Active transportation and the built environment of a mid-size global south city

Rahman, Md. Mokhlesur; Upaul, Sharfan; Thill, Jean-Claude; Rahman, Mahinur

doi:10.1016/j.scs.2022.104329

Cited by 11 publications

(4 citation statements)

References 87 publications

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“…Destination accessibility indicates the ease of access or proximity to destination [11], [33]. Accessibility is measured using distance to destinations or the number of jobs/facilities that can be reached easily.…”

Section: ) Destination Accessibilitymentioning

confidence: 99%

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Non-Linear Associations Between the Urban Built Environment and Commuting Modal Split: A Random Forest Approach and SHAP Evaluation

et al. 2023

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The study of commuting mode choice is crucial since driving, with all its associated environmental and economic consequences, is the United States' most popular mode of transportation due to urban sprawl, priority to road construction and America's love affair with the automobile. More attention needs to be paid to sustainable modes such as public transit and walking. The built environment is expected to have an impact on commuting mode choice. Built environments with higher density, diversity, intentional design, destination accessibility, and shorter distance to transit (collectively known as the 5 Ds of the built environment) are hypothesized to lead to more sustainable mode choices, including public transit and walking. In this paper, we evaluate the impact of built environment variables on commuting modal split, including the four modes of public transit-bus, public transit-rail, walking, and driving. The study is conducted in Mecklenburg County, North Carolina, at the geographic level of census block groups in year 2015. Given the complexity of relationships in the built environment-travel behavior subject, the random forest method is used to predict aggregated commuting mode choice. Random forest is employed as it is capable of capturing nonlinear relationships and is not constrained by limitations in other widely used methods, such as multinomial logistic regression. After predicting the commuting mode shares, SHAP values (SHapley Additive exPlanations) are used to evaluate the impact of the built environment on commuting mode choices. As an advanced machine learning method, SHAP values adds explainability to the model. This method resolves the known limitation of machine learning methods as being ''black boxes'' and converts them to ''white boxes'' by providing interpretability. They provide insights into both the direction and magnitude of the relationships. Thanks to its rigorous ML-based design, our study helps to solidify the state of knowledge with strong evidence that block groups with higher degrees of the 5Ds lead to more choices of public transit and walking modes. We discuss urban policy implications of this study.

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Section: ) Destination Accessibilitymentioning

confidence: 99%

“…To date, numerous studies have investigated the impacts of the built environment on different aspects of people's mobility and travel behaviors (e.g., [7], [9], [10], [11]). Most of these studies have used statistical and econometric models to gauge these effects [12], [13], [14].…”

Section: Introduction a Context And Objectivesmentioning

confidence: 99%

Non-Linear Associations Between the Urban Built Environment and Commuting Modal Split: A Random Forest Approach and SHAP Evaluation

et al. 2023

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“…Therefore, by shifting the focus to the urban road network, the study aimed to contribute to the understanding of the unique challenges and their potential countermeasures specific to urban areas. Secondly, CAVs are expected to have significant and multifaceted impacts on urban areas, which encompass diverse environments, land uses, road types, and road users [49, 50]. The complexity and variation in urban road networks present specific challenges that need to be addressed before the commercialisation of CAVs.…”

Section: Results and Findingsmentioning

confidence: 99%

Infrastructure‐related challenges in implementing connected and automated vehicles on urban roads: Insights from experts and stakeholders

Tengilimoglu

Carsten

Wadud

2023

IET Intelligent Trans Sys

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The introduction of connected and automated vehicles (CAVs) has the potential to bring numerous advantages to urban mobility. However, many challenges for road infrastructure need to be overcome before those benefits can be achieved. This study addressed multiple dimensions of the implications of CAV deployment for road infrastructure through a comprehensive survey with 168 experts from different sectors and regions around the world. The issues are grouped into five categories: (1) key challenges of accommodating CAVs in existing urban transport networks; (2) infrastructure improvement required for shared CAV models; (3) maintenance aspects of infrastructure for CAVs; (4) implementation time of infrastructure support for CAVs; and (5) financing infrastructure upgrades to facilitate CAVs on the roads. The outcomes of the research show that there is still no consensus among the stakeholders on what should be considered to maximise CAV benefits for society as a whole. This indicates the necessity for cooperation between stakeholders to achieve the safe and efficient operation of CAVs. Overall, this study provides in‐depth insights for decision‐makers and transport planners to form policies, regulations, and guidelines regarding the future implementation of CAVs for roads before their commercialisation phase.

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“…Despite favourable conditions, factors such as the prevalence of low-cost motorized vehicles impose limitations on active travel. The study demonstrated that compactness and sidewalk conditions influence walking, while roadway infrastructure and travel distance affect both walking and bicycling (Rahman et al, 2023). Salvo outlined that the field of physical activity and public health primarily follows a choice-based model, stemming from highincome countries.…”

Section: Introductionmentioning

confidence: 99%

Social norms and perceptions of Saudis on active transportation

Hasan,

Alhomaidat,

Albdour

2024

Front. Built Environ.

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The culture of active transportation (walking or cycling) in the Kingdom of Saudi Arabia (KSA) is less prevalent than in other societies. This study aims to understand the perceptions of people in the KSA about the role of cultural dimensions on active transportation. The study was conducted in Jeddah, prominent urban city in Saudi Arabia. The city suffers from rapid growth in vehicle users compared to active transportation. An online survey was employed with around 800 individuals participating from King Abdulaziz University. The results were analysed based on participants’ sex. Few participants reported walking as the mode of transportation from home to work/school and no participants reported using a bicycle as daily commute. Females identify societal tradition and norms as the main factors that impede their engagement in active transportation. Males, who were embarrassed to walk/cycle, defined clothing and social status as the main barriers. Most males and females identify climate (high temperature throughout the year) as one of the main obstacles to walk/bike. Significant social, environmental, and infrastructural predictors of participants’ modal choice were the distance from home to school/workplace, age, social values, family size, citizenship, and road safety.

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Active transportation and the built environment of a mid-size global south city

Cited by 11 publications

References 87 publications

Non-Linear Associations Between the Urban Built Environment and Commuting Modal Split: A Random Forest Approach and SHAP Evaluation

Non-Linear Associations Between the Urban Built Environment and Commuting Modal Split: A Random Forest Approach and SHAP Evaluation

Infrastructure‐related challenges in implementing connected and automated vehicles on urban roads: Insights from experts and stakeholders

Social norms and perceptions of Saudis on active transportation

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