This study investigates the impact of high-speed rail (HSR) on athlete mobility, sport event management, and regional economic development, particularly in the context of major international sporting events. The research aims to address the role of HSR in improving accessibility, reducing travel times, and supporting efficient logistics for athletes, event staff, and spectators. This study employs a systematic literature review (SLR) methodology, using data from Scopus, to synthesize existing research. The review process involved screening 962 documents, resulting in the analysis of 71 relevant articles. The study follows PRISMA and SPAR-4-SLR guidelines to ensure methodological rigor and transparency in selecting and analyzing studies. The study highlights both the positive contributions of HSR, including enhanced mobility and economic benefits for host cities, as well as the challenges posed by spatial imbalances in infrastructure development. While HSR facilitates improved connectivity and contributes to the economic growth of metropolitan areas, smaller cities and peripheral regions often face marginalization in terms of economic opportunities and event participation. The findings suggest that although HSR significantly enhances event logistics, there is a pressing need for more inclusive infrastructure planning to ensure equitable access to these benefits. Additionally, the study underscores the environmental sustainability of HSR systems as an alternative to more carbon-intensive transport modes. Overall, this research provides insights into how HSR can be leveraged to improve the management of international sporting events and contribute to long-term urban and regional development while also addressing the existing disparities in accessibility and economic development across regions.

1. Liu L, Chen L. Research on the impact of Chengdu-Chongqing high-speed railway on tourism economic connection of cities along the line. In: Proceedings of the 6th International Conference on Economics, Management, Law and Education (EMLE 2020); 29–30 October 2020; Krasnodar, Russia.
2. Pagliara F, Hayashi Y, Ram KS. High-Speed Rail, Equity and Inclusion. Sustainability. 2022; 14(11): 6710. doi: 10.3390/su14116710
3. Li M, Shao B, Shi X. Impact of High-Speed Rail on the Development Efficiency of Low-Carbon Tourism: A Case Study of an Agglomeration in China. Sustainability. 2022; 14(16): 9879. doi: 10.3390/su14169879
4. Chi J, Lei Y. High-speed Rail and China’s Economic Growth. In: Proceedings of the 4th International Conference on Economic Management and Model Engineering (ICEMME 2022); 18–20 November 2022; Nanjing, China.
5. Wang S, Zhou H, Hua G. Is the High-Speed Rail Opening Environmentally Friendly? Taking the Difference-in-Differences Test in Jiangsu, China. Complexity. 2020; 2020: 1-11. doi: 10.1155/2020/7154076
6. Chen H, Zhu T, Zhao L. High-Speed Railway Opening, Industrial Symbiotic Agglomeration and Green Sustainable Development—Empirical Evidence from China. Sustainability. 2024; 16(5): 2070. doi: 10.3390/su16052070
7. Poignard M, Guilhem G, de Larochelambert Q, et al. The Impact of Recovery Practices Adopted by Professional Tennis Players on Fatigue Markers According to Training Type Clusters. Frontiers in Sports and Active Living. 2020; 2. doi: 10.3389/fspor.2020.00109
8. Pahrudin P, Wang CC, Liu LW, et al. Do Satisfied Visitors Intend to Revisit a Large Sports Event? A Case Study of a Large Sports Event In Indonesia. Physical Culture and Sport Studies and Research. 2024; 105(1): 24-41. doi: 10.2478/pcssr-2024-0022
