STUDY ON THE INFLUENCE OF TRAFFIC NETWORK CENTRALITY ON LAND USE INTENSITY: A CASE STUDY OF QINGDAO
ZHANG Xue-jie1,2, WANG Cheng-xin1,2, WANG Bo-yang1,2, CHEN Yan-bin1,2
1. School of Geography and Environment, Shandong Normal University, Jinan 250014, China;
2. Shandong University Human Land Coordination and Green Development Collaborative Innovation Center, Jinan 266104, China
Abstract In order to optimize the layout of urban construction and improve the efficiency of urban land use, this paper studies the relationship between traffic and urban land use. Based on the vector data and POI data of Qingdao traffic network, this paper analyzes the correlation between traffic network and land use intensity in the central urban area of Qingdao from the perspective of centrality by using kernel density estimation method, geographically weighted regression model and multi-center evaluation model. The study found that the proximity centrality structure and linear centrality structure of the traffic road network in the central urban area of Qingdao showed a "center-periphery" model, and the intermediary centrality had a significant point-axis model; the layout of commercial, public services and residential land all showed a multi-center structure; the centrality of traffic road network had a strong correlation with land use intensity; the correlation between commercial land and public service land and traffic road network centrality was higher than that of residential land. The research innovatively revealed the spatial heterogeneity between traffic network and land use intensity from the micro-scale, and discovered the difference in the impact of different regions from a local perspective.
ZHANG Xue-jie,WANG Cheng-xin,WANG Bo-yang等. STUDY ON THE INFLUENCE OF TRAFFIC NETWORK CENTRALITY ON LAND USE INTENSITY: A CASE STUDY OF QINGDAO[J]. HUMAN GEOGRAPHY, 2022, 37(6): 161-170.
国际现代建筑学会,清华大学营建学系.雅典宪章[J].城市发展研究,2007(5):123-126. [International Society of Modern Architecture, Department of Construction, Tsinghua University. Athens Charter [J]. Urban Development Studies, 2007(5):123-126.]
[2]
Ding R, Ujang N, Hamid H B, et al. Application of complex networks theory in urban traffic network researches[J]. Networks and Spatial Economics, 2019,19(4):1281-1317.
[3]
Ding R, Yin J, Dai P, et al. Optimal topology of multilayer urban traffic networks[J]. Complexity, 2019:1-19.
[4]
Ding R, Ujang N, Hamid H B, et al. Detecting the urban traffic network structure dynamics through the growth and analysis of multilayer networks[J]. Physica A: Statistical Mechanics and its Applications, 2018,503:800-817.
[5]
Wang P. Traffic network optimization in adjacent areas of chengdu's comprehensive transportation hubs[J]. Collaborative and Social Computing, 2019,1(1):1-5.
[6]
Chang X, Li H, Rong J, et al. Determining the appropriate lane width at urban signalised intersections: A case study in Beijing[J]. IET Intelligent Transport Systems, 2019,13(12):1785-1791.
[7]
Ding R, Ujang N, Hamid H, et al. Detecting the urban traffic network structure dynamics through the growth and analysis of multilayer networks[J]. Physica A: Statistical Mechanics and its Applications, 2018,503:800-817.
[8]
陶伟,古恒宇,陈昊楠.路网形态对城市酒店业空间布局的影响研究： 广州案例[J].旅游学刊,2015,30(10):99-108. [Tao Wei, Gu Hengyu, Chen Haonan. Research on the influence of road network form on the spatial layout of urban hotel industry: Guangzhou case [J]. Tourism Journal, 2015,30(10):99-108.]
[9]
黄天宇,谭爱华. 城市发展交通先行——中新广州知识城至中心城区快速通道建设的意义及难点思考[J].中国勘察设计,2020(11): 96-100. [Huang Tianyu, Tan Aihua. The significance and difficulties of the construction of the expressway from the knowledge city of Guangzhou to the central city in China[J]. China Survey and Design, 2020(11):96-100.]
[10]
张宸铭,高建华,黎世民,等.基于路网可达性的城市空间形态集聚分 形研 究[J]. 地理 研究 , 2018, 37(12): 2528-2540. [Zhang Chenming, Gao Jianhua, Li Shimin, et al. Fractal research on urban spatial morphology agglomeration based on road network accessibility [J]. Geographical Research, 2018,37(12):2528-2540.]
