A Study on the Construction and Optimization of Urban Old Town Spatial Evaluation Indicators under Shared Autonomous Vehicles (SAVs) Integration Based on the Affinity Diagram Method

DOI

10.2991/978-2-38476-440-2_153How to use a DOI?

Keywords

Old town; Shared autonomous vehicles (SAVs); Affinity diagram; Urban regeneration; Smart transportation

Abstract

This study investigates the spatial and cultural implications of integrating Shared Autonomous Vehicles (SAVs) into Suzhou’s old town, with a focus on user perceptions and adaptive mechanisms. Through in depth semi-structured interviews with ten residents and affinity diagram analysis, the research identifies 16 key perception indicators across four dimensions: residential space, transport infrastructure, urban environment, and cultural-recreational space. Findings reveal that SAVs not only improve accessibility and efficiency but also restructure spatial usage and challenge the continuity of traditional urban forms. The study highlights the tension between technological optimization and the preservation of place based social memory. It concludes that planning for SAVs integration in historic urban areas must balance technological efficiency with cultural and spatial continuity. This exploratory study lays the foundation for future research incorporating diverse stakeholder perspectives and advanced methods such as generative AI, behavioral experiments, and immersive simulations to better understand the long-term impacts of autonomous mobility on traditional urban fabrics.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Sucheng Yao
AU  - Kanjanee Budthimedhee
PY  - 2025
DA  - 2025/07/10
TI  - A Study on the Construction and Optimization of Urban Old Town Spatial Evaluation Indicators under Shared Autonomous Vehicles (SAVs) Integration Based on the Affinity Diagram Method
BT  - Proceedings of the 2025 11th International Conference on Humanities and Social Science Research（ICHSSR 2025)
PB  - Atlantis Press
SP  - 1359
EP  - 1365
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-440-2_153
DO  - 10.2991/978-2-38476-440-2_153
ID  - Yao2025
ER  -