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Quantifying wider economic impacts of high-speed connectivity and accessibility: The case of the Karnataka high-speed rail

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  • Sahu, Saransh
  • Verma, Ashish

Abstract

Inter-regional high-speed connectivity and accessibility through public transportation modes such as High-Speed Rail (HSR) are crucial for sustainable and uniform development. However, it can be a costly affair considering the enormous capital it requires against direct user benefits. Thus, quantifying Wider Economic Impacts (WEI), such as productivity changes at the organizational level, becomes an important task to include in the cost-benefit analysis. However, lack of research exists towards a method that quantifies productivity changes at an organizational (institutional or industrial) level. This study proposes an optimization problem to optimize infrastructure investment from an organizational perspective in an upcoming campus. The optimization problem manifests the impact of high-speed connectivity on organizational productivity by integrating land price elasticity and workforce availability for inter-regional movement. A case study of a new institutional IISc campus in the upcoming Science City at Challakere in the state of Karnataka, India, is taken that gives a perspective for decision-making to improve productivity for a given investment and inter-regional connectivity level. The productivity is measured in terms of the number of publications, and the transportation connectivity is assessed with four scenarios: current road network and HSR with speeds 180,250 and 320 kmph. The result of the case study shows that maximum achievable productivity gets affected with transportation connectivity level (Road < HSR 180 < HSR 250 < HSR 320). In different scenarios, Road, HSR 180, HSR 250 and HSR 320, maximum achievable productivity is 237, 266, 272 and 277, respectively. Quantifying the productivity in monetary terms has the potential of appraising cost-benefit analysis for HSR projects.

Suggested Citation

  • Sahu, Saransh & Verma, Ashish, 2022. "Quantifying wider economic impacts of high-speed connectivity and accessibility: The case of the Karnataka high-speed rail," Transportation Research Part A: Policy and Practice, Elsevier, vol. 158(C), pages 141-155.
    • Handle: RePEc:eee:transa:v:158:y:2022:i:c:p:141-155
    DOI: 10.1016/j.tra.2022.02.011
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    References listed on IDEAS

