Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/89258
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Department of Industrial and Systems Engineering | en_US |
| dc.creator | Xu, M | en_US |
| dc.creator | Meng, Q | en_US |
| dc.date.accessioned | 2021-03-02T03:55:00Z | - |
| dc.date.available | 2021-03-02T03:55:00Z | - |
| dc.identifier.issn | 0191-2615 | en_US |
| dc.identifier.uri | http://hdl.handle.net/10397/89258 | - |
| dc.language.iso | en | en_US |
| dc.publisher | Pergamon Press | en_US |
| dc.subject | Charging station location | en_US |
| dc.subject | Branch-and-price | en_US |
| dc.subject | Path deviation | en_US |
| dc.subject | Nonlinear elastic demand | en_US |
| dc.title | Optimal deployment of charging stations considering path deviation and nonlinear elastic demand | en_US |
| dc.type | Journal/Magazine Article | en_US |
| dc.identifier.spage | 120 | en_US |
| dc.identifier.epage | 142 | en_US |
| dc.identifier.volume | 135 | en_US |
| dc.identifier.doi | 10.1016/j.trb.2020.03.001 | en_US |
| dcterms.abstract | This study aims to determine the optimal deployment of charging stations for battery electric vehicles (BEVs) by maximizing the covered path flows taking into account the path deviation and nonlinear elastic demand, referred to as DCSDE for short. Under the assumption that the travel demand between OD pairs follows a nonlinear inverse cost function with respect to the generalized travel cost, a BCAP-based (battery charging action-based path) model will be first formulated for DCSDE problem. A tailored branch-and-price (B&P) approach is proposed to solve the model. The pricing problem to determine an optimal path of BEV is not easily solvable by available algorithms due to the path-based nonlinear cost term in the objective function. We thus propose a customized two-phase method for the pricing problem. The model framework and solution method can easily be extended to incorporate other practical requirements in the context of e-mobility, such as the maximal allowable number of stops for charging and the asymmetric round trip. The numerical experiments in a benchmark 25-node network and a real-world California State road network are conducted to assess the efficiency of the proposed model and solution approach. | en_US |
| dcterms.accessRights | embargoed access | en_US |
| dcterms.bibliographicCitation | Transportation research. Part B, Methodological, May 2020, v. 135, p. 120-142 | en_US |
| dcterms.isPartOf | Transportation research. Part B, Methodological | en_US |
| dcterms.issued | 2020-05 | - |
| dc.identifier.isi | WOS:000527559500005 | - |
| dc.identifier.eissn | 1879-2367 | en_US |
| dc.description.validate | 202103 bcwh | en_US |
| dc.description.oa | Not applicable | en_US |
| dc.identifier.FolderNumber | a0588-n04 | - |
| dc.description.fundingSource | RGC | en_US |
| dc.description.fundingSource | Others | en_US |
| dc.description.fundingText | RGC: 25207319; Others: P0030389; P0000250 | en_US |
| dc.description.pubStatus | Published | en_US |
| dc.date.embargo | 2022-05-31 | en_US |
| Appears in Collections: | Journal/Magazine Article | |
Access
View full-text via PolyU eLinks 
Page views
22
Citations as of Jun 26, 2022
SCOPUSTM
Citations
19
Citations as of Jun 23, 2022
WEB OF SCIENCETM
Citations
16
Citations as of Jun 23, 2022
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.