留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

Transnational Economic Connection Analysis Based on Railway Class Ac-cessibility Between China and Russia

CHU Nanchen ZHANG Pingyu LI He

CHU Nanchen, ZHANG Pingyu, LI He. Transnational Economic Connection Analysis Based on Railway Class Ac-cessibility Between China and Russia[J]. 中国地理科学, 2019, 20(5): 872-886. doi: 10.1007/s11769-019-1064-9
引用本文: CHU Nanchen, ZHANG Pingyu, LI He. Transnational Economic Connection Analysis Based on Railway Class Ac-cessibility Between China and Russia[J]. 中国地理科学, 2019, 20(5): 872-886. doi: 10.1007/s11769-019-1064-9
CHU Nanchen, ZHANG Pingyu, LI He. Transnational Economic Connection Analysis Based on Railway Class Ac-cessibility Between China and Russia[J]. Chinese Geographical Science, 2019, 20(5): 872-886. doi: 10.1007/s11769-019-1064-9
Citation: CHU Nanchen, ZHANG Pingyu, LI He. Transnational Economic Connection Analysis Based on Railway Class Ac-cessibility Between China and Russia[J]. Chinese Geographical Science, 2019, 20(5): 872-886. doi: 10.1007/s11769-019-1064-9

Transnational Economic Connection Analysis Based on Railway Class Ac-cessibility Between China and Russia

doi: 10.1007/s11769-019-1064-9
基金项目: Under the auspices of National Science and Technology Basic Project of the Ministry of Science and Technology of China (No. 2017FY101303-1), National Natural Science Foundation of China (No. 41571152, 41771179), the Knowledge Innovation Program of CAS (No. ZDRW-ZS-2017-4-3-4, ZDBS-SSW-SQC)
详细信息
    通讯作者:

    ZHANG Pingyu.E-mail:zhangpy@iga.ac.cn

Transnational Economic Connection Analysis Based on Railway Class Ac-cessibility Between China and Russia

