From Residential Neighborhood to Activity Space: The Effects of Educational Segregation on Crime and Their Moderation by Social Context

Zhang, Yanji; Liang, Cai; Song, Guangwen; Liu, Lin; Zhu, Chunwu

doi:10.1080/24694452.2022.2060793

Cited by 9 publications

(1 citation statement)

References 86 publications

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“…Although racial segregation is the traditional research domain, segregation by income and education has received increasing attention in recent research (Browning et al, 2017). Education can directly reflect people's social status and affect their ability to access job opportunities (Le Roux et al, 2017), and education is highly corelated with a person's income (Zhang et al, 2022).The education status has three classes in this study: low (junior middle school and below), middle (senior middle school), and high (undergraduate and above). Hukou is a household registration system in China.…”

Section: Data Processingmentioning

confidence: 99%

Exploring the influence of individual daily activity patterns on activity-space segregation

Zheng

Chen

et al. 2023

Transactions in Urban Data, Science, and Technology

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Activity-space segregation is a new topic in urban segregation studies. The existing literature did not fully explain its mechanisms. In this study, we tested the hypothesis whether activity-space segregation is influenced by individual daily activity patterns. The dynamic ambient population that individuals interact with was identified with mobile phone big data and the individuals’ experienced segregation at the activity space was measured with travel survey small data. This study compared the differences in individuals’ daily activity patterns by different social-economic groups and examined the influence of the spatiotemporal pattern on the activity-space segregation. It has found that: (1) The degree of segregation in non-mandatory activity spaces during the day is less than that in mandatory activity spaces, and the degree of segregation in residence is the highest. (2) Disadvantaged populations have less leisure time and smaller activities space, and they are subject to greater time and space constraints. Spatiotemporal patterns affect the degree of an individual’s segregation. Those who have less leisure time and shorter travel distances experience higher activity-space segregation. This study has both theoretical and practical significance. The social interaction in non-mandatory activities is very important for decreasing activity-space segregation. It facilitates scientific decision-making for the government.

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Section: Data Processingmentioning

confidence: 99%