Reducing Transportation Greenhouse Gas Emissions Through the Development of Policies Targeting High-Emitting Trips
Open Access
- 18 April 2018
- journal article
- research article
- Published by SAGE Publications in Transportation Research Record: Journal of the Transportation Research Board
- Vol. 2672 (25), 11-20
- https://doi.org/10.1177/0361198118755714
Abstract
Traffic emission inventories have been under development for decades, often relying on data from traffic assignment models, ranging from macroscopic models generating average link speeds, to more detailed microscopic models with instantaneous speed profiles. Policy testing within such frameworks has often focused on identifying changes in total emissions, or in emissions aggregated at a zonal or street level. Emissions from specific trips or trajectories are seldom analyzed, although reductions in greenhouse gas (GHG) emissions can be achieved more efficiently when targeting high emitters. In this paper, we propose a different approach to reducing transportation GHG emissions, by catering policies to specific trips based on their emission burden. We focus on the City of Toronto downtown. Using second-by-second speed data for entire trajectories, GHGs (in CO2eq) and nitrogen oxides (NOx) emissions were estimated. We observe that the destinations attracting the highest trip emissions tend to be in the hospital and financial districts. Trips originating and ending in the downtown area are responsible for a small share of total emissions, although they have high emission intensity. Removing trips with high total emissions and high emission intensity led to significant reductions in CO2eq and NOx emissions, whereas removing shorter trips, did not have a significant influence on total emissions nor emission intensities.Keywords
This publication has 15 references indexed in Scilit:
- A framework for estimating traffic emissions: The development of Passenger Car Emission UnitTransportation Research Part D: Transport and Environment, 2016
- Review of the efficacy of low emission zones to improve urban air quality in European citiesAtmospheric Environment, 2015
- Sustainable passenger road transport scenarios to reduce fuel consumption, air pollutants and GHG (greenhouse gas) emissions in the Mexico City Metropolitan AreaEnergy, 2014
- Comparison of road traffic emission models in Madrid (Spain)Atmospheric Environment, 2012
- Using a traffic simulation model (VISSIM) with an emissions model (MOVES) to predict emissions from vehicles on a limited-access highwayJournal of the Air & Waste Management Association, 2012
- A local-scale low-carbon plan based on the STIRPAT model and the scenario method: The case of Minhang District, Shanghai, ChinaEnergy Policy, 2011
- Monitoring urban transport air pollution and energy demand in Rawalpindi and Islamabad using leap modelEnergy, 2010
- Integrating an Activity-Based Travel Demand Model with Dynamic Traffic Assignment and Emission ModelsTransportation Research Record: Journal of the Transportation Research Board, 2010
- Comparison of a road traffic emission model (HBEFA) with emissions derived from measurements in the Gubrist road tunnel, SwitzerlandAtmospheric Environment, 2005
- Development of VT-Micro model for estimating hot stabilized light duty vehicle and truck emissionsTransportation Research Part D: Transport and Environment, 2004