ESTIMATING THE DEMAND FOR RAILWAY FREIGHT TRANSPORTATION: A CASE STUDY IN KAZAKHSTAN
This article focuses on the critical importance of demand estimates for effective planning and decision-making in the railway freight transportation industry. Various departments within transportation companies, including marketing, production, distribution, and finance departments, heavily rely on...
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Silesian University of Technology
2023-09-01
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Series: | Transport Problems |
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Online Access: | http://transportproblems.polsl.pl/pl/Archiwum/2023/zeszyt3/2023t18z3_07.pdf |
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author | Madiyar SULTANBEK Nazdana ADILOVA Aleksander SŁADKOWSKI Arnur KARIBAYEV |
author_facet | Madiyar SULTANBEK Nazdana ADILOVA Aleksander SŁADKOWSKI Arnur KARIBAYEV |
author_sort | Madiyar SULTANBEK |
collection | DOAJ |
description | This article focuses on the critical importance of demand estimates for effective planning and decision-making in the railway freight transportation industry. Various departments within transportation companies, including marketing, production, distribution, and finance departments, heavily rely on accurate demand forecasts to make informed decisions. Forecasting demand is a crucial aspect of managing business processes, and the methods for doing this can vary across different industries. The ultimate goal remains consistent—to obtain precise predictions of future demand by analyzing historical data and current environmental factors. In the context of transportation services, accurate demand forecasting is essential for successful operational planning and management of functional areas such as transportation operations, marketing, and finance. The current case study specifically examines the National Company Kazakhstan Temir Zholy (KTZ), a transport and logistics holding engaged in rail transportation in Kazakhstan. KTZ’s main sources of income are related to freight transportation. The volume of cargo transportation (in tons) and the freight turnover play a significant role in assessing demand and forecasting future revenues from freight traffic. Different techniques for demand forecasting are explored, including qualitative and quantitative methods. Qualitative methods rely on judgments and opinions, while quantitative methods utilize historical data or identify causal relationships between variables. Overall, the present study highlights the critical role of demand forecasting in the railway freight transportation industry and its impact on efficient planning and decision-making processes. |
format | Article |
id | doaj-art-0d068dfabef44ac293f0204ed3bd023f |
institution | Kabale University |
issn | 1896-0596 2300-861X |
language | English |
publishDate | 2023-09-01 |
publisher | Silesian University of Technology |
record_format | Article |
series | Transport Problems |
spelling | doaj-art-0d068dfabef44ac293f0204ed3bd023f2025-01-16T15:11:42ZengSilesian University of TechnologyTransport Problems1896-05962300-861X2023-09-01183778810.20858/tp.2023.18.3.07ESTIMATING THE DEMAND FOR RAILWAY FREIGHT TRANSPORTATION: A CASE STUDY IN KAZAKHSTANMadiyar SULTANBEK0https://orcid.org/0000-0002-4408-3552Nazdana ADILOVA1https://orcid.org/0000-0002-8184-6993Aleksander SŁADKOWSKI2https://orcid.org/0000-0002-1041-4309Arnur KARIBAYEV3https://orcid.org/0009-0006-7296-3502Al-Farabi KazNUAl-Farabi KazNUSilesian University of TechnologyJSV “National company “Kazakhstan Temir Zholy”This article focuses on the critical importance of demand estimates for effective planning and decision-making in the railway freight transportation industry. Various departments within transportation companies, including marketing, production, distribution, and finance departments, heavily rely on accurate demand forecasts to make informed decisions. Forecasting demand is a crucial aspect of managing business processes, and the methods for doing this can vary across different industries. The ultimate goal remains consistent—to obtain precise predictions of future demand by analyzing historical data and current environmental factors. In the context of transportation services, accurate demand forecasting is essential for successful operational planning and management of functional areas such as transportation operations, marketing, and finance. The current case study specifically examines the National Company Kazakhstan Temir Zholy (KTZ), a transport and logistics holding engaged in rail transportation in Kazakhstan. KTZ’s main sources of income are related to freight transportation. The volume of cargo transportation (in tons) and the freight turnover play a significant role in assessing demand and forecasting future revenues from freight traffic. Different techniques for demand forecasting are explored, including qualitative and quantitative methods. Qualitative methods rely on judgments and opinions, while quantitative methods utilize historical data or identify causal relationships between variables. Overall, the present study highlights the critical role of demand forecasting in the railway freight transportation industry and its impact on efficient planning and decision-making processes.http://transportproblems.polsl.pl/pl/Archiwum/2023/zeszyt3/2023t18z3_07.pdfdemand estimationrailway freight transportationvolume and turnoverarimaforecast quality assessment |
spellingShingle | Madiyar SULTANBEK Nazdana ADILOVA Aleksander SŁADKOWSKI Arnur KARIBAYEV ESTIMATING THE DEMAND FOR RAILWAY FREIGHT TRANSPORTATION: A CASE STUDY IN KAZAKHSTAN Transport Problems demand estimation railway freight transportation volume and turnover arima forecast quality assessment |
title | ESTIMATING THE DEMAND FOR RAILWAY FREIGHT TRANSPORTATION: A CASE STUDY IN KAZAKHSTAN |
title_full | ESTIMATING THE DEMAND FOR RAILWAY FREIGHT TRANSPORTATION: A CASE STUDY IN KAZAKHSTAN |
title_fullStr | ESTIMATING THE DEMAND FOR RAILWAY FREIGHT TRANSPORTATION: A CASE STUDY IN KAZAKHSTAN |
title_full_unstemmed | ESTIMATING THE DEMAND FOR RAILWAY FREIGHT TRANSPORTATION: A CASE STUDY IN KAZAKHSTAN |
title_short | ESTIMATING THE DEMAND FOR RAILWAY FREIGHT TRANSPORTATION: A CASE STUDY IN KAZAKHSTAN |
title_sort | estimating the demand for railway freight transportation a case study in kazakhstan |
topic | demand estimation railway freight transportation volume and turnover arima forecast quality assessment |
url | http://transportproblems.polsl.pl/pl/Archiwum/2023/zeszyt3/2023t18z3_07.pdf |
work_keys_str_mv | AT madiyarsultanbek estimatingthedemandforrailwayfreighttransportationacasestudyinkazakhstan AT nazdanaadilova estimatingthedemandforrailwayfreighttransportationacasestudyinkazakhstan AT aleksandersładkowski estimatingthedemandforrailwayfreighttransportationacasestudyinkazakhstan AT arnurkaribayev estimatingthedemandforrailwayfreighttransportationacasestudyinkazakhstan |