Smart and Sustainable Mobility Services and Ecosystems

Permanent URI for this collectionhttps://hdl.handle.net/10125/107445

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    Cycling Towards Equity: Assessing the Role of Bike Share Programs in Mitigating Urban Transportation Disruptions and Promoting Inclusive Mobility
    (2024-01-03) Choi, Yunmin; Jung, Jaehwuen; Baek, Jiye
    This research investigates how bike share systems are utilized under disruptions in public transport and how the impact subsequently converts to increased subscription of the service. Transportation disruptions harm the individual capabilities to continue with commute, which hampers access to essential economic activities and services. Furthermore, the shock affects low-income people much more, imposing higher economic burdens. We examine the efficacy of bike share systems under these dire situations. Through a series of difference-in-differences estimation, we observe several notable findings. First, we find that bike share systems serve low-income neighborhoods when subway operation becomes disrupted. Second, we observe that such an unexpected disruption invokes permanent adoption of latent users in the disadvantaged neighborhoods. Our findings provide relevant managerial and political implications.
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    Introduction to the Minitrack on Smart and Sustainable Mobility Services and Ecosystems
    (2024-01-03) Lindman, Juho; Rossi, Matti; Tuunainen, Virpi
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    From Cute to Incompetent: The Impact of Anthropomorphic Design on Responsibility Attribution in Autonomous Driving
    (2024-01-03) Messer, Uwe; Pape, Denise; Lukas, Nadine; Peters, Leonore
    In the era of artificial intelligence (AI) and automation, the shift from human labor to machines is evident. This study focuses on autonomous vehicles (AVs) and explores the attribution of responsibility in the case of accidents, considering anthropomorphic design elements in the vehicle front. Prior research emphasizes the positive effects of anthropomorphizing technology but has overlooked potential drawbacks. By examining specific facial schemas, we aim to understand how design elements influence responsibility attribution in AVs. Our findings suggest that a babyfaced design reduces responsibility attribution in non-autonomous vehicles but increases it in fully autonomous vehicles.