Multimodal spatial accessibility to the primary and secondary education network: case study Bucharest-Ilfov Region
Abstract: Education is, or at least should be, a daily activity for the entire youth population. Given the clear role of education in human capital construction, the study of spatial accessibility to educational facilities is an important research subject. The present paper examines the multimodal spatial accessibility to the primary and secondary school network in Bucharest-Ilfov region, one of the most demographically and residentially dynamic regions of the country. By using 1 km2 population grid data and geocoded locations of school units, a travel time isochrone analysis has been computed for three modes of transportation: walking, private car and public transport, by using GIS analysis. All travel times have been calculated for five threshold intervals: 5, 10, 15, 20, and 25 minutes and linked to the distribution of the school-age population. Results show that the school network broadly follows the spatial pattern of the youth population and that most children can reach the closest school within 10 minutes by all three transport modes. However, pronounced intra-metropolitan inequalities exist. Bucharest displays a compact configuration, with the vast majority of pupils located within a 5- to 10-minute travel time. At the same time, Ilfov County shows a more dispersed pattern, with a considerable number of school units requiring over 20 minutes to reach, especially when relying on public transport or walking. These findings highlight how rapid suburbanisation and uneven transport provision generate spatial disparities in effective access to compulsory education units, and underline the need to integrate school location planning into transport and housing policies.
Full text .pdf
Permalink (doi) http://dx.doi.org/10.5719/hgeo.2025.192.2
Angelo-Andi Petre, Alexandra Cioclu*
Faculty of Geography, University of Bucharest, Romania
* Corresponding author
Email: cioclu.alexandra@s.unibuc.ro
References
Afoakwah, C., & Koomson, I. (2021). How does school travel time impact children’s learning outcomes in a developing country? Review of Economics of the Household, 19, 1077–1097.
Bimpou, K., & Ferguson, N. S. (2020). Dynamic accessibility: Incorporating day-to-day travel time reliability into accessibility measurement. Journal of Transport Geography, 89, 102892.
Breton, T. R. (2013). The role of education in economic growth: Theory, history and current returns. Educational Research, 55, 121–138.
Camilleri, M. A., & Camilleri, A. (2016). Education and social cohesion for economic growth. International Journal of Leadership in Education, 19, 617–631.
Chemulwo, M. J., & Ali, M. F. (2019). Equitable access to education and development in a knowledgeable society as advocated by UNESCO. Educational Research and Reviews, 14, 200–205.
Cheng, J. (2025). The Impact of Commuting Time on Students’ Academic Performance: Evidence From Nearby Enrollment Policy in China. Journal of Regional Science, jors.70015.
Cioclu, A., Dumitrache, L., Nae, M., & Mareci, A. (2024). Potential Spatial Accessibility to Cardiovascular Hospitals in Romania. Systems, 12, 160.
Constantin, D. L. (2012). Responses to global trends affecting East‐European regions: The case of the Bucharest–Ilfov region in Romania. Regional Science Policy & Practice, 4, 47–64.
Clean Cities (2025). Streets for Kids, Cities for All. Ranking Europe’s cities on child-friendly urban mobility (available at: https://cleancitiescampaign.org/wp-content/uploads/2025/05/Report-Streets-For-Kids-Cities-For-All.pdf).
Dessing, D., De Vries, S. I., Graham, J. M., & Pierik, F. H. (2014). Active transport between home and school assessed with GPS: A cross-sectional study among Dutch elementary school children. BMC Public Health, 14, 227.
Ding, P., & Feng, S. (2022). How School Travel Affects Children’s Psychological Well-Being and Academic Achievement in China. International Journal of Environmental Research and Public Health, 19, 13881.
Ding, P., Li, Y., Feng, S., & Pojani, D. (2023). Do long school commutes undermine teenagers’ well-being? Evidence from a nation-wide survey in China. Journal of Transport & Health, 30, 101605.
Fast, I. (2020). Unequal traveling: How school district and family characteristics shape the duration of students’ commute to school. Travel Behaviour and Society, 20, 165–173.
Fiala, N., Garcia-Hernandez, A., Narula, K., & Prakash, N. (2025). Wheels of Change: Transforming Girls’ Lives with Bicycles. The Economic Journal, ueaf122.
Giménez-Nadal, José Ignacio; Molina, José Alberto; Velilla, Jorge (2022) : School commuting behaviors: A time-use exploration, GLO Discussion Paper, 1194, Global Labor Organization (GLO). https://www.econstor.eu/bitstream/10419/266198/1/GLO-DP-1194.pdf.
