With the rapid development of novel vehicle technologies,air taxis are becoming a new transport servicing model to achieve better urban air mobility(UAM)systems.The UAM system can mitigate severe traffic congestion pr...With the rapid development of novel vehicle technologies,air taxis are becoming a new transport servicing model to achieve better urban air mobility(UAM)systems.The UAM system can mitigate severe traffic congestion problems on the ground in many metropolitan areas effectively.This research aims to design a robust UAM network to serve broader mobility needs in the future.In this study,we consider the two main competition transportation modes of air taxis(luxury ground taxis and ordinary ground taxis)and establish a travel mode choice behaviour model based on the multinomial logit choice approach to determine the aggregate air taxi demand flow.Furthermore,we account for the varying temporal preferences of different UAM passengers by incorporating different time values for heterogeneous passengers,such as leisure and business passengers,into the travel mode choice behaviour model.Additionally,to address uncertainties in user demand,we introduce a robust optimisation model for vertiport location under a budget uncertainty set.This model is then reformulated as a mixed-integer linear programming model to address computational challenges.Ultimately,we conduct a series of numerical experiments to showcase the effectiveness of our proposed mathematical model.The outcomes of this research offer valuable managerial insights and implications,aiding governments and UAM operators in scientifically designing UAM networks and making strategic decisions regarding infrastructure investments.展开更多
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 transpo...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.展开更多
Ticket allocation and train stopping plans are important parts of railway transportation organization.At present,most of the ticket allocation plans are based on fixed train stopping plans,which limit the scope of tic...Ticket allocation and train stopping plans are important parts of railway transportation organization.At present,most of the ticket allocation plans are based on fixed train stopping plans,which limit the scope of ticket allocation.Trains can only serve passenger demands between stopping stations,leading to a loss of passenger demands at non-stopping stations,resulting in low seat occupancy rates and low revenue for railway enterprise.In order to better meet passenger demands,improve seat occupancy rates and increase the revenue of railway enterprises,this paper constructs a collaborative optimization model of ticket allocation and stopping plans based on stochastic demand and passenger choice behaviours in different time periods.Combined with CPLEX solver,the simulated annealing algorithm is designed to solve the problem.At the same time,new neighbourhood solution generation strategies of train stopping plans and ticket allocation plans under given stopping plans are designed.The experimental results show that in small-scale and large-scale experiments,the proposed method increases revenue by 0.14%and 9.09%,respectively,and effectively improves seat occupancy rates.展开更多
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...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.展开更多
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.Neve...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.展开更多
基金Department of Aeronautical and Avi-ation Engineering,The Hong Kong Polytechnic University,Hong Kong SAR(RJJ9,RJ85).
文摘With the rapid development of novel vehicle technologies,air taxis are becoming a new transport servicing model to achieve better urban air mobility(UAM)systems.The UAM system can mitigate severe traffic congestion problems on the ground in many metropolitan areas effectively.This research aims to design a robust UAM network to serve broader mobility needs in the future.In this study,we consider the two main competition transportation modes of air taxis(luxury ground taxis and ordinary ground taxis)and establish a travel mode choice behaviour model based on the multinomial logit choice approach to determine the aggregate air taxi demand flow.Furthermore,we account for the varying temporal preferences of different UAM passengers by incorporating different time values for heterogeneous passengers,such as leisure and business passengers,into the travel mode choice behaviour model.Additionally,to address uncertainties in user demand,we introduce a robust optimisation model for vertiport location under a budget uncertainty set.This model is then reformulated as a mixed-integer linear programming model to address computational challenges.Ultimately,we conduct a series of numerical experiments to showcase the effectiveness of our proposed mathematical model.The outcomes of this research offer valuable managerial insights and implications,aiding governments and UAM operators in scientifically designing UAM networks and making strategic decisions regarding infrastructure investments.
基金The National High Technology Research and Development Program of China (863 Program) (No.2006AA11Z209)Youth Science and Technology Foundation of China University of Mining and Technology (No.2007A028)Natural Science Foundation of Beijing (No.9073018)
文摘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.
基金supported by the National Natural Science Foundation of China(Grant No.72471247)the General Project of the Hunan Provincial Natural Science Foundation of China(Grant No.2022JJ30057)the Systematic Major Research Project of the China Railway(Grant No.P2022×012).
文摘Ticket allocation and train stopping plans are important parts of railway transportation organization.At present,most of the ticket allocation plans are based on fixed train stopping plans,which limit the scope of ticket allocation.Trains can only serve passenger demands between stopping stations,leading to a loss of passenger demands at non-stopping stations,resulting in low seat occupancy rates and low revenue for railway enterprise.In order to better meet passenger demands,improve seat occupancy rates and increase the revenue of railway enterprises,this paper constructs a collaborative optimization model of ticket allocation and stopping plans based on stochastic demand and passenger choice behaviours in different time periods.Combined with CPLEX solver,the simulated annealing algorithm is designed to solve the problem.At the same time,new neighbourhood solution generation strategies of train stopping plans and ticket allocation plans under given stopping plans are designed.The experimental results show that in small-scale and large-scale experiments,the proposed method increases revenue by 0.14%and 9.09%,respectively,and effectively improves seat occupancy rates.
文摘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.
基金supported by the Humanities and Social Sci-ence Research Foundation of China’s Ministry of Education(Grant No.20YJC630156)the Natural Science Foundation of Chongqing(Grant No.cstc2021jcyj-msxmX0482)the Humanities and Social Science Foundation of Chongqing Education Commission(Grant No.20SKGH080,Grant No.21SKGH083).
文摘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.
