| 摘要: |
| 随着黄浦江两岸滨水区从生产空间转
向生活空间，市民前往滨水区进行游憩活动的
意愿愈发强烈。为了助力黄浦江两岸新一轮更
新，研究以沿岸17个垂直河流的典型街道及其
两侧街区为样本，对慢行流量进行调研，基于
ArcGIS平台构建GWR模型，分析各因子在不
同时空下对滨水区慢行活力的影响。慢行活力
特征方面，在空间层面，慢行活力从城市腹地到
水滨逐渐减弱，但慢行活动的趋水特征依然明
显；在时间层面，工作日的通勤时段和休息日的
下午时段慢行活力较高，且夜间活力一直处于较
低水平。影响因子效用方面，介数中心性、慢行
基础设施、街区建设强度等呈现出较大的空间
异质性；而介数中心性、功能混合度等呈现出较
大的时间异质性。基于量化结果和经验预判的
差异，研究有针对性地从街道网络梳理、慢行空
间布局、相关功能配置、公共交通设置四个方面
提出滨水区的开发导向。 |
| 关键词: 慢行活力 滨水区 影响因子 地理加权回归 建成环境 |
| DOI：10.13791/j.cnki.hsfwest.20220308 |
| 分类号: |
| 基金项目: |
|
| Study on Slow-Traffic Vitality Impact Factors of Urban Waterfront Based on GWR Model:Taking Typical Waterfront Blocks Along Huangpu River as Examples |
|
YANG Chunxia,LYU Chengzhe
|
| Abstract: |
| With the development of the waterfront revival movement and the advocacy of slow
traffic around the world, the renewal and construction of urban waterfronts has received more
and more attention. Taking Shanghai as an example, the waterfront along the Huangpu River
is undergoing a transformation from a shipping-led productive space to a people-oriented
living space. Under the leadership of the municipal government, the connection project of
45-kilometer waterfront along the Huangpu River was successfully completed at the end of
2017, providing a high-quality continuous slow-traffic space parallel to the Huangpu River for
citizens’ leisure activities. However, in the direction perpendicular to the river, there are still
various construction problems in the waterfront along the Huangpu River, resulting in low
quality of the slow-traffic environment, which is not conducive to the public walking to the
waterfront.
At this historical juncture, how to make use of new data and new methods to help the new
round of update on both sides of the Huangpu River in a more precise way, so as to guide more
people to the waterfront and improve the vitality of the waterfront has become an important
issue to be considered next.
Taking the waterfront along the Huangpu River as an example, this paper constructed
a geographically weighted regression model based on the analysis of impact factors and the
investigation of slow-traffic flow, and analyzed the impact of impact factors on the slow-
traffic vitality of the waterfront in different time and space, providing references for the fine
development and renewal of the Waterfront along the Huangpu River. First of all, 17 typical
streets which are perpendicular to the river and blocks on their both sides were selected as
research samples based on five principles, including the status quo of built environment of
waterfront, internal function and accessibility of waterfront public space. At the same time,
based on the two principles of “whether it affects slow-traffic activity” and “whether it
can be quantified”, this paper sorted out the built environment impact factors, a total of 10
indicators, involving three levels of road, block and building. This paper used open source
data and site survey to obtain the initial data of built environment and slow-traffic flow, and
then used statistics, space syntax, Shannon index and other methods to process the datato obtain the impact factor indicators, and finally standardized the indicators by SPSS. Based on the above data processing, a geographically
weighted regression model (GWR) which reflected the geographical location relationship between samples was constructed on the ArcGIS
platform to help analyze the effects of each impact factor on the slow-traffic activities of waterfront in different time periods and different
distances from water. Finally, based on the temporal and spatial heterogeneity of the utility of each impact factor in the regression analysis
results, some suggestions were put forward for optimizing the slow-traffic environment in waterfront along the Huangpu River.
A total of 12 regression analyses were performed based on the GWR model, including 1 total analysis on weekday and 1 total analysis on
weekend, and 5 timeslot analysis on weekday and 5 timeslot analysis on weekend. In terms of the characteristics of slow-traffic vitality, the
slow-traffic vitality gradually weakened from the urban hinterland to the waterfront, but the waterfront-oriented characteristics of slow-traffic
activity was still obvious. The vitality of slow-traffic was higher in commuting time on weekdays and afternoon time on weekends, while
the slow-traffic vitality of night was always at a low level. In terms of the effect of impact factors, betweenness, slow-traffic infrastructure,
development intensity and historical buildings have strong positive promotion effect on slow-traffic vitality. The effect of betweenness, slow-
traffic infrastructure and development intensity show a large spatial heterogeneity, and the closer the distance to the Huangpu River, the
stronger the positive promotion effect. The effect of betweenness, slow-traffic infrastructure and mixed-use degree show a large temporal
heterogeneity, among which the temporal heterogeneity of the effect of the former two is mainly reflected in that different timeslot of the
workday show significantly different influence intensities, while the temporal heterogeneity of the effect of the latter one is mainly reflected in
the opposite influences on workday and weekend.
Based on the regression analysis results and the temporal and spatial heterogeneity shown by some impact factors, the renewal suggestions of
the waterfront along the Huangpu River were put forward at the end of the paper from the following four aspects: street network sorting, slow-traffic
space layout, function configuration, and public transportation settings. |
| Key words: Slow-Traffic Vitality Waterfront Impact Factors Geographically Weighted Regression Built Environment |
