Machine learning in exploration the decoupling paradigm in transport

Szaruga, Elżbieta; Załoga, Elżbieta

doi:10.1016/j.procs.2022.09.452

Cited by 6 publications

(2 citation statements)

References 73 publications

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“…This model takes into account, in addition to the destination, transport occupancy and changes in energy consumption, but also modal shifts to reduce CO 2 emissions [76]. Their research also expresses the idea of the shift paradigm [77] and decoupling [78,79]. A similar thesis about the decoupling paradigm is expressed by Wimbadi et al about transport [80].…”

Section: Factors Of Energy Intensity Of Transportmentioning

confidence: 84%

Links between the Energy Intensity of Public Urban Transport, Regional Economic Growth and Urbanisation: The Case of Poland

et al. 2023

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The article concerns the verification of links between the energy intensity of public urban transport, regional economic development and urbanisation in the light of sustainable development challenges and club convergence processes. Three research questions were formulated in the article: (1) Does the regional economic development of voivodeships affect the energy intensity of public urban transport? (2) Does urbanisation shape energy consumption patterns in public urban transport (and are there agglomeration effects)? (3) Does the level of urbanisation of voivodeships depend on their regional level? The study covered 16 subregions of Poland from 2010 to 2020. A spatial dynamic exploration of the relationships between energy intensity patterns of public urban transport and the phenomenon of urbanisation and regional economic development was carried out. Panel models of vector autoregression and panel causality testing were used. The influence of the economic development of regions and the level of urbanisation on energy intensity patterns of public urban transport was confirmed. The link between economic development and the process of urbanisation was identified. An additional effect was noticed (novelty knowledge), i.e., there is a delayed club convergence between voivodeships in the area of energy intensity of public urban transport, regional economic development and urbanisation (polyconvergence).

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Section: Factors Of Energy Intensity Of Transportmentioning

confidence: 84%

Links between the Energy Intensity of Public Urban Transport, Regional Economic Growth and Urbanisation: The Case of Poland

et al. 2023

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“…The analysis used techniques in the field of machine learning and mining text such as word cloud [34,35], mapping latent variables with network connections [36,37], a bag of words [38,39], topic modeling by Latent Semantic Index (LSI) [39,40], emotion recognition (profiler by Plutchik emotions) [41,42] and geomapping [43].…”

Section: Methodsmentioning

confidence: 99%

Literature Review on Health Emigration in Rare Diseases—A Machine Learning Perspective

Skweres-Kuchta

Czerska

Szaruga

2023

IJERPH

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The article deals with one of the effects of health inequalities and gaps in access to treatments for rare diseases, namely health-driven emigration. The purpose of the paper is to systematize knowledge about the phenomenon of health emigration observed among families affected by rare diseases, for which reimbursed treatment is available, but only in selected countries. The topic proved to be niche; the issue of “health emigration in rare diseases” is an area for exploration. Therefore, the further analysis used text mining and machine learning methods based on a database selected based on keywords related to this issue. The results made it possible to systematize the guesses made by researchers in management and economic fields, to identify the most common keywords and thematic clusters around the perspective of the patient, drug manufacturer and treatment reimbursement decision-maker, and the perspective integrating all the others. Since the topic of health emigration was not directly addressed in the selected sources, the authors attempted to define the related concepts and discussed the importance of this phenomenon in managing the support system in rare diseases. Thus, they indicated directions for further research in this area.

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A Multi-Criteria Optimisation Algorithm for the Evaluation of Scientific Activity

Hapka,

Wojszczyk,

Królikowski

2023

Procedia Computer Science

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Machine learning in exploration the decoupling paradigm in transport

Cited by 6 publications

References 73 publications

Links between the Energy Intensity of Public Urban Transport, Regional Economic Growth and Urbanisation: The Case of Poland

Links between the Energy Intensity of Public Urban Transport, Regional Economic Growth and Urbanisation: The Case of Poland

Literature Review on Health Emigration in Rare Diseases—A Machine Learning Perspective

A Multi-Criteria Optimisation Algorithm for the Evaluation of Scientific Activity

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