Funds: Under the auspices of National Science and Technology Basic Project of the Ministry of Science and Technology of China (No. 2017FY101303-1), National Natural Science Foundation of China (No. 41571152, 41771179), the Knowledge Innovation Program of CAS (No. ZDRW-ZS-2017-4-3-4, ZDBS-SSW-SQC)
More Information
    Corresponding author: ZHANG Pingyu.E-mail:zhangpy@iga.ac.cn
  • 摘要: Under the background of ‘the Belt and Road’ initiative, the economic cooperation has great potential between China and Russia. The railway accessibility has an important influence on the economic connections of cities along the railway line. This paper studied the Sino-Russian transnational economic connection based on the railway class accessibility along Trans-Siberian railway (the transnational China railway branch line). The results are as following. First, the railway accessibility of the Chinese nodes is stronger than that of the Russian nodes, which in general displays a tendency of space attenuation from China to the Sino-Russian border, then to Russia. Spatially, the railway accessibility within the study area shows a ‘High East, Low West’ and ‘High South, Low North’ spatial pattern. The railway accessibility of the nodes, which are located at the beginning and end of the railway line, is weaker than those nodes located in the middle of the line. Second, the railway accessibility and external economic connection intensity summation of the nodes show a positive relationship along the railway line. The economic connection intensity summation of different nodes presents obvious regional differentiation. Finally, as economic connection network has evolved, the small world effect of Sino-Russian railway economic connection network becomes strong.
  • [1] Andersson D E, Shyr O F, Fu J, 2010. Does high-speed rail ac-cessibility influence residential property prices? Hedonic es-timates from southern Taiwan. Journal of Transport Geogra-phy, 18(1):166-174. doi: 10.1016/j.jtrangeo.2008.10.012
    [2] Bruinsma F, Rietveld P, 1998. The accessibility of European cities:theoretical framework and comparison of approaches. En-vironment and Planning A:Economy and Space, 30(3):499-521. doi: 10.1068/a300499
    [3] Bunnell T, Barter P A, Morshidi S, 2002. Kuala lumpur metropol-itan area:a globalizing city-region. Cities, 19(5):357-370. doi: 10.1016/S0264-2751(02)00036-7
    [4] Chen Y, Jin F J, Lu Y Q et al., 2018. Development history and accessibility evolution of land transportation network in Bei-jing-Tianjin-Hebei region over the past century. Journal of Geographical Sciences, 28(10):1500-1518. doi: 10.1007/s11442-018-1558-x
    [5] Chu Nanchen, Zhang Pingyu, 2018. Transnational urban economic connection based on railway accessibility-taking Sino-Russian K19/K20 class train as an example. Economic Geography, 38(6):10-18. (in Chinese)
    [6] Condeço-Melhorado A, Gutiérrez J, García-Palomares J C, 2011. Spatial impacts of road pricing:accessibility, regional spillovers and territorial cohesion. Transportation Research Part A:Policy and Practice, 45(3):185-203. doi:10.1016/j.tra.2010. 12.003
    [7] Dai Teqi, Jin Fengjun, 2008. Spatial interaction and network structure evolvement of cities in terms of China's rail passenger flows. Chinese Geographical Science, 18(3):206-213. doi: 10.1007/s11769-008-0206-2
    [8] Delmelle E C, Casas I, 2012. Evaluating the spatial equity of bus rapid transit-based accessibility patterns in a developing coun-try:the case of Cali, Colombia. Transport Policy, 20:36-46. doi: 10.1016/j.tranpol.2011.12.001
    [9] Djankov S, Freund C, 2002. Trade flows in the former Soviet Union, 1987 to 1996. Journal of Comparative Economics, 30(1):76-90. doi: 10.1006/jcec.2001.1752
    [10] Dong S C, Yang Y, Li F J et al., 2018. An evaluation of the eco-nomic, social, and ecological risks of China-Mongolia-Russia high-speed railway construction and policy suggestions. Journal of Geographical Sciences, 28(7):900-918. doi: 10.1007/s11442-018-1512-y
    [11] Federal State Statistics Service (Rosstat), 2016. Russia in Figures. Moscow:Federal State Statistics Service.
    [12] Geertman S C M, van Eck J R R, 1995. GIS and models of acces-sibility potential:an application in planning. International Journal of Geographical Information Systems, 9(1):67-80. doi: 10.1080/02693799508902025