[11]
张志斌,陈龙,张亚丽,等.兰州市轨道交通对城市时空格局影响初探[J]. 西北民族大学学报(自然科学版),2019,40(2):66-74. [Zhang Zhibin, Chen Long, Zhang Yali, et al. The impact of rail transit on urban spatial and temporal pattern in Lanzhou[J]. Journal of Northwest University for Nationalities (Natural Science Edition), 2019, 40(2):66-74.]
[12]
赵雪娟.基于MFD和MPC的城市交通路网区域协调控制算法研究[D]. 北京:北京交通大学,2019:44-57. [Zhao Xuejuan. Research On Regional Coordination Control Algorithm of Urban Traffic Network Based on MFD and MPC[D]. Beijing: Beijing Jiaotong University, 2019:44-57.]
[13]
翟炜. 城市总体规划中功能区与交通网匹配研究[D]. 北京:清华大学,2017:1-116.. [Zhai Wei. Research on the Matching of Functional Areas and Transportation Networks in Urban Master Planning [D]. Beijing: Qinghua University, 2017:1-116..]
[14]
胡立伟,赵雪亭,杨锦青,等.基于双层规划的城市交通拥塞疏导优化研究[J]. 交通运输系统工程与信息,2021,21(5):222-227,234. [Hu Liwei, Zhao Xueting, Yang Jinqing, et al. Urban traffic congestion grooming optimization based on bi-level programming[J]. Transportation system engineering and information, 2021,21(5):222- 227,234.]
[15]
Dehaghani K R, Naderan A, Rahimov K. A New method to calculate the robust index of urban traffic network[J]. Journal of Social Science and Humanities, 2020,2(3):1-9.
[16]
Dimitriou L, Stathopoulos A. Capturing system-wide magnitude of earthquakes' effects on urban traffic networks[J]. IFAC PapersOnLine, 2016,49(3):243-248.
[17]
Jia K K, Xue Y, Cheng J, et al. The influence of different types of community on the urban traffic network[J]. International Journal of Education and Management, 2016,1(3):66-68.
[18]
苏凯强.出租车轨迹时空特征及与街道网络中心性相关分析[D]. 开封:河南大学,2020:56-74. [Su Kaiqiang. Spatial and temporal Characteristics of Taxi Trajectory and Its Correlation with Street Network Centrality[D]. Kaifeng: Henan University, 2020:56-74.]
[19]
杨君,何欢,胡巧莲,等.基于路网密度的城市功能用地空间分布相关性研究——以益阳市中心城区为例[J].经济地理,2018,38(12): 97-103. [Yang Jun, He Huan, Hu Qiaolian, et al. Research on the spatial distribution correlation of urban functional land based on road network density-Taking the central urban area of Yiyang City as an example[J]. Economic Geography, 2018,38(12):97-103.]
[20]
刘尔辉,陈海伟,曾莉莉,等.宜居城市理念下地铁站点综合体交通规划[J]. 交通与运输,2021,37(5):81-86. [Liu Erhui, Chen Haiwei, Zeng Lili, et al. Traffic planning of subway station complex under the concept of livable city[J]. Transportation and Transportation, 2021,37(5):81-86.]
[21]
冯红霞. 山地城市交通与地形及土地利用协调方法研究[D]. 西安:长安大学,2014:130-173.. [Feng Hongxia. Research on the Coordination Method of Mountainous Urban Traffic, Topography and Land Use[D]. Xi'an: Chang'an University, 2014:130-173.]
[22]
孙芳.基于海绵城市的城市道路系统化设计研究[D]. 西安:西安建筑科技大学,2015:27-34.. [Sun Fang. Research on Urban Road Systematic Design Based on Sponge City[D]. Xi'an: Xi'an University of Architecture and Technology, 2015:27-34.]
[23]
申凤“ . 密路网， 小街区” 规划模式在昆明呈贡新区核心区的适用性研究[D]. 昆明: 昆明理工大学,2014:105-169. [Shen Feng. Study on the Applicability of' Mi Road Network, Small Block' Planning Model in the Core Area of Chenggong New District, Kunming[D]. Kunming: Kunming University of Technology, 2014:105-169.]
[24]
杨鹏飞,谢浩东.基于城市空间特征下的长沙交通路网模式优化[J]. 华中建筑,2018,36(4):102-105. [Yang Pengfei, Xie Haodong. Changsha traffic network model optimization based on urban spatial characteristics[J]. Huazhong Building, 2018,36(4):102-105.]
