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Microscopic Simulation of Cruising for Parking of Trucks as a Measure to Manage Freight Loading Zone

Clélia Lopez (), Chuan-Lin Zhao (), Stéphane Magniol (), Nicolas Chiabaut () and Ludovic Leclercq ()
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Clélia Lopez: LICIT, ENTPE/IFSTTAR, Université de Lyon, F-69518 Lyon, France
Chuan-Lin Zhao: School of Civil and Transportation Engineering, Beijing University of Civil Engineering and Architecture, Beijing 100044, China
Stéphane Magniol: LICIT, ENTPE/IFSTTAR, Université de Lyon, F-69518 Lyon, France
Nicolas Chiabaut: LICIT, ENTPE/IFSTTAR, Université de Lyon, F-69518 Lyon, France
Ludovic Leclercq: LICIT, ENTPE/IFSTTAR, Université de Lyon, F-69518 Lyon, France

Sustainability, 2019, vol. 11, issue 5, 1-14

Abstract: This paper investigated economic truck parking behavior to implement comprehensive Freight Loading Zone (FLZ) policies. We assumed that the delivery trucks can only park on FLZ. The proposed contribution is to quantify the cruising for parking time of trucks. We used a microscopic traffic simulation based on a Manhattan network and the real network of Lyon (France). This paper explored the relationship between the searching time, the parking probabilities and the region’s parking density. Based on research results, an application to last mile cost function is proposed.

Keywords: vacant Freight Loading Zone (FLZ) probability; trucks parking policies and design; spatial and temporal evaluation of FLZ; microscopic traffic simulation; region’s parking density (search for similar items in EconPapers)
JEL-codes: Q Q0 Q2 Q3 Q5 Q56 O13 (search for similar items in EconPapers)
Date: 2019
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