Spatiotemporal Prediction of the Impact of Dynamic Passenger Flow at Subway Stations on the Sustainable Industrial Heritage Land Use

Ke Chen, Fei Fu (), Fangzhou Tian, Liwei Lin and Can Du
Additional contact information
Ke Chen: School of Architecture, Southwest Jiaotong University, 999 Xi’an Road, Chengdu 611756, China
Fei Fu: School of Architecture, Southwest Jiaotong University, 999 Xi’an Road, Chengdu 611756, China
Fangzhou Tian: School of Architecture, Southwest Jiaotong University, 999 Xi’an Road, Chengdu 611756, China
Liwei Lin: Chenghua District Planning and Natural Resources Bureau, 33 Huatai Road, Chengdu 610052, China
Can Du: School of Automation Engineering, University of Electronic Science and Technology of China, 2006 Xiyuan Avenue, Chengdu 611731, China

Sustainability, 2025, vol. 17, issue 8, 1-21

Abstract: Inefficient land reuse has emerged as a critical pathway for the sustainable development of urban spaces. Efficient land development in megacities’ industrial heritage areas is heavily influenced by the influx of mass passenger flows from new subway stations. To address this issue, a dynamic passenger flow-oriented land use prediction model for subway stations was developed. This model iterates a simulation model for dynamic passenger flow based on tourists and residents with an artificial neural network for land use prediction. By enhancing the kappa coefficient to 0.86, the model accurately simulated pedestrian flow density from stations to streets. Experiments were conducted to predict inefficient land use scenarios, which were then compared with the current state in national industrial heritage areas. The results demonstrated that the AnyLogic-Markov-FLUS Coupled Model outperformed expert experience in objectively assessing dynamic passenger flow impacts on the carrying capacity of old city neighborhoods during peak and off-peak periods at subway stations. This model can assist in resilient urban space planning and decision-making regarding mixed land use.

Keywords: land use transition; AnyLogic-Markov-FLUS Coupled Model; national industrial heritage areas; urban subway station spatial domain; sustainable development (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2071-1050/17/8/3544/pdf (application/pdf)
https://www.mdpi.com/2071-1050/17/8/3544/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:17:y:2025:i:8:p:3544-:d:1635159

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().