Fuel Refueling Policy Design for System Efficiency and Congestion Reduction
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| Natura: | Recurso digital |
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2026
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| _version_ | 1866901197225459712 |
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| author | NIMMAHNRATANAKUL, LUNCHANAWAT |
| author_facet | NIMMAHNRATANAKUL, LUNCHANAWAT |
| contents | <p>This article proposes a policy-oriented analytical framework for managing fuel refueling at service stations by integrating concepts from Queuing Theory and Little’s Law. The framework explains the relationship between the refueling quantity per visit, the frequency of system entry and the level of congestion within the system.</p> <p>The findings indicate that under conditions of normal fuel supply, limiting the refueling amount per transaction may increase the frequency of system entry and lead to higher congestion without reducing overall demand. In contrast, increasing the refueling quantity per visit reduces entry frequency and enhances system flow efficiency.</p> <p>The article further discusses the limitations of the model in the context of Stochastic Demand, Panic Buying behavior, and Equity considerations. It proposes that refueling limit policies can function as a System Signal that shapes consumer expectations and influences behavioral responses. This perspective is further connected to Social Relativity Theory (SRT), in which aggregate demand, behavioral dynamics and structural capacity interact to determine overall system stability.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_19230034 |
| institution | Zenodo |
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| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Fuel Refueling Policy Design for System Efficiency and Congestion Reduction NIMMAHNRATANAKUL, LUNCHANAWAT Social Relativity Theory (SRT) Queuing Theory Little's Law Fuel Refueling Policy System Congestion <p>This article proposes a policy-oriented analytical framework for managing fuel refueling at service stations by integrating concepts from Queuing Theory and Little’s Law. The framework explains the relationship between the refueling quantity per visit, the frequency of system entry and the level of congestion within the system.</p> <p>The findings indicate that under conditions of normal fuel supply, limiting the refueling amount per transaction may increase the frequency of system entry and lead to higher congestion without reducing overall demand. In contrast, increasing the refueling quantity per visit reduces entry frequency and enhances system flow efficiency.</p> <p>The article further discusses the limitations of the model in the context of Stochastic Demand, Panic Buying behavior, and Equity considerations. It proposes that refueling limit policies can function as a System Signal that shapes consumer expectations and influences behavioral responses. This perspective is further connected to Social Relativity Theory (SRT), in which aggregate demand, behavioral dynamics and structural capacity interact to determine overall system stability.</p> |
| title | Fuel Refueling Policy Design for System Efficiency and Congestion Reduction |
| topic | Social Relativity Theory (SRT) Queuing Theory Little's Law Fuel Refueling Policy System Congestion |
| url | https://doi.org/10.5281/zenodo.19230034 |