Volume 2, Issue 4 (6-2011)                   jemr 2011, 2(4): 171-187 | Back to browse issues page

XML Persian Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

manzoor D, Safakish M K. Impact of Environmental and Economic Policies on Urban Traffic Behavior Using Hybrid Top-down Bottom-up Approach: Case of Tehran. jemr 2011; 2 (4) :171-187
URL: http://jemr.khu.ac.ir/article-1-119-en.html
1- Imam Sadiq University , manzoor@isu.ac.ir
2- Imam Sadiq University
Abstract:   (15324 Views)
Increase in environmental pollutions of fossil fuels calls for policies stimulating clean technology deployment especially in the transportation sector. To evaluate the efficacy of these policies we should explore the preferences of consumers regarding different technologies. In this paper we use a discrete choice approach used in “Canadian Integrated Model system” (SIMS) to identify the behavioral components. This model has a hybrid top-down bottom-up structure. For this purpose we estimate a multi-nominal logit model (MNL) for different automobile technologies and different transportation modes based on preferences revealed by a sample of 250 Tehran citizens. Then, we evaluate the effects of economic, technological and environmental policies on market share of different automobile technologies and air pollution in Tehran. These policies include gasoline price increase, pollution tax, limitations on single passenger cars and limitations on use of gasoline driven cars. According to this analysis, technology based policies can effectively correct the market shares towards clean traffic technologies
Full-Text [PDF 767 kb]   (6253 Downloads)    
Type of Study: Applicable | Subject: انرژی، منابع و محیط زیست
Received: 2010/12/5 | Accepted: 2011/11/25 | Published: 2011/09/15

Add your comments about this article : Your username or Email:
CAPTCHA

Send email to the article author


Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2024 CC BY-NC 4.0 | Journal of Economic Modeling Research

Designed & Developed by : Yektaweb