9. Messina G, Francavilla VC, Giustino V, et al. Use of nutritional supplement to improve performance in professional soccer players: A case report. Journal of Human Sport and Exercise-2020-Winter Conferences of Sports Science. 2020. doi: 10.14198/jhse.2020.15.proc2.20
10. Abdulla SAM, Khalifa GSA, Abuelhassan AE, Ghosh A. Antecedents of Dubai Revisit Intention: The Role of Destination Service Quality and Tourist Satisfaction. Restaurant Business. 2019; 118(10): 307-316. doi: 10.26643/rb.v118i10.9326
11. Smith CM, Moore F, Drezner JA, et al. Resuscitation on the field of play: a best-practice guideline from Resuscitation Council UK. British Journal of Sports Medicine. 2024; 58(19): 1098-1106. doi: 10.1136/bjsports-2024-108440
12. Bonoy L, Mbame JP, André H, et al. Physical performance, haematological and behavioural parameters of five mineral water in rats. Scientific Journal of Sport and Performance. 2022; 2(1): 1-8. doi: 10.55860/rmek4399
13. Faiss R, Rapillard A. Repeated Sprint Training in Hypoxia: Case Report of Performance Benefits in a Professional Cyclist. Frontiers in Sports and Active Living. 2020; 2. doi: 10.3389/fspor.2020.00035
14. Hartono S, Widodo A, Wismanadi H, & Hikmatyar G. The effects of roller massage, massage, and ice bath on lactate removal and delayed onset muscle soreness. Sport Mont. 2019; 17(2): 1-9. doi: 10.26773/smj.190620
15. Granero-Gallegos A, González-Quílez A, Plews D, et al. HRV-Based Training for Improving VO2max in Endurance Athletes. A Systematic Review with Meta-Analysis. International Journal of Environmental Research and Public Health. 2020; 17(21): 7999. doi: 10.3390/ijerph17217999
16. Chiron F, Erblang M, Gulören B, et al. Exploring the Influence of Acid-Base Status on Athletic Performance during Simulated Three-Day 400 m Race. Nutrients. 2024; 16(13): 1987. doi: 10.3390/nu16131987
17. Yang Y, Wang L, Su S, et al. Inertial Sensor Estimation of Initial and Terminal Contact during In-Field Running. Sensors. 2022; 22(13): 4812. doi: 10.3390/s22134812
18. Lomazzi M. Nutrition for European Elite Fencers: A Practical Tool for Coaches and Athletes. Nutrients. 2024; 16(8): 1104. doi: 10.3390/nu16081104
19. Oliver A, Driller M. The Use of Upper-Body Intermittent Sequential Pneumatic Compression Arm Sleeves on Recovery From Exercise in Wheelchair Athletes. American Journal of Physical Medicine & Rehabilitation. 2020; 100(1): 65-71. doi: 10.1097/phm.0000000000001521
20. Appel M, Zentgraf K, Krüger K, et al. Effects of Genetic Variation on Endurance Performance, Muscle Strength, and Injury Susceptibility in Sports: A Systematic Review. Frontiers in Physiology. 2021; 12. doi: 10.3389/fphys.2021.694411
21. Luera D, Snarr RL, Posson S, et al. Transient Ischemic Attack in a 22-Year-Old NCAA Division I Baseball Athlete: A Case Study. Journal of Sport Rehabilitation. 2024; 33(1): 40-44. doi: 10.1123/jsr.2023-0153
22. Peng Y, Zhang Z, He L, et al. NMR spectroscopy for metabolomics in the living system: recent progress and future challenges. Analytical and Bioanalytical Chemistry. 2024; 416(9): 2319-2334. doi: 10.1007/s00216-024-05137-8
23. Yang WH, Park H, Grau M, et al. Decreased Blood Glucose and Lactate: Is a Useful Indicator of Recovery Ability in Athletes? International Journal of Environmental Research and Public Health. 2020; 17(15): 5470. doi: 10.3390/ijerph17155470
24. Rump-Dierig I, Jensen KC, Liedtke AM, et al. Self-Report Measurement by the Rider to Monitor Their Horses’ Adaptive Response to Training and Competition in Eventing. Available online: https://www.preprints.org/manuscript/202404.0746 (accessed on 6 December 2024).
