Abstract
The revitalization of traditional villages is shifting from single village to contiguous areas, with a cycling network connecting these villages serving as a key facilitator for the coordinated development of their culture and tourism. However, current rural cycling network planning primarily depends on static, materialized evaluations and fails to leverage the dynamic flow of people in the region, leading to generally low utilization rates. Consequently, this study proposes a method for generating a cycling network based on flow-based attractiveness evaluation. By utilizing Wi-Fi probes to monitor the intensity and stability of people’s movement, we established an attractiveness evaluation for the preliminary cycling route. Based on this evaluation, we incorporated the shortest routes to historical attractions and the concentration of public service facilities to construct an optimal cycling network. The research then conducted an empirical study in the traditional village contiguous area of Tonglu County, China, and found that: (1) the flow attraction of the initial route was highly polarized and unevenly distributed; (2) compared to the original plan, the cycling network generated by this research demonstrated superior overall performance, with improvements in accessibility, connectivity to historical attractions and integration with public service facilities. These findings suggest that the method can be used to create a cycling network that encourages people to remain in traditional village contiguous areas, thereby promoting the synergistic development of culture and tourism.
Similar content being viewed by others
Data availability
All data sources have been listed in the manuscript. The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.
References
Tang, H., Liu, X., Li, J. & Wang, H. Study on the conservation and renewal of traditional rural tourism spaces: A perspective based on tourists’ revisit intention. J. Clean. Prod. 499, 145184 (2025).
Wang, Y., Huang, A., Wang, F., Cheng, Z. & Wang, M. Land use functions serve as a critical tool for advancing the settlements quality assessment in traditional villages: a case study of Guizhou Province. Land 14, 462 (2025).
Ministry of Finance of the People’s Republic of China & Ministry of Housing and Urban-Rural Development of the People’s Republic of China. 2020 Evaluation Results of Demonstration Projects for Concentrated and Contiguous Conservation of Traditional Villages. https://dl.mof.gov.cn/tongzhitonggao/202006/t20200602_3524718.htm. (2020).
Ministry of Finance of the People’s Republic of China & Ministry of Housing and Urban-Rural Development of the People’s Republic of China. 2022 List of Demonstration Counties (Cities/Districts) for Concentrated and Contiguous Conservation of Traditional Villages. https://jjs.mof.gov.cn/tongzhigonggao/202203/t20220328_3798827.htm. (2022).
Ministry of Finance of the People’s Republic of China & Ministry of Housing and Urban-Rural Development of the People’s Republic of China. 2023 List of Demonstration Counties (Cities/Districts) for Concentrated and Contiguous Conservation of Traditional Villages. https://jjs.mof.gov.cn/tongzhigonggao/202304/t20230403_3876888.htm. (2023).
Ministry of Finance of the People’s Republic of China & Ministry of Housing and Urban-Rural Development of the People’s Republic of China. 2024 List of Demonstration Counties (Cities/Districts) for Concentrated and Contiguous Conservation of Traditional Villages https://m.mof.gov.cn/tzgg/202404/t20240401_3931918.htm. (2024).
Peng, J. et al. Construction of a symbiotic traffic network of traditional villages in the Western Hunan region of China based on circuit theory. Sustainability 16, 5468 (2024).
Loire à Vélo. Quelques chiffres clés. https://www.loireavelo.fr/qui-sommes-nous/. (2022).
Petri, L. & Kamminga, J. Health, climate, cost, and transportation Amsterdam’s bicycle revolution. Transp. Constr. Manag. 16, 60–65 (2016).
Ministry of Culture and Tourism of the People’s Republic of China. Guidelines for Promoting Sustainable Development of Rural Tourism. https://www.gov.cn/zhengce/zhengceku/2018-12/31/content_5439318.htm,2018-11-15. (2018).
Zhang, J. H. Study on the planning and design of scenic tourism greenway—a case study on the planning and design of Qiandao Lake Greenway in Chun’an County, Zhejiang Province. Chin. Landsc. Archit. 36, 54–58 (2020).
McHarg, I. L. Design with Nature (American Museum of Natural History, 1969).
Deng, X. et al. A multi-scale user-friendliness evaluation approach on cycling network utilizing multi-source data. Appl. Geogr. 173, 103454 (2024).
