Can freeway traffic volume information facilitate urban accessibility assessment?: Case study of the city of St. Louis |
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| Institution: | 1. Department of Civil Engineering and Engineering Mechanics, The University of Arizona, 1209 E 2nd St., Tucson, AZ 85721, USA;2. Alliance Transportation Group Inc., 11500 Metric Blvd., Bldg. M-1, Suite 150, Austin, TX 78758, USA;3. Center for Sustainability, Saint Louis University, 3694 West Pine Mall, St. Louis, MO 63108, USA;1. Department of Plant and Environmental Science, University of Copenhagen, Hoejbakkegaard Alle 30, 2630 Taastrup, Denmark;2. Department of Agroecology, Aarhus University, Blichers Allé 20, PO Box 50, 8830 Tjele, Denmark;3. Natural Resources Institute, University of Greenwich, United Kingdom;1. Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China;2. Lanzhou University, Lanzhou 730000, China;3. University of Chinese Academy of Sciences, Beijing 100049, China;1. School of Economics and Finance, Faculty of Business and Economics, The University of Hong Kong, Hong Kong;2. Economic Research Department, Federal Reserve Bank of Kansas City, USA;3. Department of Economics, University of Virginia, Charlottesville, VA 22904, USA;1. Dept. of Geography, The Hebrew University, Mount Scopus, Jerusalem 91509, Israel;2. Dept. of Geography and School of Public Policy, The Hebrew University, Mount Scopus, Jerusalem 91509, Israel;1. Evolutionary and Systematic Botany Group, Institute of Plant Sciences, University of Regensburg, Universitätsstr. 31, D-93053 Regensburg, Germany;2. Bavarian Forest National Park, Freyunger Str. 2, D-94481 Grafenau, Germany |
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| Abstract: | In urban contexts, accessibility measures are often utilized to represent the interactions among land use, transport and people’s trips to services and other facilities. Accessibility is generally evaluated using conventional traffic measures such as travel time and distance, but traffic volume, which is a product of the travel trips induced by people’s needs, may also be positively related to accessibility. This study tests the hypothesis “can freeway traffic volume information facilitate urban accessibility assessment?” Traffic volume based accessibility models are proposed to investigate this relationship and test the hypothesis. The results indicate that the answer to this question is a qualified “yes”, as there is a statistically significant relationship between traffic volume differences and accessibility. The coefficients of the models can potentially be used as a reference to guide the urban planning process. The limitations of the proposed models can be addressed by deploying Intelligent Transportation Systems (ITS) traffic sensors on ramps and arterial roadways. |
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| Keywords: | Accessibility Freeway traffic volume Ramp volume difference Facility opportunity GIS analysis |
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