基于共享单车大数据的城市型自行车绿道选线规划途径研究
|
摘要
城市型自行车绿道对于鼓励居民慢行出行,缓解城市交通拥堵具有非常重要的价值。从共享单车社会行为大数据和绿地空间利用潜力分析两方面内容入手,构建了一个基于实际使用需求和城区可建设空间的城市型自行车绿道选线规划途径,并以北京海淀区为例开展实证探索。选线规划途径主要包括:利用共享单车起点—终点数据,并运用熵值法建立评价指标体系进行绿地节点利用潜力分析,确定关键连接节点;通过共享单车轨迹数据得到自行车使用的道路热度,提取现状线性绿地廊道,生成自行车绿道连接的土地适宜性成本栅格;利用连接节点和成本栅格计算最低成本路径,划定绿道选线。该选线途径将随着城市大数据的进一步丰富和准确而得到完善,具有很好的未来应用前景。
Urban bicycle greenways are of great value in encouraging residents to travel non-motor vehicles and alleviate urban traffic congestion. Based on the analysis of shared bicycle social behavior big data and green space utilization potential, this paper constructs an urban bicycle greenway route selection method based on actual use demand and urban constructable space, and conducts empirical exploration with Beijing Haidian District. The route selection planning method mainly includes: using the shared bicycle OD data, and using the entropy method to establish an evaluation index system to analyze the utilization potential of the green space node to determine the key connection nodes; by sharing the bicycle track data to get the heat degree of the shared bicycle using road, and the linear green space distribution is extracted by remote sensing visual interpretation to obtain the potential of the greenway corridor based on the greenway connection; the lowest cost path is calculated by using the connection nodes and the cost grid, and the greenway selection line is delineated. The route selection method will be improved with the further enrichment and accuracy of urban big data, and has a good future application prospect.
Urban bicycle greenways are of great value in encouraging residents to travel non-motor vehicles and alleviate urban traffic congestion. Based on the analysis of shared bicycle social behavior big data and green space utilization potential, this paper constructs an urban bicycle greenway route selection method based on actual use demand and urban constructable space, and conducts empirical exploration with Beijing Haidian District. The route selection planning method mainly includes: using the shared bicycle OD data, and using the entropy method to establish an evaluation index system to analyze the utilization potential of the green space node to determine the key connection nodes; by sharing the bicycle track data to get the heat degree of the shared bicycle using road, and the linear green space distribution is extracted by remote sensing visual interpretation to obtain the potential of the greenway corridor based on the greenway connection; the lowest cost path is calculated by using the connection nodes and the cost grid, and the greenway selection line is delineated. The route selection method will be improved with the further enrichment and accuracy of urban big data, and has a good future application prospect.
引文
[1] Fabos J G. Introduction and Overview:The Greenway Movement, Uses and Potentials of Greenways[J]. Landscape and Urban Planning,1995, 33:1-13.
[2]石成球.关于我国城市土地利用问题的思考[J].城市规划,2000,24(2):11-15.
[3]许慧,肖大威.绿道在优化城市空间中的应用[J].中国园林,2014,30(6):55-58.
[4]桑劲,柳朴.基于绿道空间特质分析的绿道网规划实施机制[J].中国园林,2016,24(9):108-112.
[5]杰克·艾亨,周啸.论绿道规划原理与方法[J].风景园林,2011,18(5):104-107.
[6]秦小萍,魏民.中国绿道与美国Greenway的比较研究[J].中国园林,2013,29(4):119-124.
[7]王招林,何昉.试论与城市互动的城市绿道规划[J].城市规划,2012,36(10):34-39.
[8]赖寿华,朱江.社区绿道:紧凑城市绿道建设新趋势[J].风景园林,2012,19(3):77-82.
[9]周聪惠.基于选线潜力定量评价的中心城绿道布局方法[J].中国园林,2016,32(10):104-109.
[10]夏兵,何昉,锁秀.广东绿道多功能开发探索[J].风景园林,2012,19(3):87-90.
[11]孙帅.都市型绿道规划设计研究[D].北京:北京林业大学,2013.
[12] Miller W,Collins MG,Steiner F R,et al. An approach for greenway suitability analysis[J].Landscape and Urban Planning, 1998, 42:91-105.
[13] Yu K J,Li W,Li D H,et al. Suitability analysis of heritage corridor in rapidly urbanizing region:a case study of Taizhou City[J]. Geographic Research, 2005, 24(1):69-75.
[14]严军,王雪童,戴康龙.基于GIS的紫金山风景区绿道选线适宜性研究[J].林业科技开发,2015,29(5):152-156.
[15]张春英,林从华,林晓枝,等.福州市绿地景观的绿道功能分析[J].福建建筑,2009(2):6-7.
[16]张笑笑.城市游憩型绿道的选线研究:以上海为例[D].上海:同济大学,2008.
[17]李方正,李婉仪,李雄.基于公交刷卡大数据分析的城市绿道规划研究:以北京市为例[J].城市发展研究,2015,22(8):27-32.
[18]戴冰武,曾丽婷,韩西丽.基于生态安全格局的风景区游览线路最低成本路径选线:以湖南省平江县福桶山景区为例[J].现代城市研究,2015(1):97-103.
[19]陈永贵,陈英存,杨润,等.GIS技术支持下森林公园道路选线的辅助设计[J].西北林学院学报,2008(4):184-188.
[20]龙瀛,茅明睿,毛其智,等.大数据时代的精细化城市模拟:方法、数据和案例[J].人文地理,2014,29(3):7-13.
[21]甄峰,刘晓霞,刘慧.信息技术影响下的区域城市网络:城市研究的新方向[J].人文地理,2007,22(2):76-80.
