The influence of socio-demographic and neighborhood characteristics on residents’ safety perception of active mobility in Accra, Ghana

References

• Ajayi, S. A., Adams, C. A., Dumedah, G., Adebanji, O. A., Ababio-Donkor, A., Ackaah, W., & Kehinde, A. (2023). Public perceptions of vehicular traffic emissions on health risk in Lagos metropolis Nigeria: A critical survey. Heliyon, 9(5), e15712. https://doi.org/10.1016/j.heliyon.2023.e15712
   PubMed Web of Science ®Google Scholar
• Amegah, A. K., & Agyei-Mensah, S. (2017). Urban air pollution in Sub-Saharan Africa: Time for action. Environmental Pollution, 220, 738–15. https://doi.org/10.1016/j.envpol.2016.09.042
   PubMed Web of Science ®Google Scholar
• Armah, F., Yawson, D., & Pappoe, A. A. N. M. (2010). A systems dynamics approach to explore traffic congestion and air pollution link in the city of Accra, Ghana. Sustainability, 2(1), 252–265. https://doi.org/10.3390/su2010252
   Google Scholar
• Azimi, G., Rahimi, A., Asgari, H., & Jin, X. (2020). Severity analysis for large truck rollover crashes using a random parameter ordered logit model. Accident Analysis & Prevention, 135, 105355. https://doi.org/10.1016/j.aap.2019.105355
   PubMed Web of Science ®Google Scholar
• Aziz, H. M. A., Nagle, N. N., Morton, A. M., Hilliard, M. R., White, D. A., & Stewart, R. N. (2018). Exploring the impact of walk–bike infrastructure, safety perception, and built-environment on active transportation mode choice: A random parameter model using New York City commuter data. Transportation, 45(5), 1207–1229. https://doi.org/10.1007/s11116-017-9760-8
   Web of Science ®Google Scholar
• Bhat, C. R. (2003). Simulation estimation of mixed discrete choice models using randomized and scrambled Halton sequences. Transportation Research Part B: Methodological, 37(9), 837–855. https://doi.org/10.1016/S0191-2615(02)00090-5
   Web of Science ®Google Scholar
• Building & Road Research Institute. (2023). Road traffic crashes in Ghana, statistics 2021. The Building & Road Research Institute.
   Google Scholar
• CDC. (2021). Physical activity - walking. Center for Disease Control and Prevention. https://www.cdc.gov/physicalactivity/walking/index.htm
   Google Scholar
• Dameria, C., & Fuad, A. H. (2021). Enhancing female pedestrians’ safety perceptions through the permeability of building frontages (case study: Blok M area). IOP Conference Series: Earth and Environmental Science, 673(1), 012040. https://doi.org/10.1088/1755-1315/673/1/012040
   Google Scholar
• Essel, D., & Spadaro, J. (2020). Health and economic impacts of transport interventions in Accra, Ghana.
   Google Scholar
• Fishman, E. (2016). Cycling as transport. Transport Reviews, 36(1), 1–8. https://doi.org/10.1080/01441647.2015.1114271
   Web of Science ®Google Scholar
• Fishman, E., Washington, S., & Haworth, N. (2012). Understanding the fear of bicycle riding in Australia. Journal of the Australasian College of Road Safety, 23(3), 19–27. https://doi.org/10.3316/informit.772959788443259
   Google Scholar
• Garcia, L., Johnson, R., Johnson, A., Abbas, A., Goel, R., Tatah, L., Damsere-Derry, J., Kyere-Gyeabour, E., Tainio, M., de Sá, T. H., & Woodcock, J. (2021). Health impacts of changes in travel patterns in Greater Accra Metropolitan Area, Ghana. Environment International, 155, 106680. https://doi.org/10.1016/j.envint.2021.106680
   PubMed Web of Science ®Google Scholar
• Godefrooij, T., & Schepel, S. (2010). Co-Benefits of Cycling-Inclusive: Planning and Promotion. CID: 20.500.12592/t7ps2w. Retrieved December 20, 2022, from https://policycommons.net/artifacts/1505993/co-benefits-of-cycling-inclusive/2169777/on.