Guan, H., Xue, J., Zhang, Y., Chang, F., & Liu, W. (2025). Examining the relationship between commuting time, academic achievement, and mental health in rural China: A cross-sectional analysis. BMC Public Health, 25, 1616.
Hopson, L. M., Lidbe, A. D., Jackson, M. S., Adanu, E., Li, X., Penmetsa, P., … Abura-Meerdink, G. (2024). Transportation to school and academic outcomes: A systematic review. Educational Review, 76, 648–668.
Hyndych, A., El-Abassi, R., & Mader, E. C. (2025). The Role of Sleep and the Effects of Sleep Loss on Cognitive, Affective, and Behavioral Processes. Cureus. https://doi.org/10.7759/cureus.84232
Janssen, I., & LeBlanc, A. G. (2010). Systematic review of the health benefits of physical activity and fitness in school-aged children and youth. International Journal of Behavioral Nutrition and Physical Activity, 7, 40.
Kobus, M. B. W., Van Ommeren, J. N., & Rietveld, P. (2015). Student commute time, university presence and academic achievement. Regional Science and Urban Economics, 52, 129–140.
Leoni, S. (2025). A Historical Review of the Role of Education: From Human Capital to Human Capabilities. Review of Political Economy, 37, 227–244.
Local Burden of Disease Educational Attainment Collaborators. (2020). Mapping disparities in education across low- and middle-income countries. Nature, 577, 235–238.
Lopez, C., Leclercq, L., Krishnakumari, P., Chiabaut, N., & Van Lint, H. (2017). Revealing the day-to-day regularity of urban congestion patterns with 3D speed maps. Scientific Reports, 7, 14029.
McCowan, T. (2011). Human rights, capabilities and the normative basis of ‘Education for All’. Theory and Research in Education, 9, 283–298.
Miller, E. (2020), “Measuring Accessibility: Methods and Issues”, International Transport Forum Discussion Papers, 2020/25, OECD Publishing.
Ministry of Education (2015). Strategia privind reducerea părăsirii timpurii a școlii în România. https://www.edu.ro/sites/default/files/_fi%C8%99iere/Invatamant-Preuniversitar/2015/Strategie-PTS/Strategia-PTS-2015.pdf.
Mora-Garcia, R.-T. (2018). A comparative analysis of manhattan, euclidean and network distances. Why are network distances more useful to urban professionals? Presented at the 18th International Multidisciplinary Scientific GeoConference SGEM2018.
Nae, M., & Dumitrache, L. (2019). Post-socialist Urban Changes and Role Strain in Assessing the Quality of Life: The Case of Bucharest, Romania. In B. R. K. Sinha (Ed.), Multidimensional Approach to Quality of Life Issues (pp. 373–395). Springer Singapore.
OECD. (2024). Education at a Glance 2024 Sources, Methodologies and Technical Notes. OECD Publishing.
Owusu Achiaw, A., Bonney, E. N., Adesina, K. A., Osho, O., Arthur, G., & Osho, L. O. (2025). Language of assessment matters: A study of Ghanaian primary school students’ scientific reasoning skills. Journal for Multicultural Education, 1–16.
Patel, H. H., Messiah, S. E., Hansen, E., & D’Agostino, E. M. (2021). The relationship between transportation vulnerability, school attendance, and free transportation to an afterschool program for youth. Transportation, 48, 2315–2333.
Pegado, A., Roberto, M. S., Luz, R., Pereira, C., & Alvarez, M.-J. (2025). Portuguese College Students’ Perceptions of Barriers to Healthy Sleep and Strategies to Overcome Them: A Mix Method Study. SAGE Open, 15, 21582440251355368.
Petre, A. A., Dumitrache, L., Mareci, A., & Cioclu, A. (2025). The Urban–Rural Education Divide: A GIS-Based Assessment of the Spatial Accessibility of High Schools in Romania. ISPRS International Journal of Geo-Information, 14, 183.
Petre, F.-B., Teodorescu, C., & Cioclu, A. (2024). School Dropout in Satellite Towns around Bucharest, Romania. Social Sciences, 13, 285.
Popescu, A.-F., Matei, E., Bădiceanu, A., Balint, A. I., Râpă, M., Coman, G., & Predescu, C. (2025). An Optimistic Vision for Public Transport in Bucharest City After the Bus Fleet Upgrades. Environments, 12, 242.
Popescu, R. (2022). The culture of parking on the sidewalks. Cities, 131, 103888.
Preda, M., Vijulie, I., Lequeux-Dincă, A.-I., Jurchescu, M., Mareci, A., & Preda, A. (2022). How Do the New Residential Areas in Bucharest Satisfy Population Demands, and Where Do They Fall Short? Land, 11, 855.
