Spatio-temporal analysis of Australia Post parcel locker use during the initial system growth phase in Queensland (2013–2017)
Notice bibliographique
Résumé
There has been limited understanding of parcel locker customers' usage behaviour due a lack of operational data. Using Australia Post's dataset of 51 Queensland parcel lockers, we were able to evaluate the growth in locker locations and customers' parcel collection patterns over their formative five years (2013–2017). This allows for the in-depth spatio-temporal analysis of parcel collections, parcel dwell times, and other relevant variables using linear and mixed regression. This helped to identify the geographical factors associated with the volumes of transactions at each locker, providing new understanding of lockers by location typologies (central, suburban, regional), the separation distances from registered users' addresses (n = 23,021) to their parcel locker locations, and the use of multiple locker locations by users. We found Australia Post parcel locker use grew consistently over the initial growth stage, with noticeable peaks during summer months and holiday seasons. Most collections (40%) were completed outside normal business hours, supporting the 24/7 service advantage. Locker use was higher during weekdays, with peaks around the morning and evening travel peak hours and during lunch breaks within the day. Lunchtime pickups were especially pronounced in central city locations. Parcel dwell times (from notification to collection) were fairly stable (mean 15.53 mins; standard deviation (SD) 20.94 mins), but with weekend collections taking considerably longer than on weekdays. Multiple locker users were more likely to be located in dense urban areas where they could conveniently register to use lockers near both their homes and workplace. Distance from home to locker ranged widely, with extremely high standard deviations seen in Queensland as a whole (mean 23.07 km; median 3.35 km; SD 138.17 km) and also in Brisbane (mean 9.99 km; median 2.61 km; SD 85.42 km) – this suggests usage by individuals from out-of-town. Parcel locker users who made a pickup in the central business district of Brisbane often had suburban residential addresses closer to suburban parcel locker locations, suggesting they were commuters. This study presented novel empirical findings of the spatial and temporal use patterns of last-mile delivery that can inform the future development of parcel locker systems.
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| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
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