Abstract

Detailed studies on the spatiotemporal patterns of urban agglomeration in the Middle Yangtze River Basin (MYRB) are rare. This paper analyzed the spatiotemporal patterns of urbanization in the MYRB using multi-temporal remote sensing data circa 2000, 2008 and 2016 integrated with geographic information system (GIS) techniques and landscape analysis approaches. A multi-level analysis of the rate and intensity, type as well as the landscape changes of urban expansion at regional, prefectural and inner-city levels was performed. Results show that the MYRB experienced rapid urban expansion with an annual expansion rate of 3.199%, especially in the Chang-Zhu-Tan and Poyang Lake metropolitan areas. The small and medium cities presented faster urban expansion than the larger cities with annual growth rates three times the average level. Urban expansion within the three capital cities was further analyzed in detail. It is found that outlying expansion and edge-expansion were the dominant growth patterns at all the three levels. Although urbanization in the MYRB has a remarkable increase in the past sixteen years, its annual growth rate of urban land expansion has fallen behind the three other large urban agglomerations in China as a result. Finally, the spatial evolution of the socioeconomic structure of the MYRB was further explored. It indicated that urban land was distributed mainly along the “northwest-southeast” direction and that the economic spatial interactions among cities showed a pattern of “multi-polarization and fragmentation”, which illustrates the weak radiative driving forces of the central cities. The MYRB urban agglomeration faces a great challenge to manage trades-offs between narrowing the intra-regional disparity and maintaining synergetic development among cities.

Highlights

  • Urbanization has been an important social and economic phenomenon taking place at an unprecedented scale and rate all over the world [1]

  • Using multi-temporal remote sensing data, this paper details an investigation of the spatiotemporal change of urban land in the Middle Yangtze River Basin (MYRB) urban agglomeration from 2000 to 2016 at regional, prefectural, and inner-city levels

  • Three features of urban expansion are highlighted according to the results: (1) the MYRB has experienced significant urban land expansion over the past sixteen years

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Summary

Introduction

Urbanization has been an important social and economic phenomenon taking place at an unprecedented scale and rate all over the world [1]. In 2015, the development strategy [39] for urban agglomeration in the Middle Yangtze River Basin (MYRB) was released, which is based on the development of the urban agglomeration in the MYRB, emphasizing cooperation among neighboring cities, and aiming to create a new growth pole for China’s economic development, a new urbanization zone for the central and western regions, and a leading area for the construction of the two-type society (the resource-saving and environment-friendly society) In this context, studying the urban expansion in the MYRB is necessary which will provide supportive information for better urban planning and development. TThhee MMYYRRBB uurrbbaann aagggglloommeerraattiioonn,, llooccaatteedd iinn tthhee cceennttrraall ppaarrtt ooff tthheeYYaannggttzzee RRiivveerr EEccoonnoommiicc BBeelltt ((YYRREEBB)) ((FFiigguurree 11)),, iisstthheeffoouurrtthhlalargrgeeststuurbrbananagagglgolmomereartaiotinonininChCihnianfaoflolollwoiwnigntghethYeRYDR,DP,RPDRaDndanJdJJ JuJJrbuarnbaanggalgogmloemraetiroantisoannsdatnhde tsheecosnedcolnadrgleasrtguersbtaunrbaagnglaogmgelroamtieornatiinotnheinYtRhEeBY.RItEeBn.cIotmenpcaosmseps athssreese tchitryeeclucisttyersc,lunsatmeres,lyntahme ePloyyathneg LPaokyeanmgegLaalokpe omliseg(PaLloMpo) liins J(iaPnLgMx)i PirnovJiiannceg,xWi Purhoavninmcee,gaWlouphoalins m(WegHaMlo)pionlisH(uWbHeiMPr)oinviHncueb, eainPdrotvhienCceh, aanngdsthhae–CZhhaunzghsohua––XZihanugzhtaonu–mXeiganalgotpanolmis e(gCaZloTpMo)lisin(CHZuTnMan) iPnroHvuinncaen(FPirgouvrienc1ec)(.FAigsutrhee1mc)o. TThhee llooccaattiioonn ooff tthhee ssttuuddyy aarreeaa:: ((aa)) tthhee ssttuuddyy aarreeaa iinn CChhiinnaa;; ((bb)) tthhee ssttuuddyy aarreeaa iinn tthhee YYRREEBB aarreeaa;; ((cc)) ttooppooggrraapphhyy ooff tthhee ssttuuddyy aarreeaa;; aanndd ((dd)) ttoottaall GGDDPP ooff tthhee pprreeffeeccttuurraall cciittiieess iinn tthhee MMYYRRBB uurrbbaann aagggglloommeerraattiioonn iinn 22000000,, 22000088 aanndd 22001166.. ((CCCC:: CChheennggdduu--CChhoonnggqqiinngg UUrrbbaann AAgggglloommeerraattiioonn;;CCYY:: UUrrbbaann AAgggglloommeerraattiioonn iinn tthhee cceennttrraall YYuunnnnaann,, CChhiinnaa;; CCGG:: UUrrbbaann AAgggglloommeerraattiioonn iinn cceennttrraall GGuuiizzhhoouu,, CChhiinnaa)..)

Datasets
Data Processing
Qualitative Analysis of Urban Expansion
Urban Expansion Pattern
Landscape Metrics
Across-Scale Land-Cover Data Generation
Urban Landscape Became More Aggregated in the Whole MYRB from 2000 to 2016
Medium-Small Cities Witnessed Faster Urban Expansion than Larger Cities
The Existing Urban Land near the City Center Became Less Fragmented over Time
Evolution of the Spatial Structure in the MYRB Urban Agglomeration
Limitations and Future Perspectives
Findings
Conclusions
Full Text
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