An integrated approach of multiple correspondences analysis (MCA) and fuzzy AHP method for occupational health and safety performance evaluation in the land cargo transportation

Land cargo transportation is one of the components of the logistics chain with high impact on economic and social development worldwide. However, problems such as top logistics costs, deficiencies in transportation infrastructure and the failure to adopt good operating practices in aspects such as quality, environment, and occupational safety and health affect the ability of companies to comply with the agreements, requirements, and regulations of the clients and other interested parties. One of the most relevant problems for the sector is associated with the high accident rates that make this medium less advantageous compared to other means of transport with impact on operational costs, on logistics indicators, on compliance with legal regulations and customer satisfaction. However, although there are legal standards and management standards in occupational safety and health, evaluating performance can become a difficult and subjective process, due to the complexity of the land cargo transportation and the different interest groups involved. Besides, there is little information in the literature that provides solutions for the industry. Therefore, this document presents an integrated approach between multi-criterion decision making models (MCDM) and the Multiple Correspondences Analysis (MCA) to facilitate the evaluation and improvement of occupational health and safety performance, with a logical process, objective, robust and using both qualitative and quantitative techniques, with real application in the land cargo transportation sector. First, the multivariate method of Multiple Correspondences Analysis (MCA) was used for the evaluation of a sample of companies in the industry, considering the factors and sub-factors identified in the first stage and performing correlational analyzes among the variables. Subsequently, a multicriteria decision-making model was designed to determine the factors and sub-factors that affect occupational health and safety performance through the technique of the Fuzzy Analytic Hierarchy Process (FAHP). Finally, improvement strategies are proposed based on the approaches suggested in this document

Explorative analysis of vehicular movement patterns using RFID-based transport data : an eulerian perspective

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 study reveals the efficacy of the usage of massive RFID data, which uses a eulerian perspective of movement for determining spatiotemporal patterns for traffic analysis. The study revealed morning peak and evening peak vehicular movements, for weekdays with Thursdays and Fridays displaying the most vehicular movements. Spatial patterns revealed a clustering of low and high vehicular counts for weekdays, weekends, off-peak and peak hours. This explorative study using RFID technology to determine spatial and temporal patterns in vehicular counts has important application for traffic analysts. This study approach supports traffic congestion monitoring, traffic flow statistics and traffic planning as well as helps to determine low and high traffic locations to evaluate the performance of a traffic system

Designing and evaluating road safety advertising campaigns

This chapter defines what road safety advertising campaigns are and the objectives that they typically seek to achieve. The argument put forward in this chapter is that when theoretically-informed in their design and sensitive to the array of potential personal, social, and cultural influences which may be at play, road safety advertising can contribute to both reinforcing and transforming contemporary traffic safety culture. This chapter offers guidance to researchers and practitioners in the field regarding relevant theory which may be applied to inform message design and evaluation