Modeling retail establishments’ freight trip generation: a comparison of methodologies to predict total weekly deliveries

Author:

Alho André RomanoORCID,de Abreu e Silva João

Publisher

Springer Science and Business Media LLC

Subject

Transportation,Development,Civil and Structural Engineering

Reference29 articles.

1. Agresti, A.: An Introduction to Categorical Data Analysis, 2nd edn. Wiley, New York (2007)

2. Alho, A., de Abreu e Silva, J.: Freight trip generation model: predicting urban freight weekly parking demand from retail establishment characteristics. Transp. Res. Rec. 2411(2), 45–54 (2014)

3. Alho, A., de Abreu e Silva, J.: Modeling commercial establishments’ freight demand: a two-step approach to predict weekly deliveries in total of vehicles. In: Proceedings of the Transportation Research Board (TRB) 94th Annual Meeting 2015 (2015a)

4. Alho, A., de Abreu e Silva, J.: Lisbon’s Establishment-based Freight Survey: revealing retail establishments’ characteristics, goods ordering and delivery processes. Eur. Transp. Res. Rev. (2015b). doi: 10.1007/s12544-015-0163-7

5. Alho, A., Lee, Y. J., Blanco, E., Zegras, C., de Abreu e Silva, J.: Freight Trip Generation in urban contexts: a comparison between Lisbon (PT) and Singapore (SG). In: CUPUM 2015—14th International Conference on Computers in Urban Planning and Urban Management, July 7–10, 2015, Cambridge, MA, USA (2015)

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