Abstract

Limited studies focus on educational equity from the spatial accessibility perspective. This study combines survey data and big data and proposes a multi-mode Huff two-step floating catchment area (MMH2SFCA) method to calculate accessibility while considering multiple travel modes and school attractiveness. This method can also calculate education quality by extending the accessibility in each community. Results show that our proposed method can reliably identify the accessibility differences of schools across communities. The case study indicates an inequitable distribution of educational accessibility and quality. The communities with high accessibility are concentrated in the urban center and exurban zones surrounding schools, whereas high-quality areas are mainly concentrated in the urban center. Correlation analysis suggests that the educational quality of communities with high accessibility is not always high. The findings of this study can provide improvement for accessibility measurements and help explore a new research perspective for educational equity research.

Highlights

  • Education is a basic human right that is important for peace, tolerance, human fulfilment and sustainable development [1]

  • Huff 2SFCA (H2SFCA)-Car are concentrated in the districts located along the edge of the metropolitan development zone (MDZ), whereas accessibility map obtained by the H2SFCA-Walk, H2SFCA-Bike, H2SFCA-public transport (PT), H2SFCAMM2SFCA

  • This paper proposes an accessibility method called MMH2SFCA, which comprehensively considers the attractiveness of schools and multiple travel modes

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Summary

Quality of High Schools

This study measures the attractiveness of schools based on their educational quality because students and parents are generally attracted by schools with higher education quality. The education quality of government-selected model schools is higher than that of. The education quality of government-selected model schools is higher than that of ordinary schools [74]. The ratio of teachers to students reflects the quality of education [75]. The number of visits in Baidu Baike (similar to Wikipedia) is taken as an indicator to reflect the popularity of a school. The quality of each school Cj is the weighted average of the normalized indicators (Equation (3)), which is between 0 and 1. Where q j,u is the value of the u-th indicator of the j-th school

Multiple Travel Modes
Educational Accessibility in Communities
Educational Quality in Communities
Study Area
Travel Times for Different Travel Modes
Gini Coefficient Comparison
Spatial Distribution and Descriptive Statistics
Discussion on the Comparison of Methods
Comparison with the H2SFCA Method
Comparison with the MM2SFCA Method
Advantages of Our Proposed Method
Implications and Recommendations
Limitations
Conclusions
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