Decoding Urban Dynamics: Contextual Insights from Human Meta-Mobility Patterns

IF 2.3 4区 社会学 Q1 SOCIAL SCIENCES, INTERDISCIPLINARY Systems Pub Date : 2024-08-21 DOI:10.3390/systems12080313
Seokjoon Oh, Seungyoung Joo, Soohwan Kim, Minkyoung Kim
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Abstract

Research on capturing human mobility patterns for efficient and sustainable urban planning has been widely conducted. However, studies that unveil spatial context beyond macro-level mobility patterns are relatively scarce. This study aims to analyze the spatiotemporal human meta-mobility patterns with rich context using POI data in Seoul from comprehensive perspectives. As a result, the floating population of Seoul exhibits regular and irregular cyclical mobility patterns on weekdays and weekends, respectively, stemming from the periodicity of the dominant POIs. Additionally, graph construction based on mobility similarity and their regional clustering show clusters vary by POIs but are generally divided into peripheral and central regions of Seoul. This indicates that socioeconomic factors cannot be ignored when understanding human mobility patterns. This helps to provide scientific evidence to support policy recommendations towards greenways and sustainable urban mobility systems, such as quantitative disparity of greenways, qualitative issues of greenways in the central areas, and inequality in cultural consumption. Addressing key considerations through targeted policies could significantly improve the overall quality of life for urban residents. We expect this study to lay the groundwork for future research that aims to understand realistic human mobility patterns with a rich context.
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解码城市动态:从人类元移动模式中洞察内涵
为实现高效和可持续的城市规划而捕捉人类流动模式的研究已广泛开展。然而,除宏观层面的流动模式外,揭示空间背景的研究相对较少。本研究旨在利用首尔的 POI 数据,从综合角度分析具有丰富背景的时空人类元流动模式。结果发现,首尔的流动人口在工作日和周末分别表现出有规律和无规律的周期性流动模式,这源于主要 POI 的周期性。此外,根据流动相似性及其区域聚类构建的图表显示,聚类因目的地而异,但总体上分为首尔外围和中心区域。这表明,在理解人类流动模式时,社会经济因素不容忽视。这有助于为绿道和可持续城市交通系统的政策建议提供科学依据,如绿道的数量差异、中心区绿道的质量问题以及文化消费的不平等。通过有针对性的政策来解决关键问题,可以大大提高城市居民的整体生活质量。我们期望这项研究能为今后的研究奠定基础,从而了解具有丰富背景的现实人类流动模式。
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来源期刊
Systems
Systems Decision Sciences-Information Systems and Management
CiteScore
2.80
自引率
15.80%
发文量
204
审稿时长
11 weeks
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