On the commute travel pattern with compressed work schedule

Su, Qida; Wang, David Z.W.

doi:10.1016/j.tra.2020.04.014

Cited by 3 publications

(2 citation statements)

References 20 publications

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“…Their contribution involves exploring the dynamic adjustment of ridesharing and parking charges to optimize the overall commuting experience. In addition, some researchers studied control strategies considering parking charges and parking capacity restrictions [52], the optimization of working hours [10], travel chains [53,54], speed limits [11], and other measures. A small number of researchers have also studied the effect of incentive strategies on traffic bottleneck management [55].…”

Section: Traffic Bottleneck Managementmentioning

confidence: 99%

“…The most studied topic is congestion pricing for traffic bottlenecks [5][6][7]. Many researchers have also studied management strategies from other perspectives, such as optimizing parking fees, parking capacity, working hours, speed limits, and other management measures [8][9][10][11]. The above traffic bottleneck management strategies are often mandatory measures, and due to differences in the nature of work and income levels of travelers, problems such as unfairness and low social acceptance persist.…”

Section: Introductionmentioning

confidence: 99%

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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: Traffic Bottleneck Managementmentioning

confidence: 99%

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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Flexible Work Arrangements and Willingness to Stay: Mediating and Moderating Roles

Wen

Xia

Sun

et al. 2021

2021 10th International Conference on Industrial Technology and Management (ICITM)

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Is It Necessarily Better for More Commuters to Share a Vehicle?

Wang,

Chen,

Zhu

et al. 2024

Sustainability

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Increasing private car ownership has congested urban roads and made parking more difficult, especially during the morning commute. Carpooling offers a new way to address these problems. This paper studies the dynamic departure patterns for both regular and carpooling vehicles with parking space constraints in the morning commute without the carpool lane. The results suggest that as the parking fee of the central cluster increases, the earliest time for the two types of vehicles to enter the central cluster is delayed. The increase in the proportion of regular vehicles delays the earliest time for carpooling vehicles to enter the central cluster. More commuters sharing a vehicle in the morning commute is not necessarily better. Only a reasonable level of carpooling can reduce the peak time and unnecessary time consumption on the road and effectively promote the reduction in parking fees, commuters’ travel costs, and other societal transportation costs. This research gives practical guidance and suggestions on formulating a reasonable parking fee and controlling a reasonable carpooling level.

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On the commute travel pattern with compressed work schedule

Cited by 3 publications

References 20 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

Flexible Work Arrangements and Willingness to Stay: Mediating and Moderating Roles

Is It Necessarily Better for More Commuters to Share a Vehicle?

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