Last Mile Delivery and Route Planning for Freight

This report analyzes anticipated list mile challenges in Indiana by using a scenario-based approach to develop forecasts of GDP growth and thus freight growth across industry clusters in Indiana counties; potential congestion implied by this growth; and a proactive plan to add capacity to alleviate the congestion. We use a quantitative approach to aggregate ramp level flows, industry cluster locations, county layout, and economic activity to develop our recommendations. We develop forecasts through the year 2050 based on long-term planning approaches used by other states (California, Ohio, and Utah). We use data from global databases that consider different possible geo-political scenarios and regulatory choices to scale it down to county-level impact. At the same time, we track industry cluster locations within each county, ramps from interstates, and distances to travel within the counties to reach freight destinations. The result is a report that combines macro trends with micro detail to develop potential capacity bottlenecks

Public Acceptance and Socio-Economic Analysis of Shared Autonomous Vehicles: Implications for Policy and Planning

69A3551747105Shared transportation has grown significantly as renewed interest in urbanism and growing social and economic concerns have strengthened the need for sustainable alternatives. Shared autonomous vehicles (SAVs) are emerging as an alternative mode of transportation that could improve mobility and accessibility. However, the implications of SAVs on social equity are still under research and uncertainty exists regarding the potential adoption and market penetration within transportation-disadvantaged populations. The objective of this study is to assess the extent to which transportation-disadvantaged groups intend to adopt SAVs at two study areas with different density and travel characteristics, and to identify the potential geographical areas where SAVs could be effectively deployed. Public acceptance towards SAVs was assessed via stated preference surveys while a multi-spatial perspective approach was adopted to identify transportation disadvantaged groups in the two study areas. The results of the spatial market segmentation analysis showed that most of the respondents located in areas in Indianapolis identified as transportation disadvantaged are classified as early adopters and innovators, while the opposite conclusion was reached for the respective areas in Chicago, except for those closer to the downtown area. The results of this study could be useful to three stakeholders: ridesharing service providers, for their marketing and pricing-scheme decisions; public transportation planning agencies, for their policy making and investment decisions; and transportation planners, for infrastructure preparations towards the emergence of SAVs