原文传递
Ambit-Based Activity Model for Evaluating Green House Gas Emission Reduction Policies.
| 题名： | Ambit-Based Activity Model for Evaluating Green House Gas Emission Reduction Policies. |
| 作者： | Zia-A. |
| 关键词： | *Emissions-reduction; *Greenhouse-gases; *Mobile-sources; *Statistical-analysis.;Climate-change; Trip-time; Regression-analysis; Policy-analysis; Geocoding-. |
| 摘要： | This study presents an Ambit-Based Activity Model (A-BAM) for evaluating Green House Gas (GHG) emission reduction policies that are being considered for implementation in transportation sector in the wake of more stringent emission reduction targets envisaged in a post-Kyoto international climate treaty. This study demonstrates how A-BAM can be used to estimate the 'effectiveness' of reducing GHG emissions from multiple policy interventions from year to year in a given geographical area. The A-BAM model builds upon the fact that any change in the current state of transportation systems through policy interventions will inevitably cause a change in the transportation activities of agents. So, for quantifying GHG emission reduction policy effectiveness, A-BAM requires that the transportation activities of randomly sampled agents for the evaluation area be systematically tracked and analyzed. At the core of the A-BAM is the concept of agents ambit that represents movement through space around an agents home place in all directions over a period of time. Analytical notions of trip-weighted and time-weighted centroids are formally derived to calculate the ambit of agents. Although GPS devices are empirically better to track agents ambit, this study, due to cost limitations, uses memory-based, travel-diary kind of a survey instrument to operationalize the spatial parameters of A-BAM. Survey data from 74 volunteers in California is deployed to track their ambit and carbon footprints. It is found that trip-weighted centroids are generally smaller than time-weighted centroids; and as the magnitude of the trip- and time-weighted centroids increases, the carbon footprint grows non-linearly. |
| 报告类型： | 科技报告 |
相关文献
- EPA Optimization Model for reducing Emissions of Greenhouse Gases from Automobiles (OMEGA). Core Model Version 1.4.1 Documentation.
- Identifying the Local and Regional Travel Effects of Activity Centers in the Austin, Texas Area.
- Joint Technical Support Document: Final Rulemaking for 2017-2025 Light-Duty Vehicle Greenhouse Gas Emission Standards and Corporate Average Fuel Economy Standards.
- Emissions Inventory for Air Quality Modeling Technical Support Document: 2017-2025 Light-Duty Vehicle Greenhouse Gas Final Rule.
- Computer Simulation of Light-Duty Vehicle Technologies for Greenhouse Gas Emission Reduction in the 2020-2025 Timeframe.
- Handbook for Considering Practical Greenhouse Gas Emission Reduction Strategies for Airports. Airport Cooperative Research Program (ACRP) Report 56.
检索历史
应用推荐
