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介绍用于衡量可持续性中心性的数据集——以塞尔维亚佩钦奇市为例

Introducing the dataset for measuring centrality for sustainability-A case study of Pecinci municipality, Serbia.

作者信息

Mrđenović Tatjana

机构信息

University of Belgrade - Faculty of Architecture, Republic of Serbia.

出版信息

Data Brief. 2025 May 27;61:111714. doi: 10.1016/j.dib.2025.111714. eCollection 2025 Aug.


DOI:10.1016/j.dib.2025.111714
PMID:40534919
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12173731/
Abstract

The paper presents a novel way of integrating data for sustainable planning of central activities at the spatial planning level. The method is demonstrated through a case study of the Plan of Central Activities for the Municipality of Pecinci, Serbia. The current theories and practices of planning central activities in Serbia primarily rely on functional factors of network flow. However, this approach aims to enhance the current practice of data utilisation for the sustainable development of central activities and integrative central places. This innovative approach considers a broader range of factors, such as economic vitality and social equity, to create a more comprehensive and holistic plan for central activities. By incorporating these additional dimensions into the planning process, the method offers a more sustainable and inclusive framework for future development in of central areas and their networks. It focuses on the morphological aspect of the distribution of centres, specifically their structure of local nodality, innovating qualitative and quantitative measures for their development, presenting statistics that categorise central places into three types: These categories are determined using a novel approach of data integration, which measures centrality as a major property of central places to meet Sustainability Development Goals - SDG and develop indicators for the goal 11 Make Cities and human Settlements Inclusive, Safe, Resilient and Sustainable. This approach allows for a comprehensive understanding of the role that central places play in fostering sustainable development within urban areas. By examining the economic, social, and integrative aspects of central places, we can better assess their impact on the overall well-being of communities. Additionally, by developing specific indicators for SDG 11, we can track progress towards creating inclusive, safe, resilient, and sustainable cities and human settlements. This research is crucial for informing policy decisions and urban planning efforts aimed at promoting sustainable development and improving quality of life for all residents. The data was obtained by using two open access sources: ecadastre, overseen by the Republic Geodetic Authority of Republic of Serbia, and the official cadastral base map, purchased for the purpose of performing this plan. Data gathering was done using online data sources and an official cadastral map. GIS was utilised to integrate alpha-numeric with spatial data at the cadastral lot unit. Alphanumeric values were gathered for each lot within 15 settlements of Municipality of Pecinci. The selection of alphanumeric data used land use criteria provided in ecadastre, specifically focusing on central activities such as industrial production, manufacturing, commercial offices, commerce, restaurants, cafes, cultural, government, and social services. Dataset presented in this article consists of analyzed data as follows: (1) Raw data on concentration in Municipality of Pećinci; (2) Formula for measuring centrality of general (community) and specialized centers, (3) Table 1: Criteria and indicators for defining the type of centrality, (4) Table 2. Type and level of centrality in settlement Asanja (example for economical centre), (5) Fig. 1. Distribution of general (community) and specialized centers in Asanja, (6) Table 3. Type and level of centrality in settlement Obrez (example for integrative centre), (7) Fig. 2. Distribution of general and specialized centers in Obrez, (8) Fi. 3. Assessment map 1 - Data on concentration in the Municipality of Pecinci, (9) Fig. 4. Assessment map 2 - Data on accessibility in the Municipality of Pecinci, (10) Fig. 5. Assessment map 3 - Data on the type of centrality in the Municipality of Pecinci. This paper provides a data framework for assessing centrality in urban areas, which can be applied to other regions facing similar challenges. The findings offer insights to inform policy decisions and planning strategies for promoting sustainable development in municipalities across Serbia and beyond. With the increasing urbanization and expansion of central activities in municipalities, understanding centrality is crucial for ensuring sustainable growth and development. By utilizing the framework presented in this study, policymakers, spatial and urban planners can make informed decisions, to prioritize the efficient allocation of resources and infrastructure to support central activities. This research contributes to the broader conversation on sustainable development and provides practical tools for implementing strategies that foster economic, social, and environmental well-being in territorial development.

