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Sustainable City Evaluation Using the Database for Estimation of Road Network Performance
- Source :
- Sustainability; Volume 15; Issue 1; Pages: 733
- Publication Year :
- 2022
- Publisher :
- Multidisciplinary Digital Publishing Institute, 2022.
-
Abstract
- This article introduces the Database for Estimation of Road Network Performance (DERNP) to enable wide-scale estimation of relevant Road Network Performance (RNP) factors for major German cities. The methodology behind DERNP is based on a randomized route sampling procedure that utilizes the Worldwide Harmonized Light Vehicles Test Procedure (WLTP) in combination with the tile-based HERE Maps Traffic API v7 and a digital elevation model provided by the European Union’s Earth Observation Programme Copernicus to generate a large set of independent and realistic routes throughout OpenStreetMap road networks. By evaluating these routes using the PHEMLight5 framework, a comprehensive list of RNP parameters is estimated and translated into polynomial regression models for general usage. The applicability of these estimations is demonstrated based on a case study of four major German cities. This case study considers network characteristics in terms of detours, infrastructure, traffic congestion, fuel consumption, and CO2 emissions. Our results show that DERNP and its underlying randomized route sampling methodology overcomes major limitations of previous wide-scale RNP approaches, enabling efficient, easy-to-use, and region-specific RNP comparisons.
- Subjects :
- road network performance
urban sustainability
economic sustainability
traffic congestion
greenhouse gas emissions
data collection methods
navigation services
ddc:330
Renewable Energy, Sustainability and the Environment
330 Wirtschaft
Geography, Planning and Development
Building and Construction
Management, Monitoring, Policy and Law
Subjects
Details
- Language :
- English
- ISSN :
- 20711050
- Database :
- OpenAIRE
- Journal :
- Sustainability; Volume 15; Issue 1; Pages: 733
- Accession number :
- edsair.doi.dedup.....71981caec1592d7ee9248085c6cd5164
- Full Text :
- https://doi.org/10.3390/su15010733