Analysis of the environmental impacts of unloading bays based on cellular automata simulation

被引：56

作者：

Iwan, Stanislaw ^{[1
]}

Kijewska, Kinga ^{[1
]}

Johansen, Bjorn Gjerde ^{[2
]}

Eidhammer, Olav ^{[2
]}

Malecki, Krzysztof ^{[3
]}

Konicki, Wojciech ^{[1
]}

Thompson, Russell G. ^{[4
]}

机构：

[1] Maritime Univ Szczecin, Fac Econ & Transport Engn, 11 Poboznego Str, PL-70705 Szczecin, Poland

[2] Inst Transport Econ, Gaustadalleen 21, N-0349 Oslo, Norway

[3] West Pomeranian Univ Technol, Dept Comp Sci, 52 Zolnierska St, PL-71210 Szczecin, Poland

[4] Univ Melbourne, Melbourne Sch Engn, Dept Infrastruct Engn, Parkville, Vic, Australia

来源：

TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT | 2018年 / 61卷

关键词：

Urban freight transport; Environmentally friendly transport; Unloading bays; Bicycle freight transport; Cellular automata; Pollution models; URBAN FREIGHT;

D O I：

10.1016/j.trd.2017.03.020

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Urban freight transport contributes to a number of environmental problems, such as poor air quality, noise and greenhouse gas emissions. Analysing the impact of UFT measures is particularly important, since improving the situation for freight deliveries more often than not will be at the expense of the citizens. Unloading bays are one of the most popular and simple solutions to implement to support the development of a sustainable urban freight transport system. This measure is aimed at reducing the congestion in busy city streets, which is often caused by delivery vehicles parking directly on traffic lanes to perform their (un)loading operations. The analysis, presented in this paper, is aimed at emphasising the advantages of unloading bays for the public, and thus enhancing the arguments in favour of popularisation of unloading bays. We simulate the traffic in areas of Szczecin and Oslo, and compare the situation without unloading bays to the situation with unloading bays. This is used to predict the benefits of unloading bays in terms of traffic flow and emissions. The basis of the analysis is utilization of a scenario-based approach and cellular automata simulation. (C) 2017 Elsevier Ltd. All rights reserved.

引用

页码：104 / 117

页数：14

共 26 条

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