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Information and Transportation Choices, Long- and Short-Term, that Link Sustainability and Livability Phase II
| 题名： | Information and Transportation Choices, Long- and Short-Term, that Link Sustainability and Livability Phase II |
| 作者： | Guo, Y.; Peeta, S.; Li, Y. |
| 关键词： | Transportation choices##Transportation mobility##Accessibility analysis##Mobility improvement projects##Accessibility impacts##Project models##Metrics model## |
| 摘要： | This project will develop practical approaches to the delivery of accessibility related information and new decision-making models in the full time-scale range that are informed by multiple disciplines including cognitive science, behavioral economics, marketing, transportation, and urban planning. It will design information interventions intended for the full range of transportation-relevant decisions and test their impacts on people moving to the Greater Lafayette area, Indiana. The research is designed to test the sensitivity of: (i) long-term decision of residential location choice to information, and (ii) the sensitivity of short-term travel characteristics to long-term residential location choice. To enable this study, in a collaborative Phase I project, researchers at the University of Michigan and Purdue University designed and developed an interactive on-line accessibility mapping tool for the Greater Lafayette area to assess long-term residential location decision-making under information provision by linking to measures of accessibility and livability. This interactive on-line accessibility mapping tool would allow participants to visualize different levels of accessibility using different transportation modes based on their work locations and the importance of different trip purposes (including trips to work and non-work locations). Four transportation modes are incorporated in the interactive on-line accessibility mapping tool including walking, bicycling, public transit, and driving. The transportation accessibility is calculated based on the travel time from each census block groups in the Greater Lafayette area to different types of activities using Google Maps. |
| 总页数： | 65 |
| 报告类型： | 科技报告 |
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