    as
    1. Sharma, Rohit & Newman, Peter, 2018. "Does urban rail increase land value in emerging cities? Value uplift from Bangalore Metro," Transportation Research Part A: Policy and Practice, Elsevier, vol. 117(C), pages 70-86.
    2. Chen, Zhenhua & Xue, Junbo & Rose, Adam Z. & Haynes, Kingsley E., 2016. "The impact of high-speed rail investment on economic and environmental change in China: A dynamic CGE analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 92(C), pages 232-245.
    3. Sun, Xiaoqian & Wandelt, Sebastian & Zhang, Anming, 2021. "Comparative accessibility of Chinese airports and high-speed railway stations: A high-resolution, yet scalable framework based on open data," Journal of Air Transport Management, Elsevier, vol. 92(C).
    4. Christian Omobhude & Shih-Hsin Chen, 2019. "The Roles and Measurements of Proximity in Sustained Technology Development: A Literature Review," Sustainability, MDPI, vol. 11(1), pages 1-30, January.
    5. Vickerman, Roger, 2018. "Can high-speed rail have a transformative effect on the economy?," Transport Policy, Elsevier, vol. 62(C), pages 31-37.
    6. Zhang, Anming & Wan, Yulai & Yang, Hangjun, 2019. "Impacts of high-speed rail on airlines, airports and regional economies: A survey of recent research," Transport Policy, Elsevier, vol. 81(C), pages 1-19.
    7. Takebayashi, Mikio, 2021. "Workability of a multiple-gateway airport system with a high-speed rail network," Transport Policy, Elsevier, vol. 107(C), pages 61-71.
    8. Beibei Guo & Jinchuan Ke, 2020. "The Impacts of High-speed Rail on Sustainable Economic Development: Evidence from the Central Part of China," Sustainability, MDPI, vol. 12(6), pages 1-19, March.
    9. Varun Raturi & Ashish Verma, 2019. "Competition between High Speed Rail and Conventional Transport Modes: Market Entry Game Analysis on Indian Corridors," Networks and Spatial Economics, Springer, vol. 19(3), pages 763-790, September.
    10. He, Sylvia Y., 2020. "Regional impact of rail network accessibility on residential property price: Modelling spatial heterogeneous capitalisation effects in Hong Kong," Transportation Research Part A: Policy and Practice, Elsevier, vol. 135(C), pages 244-263.
    11. Shi, Wenming & Lin, Kun-Chin & McLaughlin, Heather & Qi, Guanqiu & Jin, Mengjie, 2020. "Spatial distribution of job opportunities in China: Evidence from the opening of the high-speed rail," Transportation Research Part A: Policy and Practice, Elsevier, vol. 133(C), pages 138-147.
    12. Graham, Daniel J. & Gibbons, Stephen, 2019. "Quantifying Wider Economic Impacts of agglomeration for transport appraisal: Existing evidence and future directions," Economics of Transportation, Elsevier, vol. 19(C), pages 1-1.
    13. Ardeshiri, Ali & Vij, Akshay, 2019. "Lifestyles, residential location, and transport mode use: A hierarchical latent class choice model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 126(C), pages 342-359.
    14. Rothengatter, Werner, 2019. "Approaches to Measure the Wider Economic Impacts of High-Speed Rail and Experiences from Europe," ADBI Working Papers 946, Asian Development Bank Institute.
    15. Paal Brevik Wangsness & Kenneth Løvold Rødseth & Wiljar Hansen, 2017. "A review of guidelines for including wider economic impacts in transport appraisal," Transport Reviews, Taylor & Francis Journals, vol. 37(1), pages 94-115, January.
    16. Jiao, Jingjuan & Wang, Jiaoe & Zhang, Fangni & Jin, Fengjun & Liu, Wei, 2020. "Roles of accessibility, connectivity and spatial interdependence in realizing the economic impact of high-speed rail: Evidence from China," Transport Policy, Elsevier, vol. 91(C), pages 1-15.
    17. Varun Raturi & Ashish Verma, 2020. "A game-theoretic approach to analyse inter-modal competition between high-speed rail and airlines in the Indian context," Transportation Planning and Technology, Taylor & Francis Journals, vol. 43(1), pages 20-47, January.
    18. Rico Krueger & Taha H. Rashidi & Vinayak V. Dixit, 2019. "Autonomous Driving and Residential Location Preferences: Evidence from a Stated Choice Survey," Papers 1905.11486, arXiv.org, revised Sep 2019.
    19. Diao, Mi, 2018. "Does growth follow the rail? The potential impact of high-speed rail on the economic geography of China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 113(C), pages 279-290.
    20. Zhou, Zhengyi & Zhang, Anming, 2021. "High-speed rail and industrial developments: Evidence from house prices and city-level GDP in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 149(C), pages 98-113.
    21. Campos, Javier & de Rus, Ginés, 2009. "Some stylized facts about high-speed rail: A review of HSR experiences around the world," Transport Policy, Elsevier, vol. 16(1), pages 19-28, January.
    22. Wang, Feng & Wei, Xianjin & Liu, Juan & He, Lingyun & Gao, Mengnan, 2019. "Impact of high-speed rail on population mobility and urbanisation: A case study on Yangtze River Delta urban agglomeration, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 127(C), pages 99-114.
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    5. YOO Sunbin & KUMAGAI Junya & KAWASAKI Kohei & HONG Sungwan & ZHANG Bingqi & SHIMAMURA Takuya & MANAGI Shunsuke, 2022. "Double-edged Trains: Economic outcomes and regional disparity of high-speed railways," Discussion papers 22060, Research Institute of Economy, Trade and Industry (RIETI).
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