25. Loureiro LMR, dos Santos Neto E, Molina GE, et al. Coffee Increases Post-Exercise Muscle Glycogen Recovery in Endurance Athletes: A Randomized Clinical Trial. Nutrients. 2021; 13(10): 3335. doi: 10.3390/nu13103335
26. Stefanska O, Rudnicki J, et al. Effect of Nitrates supplementation on Muscle Hypertrophy and Athletic Performance: A Narrative Review. Tanjungpura Journal of Coaching Research. 2024; 2(2): 60-70. doi: 10.26418/tajor.v2i2.78859
27. Hauser LL, Harwood CG, Höner O, et al. Talent development environments within sports: a scoping review examining functional and dysfunctional environmental features. International Review of Sport and Exercise Psychology. 2022; 17(2): 1105-1131. doi: 10.1080/1750984x.2022.2129423
28. Okudaira M, Kuki S, Yoshida T, et al. Load Characteristics of Sprint Interval Training According to 400m Running Performance: Competitive Level Comparison. International Journal of Sport and Health Science. 2019; 17(0): 148-154. doi: 10.5432/ijshs.201833
29. Norberto MS, Arruda TBD, Andrade VLD, et al. Effects Of Acute Metformin Intake On Physiological Parameters And Performance Before, During And After High-intensity Interval Training Of Swimmers. Available online: https://doi.org/10.21203/rs.3.rs-34695/v1 (accessed on 6 December 2024).
30. You W, Henneberg R, Saniotis A, et al. Total Meat Intake is Associated with Life Expectancy: A Cross-Sectional Data Analysis of 175 Contemporary Populations. International Journal of General Medicine. 2022; Volume 15: 1833-1851. doi: 10.2147/ijgm.s333004
31. Parstorfer M, Poschet G, Kronsteiner D, et al. Targeted Metabolomics in High Performance Sports: Differences between the Resting Metabolic Profile of Endurance- and Strength-Trained Athletes in Comparison with Sedentary Subjects over the Course of a Training Year. Metabolites. 2023; 13(7): 833. doi: 10.3390/metabo13070833
32. Chang SC, Adami A, Lin HC, et al. Relationship between maximal incremental and high-intensity interval exercise performance in elite athletes. PLOS ONE. 2019. doi: 10.1101/856237
33. Yang J, Guo A, Li X, et al. Study of the Impact of a High-Speed Railway Opening on China’s Accessibility Pattern and Spatial Equality. Sustainability. 2018; 10(8): 2943. doi: 10.3390/su10082943
34. O'Dea RE, Lagisz M, Jennions MD, et al. Preferred reporting items for systematic reviews and meta-analyses in ecology and evolutionary biology: a PRISMA extension. Biol Rev. 2021;96(5):1695-1722. doi: https://doi.org/10.1111/brv.12721
35. Belle AB, Zhao Y. Evidence-based decision-making: On the use of systematicity cases to check the compliance of reviews with reporting guidelines such as PRISMA 2020. Expert Syst Appl. 2023; 217: 119569. doi: 10.1016/j.eswa.2023.119569.
36. Liao W, Wang H, Xu J. The Spatial Structure Characteristic and Road Traffic Accessibility Evaluation of A-Level Tourist Attractions within Wuhan Urban Agglomeration in China. 3C Tecnología_Glosas de innovación aplicadas a la pyme. 2023; 12(2): 388-409. doi: 10.17993/3ctecno.2023.v12n3e45.388-409
37. Görçün ÖF. Impacts of high speed trains on tourism development: A case study of Ankara-Konya high speed rail lines. Journal of Tourism Theory and Research. 2018: 21-28. doi: 10.24288/jttr.369916
38. Huang C, Zhu H, Su M. Transportation infrastructure and economic growth: Evidence from “new nighttime light data” in the Yangtze River Delta. PLOS ONE. 2024; 19(8): e0306477. doi: 10.1371/journal.pone.0306477
39. Lei X, Zhao X, Li R, et al. Research on Big Data and Urban Agglomeration Development in High-Speed Railway. E3S Web of Conferences. 2024; 512: 01006. doi: 10.1051/e3sconf/202451201006
40. Chi F, Han H. The Impact of High-Speed Rail on Economic Development: A County-Level Analysis. Land. 2023; 12(4): 874. doi: 10.3390/land12040874
41. Fang C, Chu Y, Fu H, et al. On the resilience assessment of complementary transportation networks under natural hazards. Transportation Research Part D: Transport and Environment. 2022; 109: 103331. doi: 10.1016/j.trd.2022.103331
42. Yuan X, Guo L, Ye K. A study on small-world characteristics of china’s high-speed railway networks. Modular and Offsite Construction (Moc) Summit Proceedings. 2016. doi: 10.29173/mocs29
43. Bo Z, Ningqiao L. The impact of high-speed trains on regional tourism economies. Tourism Economics. 2017; 24(2): 187-203. doi: 10.1177/1354816617749346
44. Fu Y. Research on the Impact of the Opening of High Speed Rail on the Transformation of Urban Industrial Structure in China. Frontiers in Humanities and Social Sciences. 2024; 4(1): 355-366. doi: 10.54691/w91y8q87
45. Guirao B, Campa JL, López-Lambas ME. The Assessment of the HSR Impacts on Spanish Tourism: An Approach Based on Multivariate Panel Data Analysis. Transportation Research Procedia. 2016; 18: 197-204. doi: 10.1016/j.trpro.2016.12.027
46. Azarian M, Yu H, Shiferaw AT, et al. Do we perform systematic literature review right? A scientific mapping and methodological assessment. Logistics. 2023;7(4):89. doi: 10.3390/logistics7040089.
