Provision of System for Internalization of Damage from Actual Emissions of Pollutants by Vehicles in Urban Areas
Abstract
1. Introduction
2. Materials and Methods
2.1. Method for Assessing Pollutant Emissions from Motor Vehicles to Form an Accounting System on the Territory
- The effective engine power is calculated for vehicle operating modes depending on the driving parameters (the average vehicle speed is taken as the main kinematic characteristic; the acceleration of the mobile source is also used for a more accurate analysis);
- The volumetric flow rate of exhaust gases is calculated as a function of the effective engine power and the associated excess air coefficient, parameters dependent on the composition of the fuel, combustible mixture, and characteristics of the piston–cylinder group;
- The concentration of microimpurities in the combustion products of the mixture is determined depending on the effective engine power or excess air coefficient;
- The mass flow rate of pollutants is found as the product of the volumetric flow rate of exhaust gases and the concentration of microimpurities.
2.2. Data for Modeling the Mass of Pollutants Emitted by a Single Vehicle on a Road Network Section
- The calculations are performed for a road network section with a length of 185.6 m, urban conditions, and a minimum slope between the road surface and the horizontal plane.
- The object of the study is a passenger car with a gasoline engine, a total mass of 1500 kg and a rated power of 69,250 W.
- The estimated period and year of manufacture of the vehicle are 2008.
- The average speed of the passenger car on the considered section is 10 m/s.
- The fractions of engine operation time in different modes are presented in Table 2.
2.3. Reducing the Negative Impact of Motor Transport on the Environment Using Environmental Policy Instruments
3. Results
3.1. Theoretical Foundations of the System for Accounting for Actual Emissions of Pollutants by Motor Vehicles on the Territory
- The total number, composition and operating time of vehicles operating on the territory;
- Operational characteristics of motor vehicles in the territory (speed, proportions of time spent by vehicle engines in certain modes, load parameters of engines with different ignition methods of the working mixture and mass–energy indicators);
- The content of harmful substances in the exhaust gases of vehicles depending on the engine load.
3.2. The Modeling of Pollutant Emissions Masses by a Single Vehicle on a Road Network Section
3.3. System of Environmental Policy Instruments to Ensure the Internalization of Economic Damage from Actual Emissions of Pollutants by Motor Vehicles
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
Abbreviations
| VET | Vehicle emission testing |
References
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| Source | Topic | The Method of Estimating the Mass of Pollutant Emissions by Motor Vehicles, Its Features | Limitations |
|---|---|---|---|
| [11] | Part I: Externalities and Economic Policies in Road Transport (review) | Not considered | An incentive policy requires accurate data on marginal external costs, which are difficult to implement if the information is incomplete. |
| [12] | Can New Energy Vehicles Subsidy Curb the Urban Air Pollution? Empirical Evidence from Pilot Cities in China. | Panel data analysis, evaluation based on a fixed effect. Fixed effect score. | The use of electricity produced primarily from coal can offset the environmental benefits of new energy vehicles source (NEVs). Comparison without detailing the possible mass emissions of pollutants from vehicles, the range of values of which may be significant. The accuracy of the estimate is conditional. The difficulties of comparing alternatives. |
| [13] | How Does Vehicle Emission Control Policy Affect Air Pollution Emissions? Evidence from Hainan Province, China | Using the GAINS IV Asia model for integrated assessment. Estimation based on specific emissions of pollutants per unit mileage. Additional factors:
| Emission coefficients and cost parameters for emission control technologies are developed within the model based on the literature and consultations with stakeholders. This can both help to clarify the specific emissions in the territory, and distort them under pressure from stakeholders. Adaptation is needed for different territories. The accuracy of the estimate depends on the accuracy of the data. It may be difficult to compare alternatives. There is limited flexibility for participants. Low accuracy in determining the location of emissions. |
| [14] | Managing Bottleneck Congestion with Tradable Credit Scheme under Demand Uncertainty | The Monte Carlo method. There is no estimate of emissions. | An incentive policy requires accurate data on marginal external costs, which are difficult to implement if the information is incomplete. |
| [7] | Road Fuel Taxes in Europe: Do They Internalize Road Transport Externalities? | Estimation of the mass of pollutant emissions depending on fuel consumption. Using emission data from the European Environment Agency and the International Energy Agency; Calculation of external costs based on models and data from EU-funded projects, as well as TREMOVE and Odyssee databases. | Fuel taxes are not an accurate enough tool to account for pollutants other than CO2; The difficulty of taking into account differences in costs between countries when developing universal tax mechanisms. Difficulties in comparing alternatives. There is limited flexibility for participants. Low accuracy in determining the location of emissions. It is more of a fiscal function. |
| [9] | Quantifying Policy Gaps for Achieving the Net-Zero GHG Emissions Target in the U.S. Light-Duty Vehicle Market through Electrification | VISION model (for forecasting vehicle fleet and greenhouse gas emissions); Estimation based on specific emissions of pollutants per unit mileage. Additional factors:
| Difficulties in comparing alternatives. There is limited flexibility for participants. The average accuracy of determining the location of emissions. The accuracy of the estimate depends on the accuracy of the data. The need to adapt for other regions. |
