A Flow-Capturing Location-Allocation Model
By M. J. Hodgson. 2010
635 citations recorded by the source corpus.
Subfields: Building and Construction, Organizational Behavior and Human Resource Management, Transportation
View Paper: https://www.semanticscholar.org/paper/69f8b8e349b0c18be588377596600ef96b733f5c
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Building and Construction
- Michael J. Kuby
- Zuo-Jun Max Shen
- Jong Geun Kim
- Ramteen Sioshansi
- Fei Wu
- Mark S. Daskin
- Lawrence V. Snyder
In Organizational Behavior and Human Resource Management
- Ramteen Sioshansi
- Fei Wu
- Jong Geun Kim
- Michael J. Kuby
- Zuo-Jun Max Shen
- Mark S. Daskin
- Elisa Gebennini
- Riccardo Manzini
In Transportation
Citations in the corpus
- The deviation-flow refueling location model for optimizing a network of refueling stations (2012, methodology): “The DFRLM was tested on a network with 25 nodes, 43 edges, and 300 O-D pairs that was used by Berman and Simchi-Levi [61], Hodgson [8], and Kuby and Lim [6] (Fig.”
- A stochastic flow-capturing model to optimize the location of fast-charging stations with uncertain electric vehicle flows (2017, background): “The work of Hodgson (1990) is one of the earliest examples of a flow-capturing location model, which maximizes vehicle flows served by the network.”
- Infrastructure Planning for Electric Vehicles with Battery Swapping (2013, background): “These models fall within the general category of flow-intercepting location models (Berman et al. 1995, 1992, 1995; Hodgson 1990), in which facilities are located to capture flows in a network by intercepting them along their respective paths.”