    [13] Goetz A R, 1992. Air passenger transportation and growth in the U.S. urban system, 1950-1987. Growth and Change, 23(2):217-238. doi: 10.1111/j.1468-2257.1992.tb00580.x
    [14] Gutiérrez J, González R, Gómez G, 1996. The European high-speed train network:predicted effects on accessibility patterns. Journal of Transport Geography, 4(4):227-238. doi: 10.1016/S0966-6923(96)00033-6
    [15] Gutiérrez J, Urbano P, 1996. Accessibility in the European Union:the impact of the trans-European road network. Journal of Transport Geography, 4(1):15-25. doi: 10.1016/0966-6923(95)00042-9
    [16] Gutiérrez J, 2001. Location, economic potential and daily acces-sibility:an analysis of the accessibility impact of the high-speed line Madrid-Barcelona-French border. Journal of Transport Geography, 9(4):229-242. doi: 10.1016/S0966-6923(01)00017-5
    [17] Gutiérrez J, Condeço-Melhorado A, Martín J C, 2010. Using ac-cessibility indicators and GIS to assess spatial spillovers of transport infrastructure investment. Journal of Transport Ge-ography, 18(1):141-152. doi: 10.1016/j.jtrangeo.2008.12.003
    [18] Gutiérrez J, Condeço-Melhorado A, López E et al., 2011. Evalu-ating the European added value of TEN-T projects:a method-ological proposal based on spatial spillovers, accessibility and GIS. Journal of Transport Geography, 19(4):840-850. doi: 10.1016/j.jtrangeo.2010.10.011
    [19] Hansen W G, 1959. How accessibility shapes land use. Journal of the American Institute of Planners, 25(2):73-76. doi:10. 1080/01944365908978307
    [20] Heilongjiang Province Bureau of Statistics, Survey Organization of Heilongjiang, 2016. Heilongjiang Statistical Yearbook 2016. Beijing:China Statistics Press. (in Chinese)
    [21] Jiang Haibing, Qi Yi, Li Chuanwu, 2018. China's city high-speed rail (HSR) passenger spatial linkage pattern and its influence factors. Economic Geography, 38(7):26-33. (in Chinese)
    [22] Jiao Jingjuan, Wang Jiaoe, Jin Fengjun et al., 2016. Understanding relationship between accessibility and economic Growth:a case study from China (1990-2010). Chinese Geographical Science, 26(6):803-816. doi: 10.1007/s11769-016-0831-0
    [23] Jin Fengjun, 2003. Study on development strategy of shipping centers and transportation networks in the yellow sea rim. Chinese Geographical Science, 13(2):97-103. doi: 10.1007/s11769-003-0001-z
    [24] Jin F J, Wang C J, Li X W et al., 2010. China's regional transport dominance:density, proximity, and accessibility. Journal of Geographical Sciences, 20(2):295-309. doi: 10.1007/s11442-010-0295-6
    [25] Keeble D, Owens P L, Thompson C, 1982. Regional accessibility and economic potential in the European community. Regional Studies, 16(6):419-432. doi: 10.1080/09595238200185421
    [26] Khadaroo J, Seetanah B, 2008. The role of transport infrastructure in international tourism development:a gravity model approach. Tourism Management, 29(5):831-840. doi: 10.1016/j.tourman.2007.09.005
    [27] Koopmans C, Groot W, Warffemius P et al., 2013. Measuring generalised transport costs as an indicator of accessibility changes over time. Transport Policy, 29:154-159. doi: 10.1016/j.tranpol.2013.05.005
    [28] Kwan M P, Murray A T, O'Kelly M E et al., 2003. Recent ad-vances in accessibility research:representation, methodology and applications. Journal of Geographical Systems, 5(1):129-138. doi: 10.1007/s101090300107
    [29] López E, Monzón A, Ortega E et al., 2009. Assessment of cross-border spillover effects of national transport infrastructure plans:an accessibility approach. Transport Reviews, 29(4):515-536. doi: 10.1080/01441640802627974
    [30] Li S M, Shum Y M, 2001. Impacts of the national trunk highway system on accessibility in China. Journal of Transport Geog-raphy, 9(1):39-48. doi: 10.1016/S0966-6923(00)00040-5
    [31] Linneker B, Spence N, 1996. Road transport infrastructure and regional economic development:the regional development ef-fects of the M25 London orbital motorway. Journal of Transport Geography, 4(2):77-92. doi:10.1016/0966-6923(96) 00001-4
    [32] Ma Xiaolei, Ma Yanji, 2016. The transportation accessibility and comprehensive economic levels of Chinese cities at prefecture level or above based on GIS. Journal of Arid Land Resources and Environment, 30(4):8-13. (in Chinese)
