Temporal-spatial growth pattern and driving forces of urban expansion in Xi’an over past 30 years

Huan XU; Bihong FU; Qiang GUO; Pilong SHI; Guoliang XUE

doi:10.11834/jrs.20186474

Remote Sensing Applications | Views : 0 下载量: 573 CSCD: 8

PDF
Export
Share
Collection
Album

Temporal-spatial growth pattern and driving forces of urban expansion in Xi’an over past 30 years
Vol. 22, Issue 2, Pages: 347-359(2018)
Received：26 December 2016，

Accepted：12 September 2017，

Published：2018-03
DOI： 10.11834/jrs.20186474
稿件说明：

移动端阅览

徐焕, 付碧宏, 郭强, 时丕龙, 薛国梁. 2018. 西咸一体化过程与城市扩展研究. 遥感学报, 22(2): 347–359 DOI： 10.11834/jrs.20186474.

Xu H, Fu B H, Guo Q, Shi P L and Xue G L. 2018. Temporal-spatial growth pattern and driving forces of urban expansion in Xi’an over past 30 years. Journal of Remote Sensing, 22(2): 347–359 DOI： 10.11834/jrs.20186474.

摘要

随着国家“一带一路”倡议的推进和“新型城镇化建设”战略的实施，中西部城市群建设的步伐大大加快，坚持“集约、节能、生态”的绿色发展理念和落实“以人为本”的城市发展核心价值已经成为具有中国特色城市发展的新潮流，中国中西部大城市群的时空扩展过程及其驱动力分析已经成为热点研究课题。本研究以丝绸之路起点大城市—西安市为研究对象，利用近30年来的多时相(1985年、1990年、1995年、2000年、2005年、2010年、2015年)Landsat卫星遥感数据，提取城市化扩展过程的时空变化信息。通过引入扩展强度指数、扩展速率指数、紧凑度等定量变化指数，从时间和空间尺度上分析西安市城市化扩展的数量及几何学特征。同时，选取西安市相应的社会经济统计数据，从人口、国内生产总值(GDP)、宏观政策(包括西咸经济一体化规划)、道路交通4个方面对城区扩展的驱动力进行了综合分析。研究结果表明：(1)城市面积的变化方面：西安市城区从1985年的107.44 km

增长到2015年的724.19 km

，30年间城区面积扩展了6.74倍。扩展强度和扩展速率都呈现先降后升的趋势，在2005年—2010年达到了最大值。(2)空间特征方面：1985年至2000年西安市主要向东部、北部及西北部扩展，2000年至2015年城区则转变为主要向西部、南部与西南部扩展。(3)紧凑度方面：1985年至2000年城市紧凑度呈快速下降趋势，由紧凑型(0.367)转变为较紧凑型(0.262)，2000年之后表现为缓慢下降，15年间下降了0.07。(4)城市扩展驱动因子方面：GDP和人口是城市扩展的关键因素，城区面积与GDP呈现出二次幂关系，而城区面积与人口数量则表现为线性正相关关系；此外，“西咸一体化”政策决定了西安市扩展和发展的宏观格局和规模；道路交通基础设施的配套建设也对城市发展起到牵引作用。西安市作为中国中西部“新型城镇化建设”的引领示范城市，城市发展面临着人口快速增长、水资源不足、生态环境脆弱等问题。因此，在今后的城市化发展过程中，应当秉持“绿色、生态、低碳”可持续发展理念，要加强生态功能区的规划，加快生态屏障区建设；统一渭河、泾河、灞河等主要河流的协调管理，合理配置水资源；优化产业结构，大力发展旅游等绿色产业，提高城市竞争力。

Abstract

The construction pace of the Middle-West urban agglomeration has greatly accelerated with the implementation of the “One Belt One Road” initiative and the new urbanization construction strategy. Adhering to the green concept of “intensive

energy saving

ecological development” and implementing a “people-oriented view” as core value have become the new trends. To understand the process of urban temporal-spatial growth pattern and driving forces

the urban spatial patterns at seven periods (1985

1990

1995

2000

2005

2010

2015) in Xi’an (the starting point of Silk Road) were extracted from multi-temporal Landsat satellite remote sensing data gathered in the past 30 years. Moreover

the quantitative and geometric characteristics of urban expansion were analyzed using the Urban Expansion Intensity Index (UEII)

