Risk-taking path choice behaviors under ATIS in transportation networks with demand uncertainty

A new travel time reliability-based traffic assignment model is proposed to investigate the effects of an advanced transportation information system (ATIS) on drivers' risk-taking path choice behaviours in transportation networks with demand uncertainty. In the model, drivers are divided into two classes. The first class is not equipped with ATIS, while the second class is equipped with ATIS. Different risk-taking path choice behaviours of the two classes are studied, respectively. A corresponding mixed equilibrium traffic assignment model is formulated as a variational inequality problem in terms of path flows, which is solved by a heuristic solution algorithm. Numerical results indicate that the ATIS can influence the drivers' risk-taking path choice behaviours and the total system travel time in transportation networks with demand uncertainty. It is also found that under higher demand levels, the benefits of ATIS for network performance enhancement may be more obvious.

Evaluating human behaviour during a disaster evacuation process:A literature review

The frequency of natural and man-made disasters has increased over the past few decades,which has doubled the significance of evacuation planning because it directly affects people’s lives and properties.How evacuees behave during a disaster and the methodologies to assess their behaviour are vital factors in managing any emergency scenario.For example,during the evacuation of a transportation network,users’amount of information and how they react are imperative to achieve a resilient response to a disaster.Even though there are numerous approaches for assessing evacuee behaviour,further research is needed to determine how and when each methodology should be employed.This paper intends to evaluate and classify the methodologies that have been presented up to date to create a more consistent approach to interpreting human behaviour during an evacuation process.The majority of studies focus on how people behave during an evacuation of a building,with less attention paid to how they behave during a transport evacuation.Among the proposed methodologies in this paper,the virtual reality approach,in individual behaviour,and agent-based models,in crowd behaviour,have more advantages than other approaches.Overall,a comparison between the proposed approaches is made in the discussion part.The output of this study provides the classifications and suggestions for researchers to pick an appropriate approach based on the types of problems,and some direction for future studies are introduced.To reach the research goal,177 papers have been reviewed between 1954 and 2022.

Evolutionary game analysis of shared parking market diffusion under government management

The imbalance between supply and demand in urban settings poses a significant barrier to the sustainable advancement of urban transportation.Shared parking serves as a viable solution to mitigate these challenges.Nevertheless,for its sustained growth,a regulatory mechanism enforced by the government is imperative.To promote shared parking market diffusion,we construct an evolutionary game model that incorporates the government,enterprises and parking demanders.It explores stabilization strategies for these stakeholders and identifies multiple equilibrium states under different parameter conditions.The results show that the rate and stability of these evolutionary strategies are constrained by the mutual benefits derived by the three parties.Furthermore,such stakeholders are reciprocally influenced by their willingness to engage in shared parking to varying degrees.Government subsidies serve as a determining factor for the strategic choices made by both enterprises and demanders,albeit at different evolutionary rates.Demanders who have a higher value of time tend to park on-street,thereby influencing enterprise strategies.To foster the long-term growth of the shared parking market,the government must enact appropriate subsidy policies,maintain consistent regulations and advocate for increased subsidies for parking demanders to reduce the effect of temporal heterogeneity on parking behavioural choices.