| dc.contributor.author | Hungness, Derek | |
| dc.contributor.author | Bridgelall, Raj | |
| dc.description.abstract | Transportation planning has historically relied on statistical models to analyze travel patterns across space and time. Recently, an urgency has developed in the United States to address outdated policies and approaches to infrastructure planning, design, and construction. Policymakers at the federal, state, and local levels are expressing greater interest in promoting and funding sustainable transportation infrastructure systems to reduce the damaging effects of pollutive emissions. Consequently, there is a growing trend of local agencies transitioning away from the traditional level-of-service measures to vehicle miles of travel (VMT) measures. However, planners are finding it difficult to leverage their investments in their regional travel demand network models and datasets in the transition. This paper evaluates the applicability of VMT forecasting and impact assessment using the current travel demand model for Dane County, Wisconsin. The main finding is that exploratory spatial data analysis of the derived data uncovered statistically significant spatial relationships and interactions that planners cannot sufficiently visualize using other methods. Planners can apply these techniques to identify places where focused VMT remediation measures for sustainable networks and environments can be most cost-effective. | en_US |
| dc.rights | In copyright. Permission to make this version available has been granted by the author and publisher. | |
| dc.title | Exploratory Spatial Data Analysis of Traffic Forecasting: A Case Study | en_US |
| dc.type | Article | en_US |
| dc.description | Raj Bridgelall is the program director for the Upper Great Plains Transportation Institute (UGPTI) Center for Surface Mobility Applications & Real-time Simulation environments (SMARTSeSM). | en_US |
| dc.date.accessioned | 2022-06-03T20:34:13Z | |
| dc.date.available | 2022-06-03T20:34:13Z | |
| dc.date.issued | 2022 | |
| dc.identifier.uri | https://hdl.handle.net/10365/32677 | |
| dc.subject | Geographical information system. | en_US |
| dc.subject | Vehicle miles traveled. | en_US |
| dc.subject | Level of service. | en_US |
| dc.subject | Exploratory spatial data analysis. | en_US |
| dc.subject | Spatial autocorrelation. | en_US |
| dc.identifier.orcid | 0000-0002-3866-4844 | |
| dc.identifier.orcid | 0000-0003-3743-6652 | |
| dc.identifier.citation | Hungness, Derek and Raj Bridgelall. "Exploratory Spatial Data Analysis of Traffic Forecasting: A Case Study." Sustainability, DOI:10.3390/su14020964, 14(2), 964, January 2022. | en_US |
| dc.description.uri | https://www.ugpti.org/about/staff/viewbio.php?id=79 | |
| dc.language.iso | en_US | en_US |
| dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | |
| dc.contributor.organization | Upper Great Plains Transportation Institute | |
| ndsu.college | College of Business | |
| ndsu.department | Transportation and Logistics | |
| dc.identifier.doi | 10.3390/su14020964 | |
