Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/117661
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | School of Design | en_US |
| dc.contributor | Research Centre for Cultural and Art Technology | en_US |
| dc.creator | Chen, Y | en_US |
| dc.creator | Duh, H | en_US |
| dc.date.accessioned | 2026-02-26T03:47:52Z | - |
| dc.date.available | 2026-02-26T03:47:52Z | - |
| dc.identifier.uri | http://hdl.handle.net/10397/117661 | - |
| dc.language.iso | en | en_US |
| dc.publisher | Nature Publishing Group | en_US |
| dc.rights | 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/. | en_US |
| dc.rights | © The Author(s) 2025 | en_US |
| dc.rights | The following publication CHEN, Y., Duh, H. Exploring the cultural landscape of Hong Kong through spatial analysis of street names. npj Herit. Sci. 13, 518 (2025) is available at https://doi.org/10.1038/s40494-025-02084-0. | en_US |
| dc.title | Exploring the cultural landscape of Hong Kong through spatial analysis of street names | en_US |
| dc.type | Journal/Magazine Article | en_US |
| dc.identifier.volume | 13 | en_US |
| dc.identifier.doi | 10.1038/s40494-025-02084-0 | en_US |
| dcterms.abstract | This study examines the cultural landscape of Hong Kong through a systematic analysis of its street names. Geographic data for 4095 street names were collected, and 1454 annotations were added, utilizing a modified version of the Australian National Placenames Survey (ANPS) categorization system. The study classifies Hong Kong’s street names into seven distinct groups: descriptive, associative, evaluative, occurrent, copied, eponymous, and innovative. By employing ArcGIS StoryMap, Kernel Density Estimation (KDE), and Standard Deviational Ellipse (SDE) analysis, the research reveals distinct patterns in the distribution of street names, reflecting historical and cultural influences. Further discussion highlights how these street names reveal Hong Kong’s colonial past, multicultural background, reclamation changes, and commercial legacy. Based on these findings, the study proposes preservation strategies focusing on regional protection zones, cultural landscape tourism, and historical education initiatives to safeguard this valuable aspect of Hong Kong’s cultural heritage. | en_US |
| dcterms.accessRights | open access | en_US |
| dcterms.bibliographicCitation | npj heritage science, 2025, v. 13, 518 | en_US |
| dcterms.isPartOf | npj heritage science | en_US |
| dcterms.issued | 2025 | - |
| dc.identifier.scopus | 2-s2.0-105018847493 | - |
| dc.identifier.eissn | 3059-3220 | en_US |
| dc.identifier.artn | 518 | en_US |
| dc.description.validate | 202602 bcch | en_US |
| dc.description.oa | Version of Record | en_US |
| dc.identifier.FolderNumber | OA_Scopus/WOS | - |
| dc.description.fundingSource | Self-funded | en_US |
| dc.description.pubStatus | Published | en_US |
| dc.description.oaCategory | CC | en_US |
| Appears in Collections: | Journal/Magazine Article | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| s40494-025-02084-0.pdf | 23.54 MB | Adobe PDF | View/Open |
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