The flow-refueling location problem for alternative-fuel vehicles

By Michael J. Kuby, Seow Lim. 2005

700 citations recorded by the source corpus.

Subfields: Automotive Engineering, Industrial and Manufacturing Engineering, Organizational Behavior and Human Resource Management

View Paper: https://www.semanticscholar.org/paper/53d0d8df5caee1636ccb0eac9521ac882eb2e291

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Automotive Engineering

1. Ramteen Sioshansi
2. Fei Wu
3. Jong Geun Kim
4. Michael J. Kuby

In Industrial and Manufacturing Engineering

1. Jong Geun Kim
2. Michael J. Kuby
3. Ramteen Sioshansi
4. Fei Wu

In Organizational Behavior and Human Resource Management

1. Ramteen Sioshansi
2. Fei Wu
3. Jong Geun Kim
4. Michael J. Kuby

Citations in the corpus

• The deviation-flow refueling location model for optimizing a network of refueling stations (2012, methodology): “3 Common Assumptions of Flow-Refueling Location Model The DFRLM is an extension of the FRLM, and therefore it follows assumptions of its precedent model, which are presented in Kuby and Lim [6].”
• A stochastic flow-capturing model to optimize the location of fast-charging stations with uncertain electric vehicle flows (2017, background): “Kuby and Lim (2005) extend this work by incorporating vehicle-range parameters and introduce additional binary variables to indicate combinations of location candidates.”