Analyzing the impact of demographic factors and urban density on mode choice in the greater brisbane area

• Autorzy: Hafenrichter Dennis , Stern Steven , Rajaguru Gulasekaran

Identyfikatory

DOI

10.20858/tp.2024.19.4.10

• Języki publikacji: EN

Abstrakty

EN

Understanding the influence of demographic factors and urban density on transportation mode choice is crucial for promoting sustainable mobility in urban areas. This study examines these influences in the Greater Brisbane Area using data from the Queensland Household Travel Survey (QHTS) collected between 2018 and 2023. We apply binomial logistic regression models to analyze how age, gender, employment status, presence of children, and urban density at origin and destination locations affect the likelihood of choosing transportation modes, including car, walking, bicycling, public transport, and Mobility as a Service (MaaS). The results indicate that higher urban density is significantly associated with reduced car usage and increased use of sustainable modes such as walking, public transport, and bicycling. Older individuals are more likely to use cars and less likely to choose active modes, while males have a higher propensity to bicycle compared to females. Employment status also influences mode choice, with employed individuals more likely to drive or use public transport and less likely to walk. Although the number of MaaS users in the dataset is limited, preliminary findings suggest potential higher adoption in high-density areas and among older individuals. These insights provide empirical evidence from Brisbane and have practical implications for urban planners and policymakers. Enhancing infrastructure for sustainable transportation in densely populated areas and considering demographic factors can promote sustainable mobility patterns. Future research should include additional variables such as transportation supply factors and use longitudinal data to explore causal relationships. Investigating the barriers to MaaS adoption in Brisbane would also be valuable for shaping future urban mobility strategies.

Słowa kluczowe

EN

urban transportation; binomial regression; Mobility as a Service (MaaS); demographic factors; sustainable transport modes

PL

transport miejski; regresja dwumianowa; Mobilność jako usługa (MaaS); czynniki demograficzne; zrównoważone środki transportu

• Wydawca: Wydawnictwo Politechniki Śląskiej
• Czasopismo: Transport Problems
• Rocznik: 2024
• Tom: T. 19, z. 4
• Strony: 123--135
• Opis fizyczny: Bibliogr. 24 poz.

Twórcy

autor

Hafenrichter Dennis

• Bond University; Centre for Data Analytics (CDA); 14 University Dr, Robina QLD 4226, Australia

• https://orcid.org/0009-0001-2016-5406

autor

Stern Steven

• Bond University; Centre for Data Analytics (CDA); 14 University Dr, Robina QLD 4226, Australia

• https://orcid.org/0000-0003-4048-5121

autor

Rajaguru Gulasekaran

• Bond University; Centre for Data Analytics (CDA); 14 University Dr, Robina QLD 4226, Australia

• https://orcid.org/0000-0003-2816-1749

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