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Socioeconomic impact assessments of high-Speed rail: A meta-Analysis

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  • Junmei Cheng
  • Zhenhua Chen

Abstract

The interest in the socioeconomic impact assessments of the high-speed rail (HSR) system is burgeoning as many countries are considering investing in such a system. While extensive studies have provided a wide range of evaluations of HSR on the socioeconomic impact, primarily from an ex-post perspective, it remains unclear how reliable the evaluation outcomes were, given the variety of data, method and research framework being adopted. This paper provides a comprehensive review of the socioeconomic impact studies of high-speed rail (HSR), based on 242 academic publications. In particular, we examined to what extent the impact outcome is influenced by various modelling factors, such as data, model, and research design, using meta-analysis based on 368 empirical estimates derived from 45 empirical studies. Our analysis confirms that the factors of research design (e.g. variables, data, and modelling method) do have various influences on the empirical estimates of HSR project appraisals. In the end, the paper discusses the implications for future infrastructure project appraisals.

Suggested Citation

  • Junmei Cheng & Zhenhua Chen, 2022. "Socioeconomic impact assessments of high-Speed rail: A meta-Analysis," Transport Reviews, Taylor & Francis Journals, vol. 42(4), pages 467-502, July.
    • Handle: RePEc:taf:transr:v:42:y:2022:i:4:p:467-502
    DOI: 10.1080/01441647.2021.1979689
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    Citations

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    Cited by:

    1. Yan, Sen & Sun, Xinyu & Zhang, Yurong, 2024. "High-speed railway ripples on the greenness: Insight from urban green vegetation cover," Transportation Research Part A: Policy and Practice, Elsevier, vol. 179(C).
    2. Feng, Qiyun & Chen, Zhenhua & Cheng, Chuanchao & Chang, Haiqing, 2023. "Impact of high-speed rail on high-skilled labor mobility in China," Transport Policy, Elsevier, vol. 133(C), pages 64-74.
    3. Li, Zekun & Chen, Zhenhua, 2023. "Predicting the future development scale of high-speed rail through the urban scaling law," Transportation Research Part A: Policy and Practice, Elsevier, vol. 174(C).
    4. Jiao, Jingjuan & Zhao, Hongyu & Lyu, Guowei, 2024. "How does high-speed rail affect off-site investments? Evidence from the Yangtze River Delta, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 181(C).
    5. Kowalski Michal & Marada Miroslav & Chmelík Jakub, 2023. "The impact of city public transportation use on the competitiveness between high-speed rail and the car: The example of the Prague – Brno connection," Review of Economic Perspectives, Sciendo, vol. 23(1), pages 35-46, March.
    6. Chen, Fanglin & Chen, Zhongfei, 2023. "High-speed rail and happiness," Transportation Research Part A: Policy and Practice, Elsevier, vol. 170(C).
    7. Yuan, Liang & Fan, Xiaoming, 2023. "As a Chinese saying goes, ‘To get rich, first pave the way’: The opening of high-speed rail and automobile consumption in China," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    8. Li, Zongxin & Wang, Qingyu & Cai, Mengshan & Wong, Wing-Keung, 2023. "Impacts of high-speed rail on the industrial developments of non-central cities in China," Transport Policy, Elsevier, vol. 134(C), pages 203-216.

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