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...
Main Authors: | , , , , , |
---|---|
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 |