Joint modeling of arrivals and parking durations for freight loading zones: Potential applications to improving urban logistics

Kalahasthi, Lokesh Kumar; Sánchez-Díaz, Iván; Castrellon, Juan Pablo; Gil, J Osé Maria; Browne, Michael; Hayes, Shannon; Ros, Carles Sentís

doi:10.1016/j.tra.2022.11.003

Cited by 10 publications

(2 citation statements)

References 26 publications

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“…The median value for all the recorded operations was 15.17 min and the mode 25.29 min. Readers can refer to Kalahasthi et al ( 9 ) for a detailed descriptive analysis of parking operations from this case study.…”

Section: Resultsmentioning

confidence: 99%

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Enabling Factors and Durations Data Analytics for Dynamic Freight Parking Limits

Castrellon

Sánchez-Díaz

Kalahasthi

2022

Transportation Research Record: Journal of the Transportation R

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Freight parking operations occur amid conflicting conditions of public space scarcity, competition with other users, and the inefficient management of loading zones (LZ) at cities’ curbside. The dynamic nature of freight operations, and the static LZ provision and regulation, accentuate these conflicting conditions at specific peak times. This generates supply–demand mismatches of parking infrastructure. These mismatches have motivated the development of Smart LZ that bring together technology, parking infrastructure, and data analytics to allocate space and define dynamic duration limits based on users’ needs. Although the dynamic duration limits unlock the possibility of a responsive LZ management, there is a narrow understanding of factors and analytical tools that support their definition. Therefore, the aim of this paper is twofold. Firstly, to identify factors for enabling dynamic parking durations policies. Secondly, to assess data analytics tools that estimate freight parking durations and LZ occupation levels based on operational and locational features. Semi-structured interviews and focus group analyses showed that public space use assessment, parking demand estimation, enforcement capabilities, and data sharing strategies are the most relevant factors when defining dynamic parking limits. This paper used quantitative models to assess different analytical tools that study LZ occupation and parking durations using tracked freight parking data from the City of Vic (Spain). CatBoost outperformed other machine learning (ML) algorithms and queuing models in estimating LZ occupation and parking durations. This paper contributes to the freight parking field by understanding how data analytics support dynamic parking limits definition, enabling responsive curbside management.

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Section: Resultsmentioning

confidence: 99%

“…Vienna (Austria) implemented “i-Ladezone” for LZ monitoring and control to avoid unlawful usage of such bays ( 8 ). Vic (Spain) implemented the app-based Parkunload ® for LZ check-in and check-out ( 9 ). But technology itself is not enough.…”

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confidence: 99%

Enabling Factors and Durations Data Analytics for Dynamic Freight Parking Limits

Castrellon

Sánchez-Díaz

Kalahasthi

2022

Transportation Research Record: Journal of the Transportation R

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Liefer- und Ladeflächen für Lastenräder

Mayregger

2024

Radlogistik

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ZusammenfassungFür eine störungsarme Abwicklung der Radlogistik ist es notwendig, geeignete Ladeflächen zu schaffen. In der Regel ist es sinnvoll, Lastenräder auf den herkömmlichen Ladeflächen abzustellen. In einigen Fällen kann jedoch auch die Ausweisung exklusiv durch Lastenräder nutzbarer Ladeflächen sinnvoll sein. Dieses Kapitel befasst sich zunächst mit strategischen Fragen der Planung von Liefer- und Ladeflächen und der Bedarfsermittlung. Dabei werden zudem lastenradexklusive Liefer- und Ladeflächen thematisiert. Da jedoch auch konventionelle Liefer- und Ladeflächen von der Radlogistik genutzt werden können, werden hier ebenso Themen angesprochen, die konventionelle Liefer- und Ladeflächen betreffen.

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The analysis of the shared bike usage pattern: Application of survival model to Taiwan YouBike

Fu,

Yen,

Yeh

2024

Asian Transport Studies

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Joint modeling of arrivals and parking durations for freight loading zones: Potential applications to improving urban logistics

Cited by 10 publications

References 26 publications

Enabling Factors and Durations Data Analytics for Dynamic Freight Parking Limits

Enabling Factors and Durations Data Analytics for Dynamic Freight Parking Limits

Liefer- und Ladeflächen für Lastenräder

The analysis of the shared bike usage pattern: Application of survival model to Taiwan YouBike

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