Freight Transport Planning: Data Challenges, Growth Factors, and Terms

This report, prepared for Transport Planning and Logistics Management, analyzes the importance of data in freight transport planning, highlighting its role in economic growth and the need for strategic planning to mitigate negative impacts. It details the difficulties in collecting freight-related data, including impenetrable data forms, low literacy, lack of technological knowledge, insufficient information identification, and data reliability issues. The report also critiques the growth factor method for estimating freight trip generations, pointing out its shortcomings such as equal growth assumptions and failure to consider changes in travel patterns. Finally, the report defines key terminologies like modal split and traffic assignment within the context of freight transport planning, explaining their roles in transportation modeling and network analysis. The report emphasizes the importance of these concepts for efficient transportation systems.