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Manouchehr Vaziri

Researcher at Sharif University of Technology

Publications -  38
Citations -  622

Manouchehr Vaziri is an academic researcher from Sharif University of Technology. The author has contributed to research in topics: Sustainability & Sustainable development. The author has an hindex of 9, co-authored 38 publications receiving 537 citations. Previous affiliations of Manouchehr Vaziri include Center for Global Development & University of Kentucky.

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Urban sustainable transportation indicators for global comparison

TL;DR: In this article, the authors compared various world cities ranked in terms of urban sustainable transport composite index and determined some important factors affecting urban transportation sustainability were determined by using correlation analyses between composite indices and cities characterizes.
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Evaluation of sustainable policy in urban transportation using system dynamics and world cities data: A case study in Isfahan

TL;DR: In this paper, a system dynamics model was developed to analyze the impacts of various transportation policies using pertinent data of world cities, and the study database was developed based on few comprehensive databases covering numerous cities over 4 decades, and 9 urban sustainable transportation indicators were selected, 3 indicators presenting each key group of environmental, economic and social sustainability.
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Sustainable transport indicators: Definition and integration

TL;DR: In this paper, a different interpretation of sustainable transportation, in which sustainability with respect to transportation sector for the selected countries is evaluated, is introduced, and the results depict an overall scheme for comparative assessment of transportation sustainability of the countries.
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Perceived factors affecting driver route decisions

TL;DR: In this paper, the route choice reasons of drivers making automobile work trips are analyzed in order to gain an insight into driver's route choice perceptions, and the results show that drivers often perceived four to six reasons together as the criterion for route selection.
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Development of highway congestion index with fuzzy set models

TL;DR: Although the study findings are based on a rather limited database and are location specific, the applied methodology can be used to capture congestion intensity perception in any future index development.