Study of the School–Residence Spatial Relationship and the Characteristics of Travel-to-School Distance in Shenyang
Dawei Mei,
Chunliang Xiu,
Xinghua Feng and
Ye Wei
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Dawei Mei: School of Geographical Sciences, Northeast Normal University, Changchun 130024, Jilin, China
Chunliang Xiu: College of Jang Ho Architecture, Northeastern University, Shenyang 110169, Liaoning, China
Xinghua Feng: School of Geographical Sciences, Northeast Normal University, Changchun 130024, Jilin, China
Ye Wei: School of Geographical Sciences, Northeast Normal University, Changchun 130024, Jilin, China
Sustainability, 2019, vol. 11, issue 16, 1-15
Abstract:
The school–residence spatial relationship is a key factor in understanding urban spatial structure and travel-to-school behavior of students. Analyzing the change law and the spatial characteristics of travel-to-school distance can provide a basis for improved accessibility of urban educational facilities and enable enrolment of students from the neighborhood. Based on one complete month of mobile phone signaling data for May 2018, the changes in student density with the travel-to-school distance was analyzed using MATLAB and Mann–Kendall Trend Test, and the pattern and the spatial structure of travel-to-school were explored. The results revealed that: (1) With increase in travel-to-school distance, the student density showed a decrease in truncated power law distribution, and it is concentrated within the travel-to-school distance of 5.0 km; (2) According to the sudden change points of the student density growth rate, the threshold distance for travel to kindergartens is 1.30 km, and for primary schools and secondary schools is 1.50 km. The school–residence spatial structure is divided according to the threshold of travel-to-school distance and the scope of attendance; (3) The dominant flow of travel-to-school is generally from urban peripheral and marginal areas to the urban core area, and partly from marginal areas to peripheral areas; (4) The pattern of travel-to-school is polycentric, and the study centers are mainly located in the urban central district north of the Hun River. The urban core area has the strongest attraction of students, while the marginal area has the weakest.
Keywords: Mann–Kendall; school–residence spatial relationship; mobile phone signaling data; travel-to-school distance; Shenyang (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:11:y:2019:i:16:p:4432-:d:258203
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