1Department of the Environment, Alborz Campus, University of Tehran, Alborz, Iran
2Department of Environmental Engineering, Graduate Faculty of the Environment, University of Tehran, Tehran, Iran
3School of Mechanical Engineering, Sharif University of Technology, Tehran, Iran
The aim of this study is to evaluate the obstacles due to a DPSIR model combined with fuzzy analytic hierarchy process technique. Hence, to prioritize the responses regarding the driving forces, pressures, states and impacts, the hierarchy of the model is established. Evaluations and prioritization of model results of urban transport situation in Tehran have provided a number of necessary issues for strategic planning to reduce local air pollution and emission of greenhouse gases by prioritizing their effectiveness in the implementation, including; a) development and improvement of public transport (R1), b) improvement of fuel quality (R2), c) improvement of vehicle emission standards (R3), d) vehicle inspection (R4), f) traffic management (R5). In this study, responses to improve the factors of pressure, stimulus, the current state and the impacts were examined and compared hierarchically. Finally, their priority relative to each other was achieved. Development and improvement of public transport, improvement of the quality of fuel, improvement of vehicle emission standards, vehicle check-up and finally urban traffic management were identified respectively as practical steps to control and reduce air pollution in Tehran.
Air pollution control in Tehran's metropolitan city is carried out by hybrid DPSIR and FAHP
There is an urgent need to improve fuel quality in car fleets in Great Tehran
Improvement of vehicle emission standards along with development of public transport can lead to substantial decrease in pollutants
Adams, M.D.; Kanaroglou, P.S., (2016). Mapping real-time air pollution health risk for environmental management: Combining mobile and stationary air pollution monitoring with neural network models. J. Environ. Manage., 16(8): 133-141 (9 pages).
Atash, F., (2007). The deterioration of urban environments in developing countries: Mitigating the air pollution crisis in Tehran, Iran., Cities, 24(6): 399-409 (11 pages).
Aich, S.; Tripathy, S., (2014). An interpretive structural model of green supply chain management in Indian computer and its peripheral industries. Int. J. Procurement Manage., 7(3): 239-256 (18 pages).
Apenteng, B.A.; Nayar, P.; Yu, F.; Adams, J.; Opoku, S.T., (2015). Organizational and environmental correlates of the adoption of a focus strategy in U.S. hospices. Healthcare Manage. Rev., 40(2): 148-158 (11 pages).
Austin, D.G., (2007). Strategy for managing environmental liabilities in an onshore oil field. Soc. Pet. Eng., 20(3):120-129 (9 pages).
Beamon, B.M., (2005). Environmental and sustainability ethics in supply chain management. Sci. Eng. Ethics., 11(2): 221-234 (13 pages).
Chang, C.W.; Wu, C.; Lin, H., (2009). Applying fuzzy hierarchy multiple attributes to construct an expert decision making process. Expert Syst. Appl., 36(4): 7363-7368 (6 pages).
Chen, J.-K.; Chen, S., (2010). Aviatic innovation system construction using a hybrid fuzzy MCDM model. Expert Syst. Appl., 37(12): 8387-8394 (8 pages).
Deng, Y.; Zhenfu, Z.; Qi, L., (2006). Ranking fuzzy numbers with an area method using radius of gyration. Comput. Math. Appl., 51(6): 1127-1136 (10 pages).
Emerya, M.; Daviesa, A.; Griffithsb, A.; Williams, K., (2007). Environmental and economic modeling: A case study of municipal solid waste management scenarios in Wales. Resour. Conserv. Recycl., 49(3): 244-263 (20 pages).
Hadad, K.; Mehdizadeh, S.; Sohrabpour, M., (2003). Impact of different pollutant sources on Shiraz air pollution using SPM elemental analysis. Environ. Int. J., 29(1): 39-43 (5 pages).
Halek, F.; Kavouci, A.; Montehaie, H., (2004). Role of motor-vehicles and trend of air borne particulate in the Great Tehran area, Iran. Int. J. Environ. Health Res.,14(4): 307-313 (6 pages).
Halkos, G.E.; Papageorgiou, G.J., (2016). Environmental amenities as a renewable resource: management and conflicts. Environ. Econ. Policy Stud., 2(6): 1-23 (23 pages).
Ham, W., (1998). Adaptive fuzzy sliding mode control of nonlinear system. Fuzzy Systems, IEE Transactions, 6(2): 315-321(7 pages)
Hosseinpoor, A.R.; Forouzanfar, M.H.; Yunesian, M.; Asghari, F.; Naieni, K.H.; Farhood, D., (2005). Air pollution and hospitalization due to angina pectoris in Tehran, Iran: a time-series study. Environ. Res., 2005. 99(1): 126-131 (5 pages).
