Enhancing Smart Cities through Third-Party Logistics: Predicting Delivery Intensity
This article addresses the key and current issues of smart cities in the context of last-mile supply management. Specifically, it explores how third-party logistics (3PL) activities impact last-mile delivery management in smart cities. It examines how 3PL affects delivery volumes, expanding the pred...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-02-01
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| Series: | Smart Cities |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2624-6511/7/1/22 |
| _version_ | 1797296991051448320 |
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| author | Mariusz Kmiecik Aleksandra Wierzbicka |
| author_facet | Mariusz Kmiecik Aleksandra Wierzbicka |
| author_sort | Mariusz Kmiecik |
| collection | DOAJ |
| description | This article addresses the key and current issues of smart cities in the context of last-mile supply management. Specifically, it explores how third-party logistics (3PL) activities impact last-mile delivery management in smart cities. It examines how 3PL affects delivery volumes, expanding the predictive capabilities of logistics operators. A research question included in the Introduction of this paper is also posed to explore the problem in depth. The research conducted focuses mainly on a case study conducted on the operations of an international 3PL logistics operator. In addition, predictive methods are used to analyse the shipment volume data for individual barcodes in the two analysed cities in Poland. Currently, the concept of a smart city assumes the limited participation of logistics operators in creating improvements for cities. The case study analysis shows that in the cities studied, 3PL companies, through predictive actions, can regulate the flow of vehicles out of the logistics centre and into the city, thus influencing the traffic volume in the city. The research is limited to two cities in Poland implementing smart city solutions and one logistics operator. The research also does not include e-commerce. The authors acknowledge that the results obtained cannot be generalised to a larger scale. This paper bridges the research gap on 3PL activities for last-mile logistics improvements. In addition, the paper proposes the first concept related to the implementation of a 3PL company’s predictive activities associated with the operator’s ability to control the impact on urban traffic. |
| first_indexed | 2024-03-07T22:13:48Z |
| format | Article |
| id | doaj.art-34d20cee45434e38990a9f6913865d78 |
| institution | Directory Open Access Journal |
| issn | 2624-6511 |
| language | English |
| last_indexed | 2024-03-07T22:13:48Z |
| publishDate | 2024-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Smart Cities |
| spelling | doaj.art-34d20cee45434e38990a9f6913865d782024-02-23T15:34:26ZengMDPI AGSmart Cities2624-65112024-02-017154156510.3390/smartcities7010022Enhancing Smart Cities through Third-Party Logistics: Predicting Delivery IntensityMariusz Kmiecik0Aleksandra Wierzbicka1Department of Logistics, Silesian University of Technology, 44-100 Gliwice, PolandDepartment of Logistics, Silesian University of Technology, 44-100 Gliwice, PolandThis article addresses the key and current issues of smart cities in the context of last-mile supply management. Specifically, it explores how third-party logistics (3PL) activities impact last-mile delivery management in smart cities. It examines how 3PL affects delivery volumes, expanding the predictive capabilities of logistics operators. A research question included in the Introduction of this paper is also posed to explore the problem in depth. The research conducted focuses mainly on a case study conducted on the operations of an international 3PL logistics operator. In addition, predictive methods are used to analyse the shipment volume data for individual barcodes in the two analysed cities in Poland. Currently, the concept of a smart city assumes the limited participation of logistics operators in creating improvements for cities. The case study analysis shows that in the cities studied, 3PL companies, through predictive actions, can regulate the flow of vehicles out of the logistics centre and into the city, thus influencing the traffic volume in the city. The research is limited to two cities in Poland implementing smart city solutions and one logistics operator. The research also does not include e-commerce. The authors acknowledge that the results obtained cannot be generalised to a larger scale. This paper bridges the research gap on 3PL activities for last-mile logistics improvements. In addition, the paper proposes the first concept related to the implementation of a 3PL company’s predictive activities associated with the operator’s ability to control the impact on urban traffic.https://www.mdpi.com/2624-6511/7/1/22smart city3PL companieslast-mile deliverytraffic studies |
| spellingShingle | Mariusz Kmiecik Aleksandra Wierzbicka Enhancing Smart Cities through Third-Party Logistics: Predicting Delivery Intensity Smart Cities smart city 3PL companies last-mile delivery traffic studies |
| title | Enhancing Smart Cities through Third-Party Logistics: Predicting Delivery Intensity |
| title_full | Enhancing Smart Cities through Third-Party Logistics: Predicting Delivery Intensity |
| title_fullStr | Enhancing Smart Cities through Third-Party Logistics: Predicting Delivery Intensity |
| title_full_unstemmed | Enhancing Smart Cities through Third-Party Logistics: Predicting Delivery Intensity |
| title_short | Enhancing Smart Cities through Third-Party Logistics: Predicting Delivery Intensity |
| title_sort | enhancing smart cities through third party logistics predicting delivery intensity |
| topic | smart city 3PL companies last-mile delivery traffic studies |
| url | https://www.mdpi.com/2624-6511/7/1/22 |
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