• Login
    View Item 
    •   Home
    • University of Alaska Fairbanks
    • UAF Graduate School
    • Engineering
    • View Item
    •   Home
    • University of Alaska Fairbanks
    • UAF Graduate School
    • Engineering
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of Scholarworks@UACommunitiesPublication DateAuthorsTitlesSubjectsTypeThis CollectionPublication DateAuthorsTitlesSubjectsType

    My Account

    Login

    First Time Submitters, Register Here

    Register

    Statistics

    Display statistics

    An analysis of vulnerable road user crashes in Alaska using spatio-temporal methods

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Thumbnail
    Name:
    Adhikari_S_2025.pdf
    Size:
    3.497Mb
    Format:
    PDF
    Download
    Author
    Adhikari, Santosh
    Chair
    Belz, Nathan
    Committee
    Barry, Ronald
    Farzadnia, Nima
    Keyword
    Cyclist accidents
    Pedestrian accidents
    Traffic accidents
    Traffic safety
    Metadata
    Show full item record
    URI
    http://hdl.handle.net/11122/16240
    Abstract
    This study presents a two-part investigation into the spatial patterns of crashes and safety of vulnerable road users (VRUs). VRUs, cyclists and pedestrians in this context, represent approximately 18% of traffic fatalities in Alaska annually. However, existing studies on VRU safety in Alaska are limited and causal factors and effects of safety projects are not well understood making it difficult to implement targeted and strategic approaches to improve VRU safety. To that end, the objectives of this research are two-fold: 1) analyze spatial interactions of VRU crashes involving risk tolerant behaviors; and 2) evaluate the effectiveness of Highway Safety Improvement Program (HSIP) projects in achieving VRU safety outcomes. First, risk-tolerant behaviors among VRUs, namely alcohol consumption, suspected drug use, and lack of safety gear, are considered using Anchorage as a case study. Network-based spatial methods such as kernel density estimation, nearest neighborhood and K-function analysis, along with other network functions were employed to identify crash clustering and spatial dependencies. Results suggest statistically significant clustering is exhibited by crashes involving alcohol or drug use for both cyclists and pedestrians. Results also revealed spatial dependence between cyclist crashes and pedestrian crashes for the same risk-tolerant behaviors. Moreover, crashes involving cyclists who were not wearing helmets or safety gear exhibited significant spatial clustering. Second, explicit and implicit safety benefits of HSIP projects were evaluated using a before-after approach to determine the extent to which safety projects were successful in reducing crashes. Frequency and injury severity for VRUs. The analysis found mixed results. Some projects and project types demonstrated clear safety benefits while others showed neutral or negative outcomes. Additionally, VRU-specific project types were found to have more explicit safety benefits for cyclists than they did for pedestrians and that non-VRU specific project types seemed to exhibit more implicit safety benefits for pedestrians when compared to cyclists. These findings offer valuable insights for improving VRU safety in Alaska and serve to better inform the HSIP process including more robust methods for network safety screening, introduces new variables for consideration in the project selection process, and presents a more comprehensive approach for post-project evaluation.
    Description
    Thesis (M.S.) University of Alaska Fairbanks, 2025
    Table of Contents
    Chapter 1: General introduction -- 1.1 Background and motivation -- 1.2 Contributing factors and existing countermeasures -- 1.3 Objectives and structure of thesis -- 1.4 Author's disclaimer -- 1.5 References. Chapter 2: Network-based analysis of vulnerable road user crashes involving risk-tolerance behaviors -- 2.1 Abstract -- 2.2 Introduction -- 2.3 Data and methodology -- 2.3.1 Identification of hotspots -- 2.3.2 Significance of the detected hotspots -- 2.3.3 Spatial dependencies -- 2.4 Results and discussion -- 2.4.1 NKDE -- 2.4.2 NND -- 2.4.3 NKF -- 2.4.4 Network cross NND and network cross K-function -- 2.5 Conclusion -- 2.6 References. Chapter 3: Quantifying safety benefits of highway safety improvement program projects for vulnerable road users -- 3.1 Abstract -- 3.2 Introduction -- 3.2.1 Background -- 3.2.2 Motivation -- 3.2.3 Objectives -- 3.3 Data -- 3.3.1 HSIP data -- 3.3.2 Crash data -- 3.4 Methodology -- 3.4.1 HSIP and crash data linkages -- 3.4.2 Before-after crash analysis -- 3.5 Analysis and results -- 3.6 Conclusion -- 3.7 References. Chapter 4: General conclusions -- 4.1 Future research recommendations.
    Date
    2025-08
    Type
    Thesis
    Collections
    Engineering

    entitlement

     
    ABOUT US|HELP|BROWSE|ADVANCED SEARCH

    The University of Alaska is an affirmative action/equal opportunity employer, educational institution and provider and prohibits illegal discrimination against any individual.

    Learn more about UA’s notice of nondiscrimination.

    Open Repository is a service operated by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.