A Novel Crowdsourcing Model for Micro-Mobility Ride-Sharing Systems

Elhenawy, Mohammed; Komol, Md. Mostafizur Rahman; Masoud, Mahmoud; Liu, Shi Qiang; Ashqar, Huthaifa I.; Almannaa, Mohammed; Rakha, Hesham A.; Rakotonirainy, Andry

doi:10.3390/s21144636

Cited by 8 publications

(3 citation statements)

References 39 publications

(60 reference statements)

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“…The algorithm of the DSRC system for safety message command and arbitrary emergency control has been described, and the possible scenarios have been analyzed using the simulation study. In summary, this research will open new avenues in movable bridge research, incorporating automation and optimization to make regional and route planning smart and flexible [23,24].…”

Section: Discussionmentioning

confidence: 97%

Simulation Study on an ICT-Based Maritime Management and Safety Framework for Movable Bridges

et al. 2021

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Maritime management is a crucial concern for movable bridge safety. Irregular management of water vehicles near movable bridges may lead to collision among ships and bridge infrastructures, causing massive losses of life and property. The paper presents a theoretical framework and simulation of an intelligent water vehicle management system for movable bridges corresponding to vehicle traffic responses. The water regime around the bridge is considered in virtually separated domains to estimate the desired safety actions based on the position of the approaching ships. An emergency clash avoidance control system is represented to prevent ship-infrastructure collision and ensure transportation safety. In addition, a simulation platform is developed specifically adaptable for movable bridge maritime and dynamic traffic management. The proposed theory is experimented using the simulation platform for different ship speeds and bridge-vehicle traffic volumes. Based on analyzing the velocity profile of approaching ships at different incidents, the bridge is found incapable of evacuating vehicles and unable to open promptly in case of speeding ships and high traffic density of vehicles on the bridge. Computational results show that the emergency control system is effective in reducing ship speed and prevent certain collisions. Lastly, the transportation policy for the newly proposed maritime management system is validated by real-world implementation in movable bridges across the world.

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Section: Discussionmentioning

confidence: 97%

Simulation Study on an ICT-Based Maritime Management and Safety Framework for Movable Bridges

et al. 2021

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“…Spatial analysis plays a crucial role in understanding the spatial patterns and dynamics of shared bicycle usage [18,19]. By employing techniques such as Geographic Information Systems (GIS) and spatial clustering algorithms, researchers have successfully identified areas with high demand and concentrated shared bicycle activity [20,21]. These hotspots are typically characterized by their proximity to transportation hubs, commercial centers, educational institutions, and residential areas, reflecting the diverse needs and preferences of users in different locations [22,23].…”

Section: Introductionmentioning

confidence: 99%

Analyzing the Spatial Interaction Characteristics of Urban Area Shared Bicycle Systems: A Case Study of Beijing’s Central Area

Tian,

Wen,

Sun

2023

Buildings

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Shared bicycle systems play a crucial role in promoting sustainable urban transportation, addressing challenges such as traffic congestion and air pollution. Understanding the spatiotemporal patterns of shared bike usage is essential for optimizing bike-sharing infrastructure and improving transportation planning. In this study, we analyzed 2.4 million records of shared bicycle data to explore the spatial distribution, interaction patterns, and flow dynamics within Beijing’s urban central area. We found that bike distribution peaks during commuting hours, particularly in central regions with employment centers. Complex networks are an important method for studying travel flows. Through a spatial interaction network, we identified key streets with high node strength and popularity, often concentrated in central areas. They experience heavy shared bicycle use during peak hours due to their employment-centric location. Conversely, peripheral areas see increased usage in the evenings, reflecting distinct commuting patterns. The morning exhibits higher positive central values compared to the evening, while negative values show the opposite trend. Based on these findings, we recommend enhancing bike infrastructure in high-density areas with bike lanes and ample shared bikes during peak hours. Implementing mixed-use zoning policies in the central region can reduce traffic congestion. Expanding shared bike services to peripheral regions can promote equitable access. This research underscores the importance of considering spatial and temporal factors in urban transportation planning. Future work should incorporate additional data sources, explore environmental impacts, and analyze usage in different seasons and special events, further contributing to sustainable urban mobility development.

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“…Public interest in micromobility has increased, as it offers affordable and fast use. During the pandemic, people showed more interest in shared bicycles and scooters as an alternative to conventional means of public transport, thus helping to avoid infection [10]. An overview of the shared mobility provided in the Slovak Republic is shown in Figure 1.…”

Section: Introductionmentioning

confidence: 99%

Research on the Impact of COVID-19 on Micromobility Using Statistical Methods

et al. 2022

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The situation of the COVID-19 pandemic has had enormous social and economic impacts and has significantly affected the modal split. Many cities worldwide have adopted various blocking policies that affect how people travel. Micromobility systems, such as scooters and bicycle sharing, were among the transport systems affected by COVID-19. Electric scooters and shared bicycles provide comfortable and fast first-/last-mile connections for short-distance rides. The shared nature of these modes, together with the spread COVID-19, has contributed to the declining use of these services. The quantification of the impact of COVID-19 on shared services was demonstrated by this research through various mathematical methods. Satisfaction with the use of alternative modes of transport during the pandemic was determined based on the evaluation of a questionnaire survey. Independence tests of qualitative features and statistically significant associations that were demonstrated with a correspondence analysis were used for comparison. The main conclusion of the research was to point out the reasons for the preference for alternative modes of transport and to highlight the impacts on health and fears of contracting COVID-19 when using micromobility services.

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A Novel Crowdsourcing Model for Micro-Mobility Ride-Sharing Systems

Cited by 8 publications

References 39 publications

Simulation Study on an ICT-Based Maritime Management and Safety Framework for Movable Bridges

Simulation Study on an ICT-Based Maritime Management and Safety Framework for Movable Bridges

Analyzing the Spatial Interaction Characteristics of Urban Area Shared Bicycle Systems: A Case Study of Beijing’s Central Area

Research on the Impact of COVID-19 on Micromobility Using Statistical Methods

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