Proposal of methodology for customers relationships establishing in terms of transport services

Hajduk, Iwona Ewa; Poliak, Miloš

doi:10.14669/am/172917

Cited by 3 publications

(3 citation statements)

References 28 publications

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“…The different platforms are difficult to exchange and share data. The advancement of comprehensive management of regional route networks is hindered [11], [12].…”

Section: Main Difficulties Faced By Management Of Transport Infrastru...mentioning

confidence: 99%

Methodological and Technical Aspects of Models for Digital Management of Transport Systems

Dimitrov,

Manchev

2024

ETR

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The digital transformation of transport systems is a priority area worldwide and aims to improve the quality of the services offered, as well as the processes of planning and management of work and traffic in transport. Digitization allows in a qualitatively new way to compile basic technological documents, as well as to manage specific transport and business processes. Through such management, the transport of passengers and cargo becomes faster, more efficient and safer. The main problems in the construction of the new digital platforms are related to hardware and software collateral. This article discusses methodological and technical aspects of digital transport management models using new technical and technological solutions of specific business processes and systems management models. The specifics and main directions on which to work to improve the implementation and development of digital systems in transport are outlined.

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“…The different platforms are difficult to exchange and share data. The advancement of comprehensive management of regional route networks is hindered [11], [12].…”

Section: Main Difficulties Faced By Management Of Transport Infrastru...mentioning

confidence: 99%

Methodological and Technical Aspects of Models for Digital Management of Transport Systems

Dimitrov,

Manchev

2024

ETR

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“…In the realm of bicycle transport, there's a growing emphasis on enhancing customer comfort and satisfaction through modernizing operational structures and adopting up-to-date technological aids (Hajduk, I. E., and Poliak, M. 2023). Klieštik et al, (2021) proposes a methodological solution aimed at transport service providers to build long-term relationships with clients by leveraging modern technologies and methodologies, potentially applicable to bicycle delivery services.…”

Section: Introductionmentioning

confidence: 99%

Finding the Correlation between Transport Infrastructure and the Fatal Accident Rate of Cyclists—An International Perspective

Gogola,

Senko,

Mikusova

2024

Preprint

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Bicycle transport stands at the forefront of sustainable mobility initiatives, a cornerstone of European Union policy. While support for cycling is crucial, its advancement hinges upon the presence of high-quality, secure infrastructure for cyclists. Safety emerges as a paramount concern, influencing the viability of cycling as a mode of transportation, yet its perception varies among user demographics. In light of this, this article endeavors to examine and contrast cycling infrastructure across various European nations, alongside analyzing statistics pertaining to fatal traffic accidents involving cyclists. The findings underscore a substantial correlation between the quality of cycling infrastructure and the incidence of accidents. This correlation underscores the pressing need for robust infrastructure development and safety measures to bolster cycling as a safe and viable transportation option. By understanding the intricate interplay between infrastructure quality and safety outcomes, policymakers can better prioritize resources and enact measures to foster safer cycling environments, thus furthering the objectives of sustainable mobility on a continental scale.

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“…A fundamental concept characterising the length of the buyer-supplier relationship is customer retention. It manifests itself through repeat purchases by buyers of selected products and services from a selected supplier (Hajduk, Poliak, 2023). Its main measure (and at the same time the main measure of customer retention) is the retention rate, which determines what proportion of all customers renewed their purchases in a given period.…”

Section: Introductionmentioning

confidence: 99%

Application of machine learning methods to analyze customer migration risk in terms of corporate financial security

Stoica,

Vilau,

Voicu

et al. 2023

SLW

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Effective prediction of customer migration is only possible through knowledge of the customer life cycle, which is characterized by the length of the relationship between buyer and provider, i.e. customer retention. A concept of opposite importance is customer migration, defined as the partial or total abandonment of the products or services offered by a company. Its knowledge and ability to predict it is crucial in terms of ensuring the continued financial security of target companies. The primary objective of this article was to present a method for assessing the risk of telecom industry customer migration using machine learning methods. The objective was achieved through the use of research methods, theoretical deductions such as and induction, system analysis and synthesis, and mathematical modelling, which additionally allowed for a practical analysis of the migration of customers of the telecommunications industry. Predictors with the greatest impact on the phenomenon under study were selected. It should be noted that the gain chart indicates that, in the case of contacting the 20% of customers selected by the models, the target coverage would be at the following levels, respectively: 70% for the boosted tree model and the decision tree based on the CART algorithm, and 75% for the random forest model. The research niche addressed in the article is the development of methods for assessing migration risk using machine learning techniques. The tool developed in the article can support decision-making in the creation of marketing campaigns aimed at retaining the largest number of customers.

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Proposal of methodology for customers relationships establishing in terms of transport services

Cited by 3 publications

References 28 publications

Methodological and Technical Aspects of Models for Digital Management of Transport Systems

Methodological and Technical Aspects of Models for Digital Management of Transport Systems

Finding the Correlation between Transport Infrastructure and the Fatal Accident Rate of Cyclists—An International Perspective

Application of machine learning methods to analyze customer migration risk in terms of corporate financial security

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