Exploring temporal heterogeneity in an intercity travel network: A comparative study between weekdays and holidays in China

Tao LI; Jiaoe WANG; Jie HUANG; Xingchuan GAO

doi:10.1007/s11442-020-1821-9

[1] AnneA, LaurentP. Socio-occupational and geographical determinants of the frequency of long-distance business travel in France. Journal of Transport Geography, 43, 28-35(2015).

[2] ArbuésP, Ba?os JF, MayorM et al. Determinants of ground transport modal choice in long-distance trips in Spain. Transportation Research Part A: Policy and Practice, 84, 131-143(2016).

[3] Aultman-HallL, UllmanH. Long-distance and intercity travel: Who participates in global mobility?. In: Konstadinos G, Goulias, Adam W Davis (ed.). Mapping the Travel Behavior Genome. Elsevier, 187-207(2020).

[4] BuehlerR. Determinants of transport mode choice: A comparison of Germany and the USA. Journal of Transport Geography, 19, 644-657(2011).

[5] ChenW, XiuC, KeW. Hierarchical structures of China's city network from the perspective of multiple traffic flows. Geographical Research, 34, 2073-2083(2015).

[6] Dargay JM, ClarkS. The determinants of long distance travel in Great Britain. Transportation Research Part A: Policy and Practice, 46, 576-587(2012).

[7] De MontisA, ChessaA, CampagnaM. Modeling commuting systems through a complex network analysis: A study of the Italian islands of Sardinia and Sicily. Journal of Transport and Land Use, 2, 39-55(2010).

[8] De WitteA, HollevoetJ, DobruszkesF. Linking modal choice to motility: A comprehensive review. Transportation Research Part A: Policy and Practice, 49, 329-341(2013).

[9] DerudderB, LiuX, KunakaC. The connectivity of South Asian cities in infrastructure networks. Journal of Maps, 10, 47-52(2014).

[10] FengC, XieD, MaX. Functional polycentricity of the urban region in the Zhujiang River Delta based on intercity rail traffic flow. Scientia Geographica Sinica, 34, 648-655(2014).

[11] GarmendiaM, Ure?a J.M, Coronado JM. Long-distance trips in a sparsely populated region: The impact of high-speed infrastructures. Journal of Transport Geography, 19, 537-551(2011).

[12] GuimeràR, Amaral L AN. Cartography of complex networks: Modules and universal roles. Journal of Statistical Mechanics: Theory and Experiment, P02001(2005).

[13] JiaT, FengZ, XiaoQ. Activity space of regional high speed rail corridor in information era: Conceptual model and research framework. Geographical Research, 37, 1789-1801(2018).

[14] JiaoJ, Wang JE, JinF. Impact of high-speed rail on inter-city based on the passenger train network in China, 2003-2013. Acta Geographica Sinica, 71, 265-280(2016).

[15] JinC, ChengJ, XuJ. Using user-generated content to explore the temporal heterogeneity in tourist mobility. Journal of Travel Research, 57, 779-791(2018).

[16] JinF. A study on network of domestic air passenger flow in China. Geographical Research, 20, 31-39(2001).

[17] KuhnimhofT, BuehlerR, WirtzM. Travel trends among young adults in Germany: Increasing multimodality and declining car use for men. Journal of Transport Geography, 24, 443-450(2012).

[18] KuhnimhofT, ColletR, ArmoogumJ. Generating internationally comparable figures on long-distance travel for Europe. Transportation Research Record, 2105, 18-27(2009).

[19] LiJ, YeQ, DengX. Spatial-temporal analysis on spring festival travel rush in China based on multisource big data. Sustainability, 8, 1184(2016).

[20] LimtanakoolN, DijstM, SchwanenT. On the participation in medium- and long-distance travel: A decomposition analysis for the UK and the Netherlands. Tijdschrift voor Economische en Sociale Geografie, 97, 389-404(2005).

[21] LimtanakoolN, DijstM, SchwanenT. The influence of socioeconomic characteristics, land use and travel time considerations on mode choice for medium- and longer-distance trips. Journal of Transport Geography, 14, 327-341(2006).

[22] LiuW, ShiE. Spatial pattern of population daily flow among cities based on ICT: A case study of "baidu migration". Acta Geographica Sinica, 71, 1667-1679(2016).

[23] LiuY, SuiZ, KangC. Uncovering patterns of inter-urban trip and spatial interaction from social media check-in data. PLoS One, 9, e86026(2014).

[24] LuoZ. Study on the functional polycentricity of Yangtze River Delta. International Urban Planning, 25, 60-65(2010).

[25] MoeckelR, FussellR, DonnellyR. Mode choice modeling for long-distance travel. Transportation Letters, 7, 35-46(2015).

[26] NealZ. The devil is in the details: Differences in air traffic networks by scale, species, and season. Social Networks, 38, 63-73(2014).

[27] PanJ, LaiJ. Spatial pattern of population mobility among cities in China: Case study of the national day plus Mid-Autumn Festival based on Tencent migration data. Cities, 94, 55-69(2019).

[28] RosvallM, Bergstrom CT. Maps of random walks on complex networks reveal community structure. Proceedings of the National Academy of Sciences of the United States of America, 105, 1118-1123(2008).

[29] WangJ, DuD, HuangJ. Inter-city connections in China: High-speed train vs. inter-city coach. Journal of Transport Geography, 82, 102619(2020).

[30] WangJ, JinF. China’s air passenger transport: An analysis of recent trends. Eurasian Geography and Economics, 48, 469-480(2007).

[31] Wang JE, JingY. Comparison of spatial structure and organization mode of inter-city networks from the perspective of railway and air passenger flow. Acta Geographica Sinica, 72, 1508-1519(2017).

[32] WeiY, XiuC, LiuZ. Spatial pattern of city network in transitional China based on the population flows in "chunyun" period. Scientia Geographica Sinica, 36, 1654-1660(2016).

[33] XuJ, LiA, LiD. Difference of urban development in China from the perspective of passenger transport around spring festival. Applied Geography, 87, 85-96(2017).

[34] YangH, DobruszkesF, WangJ. Comparing China’s urban systems in high-speed railway and airline networks. Journal of Transport Geography, 68, 233-244(2018).

[35] YeY, HanM, ChenJ. Intercity passenger travel mode choice behavior based on trip chain. Journal of Tongji University (Natural Science), 46, 1234-1240(2018).

[36] YuanY, LuY, Chow TE. The missing parts from social media-enabled smart cities: Who, where, when, and what?. Annals of the American Association of Geographers, 110, 462-475(2020).

[37] ZhangW, DerudderB, WangJ. An analysis of the determinants of the multiplex urban networks in the Yangtze River Delta. Tijdschrift voor Economische en Sociale Geografie, 111, 117-133(2020).