Geomatics and Environmental Engineering, vol. 20, no. 2

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Vol. 20 No. 2 (2026): Geomatics and Environmental Engineering

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Submitted
Nov 17, 2024
Accepted
Nov 10, 2025
Published
Jan 21, 2026
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This work is licensed under a Creative Commons Attribution 4.0 International License.

Potential Carbon Emission Savings from Children’s School Commuting in Urban Areas Based on Smart Mobility Tracking

https://doi.org/10.7494/geom.2026.20.2.5
Rufia Andisetyana Putri
Universitas Diponegoro, Doctoral Program of Architecture and Urbanism, Semarang, Indonesia; Universitas Sebelas Maret, Faculty of Engineering, Urban and Regional Planning Program, Center for Regional Information and Development (PIPW), Surakarta, Indonesia
https://orcid.org/0000-0002-5984-1379
Imam Buchori
Universitas Diponegoro, Faculty of Engineering, Department of Urban and Regional Planning, Semarang, Indonesia
https://orcid.org/0000-0001-7306-2956
Anang Wahyu Sejati
Universitas Diponegoro, Faculty of Engineering, Department of Urban and Regional Planning, Semarang, Indonesia
https://orcid.org/0000-0001-5554-0002
Apin Fitri Amalina
Universitas Sebelas Maret, Faculty of Engineering, Urban and Regional Planning Program, Surakarta, Indonesia

Corresponding Author(s) : Rufia Andisetyana Putri

rufia.putri@staff.uns.ac.id

Geomatics and Environmental Engineering, Vol. 20 No. 2 (2026): Geomatics and Environmental Engineering

Abstract

The use of emissions-intensive motorized transport for school commuting, particularly in urban areas, is highly concerning. Restricting the use of motorized transport and encouraging independent school mobility provides an opening for emissions reduction. Previous research has demonstrated that independent mobility is a function of various sociodemographics. The present study aims to examine the potential for reducing carbon emissions from children’s school commute through the utilization of smart mobility tracking, with travel distance and sociodemographics as determinants for primary school children in Semarang City, Indonesia. The children’s mobility patterns for school commutes were recorded with portable GPS tracking devices. The data were processed using GIS to analyze routes and distances. Sociodemographic characteristics related to independent mobility were examined using logistic regression. The study estimated the actual and potential carbon emissions resulting from school commute. Travel distance, along with some of the sociodemographic traits, was analyzed to identify children’s potential for independent mobility and the resulting emissions reduction. The findings indicate that increasing the chance of children’s independent mobility could considerably contribute to lowering carbon emissions related to school commutes.