Iqbal, M.Z.; Shafig, M.; Qamar Zaidi, S., (2015). Effect of automobile pollution on chlorophyll content of roadside urban trees. Global J. Environ. Sci., Manage., 1(4): 283-296 (14 pages).
Ju, X.T.; Xing, G.X.; Chen, X.P.; Zhang, S.L.; Zhang, L.J.; Liu X.J.; Cui, Z.L.; Yin, B., (2009). Reducing environmental risk by improving N management in intensive Chinese agricultural systems. Proceedings of the National Academy of Sciences of the United States of America, 106(9): 3041–3046 (5 pages).
Karbassi, A.R.; Abbasspour, M.; Sekhavatjou, M.S.; Ziviyar, F.; Saeedi, M., (2008). Potential for reducing air pollution from oil refineries. Environmental monitoring and assessment 145(1-3): 159-166 (8 pages).
Maat, S.M.B.; Zakaria,E., (2010). An Exploration of Mathematics Teachers' Reflection on Their Teaching Practices. Asian Soc. Sci. J., 6(5): 147-153 (7 pages).
Massoud, M.; Makarem, N.; Ramadan, W.; Nakkash, R., (2015). Environmental management practices in the Lebanese pharmaceutical industries: implementation strategies and challenges. Environ. Monit. Assess., 187(3):107-117 (11 pages).
Maxim, L.; Spangenberg, J.; O'Connor, M., (2009). An analysis of risks for biodiversity under the DPSIR framework. Ecol. Econ., 6(9): 12-23 (12 pages).
Naddafi, K., (2012). Health impact assessment of air pollution in megacity of Tehran, Iran. Iran. J. Environ. Health Sci., Eng., 9(1): 118–124 (7 pages).
Nasseri, S.; Sohrabi, M., (2010). Ranking fuzzy numbers by using radius of gyration. Aust. J. Basic Appl. Sci., 4(4): 658-664 (7 pages).
Nieto-Morote, A.; Ruz-Vila, F., (2012). A fuzzy multi-criteria decision-making model for construction contractor prequalification. Automation in Construction, 25(0): 8-19 (12 pages).
Pan, N., (2008). Fuzzy AHP approach for selecting the suitable bridge construction method. Automation in Construction, 17(8): 958-965 (8 pages).
Saaty, T.L., (2000). Fundamentals of decision making and priority theory with the analytic hierarchy process. Rws Publications, pp 478.
Saaty, T.L., (1994). Highlights and critical points in the theory and application of the analytic hierarchy process. Eur. J. Oper. Res., 74(3): 426-447 (21 pages).
Salehi, F.; Karbassi, A.R.; Khashaypoor, M. (2016). Environmental impact assessment of bus rapid transit (BRT) in the Metropolitan City of Tehran. International Journal of Human Capital in Urban Management 1(1): 47-56 (10 pages).
Sekhavatjou, M.S.; Alhashemi, A.H.; Karbassi, A.R.; Daemolzekr, E., (2011). Minimization of air pollutants emissions by process improvement of catalytic reforming unit in an Iranian old refinery. Clean Technologies and Environmental Policy 13(5): 743-749 (7 pages).
Svarstada, H.; Kjerulf Petersenb, L.; Rothmanc, D.; Siepeld, H.; Watzolde, H., (2008). Discursive biases of the environmental research framework DPSIR. Land Use Policy, 2(5): 116-125 (10 pages).
Taylana, O.; Bafailb, A.; Abdulaala, R.; Kablia, M., (2014). Construction projects selection and risk assessment by fuzzy AHP and fuzzy TOPSIS methodologies. Appl. Soft Comput., 17(0): 105-116 (11 Pages).
Tamošaitienė, J.; Zavadskas, E.K.; Turskis, Z., (2013). Multi-criteria Risk Assessment of a Construction Project. Procedia Comput. Sci., 17: 129-133 (5 pages).
Tehrani, S.M.; Karbassi, A.R., (2005). Application of E-commerce in local home shopping and its consequences on energy consumption and air pollution reduction. Iran. J. Environ. Sci. Eng., 2(4): 247-250 (4 pages).
Zeng, J.; Smith, N.J., (2007). Application of a fuzzy based decision making methodology to construction project risk assessment. Int. J. Project Manage., 25(6): 589-600 (12 pages).
Zhong, L.; Buckleya, R.; Wardleb, C.; Wanga, L., (2015). Environmental and visitor management in a thousand protected areas in China. Biol. Conserv., 18(1): 219-225 (7 pages).
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