Urban Expansion Rate Index (UERI)

and Compact Degree (CD). We analyzed the driving forces of urban expansion in Xi’an city from five aspects

such as population

Gross Domestic Product (GDP)

macro policy (such as the integration of Xi’an and Xianyang)

and traffic conditions. These measures were analyzed using social and economic statistical data in the same period. The results show the following. (1) Urban coverage increased from 107.44 km

to 724.19 km

which shows an expansion of 6.74 times. The annual average expansion area in the past 30 years was approximately 20.56 km

. UEII and UERI displayed a growth tendency after initial declines

simultaneously reaching the summit from 2005 to 2010. (2) The urban spatial pattern mainly expanded to the east

north

and northwest districts from 1985 to 2000. However

the trend moved to the west

south

and southwest areas in the next 15 years. Meanwhile

CD showed a rapid decrease of 0.367 to 0.262 from 1985 to 2000 and then slowly declined by 0.07 since 2000. (3) The urban area presented two power relations with GDP and displayed a linear positive correlation with population. Finally

government policy

such as the integration of Xi’an and Xian Yang

can influence the urban macro structure

scale of expansion and development

road traffic

and infrastructure-supporting construction. As a Middle-West China megacity

Xi’an plays a leading role in the new urbanization construction strategy. However

urban development faces problems

such as rapid population growth

insufficient water resources

and fragile ecological environment. Therefore

we suggest that the government take the “green

ecological

low-carbon” sustainable development path

improve the planning of ecological function areas

accelerate the construction of ecological barriers

reasonably allocate water resources

and develop competitive industries.

关键词

Keywords

references

Arsanjani J J, Helbich M, Kainz W and Boloorani A D. 2013. Integration of logistic regression, Markov chain and cellular automata models to simulate urban expansion. International Journal of Applied Earth Observation and Geoinformation, 21: 265–275

Bhatta B. 2009. Analysis of urban growth pattern using remote sensing and GIS: a case study of Kolkata, India. International Journal of Remote Sensing, 30(18): 4733–4746

Bhatta B, Saraswati S and Bandyopadhyay D. 2010. Urban sprawl measurement from remote sensing data. Applied Geography, 30(4): 731–740

陈晓红, 张文忠, 张海峰. 2016. 中国城市空间拓展与经济增长关系研究——以261个地级市为例. 地理科学, 36(8): 1141–1147

Chen X H, Zhang W Z and Zhang H F. 2016. The relations of urban spatial expansion and economic growth in China: a case study of 261 prefecture-level cities. Scientia Geographica Sinica, 36(8): 1141–1147 (

Dewan AM and Yamaguchi Y. 2009. Using remote sensing and GIS to detect andmonitor land use and land cover change in Dhaka Metropolitan of Bangladeshduring 1960-2005. Environmental Monitoring and Assessment, 150(1/4): 237–249

封建民, 赵敏宁, 李晓华. 2013. 近30年来西安市城市用地扩展时空变化研究. 水土保持研究, 20(4): 183–188

Feng J M, Zhao M N and Li X H. 2013. Spatiotemporal Variation of Urban Land-use Expansion in Xi’an City During the Last 30 Years. Research of Soil and Water Conservation, 20(4): 183–188 (

冯晓刚, 李锐. 2011. 西安咸阳一体化进程中城市扩张及驱动力研究. 测绘科学, 36(1): 102–104

Feng X G andLi R. 2011. Research on the urban expansion and driving factor-a case studyof Xi’an and Xianyang City. Science of Surveying and Mapping, 36(1): 102–104 (

Friedl M A, Sulla-Menashe D, Tan B, Schneider A, Ramankutty N, Sibley A and Huang X M. 2010. MODIS Collection 5 global land cover: algorithm refinements and characterizationof new datasets. Remote Sensing of Environment, 114(1): 168–182

Galster G, Hanson R, Ratcliffe M R, Wolman H, Coleman S, and Freihage J. 2001. Wrestling Sprawl to the Ground: defining and measuring an elusive concept. Housing Policy Debate, 12(4): 681–717

Gillies R R, Box J B, Symanzik J and Rodemaker E J. 2003. Effects of urbanization on the aquaticfauna of the Line Creek watershed, Atlanta—a satellite perspective. Remote Sensing of Environment, 86(3): 411–422

Henríquez C, Azócar G and Romero H. 2006. Monitoring and modeling the urbangrowth of two mid-sized Chilean cities. Habitat International, 30(4): 945–964

黄慧萍, 吴炳方, 李苗苗, 周为峰, 王忠武. 2004. 高分辨率影像城市绿地快速提取技术与应用. 遥感学报, 8(1): 68–74

Huang H P, Wu B F, Li M M, Zhou W F and Wang Z W. 2004. Detecting urban vegetation efficiently with high resolution remote sensing data. Journal of Remote Sensing, 8(1): 68–74 (

