The realization of High Speed Rail (HSR) lines generates different type of effects that have been observed and studied in the scientific literature in last decades. The paper focuses on the travel demand models to estimate the effects of HSR on passenger mobility. The HSR travel demand may be segmented into three main components: diverted demand from other modes, or from other rail services, to HSR; induced demand, which can be direct and indirect; economy-based demand growth. The aim is to analyse and highlight the actual trend of scientific publications on the HSR demand analysis, thus identify the existing research gaps and the needs inside this trend, so the necessary future directions of research.

Sustainable Development of Railway Corridors: Methods and Models for High Speed Rail (HSR) Demand Analysis / Russo, F.; Sgro, D.; Musolino, G.. - 14110 LNCS:(2023), pp. 527-538. (Intervento presentato al convegno Computational Science and Its Applications – ICCSA 2023) [10.1007/978-3-031-37123-3_36].

Sustainable Development of Railway Corridors: Methods and Models for High Speed Rail (HSR) Demand Analysis

Russo F.;Sgro D.;Musolino G.
2023-01-01

Abstract

The realization of High Speed Rail (HSR) lines generates different type of effects that have been observed and studied in the scientific literature in last decades. The paper focuses on the travel demand models to estimate the effects of HSR on passenger mobility. The HSR travel demand may be segmented into three main components: diverted demand from other modes, or from other rail services, to HSR; induced demand, which can be direct and indirect; economy-based demand growth. The aim is to analyse and highlight the actual trend of scientific publications on the HSR demand analysis, thus identify the existing research gaps and the needs inside this trend, so the necessary future directions of research.
2023
978-3-031-37122-6
978-3-031-37123-3
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12318/138768
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