    [33] Matsumoto H, 2004. International urban systems and air passenger and cargo flows:some calculations. Journal of Air Transport Management, 10(4):239-247. doi:10.1016/j. jairtraman. 2004.02.003
    [34] Monzón A, Ortega E, López E, 2013. Efficiency and spatial equity impacts of high-speed rail extensions in urban areas. Cities, 30:18-30. doi: 10.1016/j.cities.2011.11.002
    [35] National Bureau of Statistics of China, 2016. China City Statistical Yearbook. Beijing:China Statistics Press. (in Chinese)
    [36] O'Kelly M E, 1998. A geographer's analysis of hub-and-spoke networks. Journal of Transport Geography, 6(3):171-186. doi: 10.1016/S0966-6923(98)00010-6
    [37] Richmond S, Bloom G, Di Duca M et al., 2016. Trans-Siberian Railway. Beijing:China Cartographic Publishing House, 360-374. (in Chinese)
    [38] Russon M G, Vakil F, 1995. Population, convenience and distance decay in a short-haul model of United States air transportation. Journal of Transport Geography, 3(3):179-185. doi: 10.1016/0966-6923(95)00002-K
    [39] Sasaki K, Ohashi T, Ando A, 1997. High-speed rail transit impact on regional systems:does the Shinkansen contribute to disper-sion? The Annals of Regional Science, 31(1):77-98. doi: 10.1007/s001680050040
    [40] Shen G Q, 2004. Reverse-fitting the gravity model to inter-city airline passenger flows by an algebraic simplification. Journal of Transport Geography, 12(3):219-234. doi: 10.1016/j.jtrangeo.2003.12.006
    [41] Tribby C P, Zandbergen P A, 2012. High-resolution spatio-temporal modeling of public transit accessibility. Applied Ge-ography, 34:345-355. doi:10.1016/j.apgeog.2011. 12.008
    [42] Wachs M, Kumagai T G, 1973. Physical accessibility as a social indicator. Socio-Economic Planning Sciences, 7(5):437-456. doi: 10.1016/0038-0121(73)90041-4
    [43] Wang Chengjin, Cheng Jiajia, 2016. Spatial pattern of expressway network accessibility and evolution in China. Scientia Geo-graphica Sinica, 36(6):803-812. (in Chinese)
    [44] Wang Jiechen, Wu Jiayi, Ni Jianhua et al., 2018. Relationship between urban road traffic characteristics and road grade based on a time series clustering model:a case study in Nanjing, China. Chinese Geographical Science, 28(6):1048-1060. doi: 10.1007/s11769-018-0982-2
    [45] Weidlich W, Haag G, 1999. An Integrated Model of Transport and Urban Evolution:with An Application to A Metropole of an Emerging Nation. Heidelberg:Springer. doi: 10.1007/978-3-642-60240-5
    [46] Zhu X, Liu S X, 2004. Analysis of the impact of the MRT system on accessibility in Singapore using an integrated GIS tool. Journal of Transport Geography, 12(2):89-101. doi:10. 1016/j.jtrangeo.2003.10.003
    [47] Zook M A, Brunn S D, 2005. Hierarchies, regions and legacies:european cities and global commercial passenger air travel. Journal of Contemporary European Studies, 13(2):203-220. doi: 10.1080/14782800500212459
    [48] ФЕДЕРАЛЬНАЯ СЛУЖБА ГОСУДАРСТВЕННОЙ СТАТИС ТИКИ (Росстат) (Federal Office for State Statistics), 2016. РЕГИОНЫ РОССИИ Основные характеристики субъектов Российской Федерации. Москва:Федеральная служба госу дарственной статистики.
    [49] Dai Teqi, Jin Fengjun, 2008. Spatial interaction and network structure evolvement of cities in terms of China's rail passenger flows. Chinese Geographical Science, 18(3):206-213. doi: 10.1007/s11769-008-0206-2
    [50] Delmelle E C, Casas I, 2012. Evaluating the spatial equity of bus rapid transit-based accessibility patterns in a developing coun-try:the case of Cali, Colombia. Transport Policy, 20:36-46. doi: 10.1016/j.tranpol.2011.12.001
    [51] Djankov S, Freund C, 2002. Trade flows in the former Soviet Union, 1987 to 1996. Journal of Comparative Economics, 30(1):76-90. doi: 10.1006/jcec.2001.1752
    [52] Dong S C, Yang Y, Li F J et al., 2018. An evaluation of the eco-nomic, social, and ecological risks of China-Mongolia-Russia high-speed railway construction and policy suggestions. Journal of Geographical Sciences, 28(7):900-918. doi: 10.1007/s11442-018-1512-y
    [53] Federal State Statistics Service (Rosstat), 2016. Russia in Figures. Moscow:Federal State Statistics Service.