Kuang W H, Liu J Y, Zhang Z X, Lu D S and Xiang B. 2013. Spatiotemporal dynamics of impervious surface areas across China during the early 21st century. Chinese Science Bulletin, 58(14): 1691–1701

匡文慧, 张树文, 刘纪远, 邵全琴. 2010. 城市用地空间信息分类与数字重建——以长春百年城市内部用地变化为例. 遥感学报, 14(2): 345–355

Kuang W H, Zhang S W, Liu J Y and Shao Q Q. 2010. Methodology for classifying and detecting intra-urban land usechange: a case study of Changchun city during the last 100 years. Journal of Remote Sensing, 14(2): 345–355 (

匡文慧, 张树文, 张养贞, 盛艳. 2005. 1900年以来长春市土地利用空间扩张机理分析. 地理学报, 60(5): 841–850

Kuang W H, Zhang S W, Zhang Y Z and Sheng Y. 2005. Analysis of urban land utilization spatial expansion mechanismin Changchun City since 1900. Acta Geographica Sinica, 60(5): 841–850 (

李爱民. 2009. 基于遥感影像的城市建成区扩张与用地规模研究. 郑州: 解放军信息工程大学: 14–56

Li A M. 2009. Research on Urban Built-up Area Expansion & Land Use Scale Based on Remote Sensing Images. Zhengzhou: Information Engineering University: 14–56

李富祥, 李雪铭, 李华朋. 2010. 基于光谱混合分析方法的城市扩张过程研究. 城市发展研究, 17(10): 119–124

Li F X, Li X M and Li H P. 2010. Urban sprawl study based on spectral mixture analysis method. Urban Studies, 17(10): 119–124 (

李明财, 郭军, 熊明明. 2011. 基于遥感和GIS的天津建成区扩张特征及驱动力. 生态学杂志, 30(7): 1521–1528

Li M C, Guo J and Xiong M M. 2011. Expansion characteristics and its driving forces of built-up area in Tianjin based on remotesensing and GIS. Chinese Journal of Ecology, 30(7): 1521–1528 (

吝涛, 李新虎, 张国钦, 赵千钧, 崔胜辉. 2010. 厦门岛城市空间扩张特征及其影响因素分析. 地理学报, 65(6): 715–726

Lin T, Li X H, Zhang G Q, Zhao Q J and Cui S H. 2010. Dynamic analysis of island urban spatial expansion and its determinants: a case study of Xiamen Island. Acta Geographica Sinica, 65(6): 715–726 (

Liu J Y, Liu M L, Tian H Q, Zhuang D F, Zhang Z X, Zhang W, Tang X M and Deng X Z. 2005. Spatial and temporal patterns of China’s cropland during 1990-2000: ananalysis based on Landsat TM data. Remote Sensing of Environment, 98(4): 442–456

刘纪远, 张增祥, 庄大方, 王一谋, 周万村, 张树文, 李仁东, 江南, 吴世新. 2003. 20世纪90年代中国土地利用变化时空特征及其成因分析. 地理研究, 22(1): 1–12

Liu J Y, Zhang Z X, Zhuang D F, Wang Y M, Zhou W C, Zhang S W, Li R D, Jiang N and Wu S X. 2003. A study on the spatial-temporal dynamic changes of land–useand driving forces analyses of China in the 1990s. Geographical Research, 22(1): 1–12 (

Ma Y L and Xu R S. 2010. Remote sensing monitoring and driving force analysis of urban expansion in Guangzhou City, China. Habitat International, 34(2): 228–235

Montgomery M R. 2008. The urban transformation of the developing world. Science, 319(5864): 761–764

牟凤云, 张增祥, 迟耀斌, 刘斌, 周全斌, 王长有, 谭文彬. 2007. 基于多源遥感数据的北京市1973-2005年间城市建成区的动态监测与驱动力分析. 遥感学报, 11(2): 257–268

Mu F Y, Zhang Z X, Chi Y B, Liu B, Zhou Q B, Wang C Y and Tan W B. 2007. Dynamic monitoring of built-up area in Beijing during 1973-2005 based on multi-original remote sensed images. Journal of Remote Sensing, 11(2): 257–268 (

Schneider A and Mertes C M. 2014. Expansion and growth in Chinese cities, 1978-2010. Environmental Research Letters, 9(2): 024008

苏高华. 2011. 基于省域尺度的中国城市住宅用地扩张演变过程研究. 水土保持研究, 18(3): 102–105

Su G H. 2011. A study on the evolution process of housing land spatial expansion inChinese cities based on provincial scale. Research of Soil and Water Conservation, 18(3): 102–105 (

