Comparing travel behavior and opportunities to increase transportation sustainability in small cities, towns, and rural communities
Data files
Aug 22, 2023 version files 705.24 KB
Abstract
The vast majority of travel behavior and sustainable transportation research has focused on urban areas. A rural perspective is lacking. In this study, we aim to dive deeper into understanding how people travel and their perceptions and opinions about various components of travel in a majority rural state. By speaking directly with Vermonters through in-person interviews, we obtain uniquely personal points of view and analyze them for commonalities and differences between urban, suburban, and rural Vermonters. We ask questions on day-to-day challenges of traveling, suggestions for reducing greenhouse gas (GHG) emissions, responses to fuel prices, and opinions on electric vehicles. Some of our key findings include that rural areas struggle most with traveling long distances to reach services, urban areas are more concerned with traffic, and opinions on electric vehicle (EV) ownership are consistent across the state, with people being likely to consider owning an EV if costs were to decrease. Our interviews identify additional questions that should be evaluated further to help states develop practical and effective policies aimed at reducing GHG emissions in rural areas. We also recommend further in-depth survey research to provide a more complete picture of the potential to shift travel behavior, particularly in rural areas. This research adds to the body of knowledge in a historically understudied population, enabling the research community to better understand and work more closely with small and rural communities to address climate change and achieve deeper GHG emission reductions.
Methods
Research subjects were approached by members of the research team in public places in Vermont including public parks, recreation facilities, village stores and grocery stores and asked to participate in a short interview. Each respondent was asked the same series of questions and the audio of their responses were recorded and later transcribed. The transcribed data was then coded and evaluated. Please see the journal article for more details.