بررسی اثر به کارگیری سیستم‌های هوشمند حمل و نقل بر میزان انتشار کربن دی-اکسید (CO2)(مطالعه موردی محور کرج-چالوس) در ایران
محورهای موضوعی :
مدیریت محیط زیست
محمدرضا سماوی
1
,
مصطفی پناهی
2
,
زهرا عابدی
3
,
مجید احمدیان
4
1 - دانشجوی دکترای اقتصاد محیط زیست، دانشکده منابع طبیعی و محیط زیست، واحد علوم تحقیقات ، دانشگاه آزاد اسلامی، تهران،ایران
2 - دانشیار گروه مهندسی انرژی و اقتصاد، واحد علوم تحقیقات ، دانشگاه آزاد اسلامی، تهران،ایران * (مسوول مکاتبات)
3 - استادیار گروه مدیریت محیط زیست، دانشگاه آزاد اسلامی، واحد علوم تحقیقات تهران.
4 - استاد تمام گروه اقتصاد، دانشگاه تهران.
تاریخ دریافت : 1400/11/26
تاریخ پذیرش : 1402/01/17
تاریخ انتشار : 1402/05/01
کلید واژه:
پیامد زیست محیطی,
سیستم‌های هوشمند حمل و نقل,
محور کرج-چالوس,
کاهش CO2,
ترافیک,
چکیده مقاله :
زمینه و هدف: هدف از پژوهش حاضر بررسی تأثیر به کارگیری سیستم های هوشمند حمل و نقل ITS بر میزان انتشار کربن دی اکسید (CO2) (مطالعه موردی محور کرج-چالوس) می باشد. پژوهش حاضر از نظر طبقه بندی بر مبنی هدف، از نوع تحقیقات کاربردی است. هدف تحقیق کاربردی، توسعه دانش کاربردی در یک زمینه خاص است. روش تحقیق: هم چنین تحقیق حاضر، از نظر روش و ماهیت از نوع تحقیق توصیفی- همبستگی است. جامعه آماری تحقیق حاضر، خودروهایی می باشد که طی هشت روز پر تردد شهریورماه از ساعت 1 بامداد الی 24 شب، در محور کرج چالوس در سال 1398 در زمان مورد مطالعه تردد داشته اند و نمونه گیری خاص دیگری صورت نگرفته است. کلیه محاسبات و تجزیه و تحلیل ها، با استفاده از نرم افزارهای Excel و 10Eviews انجام گرفت. یافته ها: نتایج نشان داد که بکارگیری سیستم هوشمند حمل و نقل منجر به کاهش زمان سفر در محور کرج-چالوس و به تبع آن باعث کاهش انتشار گاز کربن دی اکسید (CO2) شده است. بحث و نتیجه گیری: یافته‌ها نشان داد که به کار گیری سیستم هوشمند حمل و نقل(ITS) در 8 روز مورد مطالعه، منجر به کاهش 2521 تن انتشار کربن دی اکسید در محورکرج-چالوس شده است.
چکیده انگلیسی:
Background and Objective: The current research is an applied research in terms of classification based on the purpose. The purpose of applied research is to develop applied knowledge in a specific field. Materials and Methodology: Also, the current research is a descriptive-correlation research in terms of method and nature. The statistical population of this research is the cars that traveled during eight busy days of September, from 1 am to 24 pm, in Karaj Chalus axis in 2018 during the study period, and no other specific sampling was done. All calculations and analyzes were done using Excel and 10Eviews software. Findings: The results showed that the use of the intelligent transportation system leads to a reduction in travel time on the Karaj-Chalos corridor and consequently reduced gas emissions. carbon dioxide (CO2). Discussion and Conclusion: The findings showed that the use of the Intelligent Transportation System (ITS) in the 8 days of the study has led to a reduction of 2521 tons of carbon dioxide emissions in the Karaj-Chalos axis.