47. Vázquez Varela C, Martínez Navarro JM. High-speed railway and tourism: is there an impact on intermediate cities? evidence from two case studies in castilla-la mancha (Spain). Journal of Urban and Regional Analysis. 2020; 8(2). doi: 10.37043/jura.2016.8.2.3
48. Hiramatsu T. Increase in Inbound Tourists and Long-Term Decline of Rural Economy in Japan: A Multi-Regional Computable General Equilibrium Analysis. Review of Regional Studies. 2023; 53(1). doi: 10.52324/001c.74890
49. Tang J, Cai C, Liu Y, et al. Can Tourism Development Help Improve Urban Liveability? An Examination of the Chinese Case. Sustainability. 2022; 14(18): 11427. doi: 10.3390/su141811427
50. Xu Q, Cheng X, Zhao H. Does the selection of high-quality scenic spots promote the growth of tourism economy? evidence from China’s 5A-rated tourist attractions. PLOS ONE. 2024; 19(6): e0304108. doi: 10.1371/journal.pone.0304108
51. Seyfi S, Hall CM, Vo-Thanh T. Tourism, peace and sustainability in sanctions-ridden destinations. Peace Through Tourism. 2022: 43-62. doi: 10.4324/9781003299578-4
52. Yin P, Pagliara F, Wilson A. How Does High-Speed Rail Affect Tourism? A Case Study of the Capital Region of China. Sustainability. 2019; 11(2): 472. doi: 10.3390/su11020472
53. Karim R, Muhammad F, Ullah K. China-Pakistan economic corridor and climate change: the mediation role of tourism development. Pakistan Social Sciences Review. 2020; 4(III): 195-208. doi: 10.35484/pssr.2020(4-iii)15
54. Li G, Hu Y. A study on the impact of high-speed rail opening on the development of tourism in chengdu based on the gray prediction model. In: Proceedings of the 2022 International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID 2022). pp. 71-77.
55. He Y, Sherbinin AD, Shi G, et al. The economic spatial structure evolution of urban agglomeration under the impact of high-speed rail construction: Is there a difference between developed and developing regions? Land. 2022;11(9):1551. doi: 10.3390/land11091551
56. Ge J. Research on the Impact of High-speed Railway on the Industrial Structure Change and Carbon Emission of Chengdu-Chongqing Urban Agglomeration. E3S Web of Conferences. 2021; 275: 02001. doi: 10.1051/e3sconf/202127502001
57. Narayanaswami S, Rangaraj N. Scheduling and rescheduling of railway operations: A review and expository analysis. Technol Oper Manag. 2011; 2: 102-122. doi: 10.1007/s13727-012-0006-x.
