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移动感知与激励性出行行为定向转变的政策2.0平台。

Policy 2.0 Platform for Mobile Sensing and Incentivized Targeted Shifts in Mobility Behavior.

作者信息

Semanjski Ivana, Lopez Aguirre Angel Javier, De Mol Johan, Gautama Sidharta

机构信息

Department of Telecommunications and Information Processing, Ghent University, St-Pietersnieuwstraat 41, Ghent B-9000, Belgium.

Facultad de Ingeniería Mecánica y Ciencias de la Producción, Escuela Superior Politécnica del Litoral, ESPOL, Campus Gustavo Galindo Km 30.5 Vía Perimetral, Guayaquil 09-01-5863, Ecuador.

出版信息

Sensors (Basel). 2016 Jul 5;16(7):1035. doi: 10.3390/s16071035.

Abstract

Sustainable mobility and smart mobility management play important roles in achieving smart cities' goals. In this context we investigate the role of smartphones as mobility behavior sensors and evaluate the responsivity of different attitudinal profiles towards personalized route suggestion incentives delivered via mobile phones. The empirical results are based on mobile sensed data collected from more than 3400 people's real life over a period of six months. The findings show which user profiles are most likely to accept such incentives and how likely they are to result in more sustainable mode choices. In addition we provide insights into tendencies towards accepting more sustainable route options for different trip purposes and illustrate smart city platform potential (for collection of mobility behavior data and delivery of incentives) as a tool for development of personalized mobility management campaigns and policies.

摘要

可持续出行和智能出行管理在实现智慧城市目标方面发挥着重要作用。在此背景下,我们研究智能手机作为出行行为传感器的作用,并评估不同态度特征对通过手机提供的个性化路线建议激励措施的响应度。实证结果基于在六个月时间内从3400多人的现实生活中收集的移动感知数据。研究结果表明哪些用户特征最有可能接受此类激励措施,以及它们导致更可持续出行方式选择的可能性有多大。此外,我们深入了解了不同出行目的下接受更可持续路线选择的趋势,并阐明了智慧城市平台(用于收集出行行为数据和提供激励措施)作为开发个性化出行管理活动和政策工具的潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8b0/4970084/bcf8ae9bb00c/sensors-16-01035-g001.jpg

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