Reducing port-related truck emissions: The terminal gate appointment system at the Ports of Los Angeles and Long Beach-Reference-Cited by-同舟云学术

Reducing port-related truck emissions: The terminal gate appointment system at the Ports of Los Angeles and Long Beach

Published:2007-10 Issue:7 Volume:12 Page:460-473
ISSN:1361-9209
Container-title:Transportation Research Part D: Transport and Environment
language:en
Short-container-title:Transportation Research Part D: Transport and Environment

Author:

Giuliano Genevieve,O’Brien Thomas

Publisher

Elsevier BV

Subject

General Environmental Science,Transportation,Civil and Structural Engineering

Reference23 articles.

1. Transport Investment and Economic Development;Banister,1999

2. Implementing a Statewide Goods Movement Strategy and Performance Measurement of Goods Movement in California;Barber,2001

3. Bureau of Transportation Statistics, 2003. Table C-4: US Merchandise Trade and Production of Tradable Goods in GDP: 1970–2000 in US International Trade and Freight Transportation Trends. BTS Report 03-02.

4. Bureau of Transportation Statistics, 2006. Table I-46a: US Ton-Miles of Freight in National Transportation Statistics, Washington DC, BTS.

5. Economics of Urban Freight Transport;Button,1981

Cited by 174 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. Investigating determinants of port decarbonisation implementation using the lens of Implementation Theory;Transport Economics and Management;2024-12

2. Integrated optimization of truck appointment quotas and container relocations for multiple blocks considering transshipment containers handling;Advanced Engineering Informatics;2024-10

3. Advances in terminal management: simulation of vehicle traffic in container terminals;Maritime Economics & Logistics;2024-08-28

4. Simulation-Based Optimization of Truck Appointment Systems in Container Terminals: A Dual Transactions Approach with Improved Congestion Factor Representation;Logistics;2024-08-09

5. Appointment scheduling for logistics parks under truck heterogeneity and order fulfillment delay;International Journal of Production Research;2024-05-07