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A Multi-Scale Modeling Framework for Fuel Station Location Considering Street Intersection Convenience from Highways

Authors: Michael Kuby*, Arizona State University, Qunshan Zhao, University of Glasgow, Scott R. Kelley, University of Nevada, Reno, Xiao Fan, National Marine Environmental Forecasting Center
Topics: Transportation Geography, Spatial Analysis & Modeling, Energy
Keywords: hydrogen fuel cell vehicle, optimization model, facility location
Session Type: Paper
Presentation File: No File Uploaded


Electric drive vehicles have been promoted by governments to foster a more sustainable transportation future. However, adoption of these vehicles depends on availability of a convenient and reliable refueling/recharging infrastructure. The Flow Refueling Location Model (FRLM) is a path-based approach to planning a system of alternative-fuel stations. Drivers stop along their origin-destination routes to refuel and must be able to complete round trips without running out of fuel. Locations where multiple limited-access freeways intersect can potentially capture high flow volumes, and are thus commonly chosen refueling station locations by the FRLM, but access between these intersections and the surrounding street network is not always straightforward or easy. To measure this, the Freeway Traffic Capture Method (FTCM) was developed to assess the degree to which drivers can conveniently reach sites on the local street network near freeway intersections for all possible travel routes through them. This paper extends the FTCM to handle cases involving clusters of nearby freeway intersections, which is a limitation of its previous specification. Then, this cluster-based FTCM is integrated with FRLM models for detailed geographic optimization of this multi-scale location planning problem. The main contribution of this research is introduction of a framework combining multi-scale planning methods to more effectively inform the early development stage of hydrogen refueling infrastructure planning. The proposed multi-scale modeling framework is applied to the Hartford, Connecticut region, which will be one of the next areas for fuel-cell vehicle (FCV) market and infrastructure expansion in the United States.

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