Fuel Consumption Monitoring through COPERT Model—A Case Study for Urban Sustainability

Ali, Muhammad Abu Sufyan; Kamal, Muhammad Daud; Tahir, Ali; Atif, Salman

doi:10.3390/su132111614

Cited by 15 publications

(11 citation statements)

References 37 publications

(39 reference statements)

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“…The analysis carried out for the last 15 years in Spain has been quite revealing about a problem of urban planning in cities that, due to its fairly recent nature, has had little attention paid to it in the current scientific literature [ 46 , 47 , 48 , 49 ]. One of the issues found during the bibliographic review of the 47 urban mobility plans analyzed, was the existence of a certain heterogeneity in their approach.…”

Section: Discussionmentioning

confidence: 99%

The Contribution of MCDM to SUMP: The Case of Spanish Cities during 2006–2021

García-Ayllón

Hontoria

Nolberto³

2021

IJERPH

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Sustainable Urban Mobility Plans (SUMP) are increasingly popular planning tools in cities with environmental issues where numerous actions are usually proposed to reduce pollution from urban transport. However, the diagnosis and implementation of these processes requires broad consensus from all stakeholders and the ability to fit them into urban planning in such a way that it allows the proposals to become realistic actions. In this study, a review of the sustainable urban mobility plans of 47 cities in Spain during the last 15 years has been carried out, analyzing both the diagnosis and proposal of solutions and their subsequent implementation. From the results obtained, a new framework based on a structured hybrid methodology is proposed to aid decision-making for the evaluation of alternatives in the implementation of proposals in SUMP. This hybrid methodology considers experts’ and stakeholders’ opinion and applies two different multi-criteria decision making (MCDM) methods in different phases to present two rankings of best alternatives. From that experience, an analysis based on the MCDM methods called ‘Sequential Interactive Modelling for Urban Systems (SIMUS)’ and weighted sum method (WSM) was applied to a case study of the city of Cartagena, a southeastern middle-size city in Spain. This analytic proposal has been transferred to the practical field in the SUMP of Cartagena, the first instrument of this nature developed after COVID-19 in Spain for a relevant city. The results show how this framework, based on a hybrid methodology, allows the development of complex decision mapping processes using these instruments without obviating the need to generate planning tools that can be transferred from the theoretical framework of urban reality.

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Section: Discussionmentioning

confidence: 99%

The Contribution of MCDM to SUMP: The Case of Spanish Cities during 2006–2021

García-Ayllón

Hontoria

Nolberto³

2021

IJERPH

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“…where: Ei -emission of exhaust component i (g), FCj,m -fuel consumption for vehicle category j, using fuel m (kg), EFi,j,m -fuel consumption emission factor of component i for vehicle category j and fuel m (g/kg). We can consider petrol, diesel, LPG, and CNG as fuels in this model [74].…”

Section: Macroscopic Emission Modelsmentioning

confidence: 99%

Vehicle Emission Models and Traffic Simulators: A Review

Mądziel¹

2023

Preprint

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Accurate estimation of vehicle emissions is essential and can be helpful in the decision-making process. Thanks to calculation methods, it is possible to accurately estimate the emissions that result from driving a car and to determine their impact on, for example, the health of pedestrians who are on the pavement near an arterial road. Recent years have seen an increase in the use and importance of emission models, as well as vehicle traffic simulation models. Increasingly, emission models are being combined with traffic simulation models, as it is not practical to actually measure the on-road emissions of an entire fleet of vehicles over a given stretch of road. This paper provides an overview of the selected work on the topic of emission modelling and vehicle traffic simulation models. The models are distinguished according to their respective scales of accuracy, i.e., micro, meso, and macro. Selected work combining emission and traffic simulation models is also presented, as well as development trends in the field. In particular, the paper also highlights the fact of proper calibration of vehicle traffic simulation models in order to obtain the most reliable vehicle emissions results from computational models. The review of the works carried out may be helpful for future projects concerning the use of simulation tools for transport and environmental decision-makers in the area of arterial roads.

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“…compared to diesel buses. Ali et al [34] addressed vehicle emissions for a developing country by applying COPERT model which utilises the impact of fuel technology, vehicle engine type and technology level, speed, and mileage on the emissions. However, a strong criticism of these models is that they use average speed to calculate the effect of driving on emissions without any regards for the on-road conditions and the actual speed profiles that affect the accuracy of results [35].…”

Section: Introductionmentioning

confidence: 99%

A Microsimulation Modelling Approach to Quantify Environmental Footprint of Autonomous Buses

2022

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In this study a novel microsimulation-based methodology for environmental assessment of urban systems is developed to address the performance of autonomous mass-mobility against conventional approaches. Traffic growth and microsimulation models, calibrated using real data, are utilised to assess four traffic management scenarios: business-as-usual; public bus transport case; public-bus rapid transit (BRT) case; and, a traffic-demand-responsive-autonomous-BRT case, focusing on fuel energy efficiency, headways, fleet control and platooning for lifecycle analysis (2015–2045) of a case study 3.5 km long 5-lane dual-carriageway section. Results showed that both energy consumption and exhaust emission rates depend upon traffic volume and flow rate factors of vehicle speed-time curves; acceleration-deceleration; and braking rate. The results measured over-reliance of private cars utilising fossil fuel that cause congestions and high environmental footprint on urban roads worsen causing excessive travel times. Public transport promotion was found to be an effective and easy-to-implement environmental burden reduction strategy. Results showed significant potential of autonomous mass-mobility systems to reduce environmental footprint of urban traffic, provided adequate mode-shift can be achieved. The study showed utility of microsimulations for energy and emissions assessment, it linked bus network performance assessment with environmental policies and provided empirical models for headway and service frequency comparisons at vehicle levels. The developed traffic fleet operation prediction methodology for long-term policy implications and tracking models for accurate yearly simulation of real-world vehicle operation profiles are applicable for other sustainability-oriented urban traffic management studies.

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Fuel Consumption Monitoring through COPERT Model—A Case Study for Urban Sustainability

Cited by 15 publications

References 37 publications

The Contribution of MCDM to SUMP: The Case of Spanish Cities during 2006–2021

The Contribution of MCDM to SUMP: The Case of Spanish Cities during 2006–2021

Vehicle Emission Models and Traffic Simulators: A Review

A Microsimulation Modelling Approach to Quantify Environmental Footprint of Autonomous Buses

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