Rekha, R. S., Radhakrishnan, N., & Mathew, S. (2020). Spatial accessibility analysis of schools using geospatial techniques. Spatial Information Research, 28, 699–708.
Rodriguez-Segura, D., & Kim, B. H. (2021). The last mile in school access: Mapping education deserts in developing countries. Development Engineering, 6, 100064.
Romanian Parliament (2023). Law 198/2023 on Pre-University Education; Modified and Updated by the Government Emergency Ordinance 156/2024; Monitorul Oficial 613/2023; Monitorul Oficial Publishing House.
Romanian Parliament (2023). Law 199/2023 on University Education (Revised); Monitorul Oficial 614/2023; Monitorul Oficial Publishing House.
Romania Parliament (2025). Law no. 141/2025 on certain fiscal and budgetary measures. Monitorul Oficial 699/2025; Monitorul Oficial Publishing House.
Sauerwein, M. N., & Rees, G. (2020). How children spend their out-of-school time – A comparative view across 14 countries. Children and Youth Services Review, 112, 104935.
Scheiner, J., Huber, O., & Lohmüller, S. (2019). Children’s independent travel to and from primary school: Evidence from a suburban town in Germany. Transportation Research Part A: Policy and Practice, 120, 116–131.
Schlossberg, M., Greene, J., Phillips, P. P., Johnson, B., & Parker, B. (2006). School Trips: Effects of Urban Form and Distance on Travel Mode. Journal of the American Planning Association, 72, 337–346.
Spada, A., Fiore, M., & Galati, A. (2024). The Impact of Education and Culture on Poverty Reduction: Evidence from Panel Data of European Countries. Social Indicators Research, 175, 927–940.
Stein, M. L., & Grigg, J. A. (2019). Missing Bus, Missing School: Establishing the Relationship Between Public Transit Use and Student Absenteeism. American Educational Research Journal, 56, 1834–1860.
Stokenberga, A., Saïsset, E., Kerzhner, T., & Espinet Alegre, X. (2025). Connecting through public transport: Accessibility to health and education in major African cities. Area Development and Policy, 10, 210–227.
Suditu, B. (2009). Urban sprawl and residential mobilities in the bucharest area – reconfiguration of a new residential geography. Human Geographies – Journal of Studies and Reseach in Human Geography, 3(2), 79-93.
UK Department of Education (2019). Home to school travel and transportation for children of compulsory school age. https://consult.education.gov.uk/home-to-school-transport-and-admissions-team/home-to-school-travel-and-transport-statutory guid/supporting_documents/Draft%20statutory%20guidance%20%20Home%20to%20school%20travel%20and%20transp20for%20children%20of%20compulsory%20school%20age.pdf).
Van Ristell, J. A., Quddus, M. A., Enoch, M. P., Wang, C., & Hardy, P. (2015). Quantifying the impacts of subsidy policies on home-to-school pupil travel by bus in England. Transportation, 42, 45–69.
Van Stralen, M. M., Yıldırım, M., Wulp, A., Te Velde, S. J., Verloigne, M., Doessegger, A., … Chinapaw, M. J. M. (2014). Measured sedentary time and physical activity during the school day of European 10- to 12-year-old children: The ENERGY project. Journal of Science and Medicine in Sport, 17, 201–206.
Williams, S., & Wang, F. (2014). Disparities in accessibility of public high schools, in metropolitan Baton Rouge, Louisiana 1990–2010. Urban Geography, 35, 1066–1083.
Wojtyła-Buciora, P., Bołdowski, T., Wojtyła, C., Żukiewicz-Sobczak, W., Juszczak, K., Łabędzka-Gardy, M., Wojtyła, A., & Krauss, H. (2017). An all-Poland survey of physical activity and sedentary lifestyles for middle school, high school and university students. Journal of Health Inequalities, 1, 70–77.
Xu, L., Liu, Y., Shen, J., Tan, J., & Hutter, A. (2025). Evaluation of commercial space accessibility in tourist town: A case research of Maotai Town in China. Frontiers of Architectural Research, 14, 965–982.
Xu, Y., Song, W., & Liu, C. (2018). Social-Spatial Accessibility to Urban Educational Resources under the School District System: A Case Study of Public Primary Schools in Nanjing, China. Sustainability, 10, 2305.
Zhang, R., Yao, E., & Liu, Z. (2017). School travel mode choice in Beijing, China. Journal of Transport Geography, 62, 98–110.
Zhang, X., Lu, H., & Holt, J. B. (2011). Modeling spatial accessibility to parks: A national study. International Journal of Health Geographics, 10, 31.
This post has already been read 368 times!