Multimode Traffic Travel Behavior Characteristics Analysis and Congestion Governance Research

Li, Wen Li; Feng, Wei Feng; Yuan, Huazhi

doi:10.1155/2020/6678158

Cited by 18 publications

(16 citation statements)

References 21 publications

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“…Rapid urban population growth brings with it severe ground traffic congestion, which increases citizens' commuting time and causes environmental pollution [1][2][3]. The development of the metro system can effectively alleviate this issue in many countries, especially in China [2,[4][5][6].…”

Section: Introductionmentioning

confidence: 99%

Influencing Factors of Particulate Matter Concentration in the Metro Carriage and the Corresponding Inhalation Intake Estimation: A Field Measurement in Chengdu

et al. 2022

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Urbanization promotes the development of the subway system, and the particulate matter (PM) concentrations inside have received increasing attention. This study first measured the dynamic PM2.5 and PM10 concentrations in a metro carriage in Chengdu and explored the dominant influencing factors. The personal inhalation intakes of different routes were evaluated. The results showed that the in-carriage PM2.5 and PM10 concentrations ranged from 11 to 74 μg/m3 (mean: 36.7 μg/m3) and 13 to 89 μg/m3 (mean: 40.1 μg/m3), respectively. When the train passed from the overground to underground, the in-carriage PM2.5 and PM10 concentrations increased by 30.4% and 32.9%, respectively. No specific linear relationship between passenger number and in-carriage PM concentrations was found. In-carriage PM concentrations decreased after the carriage doors were opened on the platforms. PM2.5 inhalation intakes ranged from 1.08 to 9.52, with a mean of 4.24 µg. For the passengers with the same age and sex, the average inhaled PM2.5 intake in the metro carriage on the route with more underground platforms was higher. This study not only revealed the PM characteristics in the Chengdu metro system for the first time, but also provided guidelines for reducing the in-carriage PM concentrations to build a healthier travel environment.

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Section: Introductionmentioning

confidence: 99%

Influencing Factors of Particulate Matter Concentration in the Metro Carriage and the Corresponding Inhalation Intake Estimation: A Field Measurement in Chengdu

et al. 2022

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“…In this paper, numerical simulation is used to analyze the in uence of the changes of di erent parameters on travel guidance under the VMS information release strategy. Assume that the road network structure in a large-scale activity area for the calculation is a Nguyen-Dupuis network [25], as shown in Figure 6. e network has two starting points (entrances to the large-scale activity area) and two destinations (places for activity).…”

Section: Scenario and Parametersmentioning

confidence: 99%

Dynamic Guidance Strategy for Pedestrian Travel in Large-Scale Activity under Harsh Environment

Huang

Chen

Chai³

et al. 2022

Journal of Advanced Transportation

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Large-scale activities such as the Winter Olympics are usually held in areas with low temperature or other harsh environments, which greatly affects the spectating experience of pedestrians. In order to improve the travel efficiency and reduce the safety risk of pedestrians, an adaptive information-distribution strategy of VMS (variable message sign) for road networks is proposed to guide the pedestrians. In the proposed strategy, the dynamic feedback mechanism between the VMS information distribution and the state of crowded pedestrians is established, and the dynamic optimization model of the VMS information release layout is formulated. To evaluate the effectiveness of the strategy, a multiagent-based simulation method is proposed. Through numerical simulation, it is found that the guidance strategy can improve the movement efficiency by adjusting releasing duration of VMS information or improving the information obedience rate of pedestrians. In this paper, a large-scale competition area in the Xiaohaituo Mountain in Beijing was taken as an example to simulate the scenarios of ingress and egress with and without the strategy. The results show that the average walking time and the road congestion can be significantly reduced in the road network with the strategy, and the proportion of pedestrians with shorter travel time can be increased. Therefore, the research can provide theoretical foundation and data support for managers to guide passenger flows and improve the spectating experience.

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“…However, the sensitivity of mode choice behaviour is also often influenced by travel characteristics [32]. In a study conducted in Valencia, Spain, Arroyo et al [33] found that travel with single characteristics (solo) tends to be easier to adapt to sustainable transport programmes.…”

Section: Hypothesis Developmentmentioning

confidence: 99%

How Employees Choose their Commuting Transport Mode: Analysis Using the Stimulus-Organism-Response Model

Djakfar

Bria

Wicaksono

2021

Journal of Advanced Transportation

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Although transport mode choice in commuting from home to work has been studied extensively, no prior research has investigated mode choice as an emotional response to external stimuli using the stimulus-organism-response (SOR) model. Therefore, this study applies the SOR model to explore commuters’ transport mode choice behaviour. The stimulus variables include trip characteristics, transport infrastructure and services, environment, and work characteristics; the organism variable includes the travel experience and attitude of the individual; and the response variables include use of public transport, private transport, and e-hailing. Data were collected using a questionnaire survey of 500 formal-sector workers in Jakarta; 430 respondents provided valid responses for analysis. The survey data were analysed using partial least squares-structural equation modelling. The results showed that the stimulus variables, namely, trip characteristics, transport infrastructure, environment, and work characteristics, had indirect effects on the choice of e-hailing through organism factors (travel experience and attitude). Also, the environment and work characteristic variables had an indirect effect on the choice of private transport through organism factors. Stimulus variables had no indirect effects on public transport usage. When travel experience was the stimulus variable, the indirect effect on public transport usage through attitude as the organism variable was significant. The response to the use of transport modes showed dynamic behaviour, depending on the provided stimulus and organism. These findings can be beneficial for establishing a more comprehensive strategy that includes the provision of infrastructure, improvement of transit service, the built environment, and employers’ policies to realise a sustainable commuting trip.

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Multimode Traffic Travel Behavior Characteristics Analysis and Congestion Governance Research

Cited by 18 publications

References 21 publications

Influencing Factors of Particulate Matter Concentration in the Metro Carriage and the Corresponding Inhalation Intake Estimation: A Field Measurement in Chengdu

Influencing Factors of Particulate Matter Concentration in the Metro Carriage and the Corresponding Inhalation Intake Estimation: A Field Measurement in Chengdu

Dynamic Guidance Strategy for Pedestrian Travel in Large-Scale Activity under Harsh Environment

How Employees Choose their Commuting Transport Mode: Analysis Using the Stimulus-Organism-Response Model

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