兰州市中心城区便民自行车点时空格局及其特征变化
|
摘要
基于便民自行车点的空间数据以及兰州市中心城区各类服务的POI点数据,运用DBSCAN空间聚类算法、空间形态指标以及缓冲区分析法对中心城区便民自行车点的时空分布格局、空间集聚特征以及缓冲区的服务范围面积进行研究。结果表明:1) 2014-2017年,兰州市中心城区自行车集群在空间上总体呈现出"东密西疏"的分布格局; 2)不同自行车集群等级的形态特征不同,自行车在集群内的密度趋于上升,但地域集中指数趋于下降; 3)兰州市中心城区便民自行车的可获取性表现出相似性和差异性,城关区和安宁区部分便民自行车的可获取性较好,七里河区内便民自行车的可获取性较差; 4)通过结合兰州市城市总体规划,进一步优化兰州市中心城区自行车空间布局。
Based on convenient bicycle points of spatial data and services of various types of Lanzhou POI data,the space of DBSCAN clustering algorithm,spatial morphology index and buffer analysis were used to research the spatial and temporal distribution of convenience bicycle spots,the space agglomeration feature and the service scope of the buffer.The results showed that:(1)in 2014-2017,The bicycle clusters in the downtown area of Lanzhou showed a spatial distribution pattern of "Eastern dense and Western sparse"overall.(2) Different bicycle cluster grades had different morphological characteristics.The density of bicycles in the cluster tended to rise,but the regional concentration index tended to decrease.(3) The convenience bicycle accessibility in different areas of downtown of Lanzhou showed similarities and differences.In Chengguan and Anning districts convenience bicycle havd better accessibility,in Qilihe district convenience bicycle had poor accessibility.(4) Through the integration of the overall urban planning of Lanzhou City,we will further optimize the layout of bicycles in the downtown area of Lanzhou.
Based on convenient bicycle points of spatial data and services of various types of Lanzhou POI data,the space of DBSCAN clustering algorithm,spatial morphology index and buffer analysis were used to research the spatial and temporal distribution of convenience bicycle spots,the space agglomeration feature and the service scope of the buffer.The results showed that:(1)in 2014-2017,The bicycle clusters in the downtown area of Lanzhou showed a spatial distribution pattern of "Eastern dense and Western sparse"overall.(2) Different bicycle cluster grades had different morphological characteristics.The density of bicycles in the cluster tended to rise,but the regional concentration index tended to decrease.(3) The convenience bicycle accessibility in different areas of downtown of Lanzhou showed similarities and differences.In Chengguan and Anning districts convenience bicycle havd better accessibility,in Qilihe district convenience bicycle had poor accessibility.(4) Through the integration of the overall urban planning of Lanzhou City,we will further optimize the layout of bicycles in the downtown area of Lanzhou.
引文
[1]王在涛.城市公共自行车系统发展战略的若干关键问题[D].天津:天津大学博士学位论文,2014:1-122.
[2]季钰,高晓路.基于行为视角的北京城市交通空间结构[J].地理学报,2015,70(12):2001-2010.
[3]杨文越,李涛,曹小曙.广州市社区出行低碳指数格局及其影响因素的空间异质性[J].地理研究,2015,34(8):1471-1480.
[4]周扬,张冰琦,李强.公共自行车系统的研究进展与展望[J].城市与交通,2014,21(9):118-123.
[5]石晓凤,崔东旭,魏薇.杭州公共自行车系统规划建设与使用调查研究[J].城市发展研究,2011,18(10):105-114.
[6]杨嫒珺.北京市公共自行车系统运营模式研究[D].北京:北京交通大学硕士学位论文,2014:1-59.
[7]龚迪嘉,朱忠东.城市公共自行车交通系统实施机制[J].城市交通,2008,6(6):27-32.
[8]杨曌照.基于轨道交通换乘的公共自行车租赁点选址与需求研究[D].广州:华南理工大学硕士学位论文,2014:1-79.
[9]Parkes S D,Marsden G,Shaheen S A,et al. Understanding the diffusion of public bike sharing systems:Evidence from Europe and North America[J]. Journal of Transport Geography,2013,31(6):94-103.
[10]Elliot Fishman,魏贺.公共自行车近期文献综述[J].城市交通,2015,13(6):80-94.
[11]洛桑扎西,甄峰,尹秋怡.城市公共自行车使用与建成环境的关系研究-以南京市桥北片区为例[J].地理科学,2018,38(3):332-341.
[12]Basch C H,Ethan D,Rajan S,et al. Helmet use among users of the Citi Bike bicycle-sharing program:A pilot study in New York City[J].Journal of community health,2014,39(3):503-507.
[13]Shu J,Chou M C,Liu Q,et al. Models for effective deployment and redistribution of bicycles within public bicycle-sharing systems[J]. Operations Research,2013,61(6):1346-1359.
[14]刘叶,吴戈,周强.基于CNL模型的公共自行车使用模式研究[J].交通运输系统工程与信息,2018,18(1):237-244.
[15]梁凯丽,曹小曙,黄晓燕.基于知识图谱的公共自行车出行研究进展[J].地理科学进展,2017,36(6):762-773.
[16]Jensen P,Rouquier J B,Ovtracht N,et al. Characterizing the speed and paths of shared bicycle use in Lyon. Transportation Research Part D[J]. Transport and Environment,2010,15(8):522-524.
[17]朱玮,庞宇琦,王德,等.公共自行车系统影响下居民出行的变化与机制研究-以上海闵行区为例[J].城市规划学刊,2012(5):76-81.
[18]钱佳,汪德根,牛玉.城市居民使用市内公共自行车满意度影响因素分析-以苏州市为例[J].地理研究,2014,33(2):358-371.
