Please use this identifier to cite or link to this item:
http://hdl.handle.net/1942/26699
Title: | Pro-Environmental Potential in Activity-Travel Routine of Individuals:A Data Driven Computational Algorithm | Authors: | AHMED, Shiraz ADNAN, Muhammad JANSSENS, Davy YASAR, Ansar Kumar, Prashant Shakshuki, Elhadi M. |
Issue Date: | 2018 | Publisher: | Elsevier B.V. | Source: | Shakshuki, Elhadi M.; Yasar, Ansar-Ul-Haque (Ed.). The 9th International Conference on Ambient Systems, Networks and Technologies (ANT 2018) / The 8th International Conference on Sustainable Energy Information Technology (SEIT-2018) / Affiliated Workshops, Elsevier B.V.,p. 541-548 | Series/Report: | Procedia Computer Science | Series/Report no.: | 130 | Abstract: | Informational interventions are considered important to bring positive changes in attitudes and perception about pro-environmental life styles among individuals. In relation to mobility aspects, it is vital to identify relatively easier changes that have potential to reduce negative impacts of mobility on environment and individual health. This paper provides a comprehensive methodological framework and developed a computation algorithm that helps identify such an easy changes in the travel behavior of an individual. The development of algorithm is based on a variety of different data sources such as activity-travel diaries and related constraint information, meteorological conditions, bicycle and public transport supply data. A variety of rules that are part of the computational algorithm are taken from the transport modelling literature, where constraints and factors were examined for various activity-travel decisions. Three major aspects of activity-travel behavior such as lesser car use, cold start of car engines and participation in non-mandatory outdoor activities are considered in assessing pro-environmental potential. The algorithm is applied to data collected, using citizens from Hasselt and their pro-environmental potential is determined, which has been found significant. | Keywords: | pro-environmantal potential; activity-travel behavior; informational intervention; computational algorithm | Document URI: | http://hdl.handle.net/1942/26699 | DOI: | 10.1016/j.procs.2018.04.079 | ISI #: | 000684379100068 | Rights: | © 2018 The Authors. Published by Elsevier B.V | Category: | C1 | Type: | Proceedings Paper | Validations: | ecoom 2022 vabb 2020 |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
shiraz etal 2018.pdf | Published version | 559.03 kB | Adobe PDF | View/Open |
SCOPUSTM
Citations
1
checked on Sep 3, 2020
WEB OF SCIENCETM
Citations
1
checked on Oct 14, 2024
Page view(s)
170
checked on Sep 5, 2022
Download(s)
202
checked on Sep 5, 2022
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.