田光进, 张增祥, 王长有, 刘斌, 魏成阶. 2001. 基于遥感与GIS的海口市土地利用结构动态变化研究. 自然资源学报, 16(6): 543–546

Tian G J, Zhang Z X, Wang C Y, Liu B and Wei C J. 2001. Dynamic change of land-use structure in Haikou by remote sensing and GIS. Journal of Natural Resources, 16(6): 543–546 (

WangL, Li C C, Ying Q, Cheng X, Wang X Y, Li X Y, Hu L Y, Liang L, Yu L, Huang H B and Gong P. 2012. China’s urban expansion from 1990 to 2010 determined with satellite remote sensing. Chinese Science Bulletin, 57(22): 2802–2812

王思远, 刘纪远, 张增祥, 周全斌, 王长有. 2002. 近10年中国土地利用格局及其演变. 地理学报, 57(5): 523–530

Wang S Y, Liu J Y, Zhang Z X, Zhou Q B and Wang C Y. 2002. Spatial pattern change of land use in China in recent 10 years. Acta Geographica Sinica, 57(5): 523–530 (

王伟武, 金建伟, 肖作鹏, 石婷婷. 2009. 近18年来杭州城市用地扩展特征及其驱动机制. 地理研究, 28(3): 685–695

Wang W W, Jin J W, Xiao Z P and Shi T T. 2009. Urban expansion and its driving forces based onremote sensed data and GIS: a case study of Hangzhou city from 1991 to 2008. Geographical Research, 28(3): 685–695 (

夏叡, 李云梅, 王桥, 王彦飞, 金鑫, 徐恩惠. 2009. 无锡市城市扩张与热岛响应的遥感分析. 地球信息科学学报, 11(5): 677–683

Xia R, Li Y M, Wang Q, Wang Y F, Jin X and Xu E H. 2009. Urban expansion in Wuxi City and heat island response by RS analysis. Journal of Geo-Information Science, 11(5): 677–683 (

Xu X L and Min X B. 2013. Quantifying spatiotemporal patterns of urban expansion in China using remote sensing data. Cities, 35: 104–113

闫梅, 黄金川. 2013. 国内外城市空间扩展研究评析. 地理科学进展, 32(7): 1039–1050

Yan M and Huang J C. 2013. Review on the research of urban spatial expansion. Progress in Geography, 32(7): 1039–1050 (

杨叶涛, 龚建雅, 王迎迎, 曾又枝. 2010. 基于格网划分的城市区域土地利用景观格局时空变化遥感监测. 遥感技术与应用, 25(4): 480–485

Yang Y T, Gong J Y, Wang Y Y and Zeng Y Z. 2010. Grid spliting based landscape change detection using multi-temporalRS imagery: a case study of Beijing. Remote Sensing Technology and Application, 25(4): 480–485 (

岳文泽, 吴次芳. 2007. 基于混合光谱分解的城市不透水面分布估算. 遥感学报, 11(6): 914–922

Yue W Z and Wu C F. 2007. Urban impervious surface distribution estimationbyspectral mixture analysis. Journal of Remote Sensing, 11(6): 914–922 (

张亦汉, 黎夏, 刘小平, 乔纪纲, 何执兼. 2013. 耦合遥感观测和元胞自动机的城市扩张模拟. 遥感学报, 17(4): 872–886

Zhang Y H, Li X, Liu X P, Qiao J G and He Z J. 2013. Urban expansion simulation by coupling remote sensing observations and cellular automata. Journal of Remote Sensing, 17(4): 872–886 (

Zhang Z X, Wang X, Zhao X L, Liu B, Yi L, Zuo L J, Wen Q K, Liu F, Xu J Y and Hu S G. 2014. A 2010 update of National Land Use/Cover Database of China at 1:100000 scale using medium spatial resolution satellite images. Remote Sensing of Environment, 149: 142–154

Alert me when the article has been cited

提交

Multiscale feature extraction model for remote sensing identification of erosion gullies in Northeast China’s black soil region： A case study of Hailun City

Advances in lake ice monitoring methods based on remote sensing technology

High spatial and temporal resolution monitoring of water area changes of Dongting Lake by joint Sentinel satellite series of radar and optical images

2021年中国北部特大沙尘天气的遥感监测与路径分析

Spatial distribution and dynamics of lakes in China： Progress in remote sensing monitoring at national scale and new inventory of the maximum lake extent and change trajectory