THE INFLUENCE OF SOCIOECONOMIC STATUS ON THE MODES CHOICE OF TRANSPORTATION IN MANADO CITY

Good infrastructure and transportation facilities move people and goods take place safely and economically in terms of time and cost. The trips made by people on weekdays or weekends affect environmental conditions in the area. The purpose of this paper is to find out the influence of socioeconomic status on modes choice of transportation both on weekdays and weekends. The study location is in Manado Municipality. There are 3 (three) modes of transportation reviewed, i.e. private cars, motorcycles, and public transportation. Indicators of socioeconomics status of transportation users are age, education, occupation, income, number of family members, and vehicle ownership. Data regarding the modes of transportation and socioeconomic status of travelers were obtained through questionnaire surveys. SEM-AMOS was used to measure the validity and reliability of the data. The probability of the mode choice on weekdays and weekends was analyzed using multinomial logistic regression analysis. The results showed that the socioeconomic status of the traveler has an influence on the mode choice of transportation by 49.2% on weekends and 49.5% on weekdays. Furthermore, the probability of transportation mode choice on weekends is the car by 88.4%, and on weekdays is motorcycles by 71.6%.

Investigating the Use of Active Transportation Modes Among University Employees Through an Advanced Decision Tree Algorithm

Now more than ever, the health and economic benefits of active transportation (AT) are evident and several planning efforts and programs are particularly targeted at improving active transportation options for different populations, such as students and seniors. Administrative employees at universities received less attention in the literature than other population groups.This population spends a lot of time doing sedentary activities and behaviors during their working time. Thus, the present study used a C5 decision tree to examine the usage of university employees’ AT modes when they are out of campus to get to work, shopping, and leisure. The effects of the sociodemographic and living environment of employees on their AT mode choice were also examined. According to the results, walking was the most frequently used mode to get to work and leisure and public transport was the most frequently used mode to get to shopping. Transit station conditions (25), sidewalk availability and coverage (36), and bike path availability and coverage (30) were the most important factors in the use of AT modes by employees to get to work, shop, and leisure, respectively. Furthermore, several decision rules were extracted from the C5 tree, which included combinations of multiple factors.KEYWORDS: Active transportation, mode choice, university employees, trip purposes, C5

Case study on the environmental impact and efficiency of travel

Traveling and possible impact on climate and environment are currently under intense debate, and air travel in particular is often in question due to the use of fossil fuels. Electric propulsion has therefore become very popular but the energy sources for electricity generation should as well be taken into consideration. On the other hand, the social aspect of traveling is usually forgotten and should be also included for a complete sustainability analysis. In this study, the business trip from Stockholm to Bordeaux experienced by airplane and train is analyzed. Though the journey by airplane generated six and a half times more CO2 emissions than the journey by train on a per-passenger basis, this latter resulted in a 35-h journey compared to seven, and a cost up to eight and a half times more expensive than the airplane. The trip is defined as an optimization problem with focus on environmental, economic, and social impact to define acceptable trade-offs. The critical criteria for transportation mode choice were identified as the environment, time and comfort, and a value model for business travel mode optimization is proposed, integrating as well a personal value.

Why don't we bike to the Go? Exploring the potential for cycling to suburban transit stations

This research develops a cycling typology of suburban transit passengers. The primary goal was to identify whether there are specific GO Transit customer segments who may be willing to cycle to the station. Passengers were invited to complete an online survey, which assessed cycling perceptions and current cycling behaviour. A principal component analysis and cluster analysis were used to develop a typology of respondents, which revealed four distinct types of transit riders. All-around cyclists were found to currently cycle to the station, while the remaining three types (recreational cyclists, safety-conscious, and facility-demanding) exhibited varying degrees of interest in cycling. A significant gender difference was observed in the predominantly female safety-conscious type. There was a pervasive perception across the three non-cycling groups that cycling is an impractical way to reach the station. Infrastructure improvements and a shift in perceptions will be essential to increase rates of cycling to stations. Key words: cycling; first/last-mile; suburban transportation; mode choice

Why don't we bike to the Go? Exploring the potential for cycling to suburban transit stations

This research develops a cycling typology of suburban transit passengers. The primary goal was to identify whether there are specific GO Transit customer segments who may be willing to cycle to the station. Passengers were invited to complete an online survey, which assessed cycling perceptions and current cycling behaviour. A principal component analysis and cluster analysis were used to develop a typology of respondents, which revealed four distinct types of transit riders. All-around cyclists were found to currently cycle to the station, while the remaining three types (recreational cyclists, safety-conscious, and facility-demanding) exhibited varying degrees of interest in cycling. A significant gender difference was observed in the predominantly female safety-conscious type. There was a pervasive perception across the three non-cycling groups that cycling is an impractical way to reach the station. Infrastructure improvements and a shift in perceptions will be essential to increase rates of cycling to stations. Key words: cycling; first/last-mile; suburban transportation; mode choice