    [54] Geertman S C M, van Eck J R R, 1995. GIS and models of acces-sibility potential:an application in planning. International Journal of Geographical Information Systems, 9(1):67-80. doi: 10.1080/02693799508902025
    [55] Goetz A R, 1992. Air passenger transportation and growth in the U.S. urban system, 1950-1987. Growth and Change, 23(2):217-238. doi: 10.1111/j.1468-2257.1992.tb00580.x
    [56] Gutiérrez J, González R, Gómez G, 1996. The European high-speed train network:predicted effects on accessibility patterns. Journal of Transport Geography, 4(4):227-238. doi: 10.1016/S0966-6923(96)00033-6
    [57] Gutiérrez J, Urbano P, 1996. Accessibility in the European Union:the impact of the trans-European road network. Journal of Transport Geography, 4(1):15-25. doi:10.1016/0966-6923 (95)00042-9
    [58] Gutiérrez J, 2001. Location, economic potential and daily acces-sibility:an analysis of the accessibility impact of the high-speed line Madrid- Barcelona-French border. Journal of Transport Geography, 9(4):229-242. doi:10.1016/S0966- 6923(01)00017-5
    [59] Gutiérrez J, Condeço-Melhorado A, Martín J C, 2010. Using ac-cessibility indicators and GIS to assess spatial spillovers of transport infrastructure investment. Journal of Transport Ge-ography, 18(1):141-152. doi: 10.1016/j.jtrangeo.2008.12.003
    [60] Gutiérrez J, Condeço-Melhorado A, López E et al., 2011. Evalu-ating the European added value of TEN-T projects:a method-ological proposal based on spatial spillovers, accessibility and GIS. Journal of Transport Geography, 19(4):840-850. doi: 10.1016/j.jtrangeo.2010.10.011
    [61] Hansen W G, 1959. How accessibility shapes land use. Journal of the American Institute of Planners, 25(2):73-76. doi:10. 1080/01944365908978307
    [62] Heilongjiang Province Bureau of Statistics, Survey Organization of Heilongjiang, 2016. Heilongjiang Statistical Yearbook 2016. Beijing:China Statistics Press. (in Chinese)
    [63] Jiang Haibing, Qi Yi, Li Chuanwu, 2018. China's city high-speed rail (HSR) passenger spatial linkage pattern and its influence factors. Economic Geography, 38(7):26-33. (in Chinese)
    [64] Jiao Jingjuan, Wang Jiaoe, Jin Fengjun et al., 2016. Understanding relationship between accessibility and economic Growth:a case study from China (1990-2010). Chinese Geographical Science, 26(6):803-816. doi: 10.1007/s11769-016-0831-0
    [65] Jin Fengjun, 2003. Study on development strategy of shipping centers and transportation networks in the yellow sea rim. Chinese Geographical Science, 13(2):97-103. doi: 10.1007/s11769-003-0001-z
    [66] Jin F J, Wang C J, Li X W et al., 2010. China's regional transport dominance:density, proximity, and accessibility. Journal of Geographical Sciences, 20(2):295-309. doi: 10.1007/s11442-010-0295-6
    [67] Keeble D, Owens P L, Thompson C, 1982. Regional accessibility and economic potential in the European community. Regional Studies, 16(6):419-432. doi: 10.1080/09595238200185421
    [68] Khadaroo J, Seetanah B, 2008. The role of transport infrastructure in international tourism development:a gravity model approach. Tourism Management, 29(5):831-840. doi: 10.1016/j.tourman.2007.09.005
    [69] Koopmans C, Groot W, Warffemius P et al., 2013. Measuring generalised transport costs as an indicator of accessibility changes over time. Transport Policy, 29:154-159. doi: 10.1016/j.tranpol.2013.05.005
    [70] Kwan M P, Murray A T, O'Kelly M E et al., 2003. Recent ad-vances in accessibility research:representation, methodology and applications. Journal of Geographical Systems, 5(1):129-138. doi: 10.1007/s101090300107
    [71] López E, Monzón A, Ortega E et al., 2009. Assessment of cross-border spillover effects of national transport infrastructure plans:an accessibility approach. Transport Reviews, 29(4):515-536. doi: 10.1080/01441640802627974
    [72] Li S M, Shum Y M, 2001. Impacts of the national trunk highway system on accessibility in China. Journal of Transport Geog-raphy, 9(1):39-48. doi: 10.1016/S0966-6923(00)00040-5
    [73] Linneker B, Spence N, 1996. Road transport infrastructure and regional economic development:the regional development ef-fects of the M25 London orbital motorway. Journal of Transport Geography, 4(2):77-92. doi:10.1016/0966-6923(96) 00001-4
