Behavior based strategy modeling for energy and environmental planning using agent-based simulation (An application to technology diffusion in Philippines public transportation)
Clicks: 2
ID: 286915
2014
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Popular Article
0.3
/100
2 views
0 readers
AI Quality Assessment
Not analyzed
Readership in this journal
PopularRanked #2,586 of 3,757 articles by views in Malay Journal
Most read
Least read
Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 3,757 in total.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
Transportation contributes to resource depletion and has other negative impacts on the environment. Air pollutant emissions from transportation sector derive mainly from the use of fossil fuels and make it to be a suitable choice for investigating opportunities to mitigate climate change. Over-aged vehicles play significant role in energy demand and air pollution in most unindustrialized countries. Since adoption of a new technology is not only based on technical properties, policy makers must also consider human behavior. Sophisticated modeling techniques can help policy makers examine technology interventions aimed at addressing climate change mitigation and other environmental issues. Furthermore, other studies have indicated that not only agent heterogeneity but also social influence and network configuration affect diffusion of innovation. Consequently, both social and psychological factors need to be considered when describing and predicting the behavior of consumers. Agent-based model (ABM), which is typically a bottom-up approach, is capable of capturing those factors. It starts from modeling consumer’s decision-making and simulates the diffusion as an aggregate process of individual adoption decisions. This is a suitable approach when information exchanges in a social network and individual heterogeneity play a role. Despite its capability, ABM has mostly been applied as an experimentation tool to demonstrate diffusion patterns resulting from simple decision rules followed by different artificial agents in the system. This study presents a generic agent-based model considering influence of diesel price fluctuations and rate of inflation on individual decision-making process and captures psychological, social and behavioral interactions among people to explore diffusion of technology aiming at energy and environmental planning and policy making. Moreover, strives for incentivize the stakeholders were taken into account. The most obstinate fleet, the old public utility jeepney (PUJ) fleet in Metro Ma
| Reference Key |
persistent_1760660040_68f18a48c76da
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Ahanchian, Mohammad |
| Journal | Malay Journal |
| Year | 2014 |
| DOI |
DOI not found
|
| URL | |
| Keywords | Keywords not found |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.