低碳出行导向下的城市住区形态设计研究——以广州为例  被引量:1

Research on the Form Design of Low Carbon Urban Residential Area--A Case of Guangzhou

在线阅读下载全文

作  者:冯悦[1] 李炽勇 Feng Yue;Li Chiyong(College of Art,South China Agricultural University,Guangzhou Guangdong 510610,China)

机构地区:[1]华南农业大学艺术学院,广东广州510610

出  处:《城市建筑》2021年第35期7-11,共5页Urbanism and Architecture

基  金:广州市哲学社会科学“十三五”规划青年项目(2018GZQN20)。

摘  要:碳排放已经成为影响全球气候的主要因素。低碳出行是我国低碳交通发展的关键手段之一。而住区作为城市居民大多数城市活动的起始点,在城市中拥有的面积比例最大、居民最集中,而住区形态设计的好坏直接影响居民选用低碳还是高碳的交通方式出行。因此,文章从居民出行特征及住区规划要素着手,采用POI数据测算住区内以家庭为单位的个体的移动行为,以低碳出行为切入点,从居民出行特征、住区形态要素与低碳出行的关系进行较为深入的研究,建构出住区低碳交通系统评价体系与模型,从而用设计引导居民采用低碳的出行方式出行,以期把城市建设得更加美好。Carbon emissions have become a major factor affecting global warming.Low carbon travel is one of the key means for the development of low-carbon transportation in China.As the starting point of most urban activities of urban residents,residential area has the largest proportion of area in the city,and the residents are the most concentrated.The quality of residential form design directly affects whether residents choose low-carbon or high-carbon transportation mode from the source.Therefore,the main purpose of this paper is to start from the residents’travel characteristics and residential planning elements related to low-carbon travel.This paper uses POI data to measure the movement and behavior of individuals in residential areas.Starting from low-carbon travel behavior,this paper makes a more in-depth study on the relationship between residents’travel characteristics,residential form elements and low-carbon travel.The evaluation system and model of residential low-carbon transportation system are constructed.It is hoped to use the design to guide the residents to use low-carbon travel mode in daily life,and make our city become more beautiful.

关 键 词:低碳 城市 住区 形态 出行方式 

分 类 号:TP391.9[自动化与计算机技术—计算机应用技术] TS664[自动化与计算机技术—计算机科学与技术]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象