基于交通流的关中城市群城际交互对城市空间增长的影响

李宇; 李涛; 邱孟龙; 李继园; 曹小曙

doi:10.13959/j.issn.1003-2398.2023.01.017

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人文地理 ›› 2023, Vol. 38 ›› Issue (1) : 147-157. DOI: 10.13959/j.issn.1003-2398.2023.01.017

交通

基于交通流的关中城市群城际交互对城市空间增长的影响

李宇^1,2, 李涛¹, 邱孟龙¹, 李继园¹, 曹小曙¹

作者信息 +

IMPACT OF INTERCITY INTERACTION ON URBAN SPACE GROWTH IN THE GUANZHONG PLAIN URBAN AGGLOMERATION BASED ON TRAFFIC FLOWS

LI Yu^1,2, LI Tao¹, QIU Meng-long¹, LI Ji-yuan¹, CAO Xiao-shu¹

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文章历史 +

摘要

流动空间背景下，探讨城际交互对城市群城市空间联动增长的影响对有效调控城市空间增长，促进城镇化可持续发展具有重要意义。本文以西部关中城市群为例，基于土地利用和城际交通出行大数据，系统分析了以城际出行表征的城际交互对关中城市群城市空间联动增长的影响。结果表明：①关中城市群城际交通出行空间组织呈现出以西安为核心，咸阳、渭南、宝鸡为次级节点的组织格局。②2010年以来，关中城市群城市空间规模迅速增加，八年间共增长1398.80km²，年均增长174.85km²，空间上主要集中于西安、咸阳和运城等地；西安是城市群城市空间增长的首要贡献者，在2010—2015年、2015—2018年间占比分别高达36.04%和34.70%。③与沿海发达地区类似，以城际交通出行表征的城际交互同样对西部关中城市群的城市空间增长呈现出逐步增强的正向驱动作用，第二阶段（2015—2018）解释贡献率显著高于第一时段（2010—2015），分别为7.54%和5.50%。

Abstract

Previous studies on urban space growth mainly focused on the local driving forces. Against the background of the space of flows, it's significant to explore the impact of intercity interaction on urban space growth for promoting the sustainable development of urbanization. Using land use data and traffic big data inferred from passenger travels, this paper takes the Guanzhong Plain urban agglomeration as a case study to examine the impact of intercity interaction on urban space growth from 2010 to 2018. The potential driving factors of urban space growth has been divided into local and intercity interaction variables as previous studies. The results show that the spatial organization of intercity travel in Guanzhong urban agglomeration presents an organizational pattern with Xi'an as the core and Xianyang, Weinan, and Baoji as secondary nodes. Secondly, the Guanzhong urban agglomeration experienced a rapid and significant expansion of urban space during 2010—2018, with an increase of 1398.8 km², or an annual rate of 174.85 km², mainly concentrated in Xi'an, Xianyang and Yuncheng. Thirdly, similar to the developed coastal urban agglomerations, the intercity interaction, characterized by intercity passenger travel, has a gradually increasing positive driving effect on the urban space growth during the study period. Relative contribution rates are 5.50% and 7.54% in the period of 2010—2015 and 2015—2018, respectively. This study provides quantitative insights into the issue of sustainable urban space growth in western China.

导出引用

李宇, 李涛, 邱孟龙, 李继园, 曹小曙. 基于交通流的关中城市群城际交互对城市空间增长的影响[J]. 人文地理. 2023, 38(1): 147-157 https://doi.org/10.13959/j.issn.1003-2398.2023.01.017

LI Yu, LI Tao, QIU Meng-long, LI Ji-yuan, CAO Xiao-shu. IMPACT OF INTERCITY INTERACTION ON URBAN SPACE GROWTH IN THE GUANZHONG PLAIN URBAN AGGLOMERATION BASED ON TRAFFIC FLOWS[J]. HUMAN GEOGRAPHY. 2023, 38(1): 147-157 https://doi.org/10.13959/j.issn.1003-2398.2023.01.017