Fonseca, F., Ribeiro, P. & Neiva, C. A planning practice method to assess the potential for cycling and to design a bicycle network in a starter cycling city in Portugal. Sustainability 15, 4534 (2023).
Kamel, M. B., Sayed, T. & Bigazzi, A. A composite zonal index for biking attractiveness and safety. Accid. Anal. Prev. 137, 105439 (2020).
Meng, S. & Zheng, H. A personalized bikeability-based cycling route recommendation method with machine learning. Int. J. Appl. Earth Obs. Geoinf. 121, 103373 (2023).
Li, W. et al. Informed sampling and recommendation of cycling routes: leveraging people-sourced trajectories with weighted-latent Dirichlet allocation. Int. J. Geogr. Inf. Sci. 38, 2492–2513 (2024).
Rolando, A. & Scandiffio, A. Multimodal access to minor places in heritage-rich landscapes: GIS mapping to define slow-tourism routes from the stations in the railway networks in-between Turin and Milan. Sustainability 14, 15723 (2022).
Caravaggi, L., Imbroglini, C. & Lei, A. Rome’s GRAB—great bicycle ring route—as complex landscape infrastructure. Sustainability 14, 1023 (2022).
Suárez, M. A., Salas, E. L., Franco, I. C. & Sousa, A. Á. Towards a methodology of good practices for heritage-led rural regeneration: From the main paths to the surrounding areas. Cities 161, 105849 (2025).
Liu, Y. et al. An integrated approach for urban green travel environments: Planning factors, benefits and barriers as perceived by users and planners. J. Transp. Geogr. 117, 103849 (2024).
Kronenberg, J. et al. Environmental justice in the context of urban green space availability, accessibility, and attractiveness in postsocialist cities. Cities 106, 102862 (2020).
Vatanparast, E., Shataee Joibari, S., Salmanmahiny, A. & Hansen, R. Urban greenway planning: Identifying optimal locations for active travel corridors through individual mobility assessment. Urban For. Urban Green. 101, 128464 (2024).
Chen, Y., Jia, B., Wu, J., Liu, X. & Luo, T. Temporal and spatial attractiveness characteristics of Wuhan urban riverside from the perspective of traveling. Land 11, 1434 (2022).
Thrift, N. Time and theory in human geography: Part II. Prog. Hum. Geogr. 1, 413–457 (1977).
Tang, Z. et al. A data-informed analytical approach to human-scale greenway planning: Integrating multi-sourced urban data with machine learning algorithms. Urban For. Urban Green. 56, 126871 (2020).
Łukawska, M., Paulsen, M., Rasmussen, T. K., Jensen, A. F. & Nielsen, O. A. A joint bicycle route choice model for various cycling frequencies and trip distances based on a large people sourced GPS dataset. Transport. Res. Part A Policy Practice 176, 103834 (2023).
Merry, K. & Bettinger, P. Smartphone GPS accuracy study in an urban environment. PLoS ONE 14, e0219890 (2019).
Zhou, J., Hou, Q. & Dong, W. Spatial characteristics of population activities in suburban villages based on cellphone signaling analysis. Sustainability 11, 2159 (2019).
Chen, C. et al. From biases to opportunities: leveraging Location-Based-Service (LBS) data for next-generation transportation planning. Transport. Res. Part C Emerg. Technol. 182, 105416 (2026).
Long, Y. & Zhang, E. City laboratory: Embracing new data, new elements, and new pathways to invent new cities. Environ. Plan. B Urban Anal. City Sci. 51, 1068–1072 (2024).
Pritchard, R. Revealed preference methods for studying bicycle route choice—a systematic review. IJERPH 15, 470 (2018).
Adlakha, D., Tully, M. A. & Mansour, P. Assessing the impact of a new urban greenway using mobile, wearable technology-elicited walk- and bike-along interviews. Sustainability 14, 1873 (2022).
Ministry of Housing and Urban-Rural Development of the People’s Republic of China. Greenway Planning and Design Guidelines. https://www.mohurd.gov.cn/gongkai/zc/wjk/art/2016/art_17339_229168.html. (2016).
Comber, A., Brunsdon, C. & Green, E. Using a GIS-based network analysis to determine urban greenspace accessibility for different ethnic and religious groups. Landsc. Urban Plan. 86, 103–114 (2008).
Jenks, G. F. The data model concept in statistical mapping. Int. Yearb. Cartogr. 7, 186–190 (1967).