58. Levy S, Faulkner AA, Sussman JM. Challenges and Opportunities in Implementation of Future California Rail Network. Transportation Research Record: Journal of the Transportation Research Board. 2016; 2546(1): 69-77. doi: 10.3141/2546-09
59. Lingegård S, Olsson JA, Kadefors A, et al. Sustainable public procurement in large infrastructure projects—Policy implementation for carbon emission reductions. Sustainability. 2021;13(20):11182. doi: 10.3390/su132011182.
60. Sun Y, Liu M, Hao S, et al. Investment risk assessment of social capital in urban rail transit Public-Private Partnership projects. J Asian Archit Build Eng. 2025;24(1):298-316. doi: 10.1080/13467581.2023.2287716.
61. Wong Z, Chen A, Shen C, et al. Fiscal policy and the development of green transportation infrastructure: the case of China’s high-speed railways. Economic Change and Restructuring. 2022; 55(4): 2179-2213. doi: 10.1007/s10644-021-09381-1
62. Wang L, Zhao F, Zhang G. Analysis on the Impact of Large‐Scale Sports Events on Regional Economy Based on SWOT‐PEST Model. Chen M, ed. Journal of Mathematics. 2022; 2022(1). doi: 10.1155/2022/7769128
63. Xiang C, Wenting D, Tengku Kamalden TF, et al. The role of sports mega-events in the sustainable development of cities: a systematic review. Malaysian Journal of Sport Science and Recreation. 2023; 19(1): 16-36. doi: 10.24191/mjssr.v19i1.21727
64. Rookwood J. Diversifying the fan experience and securitising crowd management: a longitudinal analysis of fan park facilities at 15 football mega events between 2002 and 2019. Managing Sport and Leisure. 2021; 29(1): 37-55. doi: 10.1080/23750472.2021.1985596
65. Zhang Y, Zhao X, Shen J, et al. Optimization of Sports Event Management System Based on Wireless Sensor Network. Journal of Sensors. 2021; 2021(1). doi: 10.1155/2021/1174351
66. Crespo Hervás J, Prado-Gascó V, González-Serrano MH. Perceived Value in Sporting Events (PVSP): A Further Step for the Strategic Management. Sustainability. 2020; 12(14): 5498. doi: 10.3390/su12145498
67. Rookwood J. From sport-for-development to sports mega-events: conflict, authoritarian modernisation and statecraft in Azerbaijan. In: Ludvigsen JAL, Rookwood J, Parnell D (editors). The Sport Mega-Events of the 2020s, 1st ed. Routledge; 2023. pp. 143-162.
68. Thomson A, Toohey K, Darcy S. The Political Economy of Mass Sport Participation Legacies From Large-Scale Sport Events: A Conceptual Paper. Journal of Sport Management. 2021; 35(4): 352-363. doi: 10.1123/jsm.2019-0166
69. Byers T, Hayday E, Pappous A (Sakis). A new conceptualization of mega sports event legacy delivery: Wicked problems and critical realist solution. Sport Management Review. 2020; 23(2): 171-182. doi: 10.1016/j.smr.2019.04.001
70. Zdravkov I, Dochevska YP. The main risks and threats related to the organization and conduct of sporting events. In: Proceedings of International Scientific Congress “Applied Sports Sciences”. pp. 359-365.
71. Furiak IK, Buganová DIK. Opportunities to Increase the Resilience of Sports Organisations Through Risk Management. Journal of Electrical Systems. 2024; 20(4s): 1696-1704. doi: 10.52783/jes.2232
72. Horne J. Sports mega-events—three sites of contemporary political contestation. In: Harris J, Skillen F, McDowell M (editors). Major Sporting Events, 1st ed. Routledge; 2018. pp. 4-16.
