Theoretical Frameworks in the Study

  • Chapter
  • First Online:
The Social Benefits of High-Speed Rails in China
  • 18 Accesses

Abstract

This chapter reviews the basic theories related to social benefits, including social benefits theory, high-speed rail social benefits theory, equality and efficiency theory, and social benefits measurement model, etc. In general, there is still room for further research on the theoretical scope, element identification, boundary definition and benefit quantification of social benefits of transportation.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Institutional subscriptions

References

  1. BARBER, ROBERT L. The social work dictionary [M]. 4th Edition. Washington D.C. NASW Press, 1987.

    Google Scholar 

  2. Li Zhanle. On the reform of the relationship model between the state and society in the cause of social benefits: an examination of Wuhan City as a case study [J]. Hubei Social Science, 2007(2):38–40.

    Google Scholar 

  3. Shi Guoshan. Socialization is the theme of reform and development of social welfare in China [J]. China Civil Affairs, 1997 (10): 10.

    Google Scholar 

  4. Zhu Jiaqing. Research on the Fairness of Public Benefit Distribution Based on Public Finance [D]. Chongqing: Chongqing University, 2009.

    Google Scholar 

  5. Bao Haihua. Research on the Coordinated Development of Regional Social Welfare [D]. Bei**g: Central University for Nationalities, 2011.

    Google Scholar 

  6. Chen Yang. Social benefits, economic growth and regional development differences [D]. Qingdao: Qingdao University, 2012.

    Google Scholar 

  7. Hu Zhijun. Estimation of Gini Coefficient and Social Benefits Based on Subgroup Data: 1985–2009 [J]. Quantitative Economic and Technical Economics Research, 2012(9):111–121.

    Google Scholar 

  8. Zeng Leilei. Statistical Analysis of the Impact of Competitiveness of Bei**g-Tian**-Hebei Cities on Social Benefits [D]. Baoding: Hebei University, 2019.

    Google Scholar 

  9. Wang **nyu. Research on the impact of high-speed railroad on social benefits of passengers in China [D]. Bei**g: Bei**g Jiaotong University, 2019.

    Google Scholar 

  10. Wang Qipu. Research on the impact of structural changes of urban public transportation on social benefits [D]. Bei**g: Bei**g Jiaotong University, 2020.

    Google Scholar 

  11. YANG H, ZHANG A. Effects of high-speed rail and air transport competition on prices, profits and welfare [J]. Transportation research Part B: Methodological, 2012, 46(10):1322–1333.

    Google Scholar 

  12. D’ALFONSO T, JIANG C M, BRACAGLIV. Would competition between air transport and high-trail benefit environment and social welfare? [J]. Transportation research Part B, 2015, 74: 118–137.

    Google Scholar 

  13. ADLER N, PELS E, NASH C. High-speed rail and air transport competition: game engineering as tool for cost-benefit analysis [J]. Transportation research Part B: Methodological, 2010, 44(7):812–833.

    Google Scholar 

  14. GIVONI M, BANISTER D. Airline and railway integration [J].Transport policy, 2006, 13(5):386–397.

    Google Scholar 

  15. XIA W, ZHANG A. High-speed rail and air transport competition and cooperation: a vertical differentiation approach [J]. Transportation research Part B: Methodological, 2016, 94:456–481.

    Google Scholar 

  16. Lin Guihua, Pei Hongbo, Zou Yuanyang. Game analysis of airline companies and high-speed rail based on Bertrand’s model [J]. Journal of Systems Engineering, 2020, 35(3):325–339.

    Google Scholar 

  17. XIA W, ZHANG A. Air and high-rail transport integration on profits and welfare: effects of air-rail connecting time [J]. Journal of air transport management, 2017, 65:181–190.

    Google Scholar 

  18. JIANG C, ZHANG A. Effects of high- rail and airline cooperation under hub airport capacity constraint [J]. Transportation research Part B: Methodological, 2014, 60:33–49.

    Google Scholar 

  19. Wang Lu. Research on the impact of China’s high-speed rail on economic development and residents’ benefits [J]. Price theory and practice, 2019(6):149–151.

    Google Scholar 

  20. Lin **aoyan. Review of the research results of high-speed rail economy and the direction of basic theory [J]. Journal of Bei**g Jiaotong University (Social Science Edition), 2018, 17(4): 20–37.

    Google Scholar 

  21. AKERMAN J. The role of high-speed rail in mitigating climate change-the Swedish case Europabanan from a life cycle perspective [J]. Transportation research Part D: Transport and environment, 2010, 16(3):208–217.

    Google Scholar 

  22. YU K, JACK S, LIU S L, et al. Effects of railway speed on aviation demand and CO2 emissions in China [J].Transportation research Part D: Transport and environment, 2021, 94:102772.

    Google Scholar 

  23. Hu Zhijun, Liu Zongming, Gong Zhimin. Estimation of overall income Gini coefficient in China: 1985–2008 [J]. Econometrics, 2011, 10(4):1423–1436.

    Google Scholar 

  24. Rawls. Theory of Justice [M]. He Huaihong, He Baogang, Liao Shenbai, Translation. Bei**g: China Social Science Press, 2001.

    Google Scholar 

  25. Li Wang, Ni Shaoquan, Lv Hongxia. Research on the safety and efficiency of inter-district train operation under different operation rules [J]. China Journal of Safety Science, 2012, 22(6):150–156.