    [74] Ma Xiaolei, Ma Yanji, 2016. The transportation accessibility and comprehensive economic levels of Chinese cities at prefecture level or above based on GIS. Journal of Arid Land Resources and Environment, 30(4):8-13. (in Chinese)
    [75] Matsumoto H, 2004. International urban systems and air passenger and cargo flows:some calculations. Journal of Air Transport Management, 10(4):239-247. doi:10.1016/j. jairtraman. 2004.02.003
    [76] Monzón A, Ortega E, López E, 2013. Efficiency and spatial equity impacts of high-speed rail extensions in urban areas. Cities, 30:18-30. doi: 10.1016/j.cities.2011.11.002
    [77] National Bureau of Statistics of China, 2016. China City Statistical Yearbook. Beijing:China Statistics Press. (in Chinese)
    [78] O'Kelly M E, 1998. A geographer's analysis of hub-and-spoke networks. Journal of Transport Geography, 6(3):171-186. doi: 10.1016/S0966-6923(98)00010-6
    [79] Richmond S, Bloom G, Di Duca M et al., 2016. Trans-Siberian Railway. Beijing:China Cartographic Publishing House, 360-374. (in Chinese)
    [80] Russon M G, Vakil F, 1995. Population, convenience and distance decay in a short-haul model of United States air transportation. Journal of Transport Geography, 3(3):179-185. doi: 10.1016/0966-6923(95)00002-K
    [81] Sasaki K, Ohashi T, Ando A, 1997. High-speed rail transit impact on regional systems:does the Shinkansen contribute to disper-sion? The Annals of Regional Science, 31(1):77-98. doi: 10.1007/s001680050040
    [82] Shen G Q, 2004. Reverse-fitting the gravity model to inter-city airline passenger flows by an algebraic simplification. Journal of Transport Geography, 12(3):219-234. doi: 10.1016/j.jtrangeo.2003.12.006
    [83] Tribby C P, Zandbergen P A, 2012. High-resolution spatio- temporal modeling of public transit accessibility. Applied Ge-ography, 34:345-355. doi:10.1016/j.apgeog.2011. 12.008
    [84] Wachs M, Kumagai T G, 1973. Physical accessibility as a social indicator. Socio-Economic Planning Sciences, 7(5):437-456. doi: 10.1016/0038-0121(73)90041-4
    [85] Wang Chengjin, Cheng Jiajia, 2016. Spatial pattern of expressway network accessibility and evolution in China. Scientia Geo-graphica Sinica, 36(6):803-812. (in Chinese)
    [86] Wang Jiechen, Wu Jiayi, Ni Jianhua et al., 2018. Relationship between urban road traffic characteristics and road grade based on a time series clustering model:a case study in Nanjing, China. Chinese Geographical Science, 28(6):1048-1060. doi: 10.1007/s11769-018-0982-2
    [87] Weidlich W, Haag G, 1999. An Integrated Model of Transport and Urban Evolution:with An Application to A Metropole of an Emerging Nation. Heidelberg:Springer. doi:10.1007/978- 3-642-60240-5
    [88] Zhu X, Liu S X, 2004. Analysis of the impact of the MRT system on accessibility in Singapore using an integrated GIS tool. Journal of Transport Geography, 12(2):89-101. doi:10. 1016/j.jtrangeo.2003.10.003
    [89] Zook M A, Brunn S D, 2005. Hierarchies, regions and legacies:european cities and global commercial passenger air travel. Journal of Contemporary European Studies, 13(2):203-220. doi: 10.1080/14782800500212459
    [90] ФЕДЕРАЛЬНАЯ СЛУЖБА ГОСУДАРСТВЕННОЙ СТАТИС ТИКИ (Росстат) (Federal Office for State Statistics), 2016. РЕГИОНЫ РОССИИ Основные характеристики субъектов Российской Федерации. Москва:Федеральная служба госу дарственной статистики.
    [91]  
  • [1] Chaoxue SONG, Xiaoling LI, Hongshi HE, SUNDE Michael.  Centennial Analysis of Human Activity Intensity and Associated Historical Events in Heilongjiang River Sino-Russo Watershed . Chinese Geographical Science, 2024, 34(2): 280-293. doi: 10.1007/s11769-023-1401-x
    [2] Le CHEN, Meijun XI, Wanfu JIN, Ya HU.  Spatial Pattern of Long-term Residence in the Urban Floating Population of China and its Influencing Factors . Chinese Geographical Science, 2021, 31(2): 342-358. doi: 10.1007/s11769-021-1193-9
    [3] LIU Yuanxin, LYU Yihe, BAI Yingfei, ZHANG Buyun, TONG Xiaolin.  Vegetation Mapping for Regional Ecological Research and Management: A Case of the Loess Plateau in China . Chinese Geographical Science, 2020, 30(3): 410-426. doi: 10.1007/s11769-020-1120-5
    [4] HUANG Qinshi, ZHU Xigang, LIU Chunhui, WU Wei, LIU Fengbao, ZHANG Xinyi.  Spatial-temporal Evolution and Determinants of the Belt and Road Ini-tiative: A Maximum Entropy Gravity Model Approach . Chinese Geographical Science, 2020, 30(5): 839-854. doi: 10.1007/s11769-020-1144-x
