2019
DOI: 10.1088/1748-9326/ab22c7
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A novel global urban typology framework for sustainable mobility futures

Abstract: Urban mobility significantly contributes to global carbon dioxide emissions. Given the rapid expansion and growth in urban areas, cities thus require innovative policies to ensure efficient and sustainable mobility. Urban typologies can serve as a vehicle for understanding dynamics of cities, which exhibit high variability in form, economic output, mobility behavior, among others. Yet, typologies relevant for sustainable urban mobility analyses are few, outdated and not large enough in scope. In this paper, we… Show more

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Cited by 46 publications
(40 citation statements)
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“…Finally, the simulation platform described in this paper, SimMobility, has been enhanced for energy computations and calibrated for urban typologies that represent key mobility characteristics on a global scale (Oke et al, 2019). The aim is to develop a new integrated framework for analyzing the impacts of future mobility strategies and emerging vehicle technologies that account for not only ABA, benefits and costs but also energy consumption and level of service.…”
Section: Discussionmentioning
confidence: 99%
“…Finally, the simulation platform described in this paper, SimMobility, has been enhanced for energy computations and calibrated for urban typologies that represent key mobility characteristics on a global scale (Oke et al, 2019). The aim is to develop a new integrated framework for analyzing the impacts of future mobility strategies and emerging vehicle technologies that account for not only ABA, benefits and costs but also energy consumption and level of service.…”
Section: Discussionmentioning
confidence: 99%
“…This typology study differs from others, largely due to the more detailed geographic resolution of its analysis. While other recent typology projects have used the city as their unit of comparison (Creutzig et al., 2015; McIntosh et al., 2014; Oke et al., 2019), this study’s use of census-block groups as a level of analysis allows for comparisons of sub-city-level dynamics that are not possible with city-level typologies. Incentive programs from local government entities and other targeted initiatives may find these higher-resolution data more useful for their purposes.…”
Section: Discussionmentioning
confidence: 99%
“…Agglomerative (i.e. bottom-up) hierarchical clustering was selected as the approach to identify census block groups with maximum similarities across the three previously derived factors, per the methods of Oke et al. (2019).…”
Section: Methodsmentioning
confidence: 99%
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“…is project was initiated in 2010, and is still under active development, which gave us the opportunity to address some of the aforementioned concerns from the LUTI modeling community. Our recent efforts demonstrate how SimMobility can be used to understand the impact of automated mobility on housing-mobility choices (Basu and Ferreira 2020b;Basu and Ferreira 2020a), private vehicle ownership (Basu and Ferreira 2020c), and the future of mass transit (Basu et al 2018a), in addition to highlighting the potential for sustainable mobility futures (Oke et al 2019).…”
Section: Luti Models For Uncertain Futuresmentioning
confidence: 99%