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Living on the highway? Addressing highway infrastructure potential through object detection
Grafe, Albert Erasmus
, Range, Julius
und Gloria, Benedikt
(2025)
Living on the highway? Addressing highway infrastructure potential through object detection.
Transport Policy 174, S. 103814.
Veröffentlichungsdatum dieses Volltextes: 06 Okt 2025 09:16
Artikel
DOI zum Zitieren dieses Dokuments: 10.5283/epub.77924
Zusammenfassung
The rapid increasing demand for freight transport has precipitated a critical need for expanded highway infrastructure, including Heavy Goods Vehicle (HGV) parking spaces. Utilizing state-of-the-art object detection techniques in satellite imagery, we conduct a comprehensive analysis to assess the current availability of HGV parking facilities along German highways. We relate our results to HGV ...
The rapid increasing demand for freight transport has precipitated a critical need for expanded highway infrastructure, including Heavy Goods Vehicle (HGV) parking spaces. Utilizing state-of-the-art object detection techniques in satellite imagery, we conduct a comprehensive analysis to assess the current availability of HGV parking facilities along German highways. We relate our results to HGV traffic volume data. Our findings reveal local disparities in infrastructure supply and demand. In a next step, we conduct location analysis to determine regions impacted the most by identified undersupply. Our results deliver valuable insights to both, specialized real estate developers and policymakers likewise.
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Details
| Dokumentenart | Artikel | ||||
| Titel eines Journals oder einer Zeitschrift | Transport Policy | ||||
| Verlag: | Elsevier | ||||
|---|---|---|---|---|---|
| Band: | 174 | ||||
| Seitenbereich: | S. 103814 | ||||
| Datum | 15 September 2025 | ||||
| Institutionen | Wirtschaftswissenschaften > Institut für Immobilienenwirtschaft / IRE|BS | ||||
| Identifikationsnummer |
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| Stichwörter / Keywords | Satellite imagery, Machine learning, Transport infrastructure, Real estate development | ||||
| Dewey-Dezimal-Klassifikation | 300 Sozialwissenschaften > 330 Wirtschaft | ||||
| Status | Veröffentlicht | ||||
| Begutachtet | Ja, diese Version wurde begutachtet | ||||
| An der Universität Regensburg entstanden | Ja | ||||
| URN der UB Regensburg | urn:nbn:de:bvb:355-epub-779243 | ||||
| Dokumenten-ID | 77924 |
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