Simulating the uncertain environmental impact of freight truck shifting programs

Liu, Haobing; Kim, Daejin

doi:10.1016/j.atmosenv.2019.116847

Cited by 18 publications

(2 citation statements)

References 22 publications

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“…[ [32][33][34][35] Emissions rates are a function of speed. Shifting trucks from daytime to night-time or from peak to off-peak period can reduce traffic congestion and reduce air pollution (extreme and average concentrations).…”

Section: Author(s)mentioning

confidence: 99%

The Effect of Port Gate Location and Gate Procedures on the Port-City Relation

2021

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Ports are important hubs that have positive impacts on the regions they serve, but they also pose some challenges that need to be addressed. Many ports around the world have aligned their development strategies with the concept of green growth; however, the green and efficient performance of ports does not only depend on the port management itself; some elements need to be negotiated and approved by local and national governments. One of such elements is road port access. We investigated the impact of port gate location and port gate procedures on port’s performance by examining the case of the Adriatic port of Koper, the only Slovenian international cargo port. We found that significant external costs are incurred due to a non-optimized situation caused by the lack of coordination and cooperation on all levels, although the port of Koper is one of European core ports. Further, delayed digitalization of port gate procedures caused by port management adds to degradation of port city relations.

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Section: Author(s)mentioning

confidence: 99%

The Effect of Port Gate Location and Gate Procedures on the Port-City Relation

2021

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“…Haobing analyzed traffic simulations, the MOVES emission inventory, and the AERMOD dispersion model. He explored the impacts of three alternative truck shifting strategies on PM 2.5 emissions and concentrations [16]. Lim et al (2005) analyzed factors affecting vehicle emissions and suggested that different methodologies provide different outputs depending on the level of traffic volume [17].…”

Section: Introductionmentioning

confidence: 99%

Road-Section-Based Analysis of Vehicle Emissions and Energy Consumption

et al. 2023

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To monitor air pollution on roads in urban areas, it is necessary to accurately estimate emissions from vehicles. For this purpose, vehicle emission estimation models have been developed. Vehicle emission estimation models are categorized into macroscopic models and microscopic models. While the calculation is simple, macroscopic models utilize the average speed of vehicles without accounting for the acceleration and deceleration of individual vehicles. Therefore, limitations exist in estimating accurate emissions when there are frequent changes in driving behavior. Microscopic emission estimation models overcome these limitations by utilizing the trajectory data of each vehicle. In this method, the total emissions in a road segment are calculated by adding together the emissions from individual vehicles. However, most research studies consider the total vehicle emissions in a road section without considering the difference in vehicle emissions at different locations of a selected road section. In this study, a road segment between two intersections was divided into sub-sections, and energy consumption and emission generation were analyzed. Since there are unique driving behaviors depending on the section of the road segment, energy consumption and emission generation patterns were identified. The findings of this study are expected to provide more detailed and quantitative data for better modeling of energy consumption and emissions in urban areas.

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