PostCarWorld
收藏Mendeley Data2024-06-01 更新2024-06-27 收录
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Policy decisions in many developed countries, especially for urban areas, tend to favor car reducing and pedestrian-friendly environments to reduce urban traffic congestion and improve the overall transportation network efficiency. In fact, a technological and behavioral transformation is already under way towards a world with a reduced role of privately owned and operated cars, which are substituted by various forms of shared mobility. The investigation of temporal rhythms in activity scheduling, the reshaping in time organization and mobility tool ownership plays a key role in understanding travel behavior in a world with restricted car ownership and usage, including carsharing and carpooling as potential mode alternatives. The main research question addressed by this study is to what degree individuals would change travel modes, time allocation and activity patterns after experiencing large changes in generalized transportation costs and how they would react regarding their longer-term ownership in mobility tools, assessing radical pricing effects from an activity-based perspective. The empirical basis is a multi-day travel and online diary that is required to obtain the personalized reference values for the later stated choice and stated adaptation tasks.
诸多发达国家的政策决策,尤其是城市地区的相关政策,往往倾向于推行小汽车减量策略与步行友好型环境建设,以缓解城市交通拥堵并提升整体交通网络运行效率。事实上,一场技术与行为层面的转型已然开启:未来私家车的使用与主导地位将逐步弱化,并为各类共享出行方式所替代。探究活动调度中的时间节律、时间组织模式的重塑以及出行工具保有情况的变化,对于理解私家车保有与使用受限场景下的出行行为至关重要——此类场景下,汽车共享(carsharing)与拼车(carpooling)等可作为潜在的出行方式替代方案。本研究旨在解决的核心科学问题为:当个体面临广义交通成本的大幅变动后,其出行方式、时间分配与活动模式会在多大程度上发生改变?同时,从基于活动的研究视角评估大幅定价调整的影响时,个体在出行工具长期保有方面会做出何种响应?本研究的实证基础为多日出行与在线日志调查,该调查用于获取个性化参考值,以供后续的陈述性选择(stated choice)与陈述性适应(stated adaptation)任务使用。
创建时间:
2023-06-28



