Passenger Mobility in a Discontinuous Space: Modelling Access/Egress to Maritime Barrier in a Case Study

Birgillito, G.; Rindone, Corrado; Vitetta, Antonino

doi:10.1155/2018/6518329

Cited by 29 publications

(22 citation statements)

References 27 publications

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“…A 2019 travel survey found that women perform double the number of trips for domestic tasks, such as taking children to school, when compared to men [19]. Unfortunately, common specifications of transport models should be adjusted for specific cases [20], such as taking into account the patterns between residential households' location and mobility choices [21]. In the context of gender equality, these specifications should clearly consider family dynamics.…”

Section: Women's Mobility and Travel Behaviourmentioning

confidence: 99%

Women in Transport Research and Innovation: A European Perspective

et al. 2021

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Several gender differences exist in the transport sector. These include accessibility to transport modes, safety and security when travelling, and the participation of women in transport research and innovation (R&I). In order to achieve sustainable and inclusive transport, planners and policymakers should consider all impacts on gender equality. This paper sheds light on two main issues which interconnect through the decision-making process. The first relates to women’s behaviour in the transport system (i.e., studies the gender mobility gap). The second concerns the role of women in transport R&I, particularly the topics covered by research projects and relevant descriptive statistics of their participation in the sector. Based on a literature review, this paper identifies critical issues in the European transport sector and key European Union policy initiatives and regulations that address gender equality and transport. The European Commission’s Transport Research and Innovation Monitoring and Information System (TRIMIS) is used to summarise the status and evolution of European research in addressing women’s issues in transport. It also analyses the participation of women in European transport research and innovation activities. The paper assesses progress to date and identifies challenges and opportunities for women, mobility, and transport. It concludes by providing policy recommendations to overcome the major barriers to gender equality in the European transport sector and to transport research and innovation.

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Section: Women's Mobility and Travel Behaviourmentioning

confidence: 99%

Women in Transport Research and Innovation: A European Perspective

et al. 2021

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“…Using the survey data from the Dutch railway, Debrezion et al [34] found that only 47% of the passengers choose their nearest station. Birgillito et al used the stochastic utility model to study the main variables that affect passenger choice and their relative weights in discontinuous spaces [35]. is study does illustrate that the boundary of station catchment areas also depends on the access to facilities and services at stations.…”

Section: Literature Reviewmentioning

confidence: 99%

Improved Huff Model for Estimating Urban Rail Transit Station Catchment Areas considering Station Choices

Zhu

Guo

et al. 2021

Journal of Advanced Transportation

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Estimating urban rail transit station catchment areas is of great significance to deepening our understanding of Transit-Oriented Development in Chinese megacities. This study investigated station choices of residents and considered that residents may not only pay attention to the proximity to stations when the URT system develops into a relatively mature network. An improved Huff model was proposed to calculate the probability of residents’ station choice, which considered the station attractiveness. The station attractiveness is measured by three variables: walk score, public transport accessibility level, and service and facility index. The additive form based on multicriteria decision is adopted to incorporate experts’ opinions on the importance of three variables. In this study, extended catchment areas that can be accessed by cycling and feeder bus services are adopted to replace the conventional pedestrian-oriented catchment areas. A case study of Xi’an, China, was used to validate the applicability of the proposed methodology. The results revealed that the methodology effectively solved the problem. The findings could be used as a reference and provide technical support to policymakers and city planners with regard to the transport facilities configuration for URT station catchment areas, which contributes to facilitating transit-oriented development.

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“…The high level of the ITS Part 4-transport monitor and management can get the whole information and set the objectives and constraints on Part 3. Many new developed models, algorithms, and equipment could be integrated in the architecture [47,48].…”

Section: Of 18mentioning

confidence: 99%

An Integrated Algorithm for Intersection Queue Length Estimation Based on IoT in a Mixed Traffic Scenario

et al. 2020

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Featured Application: The proposed algorithm and architecture has the capability of estimating the queue length of waiting vehicles at a signalized intersection, where traffic cameras, edge server, and some connected vehicles are available. This method can resolve the queue length estimation problem in a mixed traffic scenario, especially when there are variable types of vehicles. It can provide key information for traffic lights control and improve the traffic efficiency.Abstract: Nowadays, traffic infrastructures and vehicles are connected through the network benefiting from the development of Internet of Things (IoT). Connected automated cars can provide some useful traffic information. An architecture and algorithm of mobile service computing are proposed for traffic state sensing by integration between IoT and transport system models (TSMs). The formation process of queue at this intersection is analyzed based on the state information of connected vehicles and the velocity of shockwave is calculated to predict queue length. The computing results can be delivered to the traffic information edge server. However, not all the vehicles are capable of connecting to the network and will affect the queue length estimation accuracy. At the same time, traffic cameras transmit the traffic image to the edge server and a deep neuron network (DNN) is constructed on the edge server to tackle the traffic image. It can recognize and classify the vehicles in the image but takes several seconds to work with the complex DNN. At last, the final queue length is determined according to the weight of the two computing results. The integrated result is delivered to the traffic light controller and traffic monitoring center cloud. It reveals that the estimation from DNN can compensate the estimation from shockwave when the penetration rate of connected vehicles is low. A testbed is built based on VISSIM, and the evaluation results demonstrate the availability and accuracy of the integrated queue length estimation algorithm.

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Passenger Mobility in a Discontinuous Space: Modelling Access/Egress to Maritime Barrier in a Case Study

Cited by 29 publications

References 27 publications

Women in Transport Research and Innovation: A European Perspective

Women in Transport Research and Innovation: A European Perspective

Improved Huff Model for Estimating Urban Rail Transit Station Catchment Areas considering Station Choices

An Integrated Algorithm for Intersection Queue Length Estimation Based on IoT in a Mixed Traffic Scenario

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