Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/108699
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Land Surveying and Geo-Informatics | - |
dc.creator | Xiao, Z | - |
dc.creator | Peng, Z | - |
dc.creator | Yu, Z | - |
dc.creator | Liu, X | - |
dc.date.accessioned | 2024-08-27T04:40:04Z | - |
dc.date.available | 2024-08-27T04:40:04Z | - |
dc.identifier.uri | http://hdl.handle.net/10397/108699 | - |
dc.language.iso | en | en_US |
dc.publisher | MDPI AG | en_US |
dc.rights | © 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). | en_US |
dc.rights | The following publication Xiao Z, Peng Z, Yu Z, Liu X. Generating Natural Cities Using 3D Road Network to Explore Living Structure: A Case Study in Hong Kong. Smart Cities. 2023; 6(3):1485-1506 is available at https://doi.org/10.3390/smartcities6030070. | en_US |
dc.subject | Complex system | en_US |
dc.subject | Head/tail breaks | en_US |
dc.subject | Living structure | en_US |
dc.subject | Natural cities | en_US |
dc.title | Generating natural cities using 3D road network to explore living structure : a case study in Hong Kong | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.spage | 1485 | - |
dc.identifier.epage | 1506 | - |
dc.identifier.volume | 6 | - |
dc.identifier.issue | 3 | - |
dc.identifier.doi | 10.3390/smartcities6030070 | - |
dcterms.abstract | Compared with administrative cities, natural cities can be generally referred to as the areas generated based on the density of different urban facilities (e.g., point of interest, road network, etc.). To some extent, natural cities are outperformed in some related urban studies, such as urban living structure analysis. Nevertheless, traditional ways of generating natural cities are mostly limited to the planar space. Modern cities such as Hong Kong are vertical cities with high buildings, 3D road networks and land uses. Therefore, traditional nature cities could be biased when applied to 3D cities. In this work, a 3D road network in Hong Kong is adopted to extract true road intersections and generate modified natural cities to explore urban living structures. Numerous living structure units are classified into two parts: tiny and serried ones representing natural cities and vast ones representing rural areas. The classification method applies head/tail breaks, and a clustering algorithm was fitted for heavy-tailed distribution. According to the living structure theory, the living structures of the proposed natural cities and traditional natural cities based on the same road network in Hong Kong are compared. The findings show that the distribution of modified natural city regions is more reasonable compared with typical ones. The improved model will more clearly show the inherent living structure of the city and will allow an analysis of the relationship between the part and wholeness of the city. | - |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | Smart cities, June 2023, v. 6, no. 3, p. 1485-1506 | - |
dcterms.isPartOf | Smart cities | - |
dcterms.issued | 2023-06 | - |
dc.identifier.scopus | 2-s2.0-85163734692 | - |
dc.identifier.eissn | 2624-6511 | - |
dc.description.validate | 202408 bcch | - |
dc.description.oa | Version of Record | en_US |
dc.identifier.FolderNumber | OA_Scopus/WOS | en_US |
dc.description.fundingSource | RGC | en_US |
dc.description.fundingSource | Others | en_US |
dc.description.fundingText | National Natural Science Foundation of China (NSFC); Research Institute for Land and Space (RILS) at The Hong Kong Polytechnic University | 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 | |
---|---|---|---|---|
smartcities-06-00070-v2.pdf | 11.92 MB | Adobe PDF | View/Open |
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