    Google Scholar 

  26. Jiang Feng, Ni Shaoquan, Yu Daben, et al. Evaluation of high-speed railroad train operation line efficiency considering dynamic train succession [J]. Transportation System Engineering and Information, 2016, 16(2):120–125, 154.

    Google Scholar 

  27. Jiang Feng, Zhang Zhihao, Ni Shaoquan, et al. Research on the calculation method of train running line efficiency based on DEA-CCR model [J]. Transportation System Engineering and Information, 2017, 17(2):154–159.

    Google Scholar 

  28. ELVIK R. An exploratory analysis of models for estimating the combined effects of road safety measures [J]. Accident analysis and prevention, 2009, Accident analysis and prevention, 2009, 41(4):876–880.

    Google Scholar 

  29. MONZON A, ORTEGA E, LOPEZ E. Efficiency and spatial equity impacts of high-speed rail extensions in urban areas [J]. Cities, 2013, 30(30):18–30.

    Article  Google Scholar 

  30. WU J, LIU M, SUN H, et al. Equity-based timetable synchronization optimization in urban subway network [J]. Transportation research Part C: Emerging technologies, 2015, 51:1–18.

    Article  Google Scholar 

  31. Lu Dandan, Zhang Shengrui, Guo Meng. Analysis of urban traffic fairness and countermeasures [J]. Transportation Technology and Economy, 2008(2):103–105.

    Google Scholar 

  32. Wu Maolin, Cao Kai. Quantitative Evaluation of Traffic Fairness Based on Gini Coefficient [J]. Transportation Science and Technology and Economy, 2011 (1): 86–89.

    Google Scholar 

  33. Shi **g, Yang Lang, Huang Qian, et al. The measurement perspective and model description of traffic fairness [J]. Journal of Railway Engineering, 2009 (1): 97–101.

    Google Scholar 

  34. Shi **g, Zhou Nian. Principles and methods of selecting traffic fairness evaluation indexes [J]. Journal of Railway Engineering, 2010, 27(9): 92–97.

    Google Scholar 

  35. Wang Zhengwu, Tan Zhenxia, Zhang **. Coordinated Control of Entrance Ramps with Fairness and Efficiency [J]. Journal of Wuhan University of Technology (Transportation Science and Engineering Edition), 2012, 36(2):306–310.

    Google Scholar 

  36. Zhang Shupeng. Research on the development of urban public transportation system based on urban traffic fairness [D]. Lanzhou: Lanzhou Jiaotong University, 2011.

    Google Scholar 

  37. Qiang Lixia, Liu Jun. Discussion on the Fare System of High-speed Railway Passenger Transportation [J]. Comprehensive Transportation, 2009 (3): 75–77.

    Google Scholar 

  38. Zhang Plan. Pricing Innovation of High-speed Railway in China [J]. Market Economy and Price, 2011 (4): 19–21.

    Google Scholar 

  39. Cui Mengmeng. Research on China’s high-speed railroad tariff formation mechanism [D]. Bei**g: Bei**g Jiaotong University, 2014.

    Google Scholar 

  40. Qiu Mengzhen. Research on the form of government-guided price for high-speed railroads in China [D]. Bei**g: Bei**g Jiaotong University, 2015.

    Google Scholar 

  41. Wang Fengli, Feng Haoyue, Ren Yaxuan. Research on the diversified passenger ticket price system of high-speed railroad in China [J]. China Railway, 2016(3):11–15.

    Google Scholar 

  42. Li Ya. Research on the price formation mechanism of high-speed railroad transportation in China [J]. Reform and Strategy, 2016, 32(11): 139–143.

    Google Scholar 

  43. Liu W. C., Zhang J. T., Wang S. J. Optimization of urban bus network services under elastic demand [J].

    Google Scholar 

  44. Ma Yanyi. Research on the relationship between investment structure changes and regional economic benefits in Shaanxi Province [D]. **’an: Northwestern University, 2015.

    Google Scholar 

  45. Bai Jiang. Empirical Study on the Benefit Effect of Urbanization in China [D]. Changchun: Jilin University, 2018.

    Google Scholar 

  46. Ye Ze, Yao Jun, Wu Yongfei, et al. Research on electricity price cross-subsidy and social benefit measurement considering customer demand [J]. China Electric Power, 2019, 52(12):113–122.

    Google Scholar 

  47. Zhu **cheng, **ao Feng, Shuai Bin, et al. Urban cab congestion charging [J]. Journal of Jilin University (Engineering Edition), 2015, 45(1):89–96.

    Google Scholar 

  48. Cao Yi, Tao Hong Yu, Luo **a. The impact of cab software usage on the social benefits of cabs [J]. Transportation system engineering and information, 2015, 15(3):1–6, 24.

    Google Scholar 

  49. Wang Wei. Research on the institutional causes of over-regulation of cabs and its benefit impact [D]. Harbin: Harbin Institute of Technology, 2017.

    Google Scholar 

  50. Liu Bingzheng, Ge Yingen, Cao Kai. Fare and Transfer Discount Rate Optimization of Subway and Bus Considering Passengers’ Subjective Judgment [J]. Systems Engineering Theory and Practice, 2016, 36(12):3188–3197.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Hongchang Li .

Rights and permissions

Reprints and permissions

Copyright information

© 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Li, H., **a, X. (2024). Theoretical Frameworks in the Study. In: The Social Benefits of High-Speed Rails in China. Contributions to Public Administration and Public Policy. Springer, Singapore. https://doi.org/10.1007/978-981-97-1695-1_2

Download citation

Publish with us

Policies and ethics

Navigation