Future urban transport management

Gao, Ziyou; Huang, Hai-Jun; Guo, Jingkun; Yang, Lixing; Wu, Jianjun

doi:10.1007/s42524-023-0255-3

Cited by 12 publications

(2 citation statements)

References 41 publications

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“…This process is essential for improving management efficiency and increasing the competitiveness of transport companies. It is also a reflection of the fact described by [35,36] as an opportunity for contemporary transport planners to use advances in information technology and optimization methods to design modern services that integrate and coordinate different modes of transport.…”

Section: Resultsmentioning

confidence: 99%

Concept for the Customer Perspective of the Balanced Scorecard (BSC) System in Bus Transport Companies in the Slovak Republic

Kicova,

Rosnerova,

Ponisciakova

et al. 2023

Systems

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Customer awareness and customer satisfaction are generally important attributes for the success and competitiveness of any business. In some sectors, they are studied very intensively; in others, they are neglected. In the field of transport services, it is important that the attitudes of customers are sufficiently monitored because public passenger transport has a lot of individual competition. Only satisfied customers can prefer public transportation over their own. In this context, this contribution analyses customer requirements and their satisfaction with bus public transport in the Slovak Republic. The opinions of customers are supplemented in this article with those of strategic managers. We ascertained customer requirements through questionnaire surveys. Using theoretical knowledge, we established hypotheses, which were subsequently verified using the selected statistical methods. Based on the findings, we proposed the concept of the target perspective of the BSC system for bus transport companies in the Slovak Republic in an effort to increase their competitiveness. Our procedure was also based on knowledge that is the output of various research studies in this area. Their results show that marketing strategies are considered the most important part of strategic management. Today, it is common in many industries that all business entities offer the same product at the same price under approximately the same technological conditions and with the assistance of equally well-equipped personnel. Therefore, a correctly set marketing strategy can also be the key to business success in transport services. The methods used in this paper were analysis, synthesis, questionnaire surveys, and the selected managerial and statistical methods. Our goal was to propose a concept of the customer perspective of the BSC system based on the analysis of customer requirements. We are convinced that the results of our survey can contribute to increasing the competitiveness of not only bus carriers in Slovakia, but also in other EU countries.

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Section: Resultsmentioning

confidence: 99%

Concept for the Customer Perspective of the Balanced Scorecard (BSC) System in Bus Transport Companies in the Slovak Republic

Kicova,

Rosnerova,

Ponisciakova

et al. 2023

Systems

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“…The rapid expansion of the economy has led to increased levels of transportation, particularly on highways, resulting in a range of challenges, including traffic congestion, accidents, emissions, and noise pollution (Huang et al, 2021). These challenges are expected to worsen in major cities, necessitating the urgent improvement of highway network traffic management efficiency (Gao et al, 2023;Ling et al, 2022). A key requirement for enhancing this efficiency is the precise determination of the traffic state of the transportation network, commonly referred to as traffic state estimation (TSE), which is the key focus of this research.…”

Section: Introductionmentioning

confidence: 99%

Traffic state estimation incorporating heterogeneous vehicle composition: A high-dimensional fuzzy model

Wang,

Dong,

Shao

et al. 2024

Front. Eng. Manag.

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Accurate traffic state estimations (TSEs) within road networks are crucial for enhancing intelligent transportation systems and developing effective traffic management strategies. Traditional TSE methods often assume homogeneous traffic, where all vehicles are considered identical, which does not accurately reflect the complexities of real traffic conditions that often exhibit heterogeneous characteristics. In this study, we address the limitations of conventional models by introducing a novel TSE model designed for precise estimations of heterogeneous traffic flows. We develop a comprehensive traffic feature index system tailored for heterogeneous traffic that includes four elements: basic traffic parameters, heterogeneous vehicle speeds, heterogeneous vehicle flows, and mixed flow rates. This system aids in capturing the unique traffic characteristics of different vehicle types. Our proposed high-dimensional fuzzy TSE model, termed HiF-TSE, integrates three main processes: feature selection, which eliminates redundant traffic features using Spearman correlation coefficients; dimension reduction, which utilizes the T-distributed stochastic neighbor embedding machine learning algorithm to reduce high-dimensional traffic feature data; and FCM clustering, which applies the fuzzy C-means algorithm to classify the simplified data into distinct clusters. The HiF-TSE model significantly reduces computational demands and enhances efficiency in TSE processing. We validate our model through a real-world case study, demonstrating its ability to adapt to variations in vehicle type compositions within heterogeneous traffic and accurately represent the actual traffic state.

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A dynamic speed guidance method at on-ramp merging areas of urban expressway considering driving styles

Li,

Lu,

et al. 2024

Front. Eng. Manag.

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Future urban transport management

Cited by 12 publications

References 41 publications

Concept for the Customer Perspective of the Balanced Scorecard (BSC) System in Bus Transport Companies in the Slovak Republic

Concept for the Customer Perspective of the Balanced Scorecard (BSC) System in Bus Transport Companies in the Slovak Republic

Traffic state estimation incorporating heterogeneous vehicle composition: A high-dimensional fuzzy model

A dynamic speed guidance method at on-ramp merging areas of urban expressway considering driving styles

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