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FAN, Y. KLEMEŠ, J.
Original Title
Emission Pinch Analysis for Regional Transportation Planning: Stagewise Approach
Type
conference paper
Language
English
Original Abstract
The transportation sector is one of the main contributors to air emissions, both GHG and air pollutants. There have been various assessment approaches being proposed to support decision making. However, it still remains a challenge due to its dynamic nature. There has always been still a gap between the identified strategies and the readiness for implementation. The study aims to propose a modified stagewise graphical approach (Emission Pinch Analysis) to facilitate the planning of an environmentally sustainable transportation system in meeting the defined emission targets. The steps by steps framework are presented. The non-GHG emission, entire life cycle and temporal dimension are suggested to be included in accounting environmental sustainability. Strategies considered are the modal shift, increase of average occupants, alternative fuels/energy and technologies, and weight reduction. A case study on passenger transportation is presented to demonstrate the applicability. This study presents the novel idea in utilising Pinch Analysis methodology for regional transportation planning.
Keywords
Emission Pinch Analysis; transportation planning; modal shift; energy sources; passenger transportation; OPTIMIZATION; METHODOLOGY; SECTOR; TIME
Authors
FAN, Y.; KLEMEŠ, J.
Released
1. 8. 2019
Publisher
Institute of Electrical and Electronics Engineers Inc.
ISBN
978-953-290-091-0
Book
2019 4TH INTERNATIONAL CONFERENCE ON SMART AND SUSTAINABLE TECHNOLOGIES (SPLITECH)
Pages from
459
Pages to
464
Pages count
6
BibTex
@inproceedings{BUT162157, author="Yee Van {Fan} and Jiří {Klemeš}", title="Emission Pinch Analysis for Regional Transportation Planning: Stagewise Approach", booktitle="2019 4TH INTERNATIONAL CONFERENCE ON SMART AND SUSTAINABLE TECHNOLOGIES (SPLITECH)", year="2019", pages="459--464", publisher="Institute of Electrical and Electronics Engineers Inc.", doi="10.23919/SpliTech.2019.8783112", isbn="978-953-290-091-0" }