Work

Prospects for Comprehensive Forecasts When Assessing the Load of Railway Transport Infrastructure

Year: 2024

Type: conference-paper

Source: Springer proceedings in business and economics

DOI: 10.1007/978-3-031-56380-5_20

Authors: Ekaterina Malovetskaya, Elena Voskresenskaya, Anna Mozalevskaya

Institutions: Irkutsk State Transport University, Saint Petersburg University of Management and Economics

Language: English

Topic: Forecasting Techniques and Applications

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4399786192

FWCI: 1.064

Cites: 9

Cited by: 2

Related to: 10