Page 53 - NGTU_paper_withoutVideo

Modern Geomatics Technologies and Applications

non-commuting trips was first calculated and it was found that cyclists on commuting trips inhaled more pollution. In the next
step, a linear regression model was used to identify the environmental parameters affecting bicycle travel. By identifying the
effective parameters for cycling trips at a statistically significant level, the popularity of each street for cycling was calculated.
The proposed routing model offers a route with the most popularity and the least inhaled pollution proportional to the purpose of
the trip. The proposed routing model is expected to increase cycling on urban trips.

References
[1] Bigazzi, A.Y. and Figliozzi, M.A., 2014. Review of urban bicyclists' intake and uptake of traffic-related air
pollution. Transport Reviews, 34(2), pp.221-245.
[2] DATA.GOV.UK. National Public Transport Access Nodes (NaPTAN). Available online:
https://data.gov.uk/dataset/naptan (accessed on 20 February 2015).
[3] De Nazelle, A., Nieuwenhuijsen, M.J., Antó, J.M., Brauer, M., Briggs, D., Braun-Fahrlander, C., Cavill, N., Cooper, A.R.,
Desqueyroux, H., Fruin, S. and Hoek, G., 2011. Improving health through policies that promote active travel: a review of
evidence to support integrated health impact assessment. Environment International, 37(4), pp.766-777.
[4] De Nazelle, A., Seto, E., Donaire-Gonzalez, D., Mendez, M., Matamala, J., Nieuwenhuijsen, M.J. and Jerrett, M., 2013.
Improving estimates of air pollution exposure through ubiquitous sensing technologies. Environmental Pollution, 176,
pp.92-99.
[5] Dunlap, R.E. and Jorgenson, A.K., 2012. Environmental problems. The Wiley‐Blackwell Encyclopedia of Globalization.
[6] Esawey, M.E., 2014. Estimation of annual average daily bicycle traffic with adjustment factors. Transportation Research
Record, 2443(1), pp.106-114.
[7] Forsyth, A. and Oakes, J.M., 2015. Cycling, the built environment, and health: results of a midwestern study. International
Journal of Sustainable Transportation, 9(1), pp.49-58.
[8] Griffin, G.P. and Jiao, J., 2015. Where does bicycling for health happen? Analysing volunteered geographic information
through place and plexus. Journal of Transport & Health, 2(2), pp.238-247.
[9] Health Effects Institute. Panel on the Health Effects of Traffic-Related Air Pollution, 2010. Traffic-related air pollution: a
critical review of the literature on emissions, exposure, and health effects (No. 17). Health Effects Institute.
[10] Li, M.H., Fan, L.C., Mao, B., Yang, J.W., Choi, A.M., Cao, W.J. and Xu, J.F., 2016. Short-term exposure to ambient fine
particulate matter increases hospitalizations and mortality in COPD: a systematic review and meta-analysis. Chest, 149(2),
pp.447-458.
[11] Nadi, S. and Delavar, M.R., 2011. Multi-criteria, personalized route planning using quantifier-guided ordered weighted
averaging operators. International Journal of Applied Earth Observation and Geoinformation, 13(3), pp.322-335.
[12] Pant, P. and Harrison, R.M., 2013. Estimation of the contribution of road traffic emissions to particulate matter
concentrations from field measurements: a review. Atmospheric environment, 77, pp.78-97.
[13] Prins, R.G., Pierik, F., Etman, A., Sterkenburg, R.P., Kamphuis, C.B.M. and Van Lenthe, F.J., 2014. How many walking
and cycling trips made by elderly are beyond commonly used buffer sizes: results from a GPS study. Health & place, 27,
pp.127-133.
[14] Rodrı ́ guez, D.A. and Joo, J., 2004. The relationship between non-motorized mode choice and the local physical
environment. Transportation Research Part D: Transport and Environment, 9(2), pp.151-173.
[15] Sallis, J.F., Frank, L.D., Saelens, B.E. and Kraft, M.K., 2004. Active transportation and physical activity: opportunities for
collaboration on transportation and public health research. Transportation Research Part A: Policy and Practice, 38(4),
pp.249-268.
[16] Sener, I.N., Eluru, N. and Bhat, C.R., 2009. An analysis of bicycle route choice preferences in Texas,
US. Transportation, 36(5), pp.511-539.
[17] Sun, Y., Moshfeghi, Y. and Liu, Z., 2017. Exploiting crowdsourced geographic information and GIS for assessment of air
pollution exposure during active travel. Journal of Transport & Health, 6, pp.93-104.
[18] Taleai, M., Taheri Amiri, E., 2017. Spatial multi-criteria and multi-scale evaluation of walkability potential at street
segment level: A case study of Tehran. Sustainable cities and society, 31, pp 37-50.
[19] Taleai, M. and Yameqani, A.S., 2018. Integration of GIS, remote sensing and Multi-Criteria Evaluation tools in the search
for healthy walking paths. KSCE Journal of Civil Engineering, 22(1), pp.279-291.
[20] Whalen, K.E., Páez, A. and Carrasco, J.A., 2013. Mode choice of university students commuting to school and the role of
active travel. Journal of Transport Geography, 31, pp.132-142.

9