[22]龙瀛,张宇,崔承印.利用公交刷卡数据分析北京职住关系和通勤出行[J].地理学报,2012,67(10):1339-1352.
[23] 2017年共享单车与城市发展白皮书[R].北京:清华同衡,摩拜单车,2017.
[24] 2016中国共享单车市场研究报告[R].北京:比达咨询,2016.
[25] Little C E. Greenways for America[M].Washington, D.C.:Johns Hopkins University Press, 1995.
[26]李艳红,袁振洲,谢海红,等.基于出租车OD数据的出租车出行特征分析[J].交通运输系统工程与信息,2007,7(5):85-89.
[27]龚明昊,欧阳志云,宋延龄.基于野生动物栖息地成本和GIS技术的道路选线研究:以大熊猫栖息地内四川306省道椅子娅口段为例[J].生态学报,2014(9):284-291.
[28]马艳梅,吴玉鸣,吴柏钧.长三角地区城镇化可持续发展综合评价:基于熵值法和象限图法[J].经济地理,2015,35(6):47-53.
[29]王富喜,毛爱华,李赫龙,等.基于熵值法的山东省城镇化质量测度及空间差异分析[J].地理科学,2013,33(11):1323-1329.
[30]曹庭进,张中源,高孝杰,等.基于车载定位轨迹数据的道路快速更新系统设计与实现[J].软件导刊,2017,16(8):107-109.
[2]石成球.关于我国城市土地利用问题的思考[J].城市规划,2000,24(2):11-15.
[3]许慧,肖大威.绿道在优化城市空间中的应用[J].中国园林,2014,30(6):55-58.
[4]桑劲,柳朴.基于绿道空间特质分析的绿道网规划实施机制[J].中国园林,2016,24(9):108-112.
[5]杰克·艾亨,周啸.论绿道规划原理与方法[J].风景园林,2011,18(5):104-107.
[6]秦小萍,魏民.中国绿道与美国Greenway的比较研究[J].中国园林,2013,29(4):119-124.
[7]王招林,何昉.试论与城市互动的城市绿道规划[J].城市规划,2012,36(10):34-39.
[8]赖寿华,朱江.社区绿道:紧凑城市绿道建设新趋势[J].风景园林,2012,19(3):77-82.
[9]周聪惠.基于选线潜力定量评价的中心城绿道布局方法[J].中国园林,2016,32(10):104-109.
[10]夏兵,何昉,锁秀.广东绿道多功能开发探索[J].风景园林,2012,19(3):87-90.
[11]孙帅.都市型绿道规划设计研究[D].北京:北京林业大学,2013.
[12] Miller W,Collins MG,Steiner F R,et al. An approach for greenway suitability analysis[J].Landscape and Urban Planning, 1998, 42:91-105.
[13] Yu K J,Li W,Li D H,et al. Suitability analysis of heritage corridor in rapidly urbanizing region:a case study of Taizhou City[J]. Geographic Research, 2005, 24(1):69-75.
[14]严军,王雪童,戴康龙.基于GIS的紫金山风景区绿道选线适宜性研究[J].林业科技开发,2015,29(5):152-156.
[15]张春英,林从华,林晓枝,等.福州市绿地景观的绿道功能分析[J].福建建筑,2009(2):6-7.
[16]张笑笑.城市游憩型绿道的选线研究:以上海为例[D].上海:同济大学,2008.
[17]李方正,李婉仪,李雄.基于公交刷卡大数据分析的城市绿道规划研究:以北京市为例[J].城市发展研究,2015,22(8):27-32.
[18]戴冰武,曾丽婷,韩西丽.基于生态安全格局的风景区游览线路最低成本路径选线:以湖南省平江县福桶山景区为例[J].现代城市研究,2015(1):97-103.
[19]陈永贵,陈英存,杨润,等.GIS技术支持下森林公园道路选线的辅助设计[J].西北林学院学报,2008(4):184-188.
[20]龙瀛,茅明睿,毛其智,等.大数据时代的精细化城市模拟:方法、数据和案例[J].人文地理,2014,29(3):7-13.
[21]甄峰,刘晓霞,刘慧.信息技术影响下的区域城市网络:城市研究的新方向[J].人文地理,2007,22(2):76-80.
[22]龙瀛,张宇,崔承印.利用公交刷卡数据分析北京职住关系和通勤出行[J].地理学报,2012,67(10):1339-1352.
[23] 2017年共享单车与城市发展白皮书[R].北京:清华同衡,摩拜单车,2017.
[24] 2016中国共享单车市场研究报告[R].北京:比达咨询,2016.
[25] Little C E. Greenways for America[M].Washington, D.C.:Johns Hopkins University Press, 1995.
[26]李艳红,袁振洲,谢海红,等.基于出租车OD数据的出租车出行特征分析[J].交通运输系统工程与信息,2007,7(5):85-89.
[27]龚明昊,欧阳志云,宋延龄.基于野生动物栖息地成本和GIS技术的道路选线研究:以大熊猫栖息地内四川306省道椅子娅口段为例[J].生态学报,2014(9):284-291.
[28]马艳梅,吴玉鸣,吴柏钧.长三角地区城镇化可持续发展综合评价:基于熵值法和象限图法[J].经济地理,2015,35(6):47-53.
[29]王富喜,毛爱华,李赫龙,等.基于熵值法的山东省城镇化质量测度及空间差异分析[J].地理科学,2013,33(11):1323-1329.
[30]曹庭进,张中源,高孝杰,等.基于车载定位轨迹数据的道路快速更新系统设计与实现[J].软件导刊,2017,16(8):107-109.
© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号 地址：北京市海淀区学院路29号 邮编：100083 电话：办公室：(+86 10)66554848；文献借阅、咨询服务、科技查新：66554700 |