Planning beyond the metro: Rural travel behavior and the built environment
Harry Schukei & Dana Rowangould
What the paper says
Reducing greenhouse gas (GHG) emissions from transportation is particularly challenging in rural communities. People living in rural areas are more vehicle reliant and are also more likely to face barriers to meeting their mobility needs. One approach to reducing vehicle travel without exacerbating mobility challenges is through directing population growth into compact multimodal communities. Despite substantial differences in travel in rural versus urban contexts, very little prior research has evaluated the relationship between travel and the built environment (BE) in rural areas. We use spatially detailed travel behavior data to evaluate the relationships between BE factors and sustainable travel behaviors in rural communities in the United States. We find that the relationship between travel and the BE differs between rural and urban areas, with local access exhibiting a weaker association with travel behavior in rural communities when compared with urban communities. Conversely, regional access exhibits a larger association with travel behavior in rural communities. We also found that the association between personal characteristics and travel behavior was significantly smaller in rural communities. Furthermore, our results suggest that the relationships between travel and the BE may differ across different types of rural communities. Transportation planners and researchers should take note of the different relationship between the BE and travel behavior in urban and rural areas. Our research suggests that while relationships between travel and the BE observed in urban-focused research may not hold in rural communities, there does appear to be some ability to influence travel behavior using the built environment.
2 citations
Evidence weight
Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40
| F · citation impact | 0.25 × 0.4 = 0.10 |
| M · momentum | 0.55 × 0.15 = 0.08 |
| V · venue signal | 0.50 × 0.05 = 0.03 |
| R · text relevance † | 0.50 × 0.4 = 0.20 |
† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.