Tina Wemegah

Transportation has the highest dependence on fossil fuels of any sector and accounts for 37% of carbon dioxide (CO2) emissions. Maritime transportation is responsible for around 940 million tons of CO2 and approximately 3% of global emissions annually. The significant increase in shipping activities around the globe has magnified the generation of toxic pollutants. In recent years, shipping emissions have received significant attention in developed countries due to global climate change, while in developing countries, researchers are making enormous efforts to tackle this catastrophic and pressing issue. This study considers Muhammad Bin Qasim Port (MBQP), Karachi, Pakistan as a case study. This study employed an activity-based or bottom-up approach with a standard procedure to estimate the various anthropogenic pollutants emissions including particular matters (PM10 and PM2.5), nitrogen oxide (NOx), sulfur dioxide (SO2), carbon monoxide (CO), CO2, methane (CH4), non-methane volatil...

The advancement in technology on data capture procedures has overcome many of the challenges associated with data acquisition for transportation studies. The use of Radio Frequency Identification (RFID) technology is increasingly becoming significant in transport application domains where there is the need to track and analyze patterns of vehicles movement. In this paper, we explore the efficacy of RFID technology, a eulerian perspective on movement, to extract spatial and temporal rhythms of vehicular movements in, Nanjing, China for road traffic analysis. Data mining and geo-computation methods were used to mine and extract vehicular movement. The count data, statistical, visual analytics and Geographic Information System (GIS) methods were used to determine spatial and temporal patterns of vehicular movement. Global Moran's I, hot spot analysis and kernel density estimations were the spatial statistical methods used to determine spatial patterns of vehicular movements. The st...

Today, mapping technologies are in the midst of transition, from analogue and analytical to digital. The move to digital is being driven by the desire to increase production capability through computer automation and taking advantage of new methods, procedures and technologies. During the transition, two or more production lines may be run simultaneously with all the associated complexities. The mapping production environment is thus becoming increasingly complex. In the past, there have been many successful introductions and changeovers of technology where the new, typically over a period of time, replaced the old. Is this truly the case for the current move to digital? This project is an attempt to running both digital and analytical photogrammetric mapping production lines in a modern mapping company. The study seeks to generate geospatial data using the two systems in order to find out which of the two can lead to more flexible map production, at a reduced cost and reduced turna...

Road accidents are an important public health concern and speeding is a major contributor. Although, flow theory (FLT) is a valid model for understanding behavior, currently the nature of the roles and interplay, of FLT constructs within the theory of planned behavior (TPB) framework when attempting to explain the determinants of motivations for intention to speed and speeding behavior of car drivers is not yet known. The study aims to synthesize TPB and FLT in explaining drivers of advanced vehicles intention to speed and speed violation behavior and evaluate factors which are critical for explaining intention and behavior. The hypothesized model was validated using a sample collected from 354 fully licensed drivers of advanced vehicles, involving 278 males and 76 females on two occasions separated by a three-month interval. During the first of the two occasions, participants completed questionnaire measures of TPB and FLT variables. Three months later, participants' speed viol...

We are in an advancing stage of data acquisition and an even greater dynamic stage of dealing with big data. Data sizes have evolved over the years from a few kilobytes to Exabyte. The transportation engineer has also been caught up in the big data era and to efficiently analyze this massive data for maximum benefits, various challenges relating to data acquisition, data storage, data cleaning, data analysis and visualization has to be overcome. In this paper, we discuss these challenges and approaches to managing them with respect to massive Radio Frequency Identification data for traffic volume count in Nanjing, China. We recommended software, use analytical and visualization techniques like aggregation, graduated circular symbols and traffic count map to overcome big data challenges to produce peak hour, offpeak hour traffic volume counts and traffic count maps showing locations of low and high volume traffic. The paper, therefore, contributes to the management of big data by transportation engineers for traffic volume and congestion analysis.

The reliability of photogrammetry was assessed in 18 healthy young, white Canadians of each sex. Landmarks were indicated on the face before direct measurement and photography. Of 104 surface measurements taken directly from the head, face, and ears of subjects, 62 could be duplicated on the life-size frontal and left lateral photographs taken from the head in standard position. Of these 62 measurements, 26 were reliable (the same as or differing from the direct measurements by no more than 1 mm or 2 degrees). The greatest number of reliable measurements were of the lips and mouth (7 out of 13), but no ear measurements were reliable. Almost half (9) of the reliable measurements were inclinations. More correct vertical measurements were possible from lateral prints than from frontal views, but many lateral facial measurements from profile prints were distorted. Frontal-view prints gave additional reliable measurements.