[19]张冰琦,周杨,李强,等.城市公共自行车租赁点配车量优化模型研究[J].北京师范大学学报(自然科学版),2017,52(4):506-511.
[20]王晓玲,江辉仙,陈鑫.基于空间句法的福州市主城区公共自行车租赁点可达性分析[J].亚热带资源与环境学报,2017,12(1):89-94.
[21]刘香,袁汝华.基于DEA模型的城市公共自行车运行效率评价[J].武汉理工大学学报(交通科学与工程版),2016,40(6):1054-1057.
[22]周杨,张冰琦,李强,等.基于DEA模型的公共自行车系统效率评价[J].北京师范大学学报(自然科学版),2017,53(3):351-357.
[23]杨帆,徐建刚,周亮.基于DBSCAN空间聚类的广州市区餐饮集群识别及空间特征分析[J].经济地理,2017,36(10):110-116.
[24]张昱,刘学敏,张红.中国城市公共自行车系统:现状、问题和对策[J].中国发展,2013,13(5):74-79.
[25]李新延,李德仁. DBSCAN空间聚类算法及其在城市规划中的应用[J].测绘科学,2005,30(3):51-54.
[26]Yu B,Shu S,Liu H,et al. Object-based spatial cluster analysis of urban landscape pattern using nighttime light satellite images:a case study of China[J]. International Journal of Geo-graphical Information Science,2014,28(11):2328-2355.
[27]李华.上海城市生态游憩空间格局及其优化研究[J].经济地理,2014,34(1):174-180.
[2]季钰,高晓路.基于行为视角的北京城市交通空间结构[J].地理学报,2015,70(12):2001-2010.
[3]杨文越,李涛,曹小曙.广州市社区出行低碳指数格局及其影响因素的空间异质性[J].地理研究,2015,34(8):1471-1480.
[4]周扬,张冰琦,李强.公共自行车系统的研究进展与展望[J].城市与交通,2014,21(9):118-123.
[5]石晓凤,崔东旭,魏薇.杭州公共自行车系统规划建设与使用调查研究[J].城市发展研究,2011,18(10):105-114.
[6]杨嫒珺.北京市公共自行车系统运营模式研究[D].北京:北京交通大学硕士学位论文,2014:1-59.
[7]龚迪嘉,朱忠东.城市公共自行车交通系统实施机制[J].城市交通,2008,6(6):27-32.
[8]杨曌照.基于轨道交通换乘的公共自行车租赁点选址与需求研究[D].广州:华南理工大学硕士学位论文,2014:1-79.
[9]Parkes S D,Marsden G,Shaheen S A,et al. Understanding the diffusion of public bike sharing systems:Evidence from Europe and North America[J]. Journal of Transport Geography,2013,31(6):94-103.
[10]Elliot Fishman,魏贺.公共自行车近期文献综述[J].城市交通,2015,13(6):80-94.
[11]洛桑扎西,甄峰,尹秋怡.城市公共自行车使用与建成环境的关系研究-以南京市桥北片区为例[J].地理科学,2018,38(3):332-341.
[12]Basch C H,Ethan D,Rajan S,et al. Helmet use among users of the Citi Bike bicycle-sharing program:A pilot study in New York City[J].Journal of community health,2014,39(3):503-507.
[13]Shu J,Chou M C,Liu Q,et al. Models for effective deployment and redistribution of bicycles within public bicycle-sharing systems[J]. Operations Research,2013,61(6):1346-1359.
[14]刘叶,吴戈,周强.基于CNL模型的公共自行车使用模式研究[J].交通运输系统工程与信息,2018,18(1):237-244.
[15]梁凯丽,曹小曙,黄晓燕.基于知识图谱的公共自行车出行研究进展[J].地理科学进展,2017,36(6):762-773.
[16]Jensen P,Rouquier J B,Ovtracht N,et al. Characterizing the speed and paths of shared bicycle use in Lyon. Transportation Research Part D[J]. Transport and Environment,2010,15(8):522-524.
[17]朱玮,庞宇琦,王德,等.公共自行车系统影响下居民出行的变化与机制研究-以上海闵行区为例[J].城市规划学刊,2012(5):76-81.
[18]钱佳,汪德根,牛玉.城市居民使用市内公共自行车满意度影响因素分析-以苏州市为例[J].地理研究,2014,33(2):358-371.
[19]张冰琦,周杨,李强,等.城市公共自行车租赁点配车量优化模型研究[J].北京师范大学学报(自然科学版),2017,52(4):506-511.
[20]王晓玲,江辉仙,陈鑫.基于空间句法的福州市主城区公共自行车租赁点可达性分析[J].亚热带资源与环境学报,2017,12(1):89-94.
[21]刘香,袁汝华.基于DEA模型的城市公共自行车运行效率评价[J].武汉理工大学学报(交通科学与工程版),2016,40(6):1054-1057.
[22]周杨,张冰琦,李强,等.基于DEA模型的公共自行车系统效率评价[J].北京师范大学学报(自然科学版),2017,53(3):351-357.
[23]杨帆,徐建刚,周亮.基于DBSCAN空间聚类的广州市区餐饮集群识别及空间特征分析[J].经济地理,2017,36(10):110-116.
[24]张昱,刘学敏,张红.中国城市公共自行车系统:现状、问题和对策[J].中国发展,2013,13(5):74-79.
[25]李新延,李德仁. DBSCAN空间聚类算法及其在城市规划中的应用[J].测绘科学,2005,30(3):51-54.
[26]Yu B,Shu S,Liu H,et al. Object-based spatial cluster analysis of urban landscape pattern using nighttime light satellite images:a case study of China[J]. International Journal of Geo-graphical Information Science,2014,28(11):2328-2355.
[27]李华.上海城市生态游憩空间格局及其优化研究[J].经济地理,2014,34(1):174-180.