城市居民日常活动与环境供需匹配特征及影响关系研究OA北大核心CSTPCD
Supply-Demand Matching Characteristics and Influencing Mechanism of Urban Residents'Daily Activities and the Environment
城市居民日常活动与环境供需关系与城市生活品质息息相关.在新旧供需矛盾交织叠加,城市治理新理念、技术迅速发展的背景下,其匹配特征及影响关系需要并可以进一步理清.借鉴时空间行为及流空间理论搭建日常活动与环境供需理论框架及指标体系,并依托地理大数据支撑,基于ANP-CV主客观赋权法、随机森林非线性回归模型等技术手段,以南京市中心城区为例进行实证分析.研究发现,日常活动与环境供需匹配关系呈现以"中心—外围"为主,"圈层递变"为辅的复合型空间结构,极化特征较显著.日常活动与环境供需相互影响作用表现为不对称、不持续的非线性特征.具体地,日常活动更受活动环境塑造,又以支撑生计和多元包容的社会环境起主要作用,同时供需之间往往不具有持续的相互促进作用.因此,应促进日常活动与环境供需双向良性互动,提高供需网络要素集聚与扩散效益,根据日常活动与环境供需演进的阶段性,灵活选择多样路径,以促进供需关系的高质量可持续发展.
The supply-demand relationship between the daily activities of urban residents and the environment is closely related to the quality of urban life.In the context of the interweaving and overlapping of old and new supply-demand contradictions,as well as the rapid development of new ideas and technologies,the complex supply-demand matching characteristics and influencing mechanisms of urban residents'daily activities and the environment need to be further clarified to provide useful reference for the optimization of urban living space quality.Using the theories of temporal-spatial behavior and space of flows,this study establishes the theoretical framework and measurement index of the supply demand relationship between daily activities and the environment.Based on the utilization of geographical big data,the ANP(Analysis Network Process)-CV(Coefficient of variation)weighting method,Random Forest regression model,and other technical means,an empirical analysis is carried out for the central urban area of Nanjing.The main conclusions are as follows:1)The supply-demand matching relationship between daily activities and the environment presents a composite spatial structure dominated by"center-periphery"relations and supplemented by"circle layer,"style with significant polarization.2)The supply-demand matching mechanism of daily activities and the environment is asymmetrical and non-sustainable.Daily activities are shaped more by the activity environment,in which the social environment plays a major role.At the same time,the trend of mutual promotion between supply and demand often does not lead to sustainable growth.3)To a certain extent,in the central urban area of Nanjing,the distribution of daily activities and environmental factors,as well as their supply and demand relationships,have issues of one-way agglomeration and disorderly spread as well as the tension and inefficiency of supply and demand matching.A livable and inclusive social environment is the primary driving force affecting the level of daily activities,and the scale and intensity of activities are the main factors driving the enhancement of the environmental quality of activities.4)The positive supply-demand interaction between daily activities and the environment should be promoted to improve the agglomeration and diffusion benefits of factors in the supply-demand network.According to the stages of the supply-demand development of the daily activities-environment system,flexible and diverse optimization paths should be selected to promote the high-quality sustainable development of supply and demand relations.Overall,this study makes certain innovations in the theoretical exploration and empirical analysis of the matching characteristics and the impact relationship between supply and demand.To match the feature recognition of supply and demand,the absolute level of supply and demand and relative benefit of supply and demand are presented simultaneously.To reveal the influence relationship,the significance,importance,and development trend of the nonlinear influence between supply and demand are thoroughly explored.Compared to related research on community life circles,this study covers the overall activity space of the city and considers different life activities and the multiscale spatial connections between life activities,which can more accurately and comprehensively reflect the panoramic living space of urban residents.
孙鸿鹄;姜玉培
苏州科技大学 建筑与城市规划学院,江苏 苏州 215011
地理科学
人居环境日常活动城市居民供需匹配影响关系地理大数据南京
human settlementsdaily activitiesurban residentsmatching relationship between supply and demandinfluencing mechanismsgeographic big dataNanjing
《热带地理》 2024 (007)
1223-1235 / 13
国家自然科学基金项目(42301206);江苏省"双创博士"计划(JSSCBS20220876)
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