منابع و مأخذ:
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Jamadi, H., Jamadi, H., 1398. Study of the impact of intelligent transportation systems on traffic management", the first national conference on geography and urban and rural planning. (In Persian)
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Khodabandehloo, R., Kosari, A., Garshasbi, M.A., Zohrehvand, R. 2018. Improving and controlling smart traffic by increasing urban and suburban transportation services (intelligent transportation systems). 6th International Conference on New Science and Technology Findings with a focus on science in the service of development. (In Persian)
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2021 International Conference on Computing, Electronic and Electrical Engineering
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Ghadbeyk, D., Ehsanifar, M., 1398. Development and implementation of model model for evaluating urban traffic management and intelligent transportation systems. 4th nternational Conference on New Research in Civil Engineering, Architecture, Urban Management and Environment. (In Persian)
Mohammadi Azartakaleh, G., Esmaeeli, G., Hamzehzarghani, F. 2018. Hardware and software infrastructure in the implementation of intelligent transportation system and urban traffic, The first conference on computer science, electrical engineering, communications and information technology in the Islamic world. (In Persian)
Saeedifard, A., Jahanian, M., Faryadres, M., 2018. Intelligent transportation systems in urban traffic managemen, 7th National Conference on Computer Science and Engineering and Information Technology. (In Persian)
Zoghi, H., Baghalnejad, A., Payvand, M., 2015. Functional analysis of intelligent ERP systems in the development of the transportation industry, The first conference on intelligent road transport systems. (In Persian)
Lee, S., Kim, Y., Kahng, H., Lee, S.K., Chung, S., Cheong, T., K., Park, J., Kim, S.B. Intelligent traffic control for autonomous vehicle systems based on machine learning, Expert Systems with Applications, Vol. 144, 113074.
Barth, M.J. Wu, G., Boriboonsomsin, K. 2015. Intelligent Transportation Systems and Greenhouse Gas Reductions, Renewable Energy Reports, Vol. 2, Issue 3, PP. 90–97.
_||_
Taj Al-Dini, B., 2013. The need to use intelligent transportation systems (intelligent transportation system) in the field of urban traffic management, Traffic Engineering Quarterly, consecutive 49. (In Persian)
Jamadi, H., Jamadi, H., 1398. Study of the impact of intelligent transportation systems on traffic management", the first national conference on geography and urban and rural planning. (In Persian)
Sharif Tehrani, S., Poorbagher, M., HagiSafari, M. 2018. Investigation and analysis of the effects of ITS implementation on the efficiency of public transportation system in Mashhad, Road Scientific Quarterly, Vol. 25, No. 90, pp. 56-47 [In Persian].
Khodabandehloo, R., Kosari, A., Garshasbi, M.A., Zohrehvand, R. 2018. Improving and controlling smart traffic by increasing urban and suburban transportation services (intelligent transportation systems). 6th International Conference on New Science and Technology Findings with a focus on science in the service of development. (In Persian)
Laima Okunevičiūtė Neverauskienė, Marta Novikova. Factors determining the development of intelligent transport systems.
2021 International Conference on Computing, Electronic and Electrical Engineering
Amini Tusi, H. Hossein Dokht, H., Ziaei, S.A., 2013. Application of intelligent systems in urban public transportation", National Conference on Sustainable Development and Urban Development, Isfahan Institute of Higher Education. (In Persian)
Ebrahimi, A., Fatemi, M., 2018. Study of the effective factors of smart city on creating a sustainable transportation system with a green economy approach, The first international conference and the second international conference on urban planning, architecture, civil engineering and knowledge-based art. (In Persian)
Ghadbeyk, D., Ehsanifar, M., 1398. Development and implementation of model model for evaluating urban traffic management and intelligent transportation systems. 4th nternational Conference on New Research in Civil Engineering, Architecture, Urban Management and Environment. (In Persian)
Mohammadi Azartakaleh, G., Esmaeeli, G., Hamzehzarghani, F. 2018. Hardware and software infrastructure in the implementation of intelligent transportation system and urban traffic, The first conference on computer science, electrical engineering, communications and information technology in the Islamic world. (In Persian)
Saeedifard, A., Jahanian, M., Faryadres, M., 2018. Intelligent transportation systems in urban traffic managemen, 7th National Conference on Computer Science and Engineering and Information Technology. (In Persian)
Zoghi, H., Baghalnejad, A., Payvand, M., 2015. Functional analysis of intelligent ERP systems in the development of the transportation industry, The first conference on intelligent road transport systems. (In Persian)
Lee, S., Kim, Y., Kahng, H., Lee, S.K., Chung, S., Cheong, T., K., Park, J., Kim, S.B. Intelligent traffic control for autonomous vehicle systems based on machine learning, Expert Systems with Applications, Vol. 144, 113074.
Barth, M.J. Wu, G., Boriboonsomsin, K. 2015. Intelligent Transportation Systems and Greenhouse Gas Reductions, Renewable Energy Reports, Vol. 2, Issue 3, PP. 90–97.
