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Updated: Sep 2, 2025

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street
Published on: January 20, 2023
VRP in urban areas to optimize costs while mitigating environmental impact.
Carmine Cerrone1, Anna Sciomachen1
1Department of Economics and Business Studies, University of Genoa, Via Vivaldi 5, 16126 Genoa, Italy.
This study introduces a new approach to sustainable urban freight distribution, optimizing delivery routes to cut costs and environmental impact. It incorporates vehicle sanitation needs, crucial for public health and efficient logistics in smart cities.
Area of Science:
- Operations Research
- Sustainable Logistics
- Smart City Planning
Background:
- Growing recognition of sustainable mobility needs for goods and people.
- Focus on urban freight distribution within the smart city paradigm.
- Introduction of new public health requirements for vehicle sanitation post-COVID-19.
Purpose of the Study:
- To minimize costs in urban freight distribution, including travel and environmental externalities.
- To develop a sustainable urban freight distribution model incorporating vehicle sanitation constraints.
- To address the complexities of urban logistics through innovative route optimization.
Main Methods:
- Modeling the distribution network as a weighted digraph with proven properties.
- Developing a mixed-integer linear programming model for route optimization.
- Implementing a math-heuristic and a memetic algorithm for efficient problem-solving.
Main Results:
- Demonstrated efficiency of the proposed methods through computational experiments on random instances.
- Validation of the methods using real-world data from two B2C companies in Genoa, Italy.
- Successful application in creating sustainable urban distribution plans.
Conclusions:
- The proposed methods are effective for sustainable urban freight distribution.
- The model successfully balances economic, environmental, and public health objectives.
- This research contributes to the advancement of smart city logistics and sustainable mobility.
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