A multi-scale framework for fuel station location

From highways to street intersections

Qunshan Zhao, Scott B. Kelley, Fan Xiao, Michael Kuby

Research output: Contribution to journalArticle

Abstract

Electric drive vehicles (plug-in electric vehicle or hydrogen fuel cell vehicles) have been promoted by governments to foster a more sustainable transportation future. Wider adoption of these vehicles, however, depends on the availability of a convenient and reliable refueling/recharging infrastructure. This paper introduces a path-based, multi-scale, scenario-planning modeling framework for locating a system of alternative-fuel stations. The approach builds on (1) the Flow Refueling Location Model (FRLM), which assumes that drivers stop along their origin-destination routes to refuel, and checks explicitly whether round trips can be completed without running out of fuel, and (2) the Freeway Traffic Capture Method (FTCM), which assesses the degree to which drivers can conveniently reach sites on the local street network near freeway intersections. This paper extends the FTCM to handle cases involving clusters of nearby freeway intersections, which is a limitation of its previous specification. Then, the cluster-based FTCM (CFTCM) is integrated with the FRLM and the DFRLM (FRLM with Deviations) to better conduct detailed geographic optimization of this multi-scale location planning problem. The main contribution of this research is the introduction of a framework that combines 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 is one of the next areas targeted for fuel-cell vehicle (FCV) market and infrastructure expansion in the United States. This method is generalizable to other regions or other types of fast-fueling alternative fuel vehicles.

Original languageEnglish (US)
Pages (from-to)48-64
Number of pages17
JournalTransportation Research Part D: Transport and Environment
Volume74
DOIs
StatePublished - Sep 1 2019

Fingerprint

Highway systems
motorway
capture method
road
traffic
infrastructure
Planning
alternative fuel
Alternative fuels
planning
fuel cell
freeway network
driver
Fuel cells
planning methods
electric vehicle
hydrogen
infrastructure planning
planning method
Hydrogen fuels

Keywords

  • Alternative fuel
  • Connecticut
  • Flow
  • Hydrogen
  • Infrastructure
  • Path

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Transportation
  • Environmental Science(all)

Cite this

A multi-scale framework for fuel station location : From highways to street intersections. / Zhao, Qunshan; Kelley, Scott B.; Xiao, Fan; Kuby, Michael.

In: Transportation Research Part D: Transport and Environment, Vol. 74, 01.09.2019, p. 48-64.

Research output: Contribution to journalArticle

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