Bridging Global Perspectives: A Comparative Review of Agent-Based Modeling for Block-Level Walkability in Chinese and International Research
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| Publicat a: | Buildings vol. 15, no. 19 (2025), p. 3613-3638 |
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| Autor principal: | |
| Altres autors: | , , , , |
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MDPI AG
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| Accés en línia: | Citation/Abstract Full Text + Graphics Full Text - PDF |
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| 022 | |a 2075-5309 | ||
| 024 | 7 | |a 10.3390/buildings15193613 |2 doi | |
| 035 | |a 3261056727 | ||
| 045 | 2 | |b d20250101 |b d20251231 | |
| 084 | |a 231437 |2 nlm | ||
| 100 | 1 | |a Wang, Yidan |u School of Computer Science, The Open University of China, Beijing 100039, China | |
| 245 | 1 | |a Bridging Global Perspectives: A Comparative Review of Agent-Based Modeling for Block-Level Walkability in Chinese and International Research | |
| 260 | |b MDPI AG |c 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a As cities strive for human-centered and fine-tuned development, Agent-Based Modeling (ABM) has emerged as a powerful tool for simulating pedestrian behavior and optimizing walkable neighborhood design. This study presents a comparative bibliometric analysis of ABM applications in block-scale walkability research from 2015 to 2024, drawing on both Chinese- and English-language literature. Using visualization tools such as VOSviewer, the analysis reveals divergences in national trajectories, methodological approaches, and institutional logics. Chinese research demonstrates a policy-driven growth pattern, particularly following the introduction of the “15-Minute Community Life Circle” initiative, with an emphasis on neighborhood renewal, age-friendly design, and transit-oriented planning. In contrast, international studies show a steady output driven by technological innovation, integrating methods such as deep learning, semantic segmentation, and behavioral simulation to address climate resilience, equity, and mobility complexity. The study also classifies ABM applications into five key application domains, highlighting how Chinese and international studies differ in focus, data inputs, and implementation strategies. Despite these differences, both research streams recognize the value of ABM in transport planning, public health, and low-carbon urbanism. Key challenges identified include data scarcity, algorithmic limitations, and ethical concerns. The study concludes with future research directions, including multimodal data fusion, integration with extended reality, and the development of privacy-aware, cross-cultural modeling standards. These findings reinforce ABM’s potential as a smart urban simulation tool for advancing adaptive, human-centered, and sustainable neighborhood planning. | |
| 653 | |a Behavior | ||
| 653 | |a Technological change | ||
| 653 | |a Built environment | ||
| 653 | |a Public health | ||
| 653 | |a Pedestrians | ||
| 653 | |a Urbanism | ||
| 653 | |a Neighborhoods | ||
| 653 | |a Data integration | ||
| 653 | |a Semantic segmentation | ||
| 653 | |a Transportation planning | ||
| 653 | |a Climate adaptation | ||
| 653 | |a Deep learning | ||
| 653 | |a Climate change | ||
| 653 | |a Mobility | ||
| 653 | |a Simulation | ||
| 653 | |a Perceptions | ||
| 653 | |a Walking | ||
| 653 | |a Growth patterns | ||
| 653 | |a Planning | ||
| 653 | |a International studies | ||
| 653 | |a Decision making | ||
| 653 | |a Spatial analysis | ||
| 653 | |a Data collection | ||
| 653 | |a Urban planning | ||
| 653 | |a Crime prevention | ||
| 653 | |a Design optimization | ||
| 653 | |a Sensory integration | ||
| 653 | |a Agent-based models | ||
| 653 | |a Statistical methods | ||
| 700 | 1 | |a Wang Renzhang |u School of Architecture and Art, North China University of Technology, Beijing 100144, China2024312130121@mail.ncut.edu.cn (X.X.); abaodoc@ncut.edu.cn (B.Z.) | |
| 700 | 1 | |a Xu, Xiaowen |u School of Architecture and Art, North China University of Technology, Beijing 100144, China2024312130121@mail.ncut.edu.cn (X.X.); abaodoc@ncut.edu.cn (B.Z.) | |
| 700 | 1 | |a Zhang, Bo |u School of Architecture and Art, North China University of Technology, Beijing 100144, China2024312130121@mail.ncut.edu.cn (X.X.); abaodoc@ncut.edu.cn (B.Z.) | |
| 700 | 1 | |a White, Marcus |u Centre for Design Innovation, Swinburne University of Technology, Hawthorn, Melbourne, VIC 3122, Australia; marcuswhite@swin.edu.au | |
| 700 | 1 | |a Huang, Xiaoran |u School of Architecture and Art, North China University of Technology, Beijing 100144, China2024312130121@mail.ncut.edu.cn (X.X.); abaodoc@ncut.edu.cn (B.Z.) | |
| 773 | 0 | |t Buildings |g vol. 15, no. 19 (2025), p. 3613-3638 | |
| 786 | 0 | |d ProQuest |t Engineering Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3261056727/abstract/embedded/6A8EOT78XXH2IG52?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text + Graphics |u https://www.proquest.com/docview/3261056727/fulltextwithgraphics/embedded/6A8EOT78XXH2IG52?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3261056727/fulltextPDF/embedded/6A8EOT78XXH2IG52?source=fedsrch |