    [5] TONG Huali, SHI Peiji, LUO Jun, LIU Xiaoxiao.  The Structure and Pattern of Urban Network in the Lanzhou-Xining Urban Agglomeration . Chinese Geographical Science, 2020, 30(1): 59-74. doi: 10.1007/s11769-019-1090-7
    [6] DU Yan, QIN Weishan, SUN Jianfeng, WANG Xiaohui, GU Haoxin.  Spatial Pattern and Influencing Factors of Regional Ecological Civilisa-tion Construction in China . Chinese Geographical Science, 2020, 30(5): 776-790. doi: 10.1007/s11769-020-1145-9
    [7] NAN Ying, WANG Bingbing, ZHANG Da, LIU Zhifeng, QI Dekang, ZHOU Haohao.  Spatial Patterns of LULC and Driving Forces in the Transnational Area of Tumen River: A Comparative Analysis of the Sub-regions of China, the DPRK, and Russia . Chinese Geographical Science, 2020, 30(4): 588-599. doi: 10.1007/s11769-020-1136-x
    [8] YANG Zhen, ZHANG Xiaolei, LEI Jun, DUAN Zuliang, LI Jiangang.  Spatio-temporal Pattern Characteristics of Relationship Between Ur-banization and Economic Development at County Level in China . Chinese Geographical Science, 2019, 20(4): 553-567. doi: 10.1007/s11769-019-1053-z
    [9] LI Fujia, LIU Qian, DONG Suocheng, CHENG Hao, LI Yu, YANG Yang, TSYDYPOV Bair, BILGAEV Alexey, AYURZHANAEV Alexander, BU Xiaoyan, XIA Bing.  Investment Environment Assessment and Strategic Policy for Subjects of Federation in Russia . Chinese Geographical Science, 2019, 20(5): 887-904. doi: 10.1007/s11769-019-1051-1
    [10] XUE Shuyan, LI Gang, YANG Lan, LIU Ling, NIE Qifan, Muhammad Sajid MEHMOOD.  Spatial Pattern and Influencing Factor Analysis of Attended Collection and Delivery Points in Changsha City, China . Chinese Geographical Science, 2019, 29(6): 1078-1094. doi: 10.1007/s11769-019-1086-3
    [11] QIAO Xuning, GU Yangyang, ZOU Changxin, WANG Lei, LUO Juhua, HUANG Xianfeng.  Trade-offs and Synergies of Ecosystem Services in the Taihu Lake Basin of China . Chinese Geographical Science, 2018, 28(1): 86-99. doi: 10.1007/s11769-018-0933-y
    [12] LIU Daqian, LO Kevin, SONG Wei, XIE Chunyan.  Spatial Patterns of Car Sales and Their Socio-economic Attributes in China . Chinese Geographical Science, 2017, 27(5): 684-696. doi: 10.1007/s11769-017-0902-x
    [13] JU Hongrun, ZHANG Zengxiang, WEN Qingke, WANG Jiao, ZHONG Lijin, ZUO Lijun.  Spatial Patterns of Irrigation Water Withdrawals in China and Implications for Water Saving . Chinese Geographical Science, 2017, 27(3): 362-373. doi: 10.1007/s11769-017-0871-0
    [14] JIAO Jingjuan, WANG Jiaoe, JIN Fengjun, DU Chao.  Understanding Relationship Between Accessibility and Economic Growth: A Case Study from China (1990-2010) . Chinese Geographical Science, 2016, 26(6): 803-816. doi: 10.1007/s11769-016-0831-0
    [15] DI Xianghong, HOU Xiyong, WANG Yuandong, WU Li.  Spatial-temporal Characteristics of Land Use Intensity of Coastal Zone in China During 2000-2010 . Chinese Geographical Science, 2015, 25(1): 51-61. doi: 10.1007/s11769-014-0707-0
    [16] XIE Miaomiao, WANG Yanglin, FU Meichen, ZHANG Dingxuan.  Pattern Dynamics of Thermal-environment Effect During Urbanization: A Case Study in Shenzhen City, China . Chinese Geographical Science, 2013, 23(1): 101-112.
    [17] MA Xiaodong, QIU Fangdao, LI Quanlin, SHAN Yongbin, CAO Yong.  Spatial Pattern and Regional Types of Rural Settlements in Xuzhou City, Jiangsu Province, China . Chinese Geographical Science, 2013, 23(4): 482-491. doi: 10.1007/s11769-013-0615-8
    [18] DAI Junliang, WANG Kaiyong, GAO Xiaolu.  Spatial Structure and Land Use Control in Extended Metropolitan Region of Zhujiang River Delta, China . Chinese Geographical Science, 2010, 20(4): 298-308. doi: 10.1007/s11769-010-0402-8
    [19] KONG Fan-hua, Nobukazu NAKAGOSHI, YIN Hai-wei, Akira KIKUCHI.  SPATIAL GRADIENT ANALYSIS OF URBAN GREEN SPACES COMBINED WITH LANDSCAPE METRICS IN JINAN CITY OF CHINA . Chinese Geographical Science, 2005, 15(3): 254-261.
    [20] LIU Ji-yuan, DENG Xiang-zheng, LIU Ming-liang, ZHANG Shu-wen.  STUDY ON THE SPATIAL PATTERNS OF LAND—USE CHANGE AND ANALYSES OF DRIVING FORCES IN NORTHEASTERN CHINA DURING 1990-2000 . Chinese Geographical Science, 2002, 12(4): 299-308.
  • 加载中
计量
  • 文章访问数:  228
  • HTML全文浏览量:  12
  • PDF下载量:  223
  • 被引次数: 0
出版历程
  • 收稿日期:  2018-09-10
  • 修回日期:  2019-01-04
  • 刊出日期:  2019-10-01

