Abstract
The impact of transport not only affects the environment but also the health of citizens. Every day our lungs filter 15 kilos of air, and if we live in a big city or next to a highway, that air will contain pollutants emitted by vehicles, which indirectly affect our health. Currently more than 50% of the world population live in cities and the main responsible for the loss of air quality are the moving sources, in the interval between 75% and 80% of the total pollution. It will be interesting to quantify this problem by making an environmental inventory to see how urban transport affects air quality. In this paper we develop a methodology to estimate traffic flows and the main goal is to create an inventory emission, in the center of city where most pedestrians and vehicles are concentrated.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Rupprecht Consult. The state of the art of sustainable urban mobility plans in Europe, Edinburgh Napier University, September 2012
Blanc, L.: La lutte contre le rechauffement climatitique: une croisade absurde, couteuse et inutile, societe de calcul mathematique SA, Aout 2015
Alexopoulos, A., Assimacopoulos, D., Mitsoulis, E.: Model for traffic emissions estimation. Atmos. Environ. 27B(4), 435–446 (1993)
Eerens, H.C., Sliggers, C.J., Van Den Hout, K.D.: The CAR model: the Dutch method to determine city street air quality. Atmos. Environ. 27B(4), 389–399 (1993)
Xia, L., Shao, Y.: Modelling of traffic flow and air pollution emission with application to Hong Kong island. Environ. Model. Softw. 20, 1175–1188 (2005)
Gois, V., Maciel, H., Noriega, L., Almeida, C., Torres, P., Mesquita, S., Ferreira, F.: A detailed urban road traffic emissions inventory model using aerial photography and GPS surveys. In: EPA’s 16th Annual International Emission Inventory Conference, 16 May 2007
Ahn, K., Rakha, H.: The effects of route choice decision on vehicle energy consumption and emissions. Transp. Res. Part D Transp. Environ. 13, 151–167 (2008)
Gostadi, M., Rossi, R., Gecchele, G., Lucia, L.D.: Annual average daily traffic estimation from seasonal traffic counts. Procedia – Soc. Behav. Sci. 87, 279–291 (2013)
Fu, M., Kelly, J.A., Clinch, J.P.: Estimating annual average daily traffic and transport emissions for a national road network: a bottom-up methodology for both nationally-aggregated and spatially-disaggregated results. J. Transp. Geogr. 58, 186–195 (2017)
Bharadwaj, S., Ballore, S., Rohit, R., Chandel, K.: Impact of congestion on greenhouse gas emissions for road transport in Mumbai metropolitan region. In: World Conference on Transport Research, WCTR 2016, Shanghai, 10–15 July 2016
Bisbe, S., Raffenel, D., Beauzamy, B.: Vitesse des vehicules et emissions de co2. Societe de calcul mathematique SA, outils d aide a la decision, aout 2013
Grote, M., Willaims, I., Preston, J., Kemp, S.: Including congestion effects in urban road traffic co2 emissions modeling: do local government authorities have the right option? Transp. Res. Part D 43, 95–106 (2016)
Sheffi, Y.: Urban Transportation Networks. Massachusetts Institute of Technology, Prentice-Hall, Englewood Cliffs (1985)
Wardrop, J.G.: Some theoretical aspects of road traffic research. In: Proceeding of the Institute of Civil Engineers (1953)
http://math.mit.edu/~rothvoss/18.304.3PM/Presentations/1-Melissa.pdf
Shyram: Multiply linked lists. http://www.classle.net/projects/multiply-linked-lists. Accessed 7 May 2012
Sustainable urban transport planing SUTP Manual, Guidance for stakeholders (2007)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Benhadou, M., Bufardi, N., Lyhyaouyi, A. (2019). Emission Inventory in Urban Road: Case Study Tangier City. In: Ezziyyani, M. (eds) Advanced Intelligent Systems for Sustainable Development (AI2SD’2018). AI2SD 2018. Advances in Intelligent Systems and Computing, vol 913. Springer, Cham. https://doi.org/10.1007/978-3-030-11881-5_9
Download citation
DOI: https://doi.org/10.1007/978-3-030-11881-5_9
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-11880-8
Online ISBN: 978-3-030-11881-5
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)