Data underlying the manuscript: Investigating Rural Public Spaces with Cultural Significance using Morphological, Cognitive, and Behavioural Data
doi: 10.4121/13564292.v2
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future.
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doi: 10.4121/13564292
doi: 10.4121/13564292
Datacite citation style:
Bai, Nan; Nourian, Pirouz; Huang, Weixin; Wang, Lu; Raoul, Bunschoten et. al. (2021): Data underlying the manuscript: Investigating Rural Public Spaces with Cultural Significance using Morphological, Cognitive, and Behavioural Data. Version 2. 4TU.ResearchData. dataset. https://doi.org/10.4121/13564292.v2
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
choose version:
version 2 - 2021-09-27 (latest)
version 1 - 2021-02-17
usage stats
2066
downloads
927
views
1
citations
categories
geolocation
Anyi, Jiangxi, China
time coverage
2018-2020
licence

This is the research data for the manuscript "Investigating Rural Public Spaces with Cultural Significance using Morphological, Cognitive, and Behavioural Data".
The following is the original abstract:
During the rural [re]vitalization process in China, national strategies required rural public spaces with cultural significance to be identified before planning decision-making. However, places perceived as significant by planners and visitors can differ from the ones mostly used and valued by locals. Even if there is a growing interest in integrating local perspectives and experiences in planning, studies seldom discuss and compare openly the adequacy of spatial configuration, cognition, and behaviour to support it. This study took Anyi Historic Village Cluster as a case study to empirically investigate rural public spaces with three distinct, yet related approaches: 1) Morphological: spatial network centralities based on space syntax; 2) Cognitive: Lynchian village images with semi-structured interviews; 3) Behavioural: spatiotemporal occupation patterns using Wi-Fi positioning tracking. Significant places respectively valued and used by locals and non-locals were detected with the multi-source data. Furthermore, multivariant regression models managed to characterize the relationship among different aspects of investigated rural public spaces, which also helped diagnose places of interest to prioritize in planning, demonstrating the advantage of integrating the sources of information in practice instead of studying them apart. Results can also assist rural planning on how to identify what to preserve, what to enhance, and how to benefit from development without overlooking the local needs or losing the rural identity.
history
- 2021-02-17 first online
- 2021-09-27 published, posted
publisher
4TU.ResearchData
language
zh-hans
funding
- National Key Research and Development Program of China (NO. 2018YFD1100303)
organizations
TU Delft, Faculty of Architecture and the Built EnvironmentTsinghua University
Technische Universität Berlin
DATA
files
- 177,483 bytes md5 bipartite graph.gh
- 55,488 bytes md5 bipartite.csv
- 114,079 bytes md5 bipartite.gephi
- 423,870 bytes md5 link_table.xlsx
- 138,360 bytes md5 metrics1.csv
- 8,397,869 bytes md5 surface.3dm
- 21,974 bytes md5 all_矩阵编码查询.xlsx
- 3,651 bytes md5 basic_information_基本情况.sav
- 25,702 bytes md5 CognitiveMapping_for_drawing村落意向绘图表.xlsx
- 732,359 bytes md5 CognitiveMapping_认知地图.3dm
- 60,390 bytes md5 CognitiveMapping_认知地图.gh
- 5,739,937 bytes md5 Interview_Transcript_补充材料.pdf
- 14,286,582 bytes md5 interview_完整问卷.pdf
- 15,959 bytes md5 key_places_关键场所.sav
- 14,410 bytes md5 locals_村民矩阵编码查询.xlsx
- 14,812 bytes md5 non_locals_非村民矩阵编码查询.xlsx
- 5,276,368 bytes md5 AnyiTrial.ipynb
- 512 bytes md5 aps.csv
- 126,379,494 bytes md5 dataall.csv
- 89,710,190 bytes md5 datanew.csv
- 1,763 bytes md5 DF.csv
- 31,265 bytes md5 flowdate0.csv
- 4,363 bytes md5 flowlocalhour.csv
- 795,343 bytes md5 flowlocaltime.csv
- 8,228,764 bytes md5 flowlocaltm.csv
- 266,676 bytes md5 flowtime.csv
- 44,794 bytes md5 localsum.xlsx
- 16,532 bytes md5 monitoring_of_AP_点位状态.xlsx
- 1,412,119 bytes md5 Bipartite Spatial Network.ipynb
- 13,783 bytes md5 nominated_metrics.csv
- 17,227,237 bytes md5 master_thesis_NanBAI.pdf
- 228,572 bytes md5 timegroup.csv
- 114,722 bytes md5 Synthesis.xlsx
- download all files (zip)