Transnational Economic Connection Analysis Based on Railway Class Ac-cessibility Between China and Russia

doi: 10.1007/s11769-019-1064-9
    基金项目:  Under the auspices of National Science and Technology Basic Project of the Ministry of Science and Technology of China (No. 2017FY101303-1), National Natural Science Foundation of China (No. 41571152, 41771179), the Knowledge Innovation Program of CAS (No. ZDRW-ZS-2017-4-3-4, ZDBS-SSW-SQC)
    通讯作者: ZHANG Pingyu.E-mail:zhangpy@iga.ac.cn

摘要: Under the background of ‘the Belt and Road’ initiative, the economic cooperation has great potential between China and Russia. The railway accessibility has an important influence on the economic connections of cities along the railway line. This paper studied the Sino-Russian transnational economic connection based on the railway class accessibility along Trans-Siberian railway (the transnational China railway branch line). The results are as following. First, the railway accessibility of the Chinese nodes is stronger than that of the Russian nodes, which in general displays a tendency of space attenuation from China to the Sino-Russian border, then to Russia. Spatially, the railway accessibility within the study area shows a ‘High East, Low West’ and ‘High South, Low North’ spatial pattern. The railway accessibility of the nodes, which are located at the beginning and end of the railway line, is weaker than those nodes located in the middle of the line. Second, the railway accessibility and external economic connection intensity summation of the nodes show a positive relationship along the railway line. The economic connection intensity summation of different nodes presents obvious regional differentiation. Finally, as economic connection network has evolved, the small world effect of Sino-Russian railway economic connection network becomes strong.

English Abstract

CHU Nanchen, ZHANG Pingyu, LI He. Transnational Economic Connection Analysis Based on Railway Class Ac-cessibility Between China and Russia[J]. 中国地理科学, 2019, 20(5): 872-886. doi: 10.1007/s11769-019-1064-9
引用本文: CHU Nanchen, ZHANG Pingyu, LI He. Transnational Economic Connection Analysis Based on Railway Class Ac-cessibility Between China and Russia[J]. 中国地理科学, 2019, 20(5): 872-886. doi: 10.1007/s11769-019-1064-9
CHU Nanchen, ZHANG Pingyu, LI He. Transnational Economic Connection Analysis Based on Railway Class Ac-cessibility Between China and Russia[J]. Chinese Geographical Science, 2019, 20(5): 872-886. doi: 10.1007/s11769-019-1064-9
Citation: CHU Nanchen, ZHANG Pingyu, LI He. Transnational Economic Connection Analysis Based on Railway Class Ac-cessibility Between China and Russia[J]. Chinese Geographical Science, 2019, 20(5): 872-886. doi: 10.1007/s11769-019-1064-9
参考文献 (91)

目录

    /

    返回文章
    返回