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Living on the highway? Addressing highway infrastructure potential through object detection
Grafe, Albert Erasmus
, Range, Julius
and Gloria, Benedikt
(2025)
Living on the highway? Addressing highway infrastructure potential through object detection.
Transport Policy 174, p. 103814.
Date of publication of this fulltext: 06 Oct 2025 09:16
Article
DOI to cite this document: 10.5283/epub.77924
Abstract
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
| Item type | Article | ||||
| Journal or Publication Title | Transport Policy | ||||
| Publisher: | Elsevier | ||||
|---|---|---|---|---|---|
| Open Access Type: | DEAL (Elsevier) | ||||
| Volume: | 174 | ||||
| Page Range: | p. 103814 | ||||
| Date | 15 September 2025 | ||||
| Institutions | Business, Economics and Information Systems > Institut für Immobilienenwirtschaft / IRE|BS | ||||
| Identification Number |
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| Keywords | Satellite imagery, Machine learning, Transport infrastructure, Real estate development | ||||
| Dewey Decimal Classification | 300 Social sciences > 330 Economics | ||||
| Status | Published | ||||
| Refereed | Yes, this version has been refereed | ||||
| Created at the University of Regensburg | Yes | ||||
| URN of the UB Regensburg | urn:nbn:de:bvb:355-epub-779243 | ||||
| Item ID | 77924 |
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