Emerging urban parcel delivery (UPD) modes are anticipated to decrease surface UPD truck trips and stops, thus leading to less exposure of UPD trucks on surface roads and reduced UPD crashes. This paper evaluated the safety impacts of innovative last-mile delivery strategies in urban areas. The geographically weighted negative binominal regression (GWNBR) model was developed at zone levels based on the roadway, traffic, and demographic data collected in Hillsborough County, Florida. Future UPD scenarios were projected for coming years (2030, 2040, and 2050) with different replacement rates (10%, 30%, and 50%) of UPD truck stops by emerging UPD modes. The developed GWNBR model was used to predict UPD crashes for future scenarios. The results indicate that emerging UPD technologies cause a decrease in delivery truck stops and reduce UPD crashes by 3%, 11%, and 20% for 2030, 2040, and 2050, respectively.
Safety Benefits of Parcel Delivery Modes Using Geographically Weighted Negative Binominal Regression
International Conference on Transportation and Development 2024 ; 2024 ; Atlanta, Georgia
2024-06-13
Conference paper
Electronic Resource
English
Transit Ridership Model Based on Geographically Weighted Regression
Transportation Research Record | 2006
|Transit Ridership Model Based on Geographically Weighted Regression
Transportation Research Record | 2006
|Transit Ridership Model Based on Geographically Weighted Regression
Online Contents | 2006
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