[25]
查凯丽,彭明军,刘艳芳,等.武汉城市圈路网通达性与经济联系时空演变及关联分析[J]. 经济地理,2017,37(12):74-81,210. [Cha Kaili, Peng Mingjun, Liu Yanfang, et al. Spatial-temporal evolution and correlation analysis of road network accessibility and economic linkage in Wuhan metropolitan area[J]. Economic Geography, 2017, 37(12):74-81,210.]
[26]
龙飞,戴学锋,虞虎.基于路网形态的上海住宿业空间布局特征[J]. 地理科学,2021,41(9):1569-1577. [Long Fei, Dai Xuefeng, Yu Hu. Spatial layout characteristics of Shanghai accommodation industry based on road network form[J]. Geographical Science, 2021,41(9): 1569-1577.]
[27]
肖晨,何跃齐,赵嘉伟,等.城市轨道交通路网建模中路径搜索算法的实现[J].铁路通信信号工程技术,2021,18(9):49-53. [Xiao Chen, He Yueqi, Zhao Jiawei, et al. Implementation of path search algorithm in urban rail transit network modeling[J]. Railway communication signal engineering technology, 2021,18(9):49-53.]
[28]
杨迪,蔡怡然,王鹏,等.基于改进谱聚类算法的交通区域划分方法[J]. 计算 机工 程与 设计 , 2021, 42(9): 2478-2484. [Yang Di, Cai Yiran, Wang Peng, et al. Traffic area division method based on improved spectral clustering algorithm[J]. Computer Engineering and Design, 2021,42(9):2478-2484.]
[29]
张艺帆.基于Q-学习演化博弈模型的区域交通优化方法研究[D]. 北方工业大学,2021:48-66. [Zhang Yifan. Research on Regional Traffic Optimization Method Based on Q-Learning Evolutionary Game Model[D]. North China University of Technology, 2021:48- 66.]
[30]
Wang F, Antipova A, Porta S. Street centrality and land use intensity in Baton Rouge, Louisiana[J]. Journal of Transport Geography, 2010,19(2):285-293.
[31]
Li Qiumeng, Zhou Suhong, Wen Ping. The relationship between centrality and land use patterns: Empirical evidence from five Chinese metropolises[J]. Computers, Environment and Urban Systems, 2019,78,Article 101356.
[32]
张锦宗,朱瑜馨,马爱峰.山东省城市职能分类探讨[C]//2006年中国可持续发展论坛——中国可持续发展研究会2006学术年会区域可持续发展的创新模式专辑.中国可持续发展研究会:中国可持续发展研究会,2006:175-179. [Zhang Jinzong, Zhu Yuxin, Ma Aifeng, Shandong Province Urban Function Classification Discussion[C]//2006 China Forum on Sustainable Development-China Society for Sustainable Development 2006 academic annual regional sustainable development innovation mode album. China Society for Sustainable Development: China Society for Sustainable Development, 2006:175-179.]
[33]
王振,张志敏,禚保玲.基于多源数据的青岛市中心城区城市特征研究[C]//共享与品质——2018中国城市规划年会论文集(05城 市规划新技术应用), 2018:123-138. [Wang Zhen, Zhang Zhimin and Baoling.Research on urban characteristics of central urban areas in Qingdao based on multi-source data[C]// Sharing and Quality-2018 China Urban Planning Annual Conference Papers (05 New Urban Planning Technology Application ), 2018:123-138.]
[34]
禹文豪,艾廷华.核密度估计法支持下的网络空间POI点可视化与分析[J]. 测绘学报,2015,44(1):82-90. [Yu Wenhao, Ai Tinghua. Visualization and analysis of POI points in cyberspace supported by kernel density estimation method[J]. Journal of Surveying and Mapping, 2015,44(1):82-90.]
[35]
Daniel P. McMillen. Geographically weighted regression: The analysis of spatially varying relationships[J]. American Journal of Agricultural Economics, 2004,86(2):554-556.
[36]
Gehl J. Life Between Buildings: Using Public Space[M]. Koch, J, trans. New York: Van Norstrand Reinhold, 2011:13-29.
[37]
扬·盖尔,张学,杨磊.回归人性化城市——扬·盖尔专访[J].城市环境设计,2017(1):235-237. [Yang Geer, Zhang Xue, Yang Lei. Return to the humanized city-Yang Geer interview[J]. Urban Environmental Design, 2017(1):235-237.]
2022, Vol. 37 