Keywords

carbon emission children independent mobility GPS school commute smart mobility tracking sociodemographic characteristics
Putri, R. A., Buchori, I., Sejati, A. W., & Amalina, A. F. (2026). Potential Carbon Emission Savings from Children’s School Commuting in Urban Areas Based on Smart Mobility Tracking. Geomatics and Environmental Engineering, 20(2), 5–26. https://doi.org/10.7494/geom.2026.20.2.5
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References
  1. Chillón P., Mandic S.: Active transport to and from school, [in:] Nieuwenhuijsen M.J., Khreis H. (eds.), Advances in Transportation and Health: Tools, Technologies, Policies, and Developments. Elsevier, 2020, pp. 267–290. https://doi.org/10.1016/B978-0-12-819136-1.00012-7.
  2. Kyttä M.: The extent of children’s independent mobility and the number of actualized affordances as criteria for child-friendly environments. Journal of Environmental Psychology, vol. 24(2), 2004, pp. 179–198. https://doi.org/10.1016/S0272-4944(03)00073-2.
  3. Berg P., Rinne T., Hakala P., Pesola A.J.: Children’s independent mobility and activity spaces during COVID-19 in Finland. Children’s Geographies, vol. 21(4), pp. 624–638. https://doi.org/10.1080/14733285.2022.2118028.
  4. Bagheri H., Zarghami E.: Assessing the effects of children’s independent mobility range and time. Journal of Transport & Health, vol. 19, 2020, 100960. https://doi.org/10.1016/j.jth.2020.100960.
  5. Putri R.A., Rini E.F., Imtiyas S., Sinniah G.K., Ghani N.A.: The factors influencing the modal choice for home-to-school trips based on neighborhood unit typology towards Surakarta as a child-friendly city. IOP Conference Series: Earth and Environmental Science, vol. 447, 2020, 012071. https://doi.org/10.1088/1755-1315/447/1/012071.
  6. Rini E.F., Putri R.A., Mulyanto, Handayani N.: The ecological impacts of primary education facilities based on a child-friendly neighborhood unit criteria in Surakarta. IOP Conference Series: Earth and Environmental Science, vol. 129, 2018, 012022. https://doi.org/10.1088/1755-1315/129/1/012022.
  7. Siahaan P.A., Tjahjono T., Guritnaningsih: Understanding the behavior of elementary student’s school travel mode choice based on active transportation. AIP Conference Proceedings, vol. 2227(1), 2020, 030002. https://doi.org/10.1063/5.0001066.
  8. De Vos J.: Towards truly sustainable mobility. Transportation Research Interdisciplinary Perspectives, vol. 24, 2024, 101039. https://doi.org/10.1016/j.trip.2024.101039.
  9. Nakanishi H.: Children’s travel behavior and implication to transport energy consumption of household: A case study of three Australian cities, [in:] Zhang J. (ed.), Transport and Energy Research, Elsevier, 2020, pp. 129–154. https://doi.org/10.1016/B978-0-12-815965-1.00006-5.
  10. Sharmin S., Kamruzzaman M., Haque M.: The impact of topological properties of built environment on children independent mobility: A comparative study between discretionary vs. nondiscretionary trips in Dhaka. Journal of Transport Geography, vol. 83, 2020, 102660. https://doi.org/10.1016/j.jtrangeo.2020.102660.
  11. Brand C., Dons E., Anaya-Boig E., Avila-Palencia I., Clark A., de Nazelle A., Gascon M., Gaupp-Berghausen M., Gerike R., Gotschi T., Iacorossi F., Kahlmeier S., Laeremans M., Nieuwenhuijsen M.J., Orjuela J.P., Racioppi F., Raser E., Rojas-Rueda D., Standaert A., ..., Int Panis L.: The climate change mitigation effects of daily active travel in cities. Transportation Research Part D: Transport and Environment, vol. 93, 2021, 102764. https://doi.org/10.1016/j.trd.2021.102764.
  12. Neves A., Brand C.: Assessing the potential for carbon emissions savings from replacing short car trips with walking and cycling using a mixed GPS-travel diary approach. Transportation Research Part A: Policy and Practice, vol. 123, 2019, pp. 130–146. https://doi.org/10.1016/j.tra.2018.08.022.
  13. Gilbert H., Whitzman C., Pieters J. (Hans), Allan A.: Children and sustainable mobility: small feet making smaller carbon footprints. Australian Planner, vol. 54(4), 2017, pp. 234–241. https://doi.org/10.1080/07293682.2018.1480500.
  14. Love P., Villanueva K., Whitzman C.: Children’s independent mobility: The role of school-based social capital. Children’s Geographies, vol. 18(3), 2020, pp. 253–268. https://doi.org/10.1080/14733285.2019.1634244.
  15. Mammen G., Faulkner G., Buliung R., Lay J.: Understanding the drive to escort: A cross-sectional analysis examining parental attitudes towards children’s school travel and independent mobility. BMC Public Health, vol. 12(1), 2012, 862. https://doi.org/10.1186/1471-2458-12-862.
  16. Putri D.W., Widyawati, Susiloningtyas D.: Spatial behavior of children’s independent mobility in Depok, West Java, Indonesia. IOP Conference Series: Earth and Environmental Science, vol. 338, 2019, 012009. https://doi.org/10.1088/1755-1315/338/1/012009.
  17. Riazi N., Wunderlich K.B., Yun L., Paterson D., Faulkner G.: Social-ecological correlates of children’s independent mobility: A systematic review. International Journal of Environmental Research and Public Health, vol. 19(3), 2022, 1604. https://doi.org/10.3390/ijerph19031604.
  18. Soltani A., Javadpoor M., Shams F., Mehdizadeh M.: Street network morphology and active mobility to school: Applying space syntax methodology in Shiraz, Iran. Journal of Transport & Health, vol. 27, 2022, 101493. https://doi.org/10.1016/j.jth.2022.101493.
  19. Wales M., Mårtensson F., Jansson M.: ‘You can be outside a lot’: Independent mobility and agency among children in a suburban community in Sweden. Children’s Geographies, vol. 19(2), 2021, pp. 184–196. https://doi.org/10.1080/14733285.2020.1773401.
  20. De Chiara J., Panero J., Zelnik M.: Time-Saver Standards for Housing and Residential Development (2nd ed.). McGraw-Hill, New York 1984.
