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粤港澳大湾区格局下广佛同城交通发展的再审视——基于GIS和大数据分析视角 被引量:3

Rethink on the Development of Guangzhou-Foshan City under the Perspective of Guangdong-Hongkong-Macao Greater Bay Area: Analysis based on GIS and Big Data
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摘要 从粤港澳大湾区的视角,基于GIS平台充分利用网络开源据分析广佛同城化与大湾区城市群发展之间的影响和联系,多角度解析广佛同城交通发展现状及存在问题。研究发现:广佛面临大湾区跨海三桥建设带来的自身影响力逐步减弱的挑战和压力;广佛各区中心及其南部交界区形成通达性中心,逐步向外递减,且广佛边界北部通达性尤待提升;两市存在同城化职住高度共享,佛山居住广州工作的人群为广佛出行主体;广佛跨城公交出行约为自驾出行时长的2~3倍,跨城交通尤其是通勤为主的道路及公交设施建设对促进两市一体化发展有重大意义。 The relationship between Guangzhou-Foshan integration and development of urban agglomeration in the Guangdong-Hong Kong-Macao Greater Bay Area was analyzed from the perspective of GuangdongHong Kong-Macao Greater Bay Area based on GIS platform, using network open-source data analysis. The status and facing challenges of traffic development in Guangdong-Foshan integration were investigated from multiple perspectives. It was found that Guangzhou-Foshan integration was facing challenges and pressures from the weakening effects of the Cross-sea Bridge III three Cross-sea Bridges construction. The administrative centers of the Guangzhou and Foshan districts and their southern junctions have formed accessibility centers and decreased outward gradually. Moreover, the accessibility of the northern area of the Guangzhou-Foshan border has to be improved as soon as possible. Guangzhou and Foshan share a high degree of occupation and housing. The population who live in Foshan and work in Guangzhou are main commuters, and it takes about 2~3 times longer to take public transport than self-drive. Construction of roads and public facilities for Guangzhou-Foshan commuting is of important significance to facilitate the Guangzhou-Foshan integration.
作者 庄筠 王成芳 顾嘉欣 黄一杰 岑晓璇 ZHUANG Yun;WANG Cheng-fang;GU Jia-xin;HUANG Yi-jie;CEN Xiao-xuan
出处 《南方建筑》 2019年第6期59-66,共8页 South Architecture
基金 国家自然科学基金面上项目(51761135025):城市韧性演进——珠江三角洲区域管制、空间策略与景观格局研究 广东省自然科学基金项目(2018A030313417):地铁站点对旧城空间再开发影响机理及实证研究——以广州为例 华南理工大学2019年校级教研教改重点项目(Y1190601):面向提升学生创新能力的GIS课程教学改革与实践
关键词 粤港澳大湾区 交通一体化 广佛同城 GIS 大数据 Guangdong-Hongkong-Macao Greater Bay Area transportation integration Guangzhou-Foshan integration GIS Big data
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