73. Rahman GR, Jasani GN, Liang SY. Terrorist Attacks against Sports Venues: Emerging Trends and Characteristics Spanning 50 Years. Prehospital and Disaster Medicine. 2023; 38(3): 366-370. doi: 10.1017/s1049023x23000377
74. Hofmannová A. Security threats for Europe and summer Olympic games in Paris 2024. World Journal of Advanced Research and Reviews. 2024; 21(3): 1519-1525. doi: 10.30574/wjarr.2024.21.3.0860
75. Rabea A. Bahraini uprising of 2011: The (No More) hidden political role of sports journalism. International Review for the Sociology of Sport. 2021; 57(7): 1044-1060. doi: 10.1177/10126902211052833
76. Knott B, Tinaz C. The Legacy of Sport Events for Emerging Nations. Frontiers in Sports and Active Living. 2022; 4. doi: 10.3389/fspor.2022.926334
77. Frandsen K, Olesen M, Thorhauge AM. Sports events in a transmedia landscape. MedieKultur: Journal of media and communication research. 2023; 39(75): 001-007. doi: 10.7146/mk.v39i75.141716
78. Li Z. Risks, Challenges and Strategies of the Creation of China’s “City of Events”—A Case Study of Hangzhou. Humanities and Social Sciences. 2024; 12(2): 39-45. doi: 10.11648/j.hss.20241202.14
79. Wanyonyi L, Njoroge JM, Juma R. Challenges and opportunities to sustainable sport tourism events: insights from an urban host city. Journal of Tourism, Hospitality and Sports. 2021; 55(6): 157-166. doi: 10.7176/jths/55-06
80. Carlini J, Coghlan A, Thomson A, et al. From Legacy Rhetoric to Business Benefits: A Case Study of the Gold Coast 2018 Commonwealth Games. Event Management. 2020; 24(1): 75-96. doi: 10.3727/152599519x15506259856057
81. Jeong Y, Kim SK. The key antecedent and consequences of destination image in a mega sporting event. South African Journal of Business Management. 2019; 50(1). doi: 10.4102/sajbm.v50i1.1480
82. Bell B, Daniels J. Sport development in challenging times: leverage of sport events for legacy in disadvantaged communities. Managing Sport and Leisure. 2018; 23(4-6): 369-390. doi: 10.1080/23750472.2018.1563497
83. Branković N, Kalem A. Infrastructure costs and benefits of European high-speed rail. Sci Eng Technol. 2021;1(2):47-53. doi: 10.54327/set2021/v1.i2.10.
84. Hou M, Liu F, Hu X. Typical wheel–rail profile change rules and matching characteristics of high-speed railway in China. Railway Sci. 2022;1(2):289-306. doi: 10.1108/rs-04-2022-0019
85. Ilinykh A, Vorontsov D, Miloradovich V. New working equipment of PXP 2.0 high-performance railway train. E3S Web Conf. 2024; 471: 02026. doi: 10.1051/e3sconf/202447102026.
86. Panuccio P. State of the art of sustainable development of railway nodes: The High-Speed Rail (HSR). In: International Conference on Computational Science and Its Applications. Cham: Springer Nature Switzerland; 2024. p. 202-216. doi: 10.1007/978-3-031-65318-6_14.
87. Li F, Su Y, Xie J, et al. The impact of high-speed rail opening on city economics along the Silk Road Economic Belt. Sustainability. 2020;12(8):3176. doi: 10.3390/su12083176.
88. Li R, Wang J, Zhao X, et al. Segmented power supply preset control method of high-speed rail contactless traction power supply system considering regenerative braking energy recovery. Math Probl Eng. 2020; 2020: 1-15. doi: 10.1155/2020/6698688.
89. Lu Y, Yang S, Li J. The influence of high-speed rails on urban innovation and the underlying mechanism. PLoS One. 2022; 17(3): e0264779. doi: 10.1371/journal.pone.0264779.
90. Singh P, Maurya A, Shankar A, et al. Wireless sensor network-based monitoring system for health structure of rail-tracks: An efficient design for communication. Appl Comput Eng. 2023;8(1):42-47. doi: 10.54254/2755-2721/8/20230070.
91. Sönmez H, Öztürk Z. Effects of traffic loads and track parameters on rail wear: A case study for Yenikapi–Ataturk Airport light rail transit line. Urban Rail Transit. 2020;6(4):244-264. doi: 10.1007/s40864-020-00136-1.
92. Wang S, Zhu L, Xu K, et al. Reliability evaluation for LTE-based CBTC train ground communication systems. J Adv Transp. 2019; 2019: 1-11. doi: 10.1155/2019/2689648.
