Abstract and keywords
Abstract (English):
The well-known approaches to the process of modeling the demand in urban freight transportation in conditions of limited availability of adequate data are considered. The main task is to select a model for creating a reliable system for analyzing urban freight traffic. Demand assessment models were chosen as input data because they are the most representative for assessing urban freight transport performance.

Keywords:
urban freight transport, data collection methodology.
Text
Text (PDF): Read Download
References

1. Kaszubowski, D. Advanced Solutions of Transport Systems for Growing Mobility, 2018, Volume 631 ISBN : 978-3-319-62315-3.

2. Lebedeva O. A., Antonov D. V. Modelirovanie gruzovyh matric korre-spondenciy gravitacionnym i entropiynym metodami // Vestnik IrGTU. - 2015. - № 5 (100). - S. 118-122. - ISSN 1814-3520.

3. Lebedeva O.A., Kripak M.N. Modelirovanie gruzovyh perevozok v transportnoy seti // Vestnik Angarskogo gosudarstvennogo tehnicheskogo uni-versiteta. 2016. № 10. S. 182-184.

4. Kaszubowski D. Recommendations for Urban Freight Policy Development in Gdynia // Transp Res Procedia 12: pp. 886-899, 2016.

5. Gonzalez-Feliu J., Toilier F., Ambrosini C., Routhier J-L. Estimated Data Production for Urban Goods Transport Diagnosis. In: Gonzalez-Feliu J, Semet F, Routhier J-L (eds) Sustain. Urban Logist. Concepts, Methods Inf. Syst. Springer Ber-lin Heidelberg, Berlin, Heidelberg, pp .113-143, 2014.

6. Allen J., Ambrosini C., Browne M. Data Collection for Understanding Urban Goods Movement. In: Gonzalez-Feliu J, Semet F, Routhier J-L (eds) Sustain. Urban Logist. Concepts, Methods Inf. Syst. Springer Berlin Heidelberg, Berlin, Heidelberg, pp. 71-89, 2014.

Login or Create
* Forgot password?