Trip Generation Based on Land Use Characteristics: A Review of the Techniques Used in Recent Years
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-6090-3_29
Reference25 articles.
1. Etu JE, Oyedepo OJ (2018) Forecasting trip generation for high density residential zones of Akure, Nigeria: Comparability of artificial neural network and regression models. J Civ Eng Sci Technol 9(2):2. https://doi.org/10.33736/jcest.988.2018
2. Kabakuş N, Tortum A (2019) “Comparative analysis of trip generation models according to household characteristics for developed, developing and non-developed provinces in Turkey.” Sadhana—Acad Proc Eng Sci 44(5). https://doi.org/10.1007/s12046-019-1104-2
3. De Gruyter C, Zahraee SM, Shiwakoti N (2021) Site characteristics associated with multi-modal trip generation rates at residential developments. Transp Policy 103(February):127–145. https://doi.org/10.1016/j.tranpol.2021.01.019
4. Sarkar PP, Chunchu M (2016) Quantification and analysis of land-use effects on travel behavior in smaller Indian cities: Case study of Agartala. J Urban Plan Dev 142(4):1–12. https://doi.org/10.1061/(asce)up.1943-5444.0000322
5. Bwambale A, Choudhury CF, Hess S (2017) Modelling trip generation using mobile phone data: A latent demographics approach. J Transp Geogr 76(June):276–286. https://doi.org/10.1016/j.jtrangeo.2017.08.020
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