Development of urban freight trip generation models concerning establishment classification process for a developing country-Reference-Cited by-同舟云学术

Development of urban freight trip generation models concerning establishment classification process for a developing country

Published:2021-08 Issue: Volume: Page:
ISSN:2046-0430
Container-title:International Journal of Transportation Science and Technology
language:en
Short-container-title:International Journal of Transportation Science and Technology

Author:

Venkadavarahan Marimuthu,Marisamynathan Sankaran

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Transportation,Automotive Engineering,Civil and Structural Engineering

Reference38 articles.

1. Lisbon’s Establishment-based Freight Survey: revealing retail establishments’ characteristics, goods ordering and delivery processes;Alho;Eur. Transp. Res. Rev.,2015

2. Freight-trip generation model predicting urban freight weekly parking demand from retail establishment characteristics;Alho;Transp. Res. Rec.: J. Transp. Res. Board,2014

3. Freight generation models: Comparative analysis of regression models and multiple classification analysis;Bastida;Transp. Res. Rec.,2009

4. An explorative approach to freight trip attraction in an industrial urban area;Caspersen,2018

5. CoE-UT IIT Madras, 2018. Towards Developing a Comprehensive Planning Framework for Urban Freight in Chennai Shakthi Sustainable Energy Foundation CoE-UT IIT Madras. Chennai.

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Developing B2C freight trip generation model from Courier Express Parcel establishments: A case study of two Indian cities;European Transport/Trasporti Europei;2024-06

2. A spatio-functional logistics profile clustering analysis method for metropolitan areas;Transportation Research Part E: Logistics and Transportation Review;2023-11

3. Examining the Effects of Local Sample Sizes on Spatial Transferability of Freight Production Models;Transportation Research Record: Journal of the Transportation Research Board;2023-10-21

4. Development of freight trip generation model using observed and unobserved information of supply chain characteristics for a sustainable urban transformation;Journal of Cleaner Production;2023-10

5. Modeling Construction Freight Using OLS, Robust Inference and FGLS;Iranian Journal of Science and Technology, Transactions of Civil Engineering;2023-09-25