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Spatial variation of the relationship between transport accessibility and the level of economic development in Qinghai-Tibet Plateau, China

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Abstract

As an important component of China’ transportation systems, for a long time, the insufficient performance of transport in Qinghai- Tibet Plateau (QTP) was a bottleneck restricting the economic growth and social development in this area. Nevertheless, the implementation of the western development strategy has accelerated the preliminary construction of comprehensive transport network since 2000. Due to the large area and significant geographical heterogeneity, there is a growing need to understand the relationship between transportation and economic development based on the perspective of spatial difference. By using GIS-based raster analysis and Geographically Weighted Regression (GWR) model, we investigated the spatial-temporal distribution of highway, railway and airport accessibility, respectively, and estimated the correlation and heterogeneity between transport accessibility and the level of economic development. Results revealed that: (1) Transport accessibility in the QTP improved by 53.38% in the past 15 years, which is specifically embodied in the improvement of both highway and railway. (2) Accessibility presented prominent differentiation in the space, increasing from west to east and reducing with the rise of elevation, specifically, the best accessibility area of the highway is below 4000m above sea level, while the area with an altitude of over 4000 m has the lowest aviation time cost. (3) In general, the long weighted average time cost to critical transport facilities posed significantly negative effect on county economic growth in QTP, more positively, the adverse effect gradually weakened over time. (4) Obvious heterogeneity exists at the influence of different transport accessibility factors on the level of economic development, reflecting both in the horizontal space and altitudinal belt. Therefore, region-specific policies should be addressed for the sustainable development of transport facilities as well as economy in the west mountain areas.

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References

  • Ahlström A, Pilesjö P, Lindberg J (2011) Improved accessibility modeling and its relation to poverty: A case study in Southern Sri Lanka. Habitat International 35(2): 316–326. https://doi.org/10.1016/j.habitatint.2010.11.002

    Article  Google Scholar 

  • Baldwin R, Forslid R, Martin P, et al. (2005) Economic geography and public policy. Princeton University Press, Princeton and Oxford.

    Google Scholar 

  • Bottasso A, Conti M (2010) The productive effect of transport infrastructures: does road transport liberalization matter. Journal of Regulatory Economics 38(1): 27–48. https://doi.org/10.1007/s11149-010-9115-2

    Article  Google Scholar 

  • Bowen J (2000) Airline hubs in southeast Asia: national economic development and nodal accessibility. Journal of Transport Geography 8: 25–41. https://doi.org/10.1016/S0966-6923(99)00030-7

    Article  Google Scholar 

  • Caschili S, De Montis A, Trogu D (2014) Accessibility and rurality indicators for regional development. Computers, Environment and Urban Systems 49: 98–114. https://doi.org/10.1016/j.compenvurbsys.2014.05.005

    Article  Google Scholar 

  • Castella JC, Manh PH, Kam SP, et al (2005) Analysis of village accessibility and its impact on land use dynamics in a mountainous province of northern Vietnam. Applied Geography 25(4): 308–326. https://doi.org/10.1016/j.apgeog.2005.07.003

    Article  Google Scholar 

  • Dannenberg P, Kunze M, Nduru GM (2011) Isochronal map of fresh fruits and vegetable transportation from the Mt. Kenya region to Nairobi. Journal of Maps 7(1): 273–279. https://doi.org/10.4113/jom.2011.1169

    Article  Google Scholar 

  • Fang YP, Fan J, Shen MY, et al. (2014) Sensitivity of livelihood strategy to livelihood capital in mountain areas: Empirical analysis based on different settlements in the upper reaches of the Minjiang River, China. Ecological Indicators 38: 225–235. https://doi.org/10.1016/j.ecolind.2013.11.007

    Article  Google Scholar 

  • Fang YP, Ying B (2016) Spatial distribution of mountainous regions and classifications of economic development in China. Jounral of mountain science 13(6): 1120–1138. http://doi.org/10.1007/s11629-015-3714-4.

    Article  Google Scholar 

  • Foody GM (2003) Geographical weighting as a further refinement to regression modelling: an example focused on the NDVI-rainfall relationship. Remote. Remote Sensing of Environment 88(3): 283–293. https://doi.org/10.1016/j.rse.2003.08.004

    Article  Google Scholar 

  • Fotheringham AS, Charlton ME, Brunsdon C (1980) Geographically weighted regression: A national evolution of the expansion method for spatial data analysis. Environment and Planning A: Economy and Space 30: 1905–1927. http://doi.org/10.1068/a301905

    Article  Google Scholar 

  • Fotheringham AS, Brunsdon C, Charlton ME (2002) Geographically Weighted Regression: the analysis of spatially varying relationships. West Sussex: John Wiley & Sons Ltd.