  21. Ayllón E., Moyano N., Lozano A., Cava M.-J.: Parents’ willingness and perception of children’s autonomy as predictors of greater independent mobility to school. International Journal of Environmental Research and Public Health, vol. 16(5), 2019, 732. https://doi.org/10.3390/ijerph16050732.
  22. Tyagi M., Raheja G.: Children’s independent mobility licence and its association with the built and social environment: A study across neighbourhood typologies in Kolkata. Children’s Geographies, vol. 19(6), 2021, pp. 717–734. https://doi.org/10.1080/14733285.2021.1891526.
  23. Hamad S.S., Moustafa Y.M., Khalil M.H.: Children’s independent mobility: A study of middle childhood home ranges in two different socio-physical settings in El-Shorouk City, Egypt. Environment and Ecology Research, vol. 10(2), 2022, pp. 146–160. https://doi.org/10.13189/eer.2022.100204.
  24. Kyttä M., Hirvonen J., Rudner J., Pirjola I., Laatikainen T.: The last free-range children? Children’s independent mobility in Finland in the 1990s and 2010s. Journal of Transport Geography, vol. 47, 2015, pp. 1–12. https://doi.org/10.1016/j.jtrangeo.2015.07.004.
  25. Bhosale J., Duncan S., Schofield G.: Intergenerational change in children’s independent mobility and active transport in New Zealand children and parents. Journal of Transport & Health, vol. 7 (part B), 2017, pp. 247–255. https://doi.org/10.1016/j.jth.2017.09.004.
  26. Crawford S.B., Bennetts S.K., Hackworth N.J., Green J., Graesser H., Cooklin A.R., Matthews J., Strazdins L., Zubrick S.R., D’Esposito F., Nicholson J.M.: Worries, ‘weirdos’, neighborhoods and knowing people: A qualitative study with children and parents regarding children’s independent mobility. Health & Place, vol. 45, 2017, pp. 131–139. https://doi.org/10.1016/j.healthplace.2017.03.005.
  27. Fyhri A., Hjorthol R.: Children’s independent mobility to school, friends and leisure activities. Journal of Transport Geography, vol. 17(5), 2009, pp. 377–384. https://doi.org/10.1016/j.jtrangeo.2008.10.010.
  28. Buliung R.N., Larsen K., Faulkner G., Ross T.: Children’s independent mobility in the City of Toronto, Canada. Travel Behaviour and Society, vol. 9, 2017, pp. 58–69. https://doi.org/10.1016/j.tbs.2017.06.001.
  29. Zarghami E., Bagheri H.: Assessment of children’s independent mobility variables by mixed method. Transportation Research Interdisciplinary Perspectives, vol. 8, 2020, 100239. https://doi.org/10.1016/j.trip.2020.100239.
  30. Bhonsle K., Adane V.: Assessing the play provisions for children in urban neighborhoods of India: Case study Nagpur, Maharashtra. Buildings, vol. 6(3), 2016, 31. https://doi.org/10.3390/buildings6030031.
  31. Veitch J., Carver A., Salmon J., Abbott G., Ball K., Crawford D., Cleland V., Timperio A.: What predicts children’s active transport and independent mobility in disadvantaged neighborhoods? Health & Place, vol. 44, 2017, pp. 103–109. https://doi.org/10.1016/j.healthplace.2017.02.003.
  32. Suliyanto: Metode Penelitian Bisnis: Untuk Skripsi, Tesis, Disertasi [Business Research Methods: For Undergraduate Theses, Master’s Theses, and Dissertations]. ANDI, Yogyakarta 2018.
  33. Ikeda E., Hinckson E., Witten K., Smith M.: Assessment of direct and indirect associations between children active school travel and environmental, household and child factors using structural equation modelling. International Journal of Behavioral Nutrition and Physical Activity, vol. 16(1), 2019, 32. https://doi.org/10.1186/s12966-019-0794-5.
  34. Mizen A., Fry R., Rodgers S.: GIS-modelled built-environment exposures reflecting daily mobility for applications in child health research. International Journal of Health Geographics, vol. 19(1), 2020, 12. https://doi.org/10.1186/s12942-020-00208-2.
  35. Dai Z., Zhang W., Fu C., Zhao F.: Epidemiological-survey-based study for understanding daily mobility of elderly in Southeast China. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. X-3/W2(3), 2022, pp. 1–7. https://doi.org/10.5194/isprs-annals-X-3-W2-2022-1-2022.
  36. de Kadt J., van Heerden A., Richter L., Alvanides S.: Correlates of children’s travel to school in Johannesburg-Soweto – Evidence from the Birth to Twenty Plus (Bt20+) study, South Africa. International Journal of Educational Development, vol. 68, 2019, pp. 56–67. https://doi.org/10.1016/j.ijedudev.2019.04.007.
  37. Minister of Environment of the Republic of Indonesia: Peraturan Menteri Negara Lingkungan Hidup Nomor 12 Tahun 2010 tentang Pelaksanaan Pengendalian Pencemaran Udara di Daerah [Regulation of the Minister of Environment of the Republic of Indonesia No. 12 of 2010 regarding the implementation of Regional Air Pollution Control].
  38. Intergovernmental Panel on Climate Change (IPCC): 2006 IPCC Guidelines for National Greenhouse Gas Inventories. IGES, Hayama, Japan 2008. https://www.ipcc-nggip.iges.or.jp/public/2006gl/.
  39. Brighton Hill Community School: Cycle to School Policy 2023. http://www.brightonhill.hants.sch.uk/assets/BrightonHillSchoolJourneyMap.pdf [access: September 22, 2025].
  40. City of Phoenix: Phoenix-Safest Route to School Walking Plan Guidelines. https://www.phoenix.gov/content/dam/phoenix/streetssite/documents/Safest%20Route.pdf [access: September 22, 2025].
  41. U.S. Department of Health and Human Services: Kidswalk-to-School: A Guide to Promote Walking to School. https://stacks.cdc.gov/view/cdc/11316/cdc_11316_DS1.pdf [access: September 22, 2025].
  42. Wilson S., Murcia K., Cross E., Lowe G.: Digital technologies and the early childhood sector: are we fostering digital capabilities and agency in young children? The Australian Educational Researcher, vol. 51(4), 2024, pp. 1425–1443. https://doi.org/10.1007/s13384-023-00647-3.
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