93. Wenner F, Thierstein A. Rail accessibility in Germany: Changing regional disparities between 1990 and 2020. Raumforsch Raumordn. 2021;79(2):95-115. doi: 10.14512/rur.63.
94. Yun J, Jeong S, Kong J, et al. Investigation of the policy effect of high-speed metropolitan rail service in Seoul through latent class modeling analysis of stated preference survey. Transp Res Rec J Transp Res Board. 2023;2677(12):529-542. doi: 10.1177/03611981231168855.
95. Zhang Z. The impact of opening high-speed railway on Guangxi’s economic growth—An empirical analysis based on DID model. Mod Econ. 2019;10(3):707-719. doi: 10.4236/me.2019.103048.
96. Chen J, Ming-wei L, Xie C. Transportation connectivity strategies and regional tourism economy - empirical analysis of 153 cities in China. Tour Rev. 2021;77(1):113-128. doi: 10.1108/tr-03-2021-0134.
97. Chen Y, Chen W, Chen S. The mediating role of entrepreneurship in the link between high-speed rail and carbon emissions reduction. Front Environ Sci. 2022;10. doi: 10.3389/fenvs.2022.1013060.
98. Kang D, Zhai X, Chen F, et al. How to promote the development of a green economy: Talent or technology?—Evidence from China’s high-speed rail. Front Psychol. 2022;13. doi: 10.3389/fpsyg.2022.953506.
99. Liu M. The impact of high-speed rail construction on China’s provincial industrial structure. Highl Bus Econ Manag. 2024; 39: 104-109. doi: 10.54097/k0ewy051.
100. Wu B, Li W, Chen J. Networked transport and economic growth: Does high-speed rail narrow the gap between cities in China? Sustainability. 2022;14(10):5937. doi: 10.3390/su14105937.
101. Hakim L. Framing analysis of high-speed rail project reports on online media Kompas.com and Viva.co.id. J Ilmiah Liski. 2023;9(1):1. doi: 10.25124/liski.v9i1.5277.
102. Zhang P, Zhao W, Wang Y, et al. A study on the utility measurements and influencing factors of high-speed rail and air passenger travel. J Adv Transp. 2022; 2022: 1-11. doi: 10.1155/2022/3224485.
103. Zhang S. The economic impact of high-speed rail development in the Pearl River Delta: A case study of Guangzhou-Shenzhen-Hong Kong Express Rail Link. Adv Econ Manag Polit Sci. 2024;107(1):64-72. doi: 10.54254/2754-1169/2024ga0117.
104. He Y, Sui X, Guo L, et al. Analysis of the relationship between railway passenger traffic and turnover in China based on XGBoost algorithm. J Appl Math Comput. 2023; 7(3): 381–386. doi: 10.26855/jamc.2023.09.008
105. McTigue C, Rye T, Monios J. Identifying barriers to implementation of local transport policy—Lessons learned from case studies on bus policy implementation in Great Britain. Transport Policy. 2020; 91: 16-25. doi: 10.1016/j.tranpol.2020.03.002
106. Shi X, Jiang H, Li H, et al. Maritime cluster research: Evolutionary classification and future development. Transportation Research Part A: Policy and Practice. 2020; 133: 237-254. doi: 10.1016/j.tra.2020.01.015
107. Jin Z, Zhang L, Xin Q. Transportation infrastructure and resource allocation of capital market: Evidence from high-speed rail opening and company going public. China J Account Stud. 2020;8(2):272-297. doi: 10.1080/21697213.2020.1822024.
108. Alexander DW, Merkert R. Applications of gravity models to evaluate and forecast US international air freight markets post-GFC. Transport Policy. 2021; 104: 52-62. doi: 10.1016/j.tranpol.2020.04.004
109. Figliozzi M, Saenz J, Faulin J. Minimization of urban freight distribution lifecycle CO2e emissions: Results from an optimization model and a real-world case study. Transport Policy. 2020; 86: 60-68. doi: 10.1016/j.tranpol.2018.06.010
110. Khan M, Dasaka S. Influence of train axle load on wheel-rail interface friction. IOP Conf Ser Mater Sci Eng. 2018; 377: 012002. doi: 10.1088/1757-899x/377/1/012002.
