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Published VersionCC BY V4.0, Open Access
Journal article
Data stories from urban loading bays
European Transport Research Review, Vol.9(4), pp.1-16
2017
Abstract
Purpose
Freight vehicle parking facilities at large urban freight traffic generators, such as urban retail malls, are often characterized by a high volume of vehicle arrivals and a poor parking supply infrastructure. Recurrent congestion of freight parking facilities generates environmental (e.g. pollution), economic (e.g. delays in deliveries) and social (e.g. traffic) negative externalities. Solutions aimed at either improving or better managing the existing parking infrastructure rely heavily on data and data-driven models to predict their impact and guide their implementation. In the current work, we provide a quantitative study of the parking supply and freight vehicle drivers’ parking behaviour at urban retail malls.
Methods
We use as case studies two typical urban retail malls located in Singapore, and collect detailed data on freight vehicles delivering or picking up goods at these malls. Insights from this data collection effort are relayed as data stories. We first describe the parking facility at a mall as a queueing system, where freight vehicles are the agents and their decisions are the parking location choice and the parking duration.
Results
Using the data collected, we analyse (i) the arrival rates of vehicles at the observed malls, (ii) the empirical distribution of parking durations at the loading bays, (iii) the factors that influence the parking duration, (iv) the empirical distribution of waiting times spent by freight vehicle queueing to access the loading bay, and (v) the driver parking location choices and how this choice is influenced by system congestion.
Conclusions
This characterisation of freight driver behaviour and parking facility system performance enables one to understand current challenges, and begin to explore the feasibility of freight parking and loading bay management solutions.
Details
- Title
- Data stories from urban loading bays
- Authors
- Giacomo Dalla Chiara - Singapore University of Technology and DesignLynette Cheah (Corresponding Author) - Singapore University of Technology and Design
- Publication details
- European Transport Research Review, Vol.9(4), pp.1-16
- Publisher
- SpringerOpen
- Date published
- 2017
- DOI
- 10.1007/s12544-017-0267-3
- ISSN
- 1866-8887; 1867-0717
- Copyright note
- This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
- Organisation Unit
- School of Science, Technology and Engineering
- Language
- English
- Record Identifier
- 991029280102621
- Output Type
- Journal article
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