Exploring Influencing Factors of Intercity Mode Choice from View of Entire Travel Chain

Li, Xiaowei; Zhang, Siyu; Wu, Yao; Wang, Yuting; Wang, Wenbo

doi:10.1155/2021/9454873

Cited by 3 publications

(1 citation statement)

References 48 publications

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“…When the arrival rate at the bottleneck exceeds the bottleneck capacity, a queue is formed. Furthermore, many researchers have extended and improved this model by considering features such as user heterogeneity, multiple travel modes, and travel chains [2][3][4]. Although the bottleneck model is constantly improving, it is still difficult to match real conditions, and there are significant errors in the analysis and prediction of travel behavior based on the bottleneck model.…”

Section: Introductionmentioning

confidence: 99%

Travel Plan Sharing and Regulation for Managing Traffic Bottleneck Based on Blockchain Technology

Zhu,

Yu,

Fan

2024

Sustainability

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To alleviate traffic congestion, it is necessary to effectively manage traffic bottlenecks. In existing research, travel demand prediction for traffic bottlenecks is based on travel behavior assumptions, and prediction accuracy is low in practice. Thus, the effect of traffic bottleneck management strategies cannot be guaranteed. Management strategies are often mandatory, leading to problems such as unfairness and low social acceptance. To address such issues, this paper proposes managing traffic bottlenecks based on shared travel plans. To solve the information security and privacy problems caused by travel plan sharing and achieve information transparency, travel plans are shared and regulated by blockchain technology. To optimize the operation level of traffic bottlenecks, travel plan regulation models under scenarios where all/some travelers share travel plans are proposed and formulated as linear programming models, and these models are integrated into the blockchain with smart contract technology. Furthermore, travel plan regulation models are tested and verified using traffic flow data from the Su-Tong Yangtze River Highway Bridge, China. The results indicate that the proposed travel plan regulation models are effective for alleviating traffic congestion. The vehicle transfer rate and total delay rate increase as the degree of total demand increases; the vehicle transfer rate increases as the length of the time interval decreases; and the vehicle transfer rate and total delay rate increase as the number of vehicles not sharing their travel plans increases. By using the model and method proposed in this paper, the sustainability of urban economy, society, and environment can be promoted. However, there are many practical situations that have not been considered in this paper, such as multiple entry and exit bottlenecks, multiple travel modes, and other control strategies. In addition, this paper considers only one bottleneck rather than road networks because of the throughput limitations of blockchain technology.

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Section: Introductionmentioning

confidence: 99%

Travel Plan Sharing and Regulation for Managing Traffic Bottleneck Based on Blockchain Technology

Zhu,

Yu,

Fan

2024

Sustainability

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Shared Bayesian variable shrinkage in multinomial logistic regression

Uddin

Gaskins

2023

Computational Statistics & Data Analysis

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Shifting the population mobility of the Ukraine western region on the strength of the COVID-19 pandemic

Pivtorak

Zhuk

Gits

et al. 2022

AoT

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The Covid-19 pandemic has significantly affected the economic and social spheres of all countries. Restrictions intro-duced to reduce the risk of transmission have changed the structure of population movements. The impact of these restrictions on the characteristics of intercity travel is still an understudied problem. Based on the analysis of statisti-cal data and the results of questionnaires, the article assesses the impact of pandemic restrictions on population mobil-ity in the Western region of Ukraine and changes in the distribution of passenger flows between different modes (bus, rail, private transport, joint travel). In 2020, the volume of passenger traffic in the region decreased by an average of half compared to the previous year. The decline is sharper for rail passenger transport compared to the bus transport. For more developed railway networks, the impact of the pandemic on passenger traffic is more pronounced. Quarantine restrictions have also increased the share of own car travel. According to research, the distribution of intercity trips between modes is influenced by the age and sex of the traveler. During the pandemic, users of transport services who travel with children under the age of 14 choose private transport to travel more often than those who travel alone. The degree of influence of the above factors on the distribution of modes depends on the length of the trip. The application part of the work presents the results of modeling passenger flows of the studied region in the software environment PTV Visum. It was found that at the beginning of the quarantine restrictions the number of intercity trips decreases sharply. As the duration of restrictions increases, the rate of decline in mobility decreases. These data can be further taken into account when planning the work of transport enterprises and meeting the population`s demand for travel. The practi-cal application of the study results is that the identification of trends in the mobility of residents of the studying region depending on the impact of pandemic restrictions allows you to predict the mode and type of vehicles used. Based on these data, you can determine marketing strategies for the development of certain modes and directions of transporta-tion.

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Exploring Influencing Factors of Intercity Mode Choice from View of Entire Travel Chain

Cited by 3 publications

References 48 publications

Travel Plan Sharing and Regulation for Managing Traffic Bottleneck Based on Blockchain Technology

Travel Plan Sharing and Regulation for Managing Traffic Bottleneck Based on Blockchain Technology

Shared Bayesian variable shrinkage in multinomial logistic regression

Shifting the population mobility of the Ukraine western region on the strength of the COVID-19 pandemic

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