111. Tadić S, Krstić M, Brnjac N. Selection of efficient types of inland intermodal terminals. Journal of Transport Geography. 2019; 78: 170-180. doi: 10.1016/j.jtrangeo.2019.06.004
112. Deng L, Zhou Y, Li Z, et al. Do high-speed rail networks promote coupling coordination between employment and industry output? A study based on evidence from China. Sustainability. 2024;16(3):975. doi: 10.3390/su16030975.
113. Awaworyi Churchill S. Ethnic diversity and transport poverty. Transportation Research Part A: Policy and Practice. 2020; 139: 297-309. doi: 10.1016/j.tra.2020.07.012
114. Lian X, Bao K, Gao C, et al. Research on named entity recognition method for high-speed railway technology transformation project text. J Phys Conf Ser. 2024;2816(1):012086. doi: 10.1088/1742-6596/2816/1/012086.
115. Yang W, Chen Q, Yang J. Factors Affecting Travel Mode Choice between High-Speed Railway and Road Passenger Transport—Evidence from China. Sustainability. 2022; 14(23): 15745. doi: 10.3390/su142315745
116. Ren X, Ding Q. The Effect of High-Speed Rail on Regional Economy in China Using AHP. International Journal of Transportation Engineering and Technology. 2019; 5(4): 111. doi: 10.11648/j.ijtet.20190504.18
117. Zhang F, Graham DJ, Wong MSC. Quantifying the substitutability and complementarity between high-speed rail and air transport. Transportation Research Part A: Policy and Practice. 2018; 118: 191-215. doi: 10.1016/j.tra.2018.08.004
118. Xiang P, Xia X, Pang X. An integrated risk assessment method for cross-regional mega construction projects. Engineering, Construction and Architectural Management. 2023; 31(6): 2369-2391. doi: 10.1108/ecam-06-2022-0534
119. Johnson S, Elliott E. All aboard? An analysis of public opinion regarding high‐speed rail. Social Science Quarterly. 2024; 105(3): 894-905. doi: 10.1111/ssqu.13363
120. Kim M, Choi KH, Leopkey B. The influence of tourist risk perceptions on travel intention to mega sporting event destinations with different levels of risk. Tourism Economics. 2019; 27(3): 419-435. doi: 10.1177/1354816619879031
121. Yan N, Sun Y, Lin S, et al. The impact of high-speed rail on SO2 emissions—based on spatial difference-in-differences analysis. Scientific Reports. 2023; 13(1). doi: 10.1038/s41598-023-49853-0
122. Chen F, Shao M, Dai J, et al. Can the opening of high-speed rail reduce environmental pollution? An empirical research based on difference-in-differences model. Clean Technologies and Environmental Policy. 2024; 26(7): 2309-2321. doi: 10.1007/s10098-023-02719-5
123. Ou Y, Zheng J, Li S, et al. High-speed rail development and economic performance: A perspective on urban-rural disparities in the treatment and spillover effects. Res Transp Bus Manag. 2025; 59: 101287. doi: 10.1016/j.rtbm.2025.101287.
124. Cai W, Wu Z, Lu Y. The Impact of High-Speed Rails on Urban Consumption—From the Perspective of “Local-Adjacent” Effect. Frontiers in Environmental Science. 2022; 10. doi: 10.3389/fenvs.2022.884965
125. Han Y, Shen J, Zhu X, et al. Interaction mechanisms of interface management risks in complex systems of high-speed rail construction projects: an association rule mining-based modeling framework. Engineering, Construction and Architectural Management. 2024; 31(5): 2101-2127. doi: 10.1108/ecam-09-2023-0893
126. Heuermann DF, Schmieder JF. The effect of infrastructure on worker mobility: evidence from high-speed rail expansion in Germany. Journal of Economic Geography. 2018; 19(2): 335-372. doi: 10.1093/jeg/lby019