Application of the local colocation quotient method in jobs-housing balance measurement based on mobile phone data: A case study of Nanjing City

IF 7.1 1区地球科学 Q1 ENVIRONMENTAL STUDIES

Computers Environment and Urban Systems Pub Date : 2024-02-08 DOI:10.1016/j.compenvurbsys.2024.102079

Hao Liu , Mei-Po Kwan , Mingxing Hu , Hui Wang , Jiemin Zheng

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引用次数: 0

Abstract

The issue of jobs-housing balance concerns the sustainable development of cities and the well-being of residents. Conventional measurement approaches, however, often fall short due to the zoning problem (as a subproblem of the modifiable areal unit problem), leading to inconsistent and inaccurate results depending on the spatial partitioning scheme applied. This paper discusses the application and advantages of the local colocation quotient method in jobs-housing balance measurement. A case study of Nanjing, China, is selected, and mobile location data are used to obtain the jobs and housing locations of workers. Then, the adjusted jobs-workers ratio and the local colocation quotient values that reflect the degree of jobs-housing balance are calculated and compared by category. The results show that on the one hand, due to the zoning effect, when points are aggregated into spatial units, some points with different spatial characteristics are masked by the dominant value of the units; on the other hand, the local colocation quotient method can solve the zoning problem and obtain more fine-scale and accurate results, thus providing a new analytical tool and perspective for this field.

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基于手机数据的本地聚居商数法在职住平衡测量中的应用：南京市案例研究

就业与住房平衡问题关系到城市的可持续发展和居民的福祉。然而，由于分区问题（作为可修改面积单位问题的一个子问题），传统的测量方法往往存在不足，导致测量结果不一致、不准确，这取决于所采用的空间分区方案。本文讨论了本地聚类商数法在职住平衡测算中的应用和优势。本文选取中国南京作为案例，利用移动定位数据获取职工的工作和住房位置。然后，计算出反映职住平衡程度的调整后职住比和本地聚居商数值，并进行分类比较。结果表明，一方面，由于分区效应，在将点聚合成空间单元时，一些具有不同空间特征的点会被单元的主导值所掩盖；另一方面，局部同地商数法可以解决分区问题，得到更精细、更准确的结果，从而为这一领域提供了新的分析工具和视角。

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来源期刊

Computers Environment and Urban Systems Multiple-

CiteScore

13.30

自引率

7.40%

发文量

111

审稿时长

32 days

期刊介绍： Computers, Environment and Urban Systemsis an interdisciplinary journal publishing cutting-edge and innovative computer-based research on environmental and urban systems, that privileges the geospatial perspective. The journal welcomes original high quality scholarship of a theoretical, applied or technological nature, and provides a stimulating presentation of perspectives, research developments, overviews of important new technologies and uses of major computational, information-based, and visualization innovations. Applied and theoretical contributions demonstrate the scope of computer-based analysis fostering a better understanding of environmental and urban systems, their spatial scope and their dynamics.