   Google Scholar
• Hackl, R., Raffler, C., Friesenecker, M., Kramar, H., Kalasek, R., Soteropoulos, A., Wolf-Eberl, S., Posch, P., & Tomschy, R. (2019). Promoting active mobility: Evidence-based decision-making using statistical models. Journal of Transport Geography, 80, 102541. https://doi.org/10.1016/j.jtrangeo.2019.102541
   Web of Science ®Google Scholar
• Halton, J. H. (1960). On the efficiency of certain quasi-random sequences of points in evaluating multi-dimensional integrals. Numerische Mathematik, 2(1), 84–90. https://doi.org/10.1007/BF01386213
   Google Scholar
• Heinen, E., Maat, K., & van Wee, B. (2011). The role of attitudes toward characteristics of bicycle commuting on the choice to cycle to work over various distances. Transportation Research, Part D: Transport & Environment, 16(2), 102–109. https://doi.org/10.1016/j.trd.2010.08.010
   Web of Science ®Google Scholar
• Hidayati, I., Tan, W., & Yamu, C. (2020). How gender differences and perceptions of safety shape urban mobility in Southeast Asia. Transportation Research Part F: Traffic Psychology and Behaviour, 73, 155–173. https://doi.org/10.1016/j.trf.2020.06.014
   Web of Science ®Google Scholar
• Jamal, S., & Mohiuddin, H. (2020). Active transportation indicators and establishing baseline in a developing country context: A study of Rajshahi, Bangladesh. Growth and Change, 51(4), 1894–1920. https://doi.org/10.1111/grow.12420
   Web of Science ®Google Scholar
• Koszowski, C., Gerike, R., Hubrich, S., Götschi, T., Pohle, M., & Wittwer, R. (2019). Active mobility: Bringing together transport planning, urban planning, and public health. https://doi.org/10.1007/978-3-319-99756-8_11
   Google Scholar
• Lucas, K. (2011). Making the connections between transport disadvantage and the social exclusion of low income populations in the Tshwane region of South Africa. Journal of Transport Geography, 19(6), 1320–1334. https://doi.org/10.1016/j.jtrangeo.2011.02.007
   Web of Science ®Google Scholar
• Mannering, F. L., Shankar, V., & Bhat, C. R. (2016). Unobserved heterogeneity and the statistical analysis of highway accident data. Analytic Methods in Accident Research, 11, 1–16. https://doi.org/10.1016/j.amar.2016.04.001
   Web of Science ®Google Scholar
• Markvica, K., Millonig, A., Haufe, N., & Leodolter, M. (2020). Promoting active mobility behavior by addressing information target groups: The case of Austria. Journal of Transport Geography, 83, 102664. https://doi.org/10.1016/j.jtrangeo.2020.102664
   Web of Science ®Google Scholar
• Obeng-Odoom, F. (2009). Drive left, look right: The political economy of urban transport in Ghana. International Journal of Urban Sustainable Development, 1(1–2), 33–48. https://doi.org/10.1080/19463130903561475
   Google Scholar
• Oyeyemi, A. L., & Larouche, R. (2018). Prevalence and correlates of active transportation in developing countries. In Children’s active transportation (pp. 173–191). Elsevier. https://doi.org/10.1016/B978-0-12-811931-0.00012-0
   Google Scholar
• Pisoni, E., Christidis, P., & Navajas Cawood, E. (2022). Active mobility versus motorized transport? User choices and benefits for the society. Science of the Total Environment, 806, 150627. https://doi.org/10.1016/j.scitotenv.2021.150627
   PubMed Web of Science ®Google Scholar
• Quistberg, D. A., Howard, E. J., Hurvitz, P. M., Moudon, A. V., Ebel, B. E., Rivara, F. P., & Saelens, B. E. (2017). The relationship between objectively measured walking and risk of pedestrian–motor vehicle collision. American Journal of Epidemiology, 185(9), 810–821. https://doi.org/10.1093/aje/kwx020
   PubMed Web of Science ®Google Scholar
• Rojas López, M. C., & Wong, Y. D. (2017). Attitudes towards active mobility in Singapore: A qualitative study. Case Studies on Transport Policy, 5(4), 662–670. https://doi.org/10.1016/j.cstp.2017.07.002
   Web of Science ®Google Scholar
• Smart Growth America. (2023). Complete streets. https://smartgrowthamerica.org/what-are-complete-streets/
   Google Scholar
• Sukhai, A., Govender, R., van Niekerk, A., & Tu, W. (2021). Fatality risk and issues of inequity among vulnerable road users in South Africa. PLOS ONE, 16(12), e0261182. https://doi.org/10.1371/journal.pone.0261182
   PubMed Web of Science ®Google Scholar
• Timpabi, A. P., Adams, C. A., & Osei, K. K. (2023). The role of infrastructure and route type choices for walking and cycling in some cities in Ghana. Urban, Planning and Transport Research, 11(1). https://doi.org/10.1080/21650020.2023.2222838
   Google Scholar
• Train, K. (2003). Discrete choice methods with simulation. Cambridge Univeristy Press. https://www.researchgate.net/profile/Kenneth_Train/publication/5206179_Discrete_Choice_Method_With_Simulation/links/560f62e408ae48337517b980/Discrete-Choice-Method-With-Simulation.pdf
   Google Scholar
• Ulfarsson, G. F., & Mannering, F. L. (2004). Differences in male and female injury severities in sport-utility vehicle, minivan, pickup and passenger car accidents. Accident Analysis & Prevention, 36(2), 135–147. https://doi.org/10.1016/S0001-4575(02)00135-5
   PubMed Web of Science ®Google Scholar
• United Nations. (2018, May, 16). 68% of the world population projected to live in urban areas by 2050, says UN. United Nations Department of Economic and Social Affairs.
   Google Scholar