Mixed Method Investigation of the Major Challenges to the Sustainable Deployment of the Electric Vehicle Charging Station Network in Türkiye
Özet
Charging the increasing number of electric vehicles (EVs) in use requires the deployment of EV charging station networks (EVCSN). However, there are various challenges to deploying EVCSN in a sustainable manner. Türkiye, a developing country, should also build a robust EVCSN to encourage future adoption of EVs as the country’s market for EVs has been rapidly growing. The literature review concludes that no previous study has systematically explored challenges to the sustainable deployment of EVCSN. The goal of this study is, therefore, twofold: first, it identifies those challenges through the lenses of commonly used theories. Second, it explores them using a multi-criteria decision-making (MCDM) framework that incorporates a rough-derived interval-valued neutrosophic set (R-IVN)-based ISM into MICMAC. By deriving interval neutrosophic information from single-valued expert inputs using rough number operators, the proposed approach more accurately captures epistemic uncertainty and variability in expert judgments compared to conventional interval-based models. The method is further validated through a novel Dice–Sørensen similarity index-based simulation approach. The findings of this study suggest that developing government policies and regulations and addressing the existence of vertically integrated companies are the critical challenges with higher driving powers. These findings provide key responsibilities for stakeholders, including urban municipalities, in developing guidelines for EVCSN deployment.
Anahtar Kelimeler
Tam Kayıt
| Alan | Değer | Dil |
|---|---|---|
| dc.contributor.author | Erol, Ismail | |
| dc.contributor.author | Oztel, Ahmet | |
| dc.contributor.author | Peker, Iskender | |
| dc.contributor.author | Ar, Ilker Murat | |
| dc.contributor.author | Benli, Tolga | |
| dc.contributor.author | Turan, İsmet | |
| dc.date.accessioned | 2026-10-22T10:19:50.255446767Z | |
| dc.date.available | 2026-10-22T10:19:50.255446767Z | |
| dc.date.issued | 2026 | |
| dc.description.abstract | Charging the increasing number of electric vehicles (EVs) in use requires the deployment of EV charging station networks (EVCSN). However, there are various challenges to deploying EVCSN in a sustainable manner. Türkiye, a developing country, should also build a robust EVCSN to encourage future adoption of EVs as the country’s market for EVs has been rapidly growing. The literature review concludes that no previous study has systematically explored challenges to the sustainable deployment of EVCSN. The goal of this study is, therefore, twofold: first, it identifies those challenges through the lenses of commonly used theories. Second, it explores them using a multi-criteria decision-making (MCDM) framework that incorporates a rough-derived interval-valued neutrosophic set (R-IVN)-based ISM into MICMAC. By deriving interval neutrosophic information from single-valued expert inputs using rough number operators, the proposed approach more accurately captures epistemic uncertainty and variability in expert judgments compared to conventional interval-based models. The method is further validated through a novel Dice–Sørensen similarity index-based simulation approach. The findings of this study suggest that developing government policies and regulations and addressing the existence of vertically integrated companies are the critical challenges with higher driving powers. These findings provide key responsibilities for stakeholders, including urban municipalities, in developing guidelines for EVCSN deployment. | |
| dc.identifier.doi | 10.1080/10429247.2025.2595958 | |
| dc.identifier.eissn | 2377-0643 | |
| dc.identifier.issn | 1042-9247 | |
| dc.identifier.scopus | 2-s2.0-105026668178 | |
| dc.identifier.uri | https://rdlopen.rawdatalibrary.net/r/gumushane/12232 | |
| dc.identifier.wos | WOS:001654222400001 | |
| dc.language.iso | en | |
| dc.publisher | Taylor and Francis Ltd. | |
| dc.relation.ispartof | EMJ - Engineering Management Journal | |
| dc.rights | info:eu-repo/semantics/closedAccess | |
| dc.subject | charging stations | |
| dc.subject | Dice-Sørensen similarity index-based simulation | |
| dc.subject | Electric vehicles | |
| dc.subject | ISM | |
| dc.subject | sustainability | |
| dc.subject.classification | Engineering, Industrial | |
| dc.subject.classification | Management | |
| dc.subject.classification | Engineering | |
| dc.subject.classification | Business & Economics | |
| dc.subject.other | SUPPLY CHAIN | |
| dc.subject.other | IMPLEMENTATION | |
| dc.subject.other | DIFFUSION | |
| dc.subject.other | ENABLERS | |
| dc.title | Mixed Method Investigation of the Major Challenges to the Sustainable Deployment of the Electric Vehicle Charging Station Network in Türkiye | |
| dc.type | Article | |
| dspace.entity.type | Publication | |
| rdl.citation.openalex | 0 | |
| rdl.citation.scopus | 0 | |
| rdl.citation.wos | 0 | |
| rdl.oa.status | closed | |
| rdl.oa.status | preprint | |
| rdl.publication.status | inPress | |
| rdl.sdg | SDG09 | |
| rdl.sdg | SDG11 | |
| rdl.sdg | SDG07 | |
| rdl.source.index | SCOPUS | |
| rdl.source.index | WOS | |
| rdl.wos.index | Science Citation Index Expanded (SCI-EXPANDED) | |
| rdl.wos.index | Social Science Citation Index (SSCI) |