中图分类号： K901

参考文献

[1] 周春山,叶昌东.中国特大城市空间增长特征及其原因分析[J].地理学报,2013,68(6):728-738.[Zhou Chunshan, Ye Changdong. Features and causes of urban spatial growth in Chinese metropolises[J]. Acta Geographica Sinica, 2013,68(6):728-738.]
[2] Kuang W H. Mapping global impervious surface area and green space within urban environments[J]. Science China Earth Sciences, 2019,62:1591-1606.
[3] Zhang C, Miao C H, Zhang W Z, et al. Spatiotemporal patterns of urban sprawl and its relationship with economic development in China during 1990-2010[J]. Habitat International, 2018,79:51-56.
[4] 陆大道.我国的城镇化进程与空间扩张[J].城市规划学刊,2007(4):47-52.[Lu Dadao. Urbanization Process and spatial sprawl in China[J]. Urban Planning Forum, 2007(4):47-52.]
[5] 赵丹阳,佟连军,仇方道,等.松花江流域城市用地扩张的生态环境效应[J]. 地理研究,2017,36(1):74-84.[Zhao Danyang, Tong Lianjun, Qiu Fangdao, et al. Eco-environment effect of urban expansion in Songhua River Basin[J]. Geographical Research, 2017,36(1):74-84.]
[6] Seto K C, Fragkias M, Güneralp B, et al. A meta-analysis of global urban land expansion[J/OL]. Plos One, 2011, 6(8):e23777. https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0023777.
[7] Liu Z F, He C Y, Zhang Q F, et al. Extracting the dynamics of urban expansion in China using DMSP-OLS nighttime light data from 1992 to 2008[J]. Landscape and Urban Planning, 2012,106(1):62-72.
[8] 李孝永,匡文慧.京津冀1980-2015年城市土地利用变化时空轨迹及未来情景模拟[J]. 经济地理,2019,39(3):187-194,200.[Li Xiaoyong, Kuang Wenhui. Spatio-temporal trajectories of urban land use change during 1980-2015 and future scenario simulation in Beijing-Tianjin-Hebei urban agglomeration[J]. Economic Geography, 2019,39(3):187-194,200.]
[9] 焦利民,龚晨,许刚,等. 大都市区城市扩张过程及形态对比分析——以东京、纽约和上海为例[J].地理科学进展,2019,38(5):675-685.[Jiao Limin, Gong Chen, Xu Gang, et al. Urban expansion dynamics and urban forms in three metropolitan areas:Tokyo, New York, and Shanghai[J]. Progress in Geography, 2019,38(5):675-685.]
[10] 谈明洪,吕昌河.以建成区面积表征的中国城市规模分布[J].地理学报,2003(2):285-293.[Tan Minghong, Lv Changhe. Distribution of China city size expressed by urban built-up area[J]. Acta Geographica Sinica, 2003(2):285-293.]
[11] 张永芳,张跃胜,冯云廷.基于探索性数据分析法的城市人地异速分异研究——以三大城市群为例[J]. 城市发展研究,2020,27(9):58-65.[ZhangYongfang, Zhang Yuesheng, Feng Yunting. Study on spatial differrentiation of man-land allometric growth based on esda:Take the three metropolitan areas as an example[J]. Urban Development Studies, 2020,27(9):58-65.]
[12] Jiao L M. Urban land density function:A new method to characterize urban expansion[J]. Landscape and Urban Planning, 2015,139:26-39.
[13] Li G D, Sun S, Fang C L. The varying driving forces of urban expansion in China:Insights from a spatial-temporal analysis[J]. Landscape and Urban Planning, 2018,174:63-77.
[14] Li X M, Zhou W Q, Ouyang Z Y. Forty years of urban expansion in Beijing:What is the relative importance of physical, socioeconomic, and neighborhood factors?[J]. Applied Geography, 2013, 38(1):1-10.
[15] Xia C, Zhang A Q, Wang H J, et al. Bidirectional urban flows in rapidly urbanizing metropolitan areas and their macro and micro impacts on urban growth:A case study of the Yangtze River middle reaches megalopolis, China[J]. Land Use Policy, 2019,82:158-168.
[16] Seto K C, Reenberg A, Boone C G, et al. Urban land teleconnections and sustainability[J]. Proceedings of the National Academy of Sciences of the United States of America, 2012,109(20):7687-7692.
[17] Liu Jianguo, Hull V, Batistella M, et al. Framing sustainability in a telecoupled world[J]. Ecology and Society, 2013,18(2):26-45.
[18] 马恩朴,蔡建明,林静,等. 远程耦合视角下的土地利用/覆被变化解释[J]. 地理学报,2019,74(3):421-431.[Ma Enpu, Cai Jianming, Lin Jing, et al. Explanation of land use/cover change from the perspective of tele-coupling[J]. Acta Geographica Sinica, 2019,74(3):421-431.]
[19] 刘瑜,姚欣,龚咏喜,等.大数据时代的空间交互分析方法和应用再论[J].地理学报,2020,75(7):1523-1538.[Liu Yu, Yao Xin, Gong Yongxi. Analytical methods and applications of spatial interactions in the era of big data[J]. Acta Geographica Sinica, 2020,75(7):1523-1538.]
