Abstract
In this paper, we introduce the concept of resource-constrained accessibility and propose a new measurement, called space-time-resource hyper prism, to measure the access to food banks across service areas considering economic and environmental barriers such as monetary and CO emission budgets. We implement our method via dynamic programming and use the transportation network of the state of Michigan as a study case to demonstrate the methods and results. The scenario analysis results prove that our methods can effectively address various mobility constraints and support decision-making on sustainable resource allocations and management.
| Original language | English (US) |
|---|---|
| Title of host publication | 2024 IEEE Conference on Technologies for Sustainability, SusTech 2024 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 26-33 |
| Number of pages | 8 |
| ISBN (Electronic) | 9798350394344 |
| DOIs | |
| State | Published - 2024 |
| Event | 11th IEEE Conference on Technologies for Sustainability, SusTech 2024 - Hybrid, Portland, United States Duration: Apr 14 2024 → Apr 17 2024 |
Publication series
| Name | 2024 IEEE Conference on Technologies for Sustainability, SusTech 2024 |
|---|
Conference
| Conference | 11th IEEE Conference on Technologies for Sustainability, SusTech 2024 |
|---|---|
| Country/Territory | United States |
| City | Hybrid, Portland |
| Period | 4/14/24 → 4/17/24 |
Bibliographical note
Publisher Copyright:© 2024 IEEE.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 1 No Poverty -
SDG 2 Zero Hunger -
SDG 17 Partnerships for the Goals
Keywords
- Dynamic Programming
- Space-time Prisms
- Sustainability constraints
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