This graduation project/thesis is aimed at predicting the land values after the introduction of Mumbai–Ahmedabad High-Speed Rail (MAHSR) in the cities having the High-Speed Rail (HSR) stations. Evidences from various countries are collected and studied in order to understand the effect of population on land value and determining the relationship between them, through predictive regression analysis. After the quantitative analysis, other factors like accessibility and other physical attributes like location, density, and working population have been studied in order to conclude the population spread over the various cities under study with the rising industrial growth and employment opportunities. Research recommendations that include topics of technological implementation, sustainable development, and land use planning are included in order to gain the maximum benefits out of the implementation of High-Speed Rail in the route.


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    Titel :

    Predicting the Effect on Land Values After Introducing High-Speed Rail


    Weitere Titelangaben:

    Energy, Environment, and Sustainability


    Beteiligte:
    Sharma, Sunil Kumar (Herausgeber:in) / Upadhyay, Ram Krishna (Herausgeber:in) / Kumar, Vikram (Herausgeber:in) / Valera, Hardikk (Herausgeber:in) / Srivastava, Annie (Autor:in) / Lavania, Shilpi (Autor:in) / Mohapatra, Swati (Autor:in)


    Erscheinungsdatum :

    14.06.2023


    Format / Umfang :

    40 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch






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