[20] 何建华,施璇,龚健,等.顾及空间交互作用的城市群联动空间增长模拟——以武汉都市区为例[J]. 武汉大学学报(信息科学版), 2016,41(4):462-467.[He Jianhua, Shi Xuan, Gongjian, et al. Modeling the spatial expansion of urban agglomeration considering their spatial interaction:A case study of Wuhan metropolitan area[J]. Geomatics and Information Science of Wuhan University, 2016, 41(4):462-467.]
[21] 焦利民,唐欣,刘小平.城市群视角下空间联系与城市扩张的关联分析[J]. 地理科学进展,2016,35(10):1177-1185.[Jiao Limin, Tang Xin, Liu Xiaoping. Spatial linkage and urban expansion:An urban agglomeration perspective[J]. Progress in Geography, 2016,35(10):1177-1185.]
[22] 欧阳晓,朱翔,贺清云.基于空间区位条件的长株潭城市群城市用地扩张研究[J].经济地理,2020,40(5):183-190.[Ouyang Xiao, Zhu Xiang, He Qingyun. Study on urban land expansion of changshaZhuzhou-Xiangtan urban agglomeration based on spatial location conditions[J]. Economic Geography, 2020,40(5):183-190.]
[23] He C Y, Zhao Y Y, Tian J, et al. Modeling the urban landscape dynamics in a megalopolitan cluster area by incorporating a gravitational field model with cellular automata[J]. Landscape and Urban Planning, 2013,113:78-89.
[24] Wang K, Zhou W Q. Do local factors or teleconnections control urbanization? The shifting balance in a Chinese megaregion[J]. Landscape and Urban Planning, 2018,180:179-186.
[25] Xia C, Zhang A, Wang H, et al. Modeling urban growth in a metropolitan area based on bidirectional flows, an improved gravitational field model, and partitioned cellular automata[J]. International Journal of Geographical Information Science, 2019,33(5):877-899.
[26] Lv J J, Wang Y F, Liang X, et al. Simulating urban expansion by incorporating an integrated gravitational field model into a demanddriven random forest-cellular automata model[J/OL]. Cities, 2021, 109:103044. https://doi.org/10.1016/j.cities.2020.103044.
[27] Lin J, Li X. Simulating urban growth in a metropolitan area based on weighted urban flows by using web search engine[J]. International Journal of Geographical Information Science, 2015, 29(10):1721-1736.
[28] Lei W Q, Jiao L M, Xu Z H, et al. Scaling of urban economic outputs:Insights both from urban population size and population mobility[J/OL]. Computers Environment and Urban Systems, 2021, 88(1):101657. https://doi.org/10.1016/j.compenvurbsys.2021.101657.
[29] Tan R H, Zhou K H, He Q S, et al. Analyzing the Effects of Spatial Interaction among City Clusters on Urban Growth-Case of Wuhan Urban Agglomeration[J/OL]. Sustainability, 2016, 8(8):759. https://doi.org/10.3390/su8080759.
[30] 焦敬娟,王姣娥,金凤君,等.高速铁路对城市网络结构的影响研究——基于铁路客运班列分析[J]. 地理学报,2016,71(2):265-280.[Jiao Jingjuan, Wang Jiaoe, Jin Fengjun, et al. Impact of high-speed rail on inter-city network based on the passenger train network in China, 2003-2013[J]. Acta Geographica Sinica, 2016,71(2):265-280.]
[31] 王劲峰,徐成东. 地理探测器:原理与展望[J]. 地理学报,2017, 72(1):116-134.[Wang Jinfeng, Xu Chengdong. Geodetector:Principle and prospective[J]. Acta Geographica Sinica, 2017,72(1):116-134.]
[32] 张欣,潘竟虎.中国城市蔓延时空动态识别及驱动因素探测[J].人文地理,2021,36(4):114-125.[Zhang Xin, Pan Jinghu. Identification of spatio-temporal dynamics and defection for driving factors of urban sprawl in China[J]. Human Geography, 2021,36(4):114-125.]
[33] 张利,雷军,李雪梅,等.1997-2007年中国城市用地扩张特征及其影响因素分析[J]. 地理科学进展,2011,30(5):607-614.[Zhang Li, Lei Jun, Li Xuemei, et al. The features and influencing factors of urban expansion in China during 1997-2007[J]. Progress in Geography, 2011,30(5):607-614.]
[34] 高金龙,包菁薇,刘彦随,等.中国县域土地城镇化的区域差异及其影响因素[J].地理学报,2018,73(12):2329-2344.[Gao Jinlong, Bao Jingwei, Liu Yansui, et al. Regional disparity and the influencing factors of land urbanization in China at the county level, 2000-2015[J]. Acta Geographica Sinica, 2018,73(12):2329-2344.]
[35] Fang C L, Ren Y F. Analysis of emergy-based metabolic efficiency and environmental pressure on the local coupling and telecoupling between urbanization and the eco-environment in the BeijingTianjin-Hebei urban agglomeration[J]. Science China(Earth Sciences), 2017,60(6):1083-1097.