摘要

本文提出了一种在空间规划层面整合数据以实现中央活动可持续规划的新方法。该方法通过塞尔维亚佩钦奇市中央活动规划的案例研究进行了演示。塞尔维亚目前规划中央活动的理论和实践主要依赖于网络流的功能因素。然而,这种方法旨在改进当前为中央活动和综合性中心地可持续发展而利用数据的实践。这种创新方法考虑了更广泛的因素,如经济活力和社会公平,以制定更全面、更整体的中央活动规划。通过将这些额外维度纳入规划过程,该方法为中央地区及其网络的未来发展提供了一个更具可持续性和包容性的框架。它关注中心地分布的形态方面,特别是其地方节点结构,创新了其发展的定性和定量措施,给出了将中心地分为三种类型的统计数据:这些类别是使用一种新的数据整合方法确定的,该方法将中心性作为中心地的一个主要属性来衡量,以实现可持续发展目标(SDG),并为目标11“使城市和人类住区具有包容性、安全、韧性和可持续性”制定指标。这种方法有助于全面理解中心地在促进城市地区可持续发展中所起的作用。通过研究中心地的经济、社会和综合方面,我们可以更好地评估它们对社区整体福祉的影响。此外,通过为可持续发展目标11制定具体指标,我们可以跟踪在创建包容性、安全、韧性和可持续的城市和人类住区方面取得的进展。这项研究对于为旨在促进可持续发展和提高所有居民生活质量的政策决策和城市规划努力提供信息至关重要。数据是通过使用两个开放获取来源获得的:由塞尔维亚共和国大地测量局监管的电子地籍图,以及为执行本规划而购买的官方地籍基础地图。数据收集使用了在线数据源和官方地籍图。地理信息系统(GIS)被用于在地籍地块单元层面将字母数字数据与空间数据进行整合。在佩钦奇市的15个定居点内,为每个地块收集了字母数字值。所使用的字母数字数据的选择采用了电子地籍图中提供的土地使用标准,特别关注工业生产、制造业、商业办公室、商业、餐馆、咖啡馆、文化、政府和社会服务等中央活动。本文呈现的数据集由如下分析数据组成:(1)佩钦奇市集中度的原始数据;(2)衡量一般(社区)中心和专业中心中心性的公式;(3)表1:定义中心性类型的标准和指标;(4)表2. 阿桑贾定居点的中心性类型和水平(经济中心示例);(5)图1. 阿桑贾一般(社区)中心和专业中心的分布;(6)表3. 奥布雷兹定居点的中心性类型和水平(综合中心示例);(7)图2. 奥布雷兹一般和专业中心的分布;(8)图3. 评估图1 - 佩钦奇市集中度数据;(9)图4. 评估图2 - 佩钦奇市可达性数据;(10)图5. 评估图3 - 佩钦奇市中心性类型数据。本文提供了一个用于评估城市地区中心性的数据框架,该框架可应用于面临类似挑战的其他地区。研究结果为塞尔维亚及其他地区促进各市可持续发展的政策决策和规划战略提供了参考依据。随着各市城市化进程的加快和中央活动的扩展,理解中心性对于确保可持续增长和发展至关重要。通过利用本研究中提出的框架,政策制定者、空间和城市规划者可以做出明智的决策,优先有效分配资源和基础设施以支持中央活动。这项研究有助于关于可持续发展的更广泛讨论,并为实施促进地域发展中的经济、社会和环境福祉的战略提供实用工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/177e/12173731/e27a8205ba46/gr6.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/177e/12173731/e27a8205ba46/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/177e/12173731/b2c787d80fef/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/177e/12173731/78832928ffa6/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/177e/12173731/6f6104980a95/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/177e/12173731/2a1928420c15/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/177e/12173731/e0bbe23df0d9/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/177e/12173731/e27a8205ba46/gr6.jpg

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