Agent-based modeling approach for evaluating underground logistics system benefits and long-term development in megacities

Mobility, pollution, and other barriers against sustainable goods movement are pushing local administrators to seek innovations in urban transportation infrastructure. The urban underground logistics system (ULS) has been recognized as a prospective alternative to realize large-scale automated freig...

Full description

Bibliographic Details
Main Authors: Wanjie Hu, Jianjun Dong, Jingfeng Yuan, Rui Ren, Zhilong Chen, Helan Cheng
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2022-06-01
Series:Journal of Management Science and Engineering
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2096232021000652
_version_ 1818471032060641280
author Wanjie Hu
Jianjun Dong
Jingfeng Yuan
Rui Ren
Zhilong Chen
Helan Cheng
author_facet Wanjie Hu
Jianjun Dong
Jingfeng Yuan
Rui Ren
Zhilong Chen
Helan Cheng
author_sort Wanjie Hu
collection DOAJ
description Mobility, pollution, and other barriers against sustainable goods movement are pushing local administrators to seek innovations in urban transportation infrastructure. The urban underground logistics system (ULS) has been recognized as a prospective alternative to realize large-scale automated freight distribution within and around megacities. This paper proposes an integrated approach combing system dynamics and agent-based modeling to evaluate the long-term development and operating status of a city-wide ULS project. The project boundaries regarding underground network expansion, stakeholders’ attributes, and social-environmental benefit metrics were structured as eight highly-interacted agent modules. Critical decision variables of agents in terms of supply-demand equilibrium, investment plan, pricing-to-market and willingness-to-pay were incorporated into three formulized subsystem models. From empirical perspective, the urban territory of Beijing, China, was taken as a case to simulate the development footprints of ULS project under different funding options and market acceptance degrees. Results show that ULS has significant competence with respect to service capacity and profitability, while enabling billions of dollars of external cost-saving annually. Moreover, the comprehensive performance of ULS project regarding economic incomes, benefits, market demand, and construction schedule can reach satisfactory trade-offs through adaptively adjusting the funding policies, incentives and pricing portfolios during project development.
first_indexed 2024-04-13T21:45:37Z
format Article
id doaj.art-aa0ca6a00e324c7693655e65d52b18e3
institution Directory Open Access Journal
issn 2096-2320
language English
last_indexed 2024-04-13T21:45:37Z
publishDate 2022-06-01
publisher KeAi Communications Co., Ltd.
record_format Article
series Journal of Management Science and Engineering
spelling doaj.art-aa0ca6a00e324c7693655e65d52b18e32022-12-22T02:28:36ZengKeAi Communications Co., Ltd.Journal of Management Science and Engineering2096-23202022-06-0172266286Agent-based modeling approach for evaluating underground logistics system benefits and long-term development in megacitiesWanjie Hu0Jianjun Dong1Jingfeng Yuan2Rui Ren3Zhilong Chen4Helan Cheng5College of Architecture and Civil Engineering, Beijing University of Technology, Beijing, 100124, ChinaCollege of Civil Engineering, Nanjing Tech University, Nanjing, 211800, China; Corresponding author.Department of Construction Management and Real Estate, Southeast University, Nanjing, 210096, ChinaCollege of Defense Engineering, Army Engineering University of PLA, Nanjing, 210001, ChinaCollege of Architecture and Civil Engineering, Beijing University of Technology, Beijing, 100124, China; College of Defense Engineering, Army Engineering University of PLA, Nanjing, 210001, ChinaNanjing KENTOP Civil Engineering CO., LTD, Nanjing, 210041, ChinaMobility, pollution, and other barriers against sustainable goods movement are pushing local administrators to seek innovations in urban transportation infrastructure. The urban underground logistics system (ULS) has been recognized as a prospective alternative to realize large-scale automated freight distribution within and around megacities. This paper proposes an integrated approach combing system dynamics and agent-based modeling to evaluate the long-term development and operating status of a city-wide ULS project. The project boundaries regarding underground network expansion, stakeholders’ attributes, and social-environmental benefit metrics were structured as eight highly-interacted agent modules. Critical decision variables of agents in terms of supply-demand equilibrium, investment plan, pricing-to-market and willingness-to-pay were incorporated into three formulized subsystem models. From empirical perspective, the urban territory of Beijing, China, was taken as a case to simulate the development footprints of ULS project under different funding options and market acceptance degrees. Results show that ULS has significant competence with respect to service capacity and profitability, while enabling billions of dollars of external cost-saving annually. Moreover, the comprehensive performance of ULS project regarding economic incomes, benefits, market demand, and construction schedule can reach satisfactory trade-offs through adaptively adjusting the funding policies, incentives and pricing portfolios during project development.http://www.sciencedirect.com/science/article/pii/S2096232021000652Underground logistics systemSustainable transportProject developmentCost-and-benefitSystem dynamicsAgent-based modeling
spellingShingle Wanjie Hu
Jianjun Dong
Jingfeng Yuan
Rui Ren
Zhilong Chen
Helan Cheng
Agent-based modeling approach for evaluating underground logistics system benefits and long-term development in megacities
Journal of Management Science and Engineering
Underground logistics system
Sustainable transport
Project development
Cost-and-benefit
System dynamics
Agent-based modeling
title Agent-based modeling approach for evaluating underground logistics system benefits and long-term development in megacities
title_full Agent-based modeling approach for evaluating underground logistics system benefits and long-term development in megacities
title_fullStr Agent-based modeling approach for evaluating underground logistics system benefits and long-term development in megacities
title_full_unstemmed Agent-based modeling approach for evaluating underground logistics system benefits and long-term development in megacities
title_short Agent-based modeling approach for evaluating underground logistics system benefits and long-term development in megacities
title_sort agent based modeling approach for evaluating underground logistics system benefits and long term development in megacities
topic Underground logistics system
Sustainable transport
Project development
Cost-and-benefit
System dynamics
Agent-based modeling
url http://www.sciencedirect.com/science/article/pii/S2096232021000652
work_keys_str_mv AT wanjiehu agentbasedmodelingapproachforevaluatingundergroundlogisticssystembenefitsandlongtermdevelopmentinmegacities
AT jianjundong agentbasedmodelingapproachforevaluatingundergroundlogisticssystembenefitsandlongtermdevelopmentinmegacities
AT jingfengyuan agentbasedmodelingapproachforevaluatingundergroundlogisticssystembenefitsandlongtermdevelopmentinmegacities
AT ruiren agentbasedmodelingapproachforevaluatingundergroundlogisticssystembenefitsandlongtermdevelopmentinmegacities
AT zhilongchen agentbasedmodelingapproachforevaluatingundergroundlogisticssystembenefitsandlongtermdevelopmentinmegacities
AT helancheng agentbasedmodelingapproachforevaluatingundergroundlogisticssystembenefitsandlongtermdevelopmentinmegacities