| [10] | Fuel Consumption Dynamics in Europe: Tax Reform Implications for Air Pollution and Carbon Emissions. | Analysis of panel data on 16 European countries for 1990–2012. | Previous studies have not fully taken into account the transition to diesel and the endogeneity of fuel prices; The difficulty of estimating the dynamics of fuel consumption changes over time. Difficulties in comparing alternatives. There is limited flexibility for participants. Low accuracy in determining the location of emissions. It is more of a fiscal function. There is no way for stakeholders to promptly report emission data. The stimulation of technology is limited. |
| [5] | Autonomous Electric Vehicles Can Reduce Carbon Emissions and Air Pollution in Cities | For internal combustion engines, the estimate is based on specific emissions of pollutants per unit of fuel consumption. For autonomous electric vehicles, the estimate is based on energy consumption and the carbon footprint of the network. Additional factors: consideration of acceleration, braking, and road slope. | Potential increases in travel demand with the introduction of autonomous vehicles may reduce the environmental impact.; The influence of the source of electricity generation on the environmental efficiency of electric vehicles; Estimating pollutant emissions from fuel consumption may not take into account some behavioral or macroeconomic factors. Only CO2 and NOx emissions are taken into account |
| [23] | The Effectiveness of Eco-Compensation in Environmental Protection -A Hybrid of the Government and Market | Synthetic Control Method. Data analysis from various sources. | High transaction costs and imperfect payment mechanisms for ecosystem services |
| [26] | Internalization of External Congestion and CO2 emissions Costs Related to Road Transport: The Case of Tunisia | Estimation based on specific pollutant emissions per unit of fuel consumption. | Estimation of CO2 emissions only. Difficulties in comparing alternatives. Low accuracy in determining the location of emissions. The accuracy of the estimate depends on the accuracy of the data. |
| [30] | Transport Decarbonization in Big Cities: An Integrated Environmental Co-Benefit Analysis of Vehicles Purchases Quota-Limit and New Energy Vehicles Promotion Policy in Beijing. | The MAPLE model (Multi-pollutant Abatement Planning and Long-term benefit Evaluation) Estimation based on specific emissions of pollutants per unit mileage. Additional factors:
| Difficulties in comparing alternatives. The accuracy of the estimate depends on the accuracy of the data. The need to adapt for other regions. There is limited flexibility for participants. The average accuracy of determining the location of emissions. There is no way for stakeholders to promptly report emission data. |
| [32] | Carbon Emission Trading System for China’s Road Freight Transport: Considering Reward and Punishment Ladders | Estimation based on average specific CO2 emissions per unit of fuel consumption. The mass of emissions is determined taking into account the type of fuel, the age of the transport, the grouping of freight transport by weight and kilometers traveled. To calculate the CO2 emissions, the full load and maximum weight of the vehicle are considered. | Accounting for CO2 emissions only. Difficulties in comparing alternatives. The average accuracy of determining the location of emissions. Incentives for updating the fleet of vehicles on the territory. It requires the creation and maintenance of a control system. The accuracy of the estimate depends on the accuracy of the data. |
| [38] | Acceptability of a Mobility Pricing Scheme: Reducing Externalities in Urban Transportation. | The study uses data from local, national, and international sources, as well as peer-reviewed publications, to assess the external costs of various types of mobility. | An incentive policy requires accurate data on marginal external costs, which are difficult to implement if the information is incomplete. |
| [4] | Pricing Vehicle Emissions and Congestion Externalities Using a Dynamic Traffic Network Simulator | Using the dynamic simulator of METROPOLIS transport networks. Estimation based on specific emissions of pollutants per unit mileage. Additional factors:
| Difficulties in comparing alternatives. The accuracy of the estimate depends on the accuracy of the data. The need to adapt for other regions. There is limited flexibility for participants. The average accuracy of determining the location of emissions. There is no way for stakeholders to promptly report emission data. |
| [37] | Ending the Myth of Mobility at Zero Costs: An External Cost Analysis. | Estimation based on specific emissions of pollutants per unit mileage. Data on emission factors are used from the HBEFA handbook and the TREMOD tool. | The methodology is mainly applicable to urban conditions; it is difficult to adapt it for other territories. The model is simplified and does not take into account the complexity of mobility-related solutions. The results are not suitable for detailed spatial and temporal studies. |
| Alternative Vehicle Motion Characteristics | Idling | Acceleration | Constant Speed | Braking |
|---|---|---|---|---|
| Alternative 1 | 0.12 | 0.37 | 0.22 | 0.29 |
| Alternative 2 | 0.17 | 0.32 | 0.22 | 0.29 |
| Alternative 3 | 0.17 | 0.27 | 0.22 | 0.34 |
| Alternative 4 | 0.17 | 0.27 | 0.27 | 0.29 |
| Alternative 5 | 0.27 | 0.27 | 0.22 | 0.24 |
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Kurdyukov, V.; Borisova, L.; Avlasenko, I.; Shipilin, P.; Wang, X. Provision of System for Internalization of Damage from Actual Emissions of Pollutants by Vehicles in Urban Areas. Urban Sci. 2026, 10, 355. https://doi.org/10.3390/urbansci10070355
Kurdyukov V, Borisova L, Avlasenko I, Shipilin P, Wang X. Provision of System for Internalization of Damage from Actual Emissions of Pollutants by Vehicles in Urban Areas. Urban Science. 2026; 10(7):355. https://doi.org/10.3390/urbansci10070355
Chicago/Turabian StyleKurdyukov, Vladimir, Lyudmila Borisova, Ilona Avlasenko, Pavel Shipilin, and Xudong Wang. 2026. "Provision of System for Internalization of Damage from Actual Emissions of Pollutants by Vehicles in Urban Areas" Urban Science 10, no. 7: 355. https://doi.org/10.3390/urbansci10070355
APA StyleKurdyukov, V., Borisova, L., Avlasenko, I., Shipilin, P., & Wang, X. (2026). Provision of System for Internalization of Damage from Actual Emissions of Pollutants by Vehicles in Urban Areas. Urban Science, 10(7), 355. https://doi.org/10.3390/urbansci10070355
