造技术” 2018YFC0704800
[1]张纯，吕斌，郑童. 转型期内城传统街坊社区的城
市形态演变——基于北京市内城三个社区的案
例研究[J]. 城市规划，2015（10）：24-30.
ZHANG Chun, LYU Bin, ZHENG Tong. Urban
form evolvement of the inner city neighborhood
during transitional period: a case study of three
neighborhoods in Beijing[J]. City Planning Review,
2015 (10): 24-30.
[2]周洁，柴彦威. 中国老年人空间行为研究进展[J].
地理科学进展，2013，32（5）：722-732.
ZHOU Jie, CHAI Yanwei. Research progress on
spatial behaviors of the elderly in China[J]. Progress
in Geography, 2013, 32 (5): 722-732.
[3]董仁，李琳，韩汶，等. 城市老年人出行行为特征研
究——以昆明市为例[J]. 现代城市研究，2016（1）：
102-108.
DONG Ren, LI Lin, HAN Wen, et al. Study on the
travel behavior characteristics of the urban elderly in
Kunming[J]. Modern Urban Research, 2016 (1): 102-
108.
[4]黄建中，吴萌，肖扬. 老年人日出行行为的影响机
制研究——以上海市中心城区为例[J]. 上海城市
规划，2016（1）：72-76.
HUANG Jianzhong, WU Meng, XIAO Yang. The
mechanism of the elderly's daily travel behavior:
evidence from Shanghai central city[J]. Shanghai
Urban Planning Review, 2016 (1): 72-76.
[5]童晓君，向南平，朱定局. 基于出租车GPS数据的
城市居民出行行为分析[J]. 电脑与电信，2012（1）：
56-59.
TONG Xiaojun, XIANG Nanping, ZHU Dingju.
The analysis of city dweller's travel choice behavior
based on taxi GPS trajectory data[J]. Computer &
Telecommunication, 2012 (1): 56-59.
[6]申悦，柴彦威. 基于GPS数据的北京市郊区巨型社
区居民日常活动空间[J]. 地理学报，2013（4）：
506-516.
SHEN Yue, CHAI Yanwei. Daily activity space of
suburban mega-community residents in Beijing based
on GPS data[J]. Acta Geographica Sinica, 2013 (4):
506-516.
[7]VINE D, BUYS L, AIRD R. The use of amenities
in high density neighbourhoods by older urban
Australian residents[J]. Landscape and Urban
Planning, 2012 (107): 159-171.
[8]仇志伟，周典，徐怡珊，等. 基于GPS数据分析的城
市社区老年人日常生活领域调查方法研究[J]. 建
筑学报，2017（s1）：59-62.
QIU Zhiwei, ZHOU Dian, XU Yishan, et al. Research
on the investigation methods of the elderly daily life
in urban community based on GPS data analysis[J].
Architectural Journal, 2017 (s1): 59-62.
[9]LOEBACH J E, GILLILAND J A. Free range kids?
Using GPS-derived activity spaces to examine
children's neighborhood activity and mobility[J].
Environment and Behavior, 2016, 48 (3): 421-453.
[10]孙道胜，柴彦威. 城市社区生活圈体系及公共服务
设施空间优化——以北京市清河街道为例[J]. 城
市发展研究，2017（9）：7-14.
SUN Daosheng, CHAI Yanwei. Study on the urban
community life sphere system and the optimization of
public service facilities: a case study of Qinghe Area
in Beijing[J]. Urban Development Studies, 2017 (9):
7-14.
