The word "commuter" is an American invention. In the 1840s people living in the suburbs could pay a reduced or "commuted" fare to use the trains to get into the cities. The world's worst commute is in Bangkok, Thailand, where people spend about 2 hours a day travelling to and from work. At peak times the average speed of traffic in Bangkok is 7 mph with the total number of vehicles with Bangkok license plates hitting 8.55 million, double the 4.28 registered in 2004. There is hope however as Bangkok during this period has delivered several commuter rail systems. The 15 year old ‘Skytrain’ system has just passed its 2 billionth rider while the 10 year old subway sees 240,000 riders a day. Bangkok’s newest airport ‘rail-link’ system to the suburban international airport while designed for air travelers, has become an access point for suburban commuters. With these three systems however there is no common ticketing system that allows transfer between systems, thus the reason for this paper’s research. Simple Random Sampling was used to obtain questionaries’ from 300 Bangkok commuters in which it was determined that individual decision making has the greatest influence, both directly and indirectly, on the use of a common ticketing system. External variables has the second greatest influence, again both directly and indirectly with a commuter’s personal habits influencing the decision making process in only a limited but direct way.

In 2015, an estimated 1.2 billion people, or 16% of the global population, did not have access to electricity. At the same time, solid waste generation rates have risen fast, reaching 30 million tons in 1980, 200 million tons today, and projected to exceed over 11 million tons per day by 2100. The waste from cities alone is already enough to fill a line of trash trucks 5,000 kilometers long every day. Solutions, therefore, must be found, with Waste to Energy (WtE) conversion a strong contender, which presently represents a $29 billion industry globally. By use of cluster sampling, a sample of 361 individuals was surveyed by use of a 63-item, Likert-type agreement scale questionnaire on the study's four constructs. A confirmatory factor analysis was run prior to the structural equation model, with analysis undertaken by use of LISREL 9.1. All causal factors in the model were shown to have a positive influence on the creation of shared value (CSV) of the waste management power plant and the local community, with 68% of the variance of the factor affecting CSV (R2). Ranked in importance, the three latent variables were government policy (GP), the waste management power plant (WMPP), and community participation (CP), with a total score of 0.83, 0.37 and 0.36, respectively.

The purpose of this research was to examine the variables contributing to Thai legal practitioners' knowledge management abilities. By means of simple random-sampling, the sample of 332 individuals was surveyed using the 72item, 7-level, Likert type agreement scale questionnaire on the study's four constructs. Confirmatory factor analysis was run prior to the structural equation model, with the analysis undertaken in LISREL 9.1. All causal factors in the model were shown to have a positive influence on knowledge management, with 92% variance of the factor affecting knowledge management (KM) (R2). Ranked in importance were communications skills (CSK), competency (COMP), and professionalism (PRO), with the total mean score of 0.96, 0.43, and 0.34, respectively.

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