Keneth Kwayu

• PhD
• Sr. Engineer/Data Scientist at Transcend Engineering

Traditional methods for measuring bicycle volume have proven to be challenging and costly, especially when planning for non-motorized facilities at network level. One potential enhancement to traditional bicycle volume measurement methods is to use crowdsourced cycling data in conjunction with other data. This study explored the potential of incorp...

The present study examined State of Michigan Traffic Crash Reports filed between 2015 and 2019 to explore the interaction between age and liability for crashes at stop-sign-controlled intersections. A driver’s liability for a crash was derived from the “Hazardous Action” field in each crash report. The likelihood of assigning liability to an elderl...

In the United States, the Model Inventory of Roadway Element (MIRE) provides a comprehensive list of data that are needed to support states’ data-driven safety programs. The intersection control is part of the MIRE Fundamental Data Elements (FDE) for which state Departments of Transportation are required to complete the collection by September 30,...

Cycling is an eco-friendly and sustainable mode of transportation. Despite its benefits, the cyclists’ risk of collision is still high when interacting with other road users. This study analyzed self-reported near-miss and collision event descriptions for the United States provided by the crowdsourcing platform, BikeMaps.org. Innovative and efficie...

As the distance learning process has become more prevalent in the USA due to the COVID-19 pandemic, it is important to understand students’ experiences, perspectives, and preferences. Our study's purpose is to reveal students’ perspectives and preferences on distance learning due to the dramatic change that happened in the education process. Wester...

The surge of crowdsourced cycling data from various fitness tracker apps has attracted the attention of transportation planners as it has the potential to provide rapid, cheaper, and high-resolution data for the planning of cycle infrastructure. However, much has been asked on whether the data coming from these fitness tracker apps represent the de...

The proliferation of digital textual archives in the transportation safety domain makes it imperative for the inventions of efficient ways of extracting information from the textual data sources. The present study aims at utilizing crash narratives complemented by crash metadata to discern the prevalence and co-occurrence of themes that contribute...

As the online learning process has become more prevalent in USA due to COVID-19 pandemic, it becomes particularly important to understand students' experiences, and most important revealing their perspective and preferences. The purpose of this study is to reveal students' perspective and understand their preferences on distance learning at Western...

The lack of pedestrian counts at a systemwide level prompts the need to find other innovative ways of assessing pedestrian traffic crash risks using proxy measures of exposure. This study aims to formulate the methodology for developing pedestrian safety performance functions (SPF) using the proxy measure of pedestrian exposure and stratified rando...

Objectives: The main objective of this study was to assess the change in crash patterns associated with speed limit changes from 55 mph to 70 mph that occurred on some of Michigan freeway segments between year 2005 and year 2010. Method: Many of the statistical methods used in the past to evaluate the safety impacts of raising the speed limit on f...

In the United States, it is common for crash reports to include a narrative that contains a police officer’s written summary of the crash. The crash narratives provide valuable information that can assist in understanding circumstances surrounding a crash at a given roadway location. However, the crash report narratives contain unstructured textual...

The present study intends to augment existing knowledge on pedestrian crossing behavior at non-intersection areas by analyzing crash data. The crash analysis was pivoted on the age and gender of an at-fault pedestrian who was involved in a crash when crossing the road at an undesignated midblock area. Pedestrian-vehicle crash information and narrat...

This study aimed to understand the sociocultural dimensions that affect people in engaging with active transportation in their daily lives .Method: A paper-based survey was administered to individuals who commute to and from Samarra University in Iraq for workor studying purposes .Approximately 900 people participated in the survey. Results: The ma...

ABSTRACT: Traffic accidents are among the most critical issues facing the world as they cause many deaths, injuries, and fatalities as well as economic losses every year. Accurate models to predict the traffic accident severity is a critical task for transportation systems. This investigation effort establishes models to select a set of influential...