Song, J., Zhu, Y., Chu, X. & Yang, X. Research on the vitality of public spaces in tourist villages through social network analysis: a case study of Mochou Village in Hubei, China. Land 13, 359 (2024).
Xu, D. H., Zhang, Z. Q., Zhu, W. & Pan, S. W. Compatible or exclusive? Mechanism study on different preferences of public space between villagers and tourists in the tourism-oriented villages. New Archit. 3, 101–106 (2022).
Traunmueller, M. W., Johnson, N., Malik, A. & Kontokosta, C. E. Digital footprints: Using Wi-Fi probe and locational data to analyze human mobility trajectories in cities. Comput. Environ. Urban Syst. 72, 4–12 (2018).
Zhou, Y. R. et al. Understanding people behaviors in a social event by passive Wi-Fi sensing and data mining. IEEE Internet Things J. 7, 4442–4454 (2020).
Chilipirea, C., Dobre, C., Baratchi, M. & van Steen, M. Identifying movements in noisy people analytics data. In: 2018 19th IEEE International Conference on Mobile Data Management (MDM), 161–166 (IEEE, 2018).
Li, L. et al. Space–time tourist flow patterns in community-based tourism: an application of the empirical orthogonal function to Wi-Fi data. Curr. Issue Tour. 26, 3004–3022 (2023).
Ding, X., Liu, Z. & Xu, H. The passenger flow status identification based on image and Wi-Fi detection for urban rail transit stations. J. Vis. Commun. Image Represent. 58, 119–129 (2019).
Zhao, X., Lu, Y., Huang, W. & Lin, G. Assessing and interpreting perceived park accessibility, usability and attractiveness through texts and images from social media. Sustain. Cities Soc. 112, 105619 (2024).
Cats, O. & Ferranti, F. Voting with one’s feet: Unraveling urban centers attraction using visiting frequency. Cities 127, 103773 (2022).
Chen, J., Yang, S. T., Li, H. W., Zhang, B. & Lv, J. R. Research on geographical environment unit division based on the method of natural breaks (Jenks). Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci. XL-4/W3, 47–50 (2013).
Hillier, B. Space and spatiality: what the built environment needs from social theory. Build. Res. Inf. 36, 216–230 (2008).
Hillier, B. & Hanson, J. The Social Logic of Space (Cambridge University Press, 1984).
Li, Y., Yabuki, N. & Fukuda, T. Integrating GIS, deep learning, and environmental sensors for multicriteria evaluation of urban street walkability. Landsc. Urban Plan. 230, 104603 (2023).
Wang, C. X., Huang, J. W. & Lin, G. S. Research on urban greenway planning methods based on suitability evaluation. Landsc. Archit. 27(7), 108–113 (2020).
Ye, Y., Huang, R. & Zhang, L. Z. Human-oriented urban design with support of multi-source data and deep learning: a case study on urban greenway planning of Suzhou Creek, Shanghai. Landsc. Archit. 28(1), 39–45 (2021).
Yu, C. M. et al. Research on the identification of cycle commuting routes and network optimization in employment centers: a case study based on Beijing’s Jiangtai-Jiuxianqiao Area. South. Archit. 3, 52–62 (2023).
Liu, J., Huang, Z., Wu, X. & Hou, Q. Optimization of urban village public space vitality based on complex network. Sci. Rep. 15, 15392 (2025).
Acknowledgements
Authors thank the National Natural Science Foundation of China (Grant number 51908495) and Zhejiang Provincial Philosophy and Social Sciences Planning Project (Grant number 25NDJC158YB) for the financial support of this study.
Author information
Authors and Affiliations
Contributions
S.L.: conceptualization, methodology, writing and review; S.W.: experiment, data curation, analysis and writing; Y.G.: review and editing; Y.Z.: experiment, data curation. All authors read and approved the final manuscript.
Corresponding author
Ethics declarations
Competing interests
The authors declare no competing interests.
Additional information
Publisher’s note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary Information
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, 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 licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.
About this article
Cite this article
Liu, S., Wang, S., Gao, Y. et al. A method for planning cycling networks in traditional village contiguous areas using Wi-Fi probe-based attractiveness evaluation. Sci Rep (2026). https://doi.org/10.1038/s41598-026-36085-1
Received:
Accepted:
Published:
DOI: https://doi.org/10.1038/s41598-026-36085-1


