Potential transfer of motorcycle mode to BRT Trans Semarang for students to campus in Semarang city

The movement of students requires means of a comfortable preferred mode of transportation with a high level of satisfaction. The aim of this research is to identify the characteristics of student trips in the city of Semarang, and to find out the factors for the transfer of motorcycleuse to the Trans Semarang BRT, and to determine steps to improve the choice of transportation modes for the Trans Semarang BRT. The study population was students of Universitas Diponegoro, Universitas Negeri Semarang and Universitas Islam Negeri Walisongo. The sample was taken using a quota sampling technique, and the data was collected using a questionnaire. The results showed that the average trip frequency was one time per day, the average distance traveled was 5-6 km. Travel time is 20-29 minutes for motorcycleusers and 30-39 minutes for BRT Trans Semarang users. On the reason for choosing the mode there is a difference where students choose the motorcycle mode due to speed and practical factor, while students choose the BRT Trans Semarang mode because it is cheap. The dominant factor affecting the transfer of motorcycle to the Trans Semarang BRT towards the campus of students in the city of Semarang is that if on the way from the bus stop to the final destination there is no need to change transportation, there is a Passenger Information System at each stop, and a maximum waiting time of 5 minutes. Increasing the travel time is a step to improve the choice of transportation mode for the Trans Semarang BRT.

Car Use of the Carless in Sweden: Everyday Life Conditions for Reducing Car Dependence

For the sake of reducing car dependence, much can be learned from non-car owners about how everyday life can, and cannot, be organized without private car ownership. This study aims to explore carless mobility, including the role of the car, in relation to specific everyday projects and life situations. We do so through a descriptive analysis of data from the Swedish National Travel Survey 2011–2016, comparing carless mobility with that of car owners. Theoretically, our analysis builds on a constraints perspective with respect to mobility, which is rooted in time geography. We find that the constraints associated with activities and life situations seem to matter for how mobility is performed and for the feasibility of living a carless life. Managing the material flows of the household (for example, buying food and disposing of waste) is a project handled differently by non-car owners, through using nearby services and with a low degree of car use. On the other hand, our data suggest that maintaining social relations is car dependent and can potentially be more problematic for the carless. Moreover, an individual’s social network itself seems to be an important source of occasional car access. Results also indicate that the life situations of individuals may affect the mobility implications of carlessness, and the largest effect on trip frequency is found among carless retirees. From a planning perspective, and with the ambition to reduce private car use, this study identifies significant value in considering the different contexts of everyday life in which car use may or may not occur.

What Factors Affect Commuters’ Utility of Choosing Mobility as a Service? An Empirical Evidence from Seoul

Mobility as a Service (MaaS), which integrates public and shared transportation into a single service, is drawing attention as a travel demand management strategy aimed at reducing automobile dependency and encouraging public transit. In particular, there have been few studies that recognize traffic congestion during peak hours and identify related factors for practical application. The purpose of this study is to explore what factors affect Seoul commuters’ mode choice including MaaS. A web-based survey that 161 commuters participated in was conducted to collect information about personal, household, and travel attributes, together with their mode preference for MaaS. A latent class model was developed to classify unobserved latent groups based on trip frequency by means and to identify factors influencing mode-specific utilities (in particular, MaaS service) for each class. The result shows that latent classes are divided into two groups (public transit-oriented commuters and balanced mode commuters). Most variables have significant impacts on choice for MaaS. The coefficient of MaaS choice of Class 1 and Class 2 were different. These findings suggest there is a difference between the classes according to trip frequency by means as an influencing factor in MaaS choice.

FUNCTIONALITY AND PERFORMANCE OF THE GIRL CHILD STUDENT TRANSPORTATION PROGRAM IN KANO METROPOLIS

This study evaluates the performance of the Girl Child Student Transportation Program in Kano Metropolis. Data used for this study was obtained through questionnaire administration to the passengers that patronized the Girl Child Student Transportation Program. Purposive sampling technique was employed in the selection of respondents and 235 copies of questionnaire were administered to the respondents and 223 were retrieved and used in the data analysis. The study employed the use of both descriptive and inferential statistical methods of data analysis. The findings showed that 62 (53.9%) of the buses are used for the program are fully functional, 29 (25.2%) of the buses are partially functional and 24 (20.9%) of the buses are grounded. The result of the linear regression analysis revealed with inferential evidence that, only seating capacity has a significant relationship with the patrons’ trip frequency out of the various service quality determinants. The paper recommends that the management of the Girl child student transportation program needs to design a frame work that will guide the seating arrangement of the bus service in order to achieve the desire goal of the program

Beyond Neighborhood Design: Exploring the Effects of Smart Growth on Older Adults’ Travel Behavior over Time

Previous studies mainly substantiate the influence of neighborhood design on older adults’ travel behavior. This study goes beyond and examines how smart growth affects older adults’ travel behavior over time in the central Puget Sound. Using regression models for the years 1999, 2006, and 2014, we find that smart growth factors have significant but changing effects. The regional growth centers play a growing role in reducing older adults’ travel distance, trip frequency, and promoting non-car commuting modes. This study adds to the knowledge of how older adults’ travel behavior can be affected by the multilevel and long-term urban development strategies.

Mapping travel behavior changes during the COVID-19 lock-down: a socioeconomic analysis in Greece

Background COVID-19 pandemic is a challenge that the world had never encountered in the last 100 years. In order to mitigate its negative effects, governments worldwide took action by prohibiting at first certain activities and in some cases by a countrywide lockdown. Greece was among the countries that were struck by the pandemic. Governmental authorities took action in limiting the spread of the pandemic through a series of countermeasures, which built up to a countrywide lockdown that lasted 42 days. Methodology This research aims at identifying the effect of certain socioeconomic factors on the travel behaviour of Greek citizens and at investigating whether any social groups were comparatively less privileged or suffered more from the lockdown. To this end, a dynamic online questionnaire survey on mobility characteristics was designed and distributed to Greek citizens during the lockdown period, which resulted in 1,259 valid responses. Collected data were analysed through descriptive and inferential statistical tests, in order to identify mobility patterns and correlations with certain socioeconomic characteristics. Additionally, a Generalised Linear Model (GLM) was developed in order to examine