Integrated urban mobility policies in metropolitan areas: A system dynamics approach for the Rhine-Ruhr metropolitan region in Germany

Melkonyan, Ani; Koch, Jennifer; Lohmar, Fabian; Vasanth, Kamath; Munteanu, Victoria; Schmidt, J. Alexander; Bleischwitz, Raimund

doi:10.1016/j.scs.2020.102358

Cited by 37 publications

(20 citation statements)

References 78 publications

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“…This causes demand for the use of available technologies to build, so called 'Smart cities' [5,6]. However, most research works concentrate on ways of improving and optimizing road freight transport instead of considering alternative solutions [7][8][9][10]. Therefore, some studies are conducted for the methodology for measuring and evaluating the environmental performance of logistics systems [4] and other focus on process modelling [11,12], for example proposing a new concept of the use of interim container terminals, arranged in a number of key points in the city with an adequate structure of the quays [13].…”

Section: Literature Reviewmentioning

confidence: 99%

Possibilities of Using Inland Navigation to Improve Efficiency of Urban and Interurban Freight Transport with the Use of the River Information Services (RIS) System—Case Study

Durajczyk

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2021

Energies

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Inland navigation is hardly ever used to transport cargo in cities. In most urban areas, it is performed almost exclusively via road transport, with the virtual exclusion of rail and inland transport. Research and implementation projects in several European cities have shown that employing inland navigation is a viable alternative for road transport in urban areas. The research involved a case study of transporting the same number of 40-foot containers by inland waterway and road and then comparing the results in terms of transport time, transport costs, and carbon dioxide emissions between two metropolitan areas in Poland. The article shows that River Information Services (RIS) system can contribute to improving freight transport efficiency not only on longer routes, but also in urban and inter-urban conditions. The findings were that inland shipping is much cheaper and more environmentally friendly, but transport takes much longer and is not always possible due to insufficient waterway infrastructure. The paper can be used as a road map to proceed with new approach to planning urban and inter-urban logistics, with the use of inland navigation supported by the RIS system. The study delivers evidence that the main benefits of using RIS for urban logistics are: optimization of the cargo route, improved supervision and control of cargo transport, optimization of inter-branch transport, optimization of the use of fleet, more efficient use of technical infrastructure of waterways, combination of many recipients/senders into one transport, and reduction of administrative barriers.

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Section: Literature Reviewmentioning

confidence: 99%

Possibilities of Using Inland Navigation to Improve Efficiency of Urban and Interurban Freight Transport with the Use of the River Information Services (RIS) System—Case Study

Durajczyk

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2021

Energies

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“…According to Melkonyan et al [40], urbanisation trends and the increasing demands of urban mobility create new challenges for urban planners. Therefore, it is necessary to develop integrated and sustainable urban mobility policies.…”

Section: Literature Reviewmentioning

confidence: 99%

The Economic Effects of Electromobility in Sustainable Urban Public Transport

Pietrzak

2021

Energies

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This paper focuses on effects of implementing zero-emission buses in public transport fleets in urban areas in the context of electromobility assumptions. It fills the literature gap in the area of research on the impact of the energy mix of a given country on the issues raised in this article. The main purpose of this paper is to identify and analyse economic effects of implementing zero-emission buses in public transport in cities. The research area was the city of Szczecin, Poland. The research study was completed using the following research methods: literature review, document analysis (legal acts and internal documents), case study, ratio analysis, and comparative analysis of selected variants (investment variant and base variant). The conducted research study has shown that economic benefits resulting from implementing zero-emission buses in an urban transport fleet are limited by the current energy mix structure of the given country. An unfavourable energy mix may lead to increased emissions of SO2 and CO2 resulting from operation of this kind of vehicle. Therefore, achieving full effects in the field of electromobility in the given country depends on taking concurrent actions in order to diversify the power generation sources, and in particular on increasing the share of Renewable Energy Sources (RES).

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“…However, beyond the simple variety of the area, this region has also seen quite significant growth and urbanization over the past few years. Due to this growth, it is now considered a possible threat to the European Union's goal of hitting its target of a 60% reduction in greenhouse gasses by the year 2050 [21]. With the region being an economic hub of Germany, and Europe, it is an attractive place to move to due to its strong economic security.…”

Section: Study Areamentioning

confidence: 99%

Evaluation of Light Gradient Boosted Machine Learning Technique in Large Scale Land Use and Land Cover Classification

2020

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The ability to rapidly produce accurate land use and land cover maps regularly and consistently has been a growing initiative as they have increasingly become an important tool in the efforts to evaluate, monitor, and conserve Earth’s natural resources. Algorithms for supervised classification of satellite images constitute a necessary tool for the building of these maps and they have made it possible to establish remote sensing as the most reliable means of map generation. In this paper, we compare three machine learning techniques: Random Forest, Support Vector Machines, and Light Gradient Boosted Machine, using a 70/30 training/testing evaluation model. Our research evaluates the accuracy of Light Gradient Boosted Machine models against the more classic and trusted Random Forest and Support Vector Machines when it comes to classifying land use and land cover over large geographic areas. We found that the Light Gradient Booted model is marginally more accurate with a 0.01 and 0.059 increase in the overall accuracy compared to Support Vector and Random Forests, respectively, but also performed around 25% quicker on average.

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Integrated urban mobility policies in metropolitan areas: A system dynamics approach for the Rhine-Ruhr metropolitan region in Germany

Cited by 37 publications

References 78 publications

Possibilities of Using Inland Navigation to Improve Efficiency of Urban and Interurban Freight Transport with the Use of the River Information Services (RIS) System—Case Study

Possibilities of Using Inland Navigation to Improve Efficiency of Urban and Interurban Freight Transport with the Use of the River Information Services (RIS) System—Case Study

The Economic Effects of Electromobility in Sustainable Urban Public Transport

Evaluation of Light Gradient Boosted Machine Learning Technique in Large Scale Land Use and Land Cover Classification

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