    Google Scholar 

  • Gilbert A, Chakraborty J (2011) Using geographically weighted regression for environmental justice analysis: cumulative cancer risks from air toxics in Florida. Social Science Research 40(1): 273–286. https://doi.org/10.1016/j.ssresearch.2010.08.006

    Article  Google Scholar 

  • Hansen WG (1959) How accessibility shapes land-use. Journal of the American Institute of Planners 25(2): 73–76. https://doi.org/10.1080/01944365908978307

    Article  Google Scholar 

  • Holl A (2004) Manufacturing location and impacts of road transport infrastructure: Empirical evidence from Spain. Regional Science and Urban Economics 34(3): 341–363. https://doi.org/10.1016/S0166-0462(03)00059-0

    Article  Google Scholar 

  • Hou Q, Li SM (2011) Transport infrastructure development and changing spatial accessibility in the Greater Pearl River Delta, China, 1990–2020. Journal of Transport Geography 16:1350–1360. https://doi.org/10.1016/j.jtrangeo.2011.07.003

    Article  Google Scholar 

  • Ji XF, Liu DS (2018) Coupling mechanism of county traffic accessibility and spatial poverty based on 3D theory and SEM: A case study in mountains border regions of western Yunnan. Resources and Environment in the Yangtze Basin, 27(7): 1467–1477. (In Chinese)

    Google Scholar 

  • Johnston RJ (1994) Dictionary of Human Geography. Oxford: Basil Blackwell.

    Google Scholar 

  • Keeble D, Owens PL, Thompson C (1982) Regional accessibility and economic potential in the European community. Regional Studies 16: 419–432. https://doi.org/10.1080/09595238200185421

    Article  Google Scholar 

  • Li PH, Lu YQ (2005) Review and prospectation of accessibility research. Progress in Geography, 24: 69–78. (In Chinese)

    Google Scholar 

  • Liu BT, Tao HP, Liu SQ, et al (2011) Transportation accessibility evaluation model for mountainous areas and its application. Progress in Geography, 30(6): 733–738. (In Chinese)

    Google Scholar 

  • Liu CM, Zeng JX (2011) The calculating method about the comprehensive transport accessibility and its correlation with economic development at county level: the statistical analysis of 79 counties in Hubei Province 30(12): 2209–2221. (In Chinese)

    Google Scholar 

  • Lu DD (1995) Regional development and spatial structure. Beijing: Science Press. (In Chinese)

    Google Scholar 

  • Monzón A, Ortega E, López E (2013) Efficiency and spatial equity impacts of high-speed rail extensions in urban areas. Cities 30: 18–30. https://doi.org/10.1016/j.cities.2011.11.002

    Article  Google Scholar 

  • O'Kelly ME, Horner MW (2003) Aggregate accessibility to population at the county level: U.S. 1940–2000. Journal of Geographical Systems 5(1): 5–23. https://doi.org/10.1007/s101090300101

    Article  Google Scholar 

  • Paez A (2004) Network accessibility and the spatial distribution of economic activity in Eastern Asia. Urban Studies 41: 2211–2230. https://doi.org/10.1080/0042098042000268429

    Article  Google Scholar 

  • Pan JH, Cong YB (2012) Spatial Accessibility of Scenic Spot at 4A Level and Above in China. Scientia Geographica Sinica 32(11): 1321–1327. (In Chinese)

    Google Scholar 

  • Shen JH, Lu YQ, Duan BX (2011) Assessment on accessibility of Wanjiang City Belt under the background of taking over industry transfer of the Yangtze River Delta. Economic Geography 31(11): 1786–1732. (In Chinese)

    Google Scholar 

  • Shi QQ, Kang JJ, Lu FX, et al (2016) Accessibility and urban economic linkages of counties in Shanxi Province. Progress in Geography, 36(11): 1340–1351. (In Chinese)

    Article  Google Scholar 

  • Sun YW, Guo QH, Liu J (2014) Scale effects on spatially varying relationships between urban landscape patterns and water quality. Environmental Management, 54(2): 272–287. https://doi.org/10.1007/s00267-014-0287-x

    Article  Google Scholar 

  • Tu J, Xia Z (2008) Examining spatially varying relationships between land use and water quality using geographically weighted regression I: model design and evaluation. Science of the total environment 407(1): 358–378. https://doi.org/10.1016/j.scitotenv.2008.09.031

    Article  Google Scholar 

  • Vickerman R (1995) Location, accessibility and regional development: The appraisal of trans-European networks. Transport Policy 2(4): 225–234. https://doi.org/10.1016/S0967-070X(95)00013-G

    Article  Google Scholar 

  • Vickerman R (1997) High-speed rail in Europe: experience and issues for future development. The Annals of Regional Science 31(1): 21–38. https://doi.org/10.1007/s00168005003

    Article  Google Scholar 

  • Vickerman R, Spiekermann K, Wegener M (1999) Accessibility and economic development in Europe. Regional Studies 33(1): 1–15. https://doi.org/10.1080/00343409950118878

    Article  Google Scholar 

  • Wang JJ, Xu J, He J (2013) Spatial impacts of high-speed railways in China: a total-travel time approach. Environment and planning A 45(9): 2261–2280. https://doi.org/10.1068/a45289

    Article  Google Scholar 

  • Wang KJ, Cai HY, Yang XH (2016) Multiple scale spatialization of demographic data with multi-factor linear regression and Geographically Weighted Regression Models. Progress in Geography 35(12): 1494–1505. (In Chinese)

    Article  Google Scholar 

  • Wang WL, Wang MM, Cao XS (2015) Evolution of road accessibility and its effects on economy development in Wuling Mountain Areas from 1978–2012. Geographical Research 34(9): 1755–1769. (In Chinese)

    Google Scholar 

  • Wang ZB, Xu JG, Fang CL (2011) The study on county accessibility in China: Characteristics and effects on population agglomeration. Journal of Geographical Sciences 21: 18–34. (In Chinese)

    Article  Google Scholar 

  • Wang ZB, Xu G, Bao C, et al. (2017) Spatial and economic effects of the Bohai Strait Cross- Sea Channel on the transportation accessibility in China. Applied Geography 83: 86–99. https://doi.org/10.1016/j.apgeog.2017.04.002

    Article  Google Scholar 

  • Wheeler DC, Tiefelsdorf M (2005) Multicollinearity and correlation among local regression coefficients in geographically weighted regression. Journal of Geographical Systems 7(2): 161–187. https://doi.org/10.1007/s10109-005-0155-6

    Article  Google Scholar 

  • Wu QT, Zhang HO, Sun W, et al. (2015) Influence of the Xiamen- Shenzhen high-speed railways on accessibility and regional development: a case study of eastern Guangdong Province. Progress in Geography 34: 707–715. (In Chinese)

    Article  Google Scholar 

  • Yang XT, Fang YP, Qiu XP, et al. (2018) Gradient effect of road transportation on economic development in different geomorphic regions. Journal of Mountain Science 15(1): 181–197. https://doi.org/10.1007/s11629-017-4498-5

    Article  Google Scholar 

  • Yu N, Jong MD, Storm S, et al. (2012) The growth impact of transport infrastructure investment: A regional analysis for China(1978–2008). Policy and Society 31: 25–38. https://doi.org/10.1016/j.polsoc.2012.01.004

    Article  Google Scholar 

  • Yu N, Jong MD, Storm S, et al. (2013) Spatial spillover effects of transport infrastructure: evidence from Chinese regions. Journal of Transport Geography 28: 56–66. https://doi.org/10.1016/j.jtrangeo.2012.10.009

    Article  Google Scholar 

  • Zhang YL, Li BY, Zheng DA (2002) A discussion on the boundary and area of the Tibetan Plateau in China. Geographical Research 21: 1–8. (In Chinese)

    Google Scholar 

  • Zhang YL, Zhang W, Bai WQ, et al. (2005) An analysis of statistical data about Tibetan Plateau in China-A case study on population. Progress in Geography 24: 11–20. (In Chinese)

    Google Scholar 

  • Zhu Y, Hou GL, Lan GZM, et al. (2018) GIS-based analysis of traffic routes and regional division of the Qinghai-Tibetan Plateau in prehistoric period. Progress in Geography 37(3): 438–449. (In Chinese)

    Article  Google Scholar 

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Acknowledgements

This work was jointly sponsored by Institute of Mountain Hazards and Environment, Research Center of Sichuan County Economy Development. The authors gratefully acknowledge the financial support from the National Natural Science Foundation of China (Grants No. 41571523, 41661144038, 41671152), the National Key Technology Research and Development Program of the Ministry of Science and Technology of China (Grant No. 2014BAC05B01) and the Major Base Planning Projects of Sichuan Social Science (Grants No. SC18EZD050).

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Authors and Affiliations

  1. Research Center of Sichuan County Economy Development, Mianyang Teachers’ College, Mianyang, 621000, China

    Xue-ting Yang

  2. The faculty Geography Resource Sciences, Sichuan Normal University, Chengdu, 610101, China

    Xiao-ping Qiu

  3. Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu, 610041, China

    Yi-ping Fang & Yun Xu

  4. College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China

    Yi-ping Fang

  5. School of Economics, Hefei University of Technology, Hefei, 230009, China

    Fu-biao Zhu

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  1. Xue-ting Yang
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Correspondence to Yi-ping Fang.

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Yang, Xt., Qiu, Xp., Fang, Yp. et al. Spatial variation of the relationship between transport accessibility and the level of economic development in Qinghai-Tibet Plateau, China. J. Mt. Sci. 16, 1883–1900 (2019). https://doi.org/10.1007/s11629-018-5369-4

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