Impact assessment of future fleet compositions in vehicle emissions in urban areas: A methodological framework and a case study

被引:0
|
作者
Nisyrios, Emmanouil [1 ]
Amorim, Marco Raul Soares [2 ]
Cantelmo, Guido [3 ]
Gkiotsalitis, Konstantinos [1 ]
Antoniou, Constantinos [4 ]
机构
[1] Natl Tech Univ Athens, Dept Transportat Planning & Engn, Railways & Transport Lab, Iroon Polytech 5, Athens 15773, Greece
[2] Fraunhofer Inst Ind Engn IAO, Mobil Innovat, Nobelstr 12, D-70569 Stuttgart, Germany
[3] Tech Univ Denmark, Dept Technol Management & Econ Transportat Syst Mo, Akademivej 358,114, DK-2800 Kongens Lyngby, Denmark
[4] Tech Univ Munich, Transportat Syst Engn, Arcisstr 21, D-80333 Munich, Germany
关键词
Discrete choice model; Macroscopic traffic simulation; Monte Carlo simulation; Fleet composition; Greenhouse gases; Air pollutants; GREENHOUSE-GAS EMISSIONS; ELECTRIC VEHICLES; MODE CHOICE; AIR-POLLUTANTS; MOBILITY; TRANSPORT; PROPENSITY; GERMANY; REDUCE; ENERGY;
D O I
10.1016/j.cstp.2024.101285
中图分类号
U [交通运输];
学科分类号
08 ; 0823 ;
摘要
This study explores the impact of emerging vehicle technologies on direct urban traffic emissions. It investigates emission reduction potential from shifts in fleet compositions and modal choices, especially considering climate change. To achieve this, three key research areas are explored for historical, current, and future scenarios (up to 2050): mode choice, emission factors for different vehicle categories, and diverse vehicle propulsion technologies. The estimation of the modal split is pivotal, developing a methodology utilizing Stated Preference survey data, discrete choice modeling, Monte Carlo simulations, and macroscopic traffic simulations. Future scenarios derive from the reference year's modal split, and emission factors and fleet compositions are predetermined via an extensive literature review, aiding the assessment of their respective emissions. A subsequent sensitivity analysis identifies the impact of specific parameters on emissions, guiding future research focus. Study results underscore differences in greenhouse gas emissions and primary air pollutants between base and future scenarios.
引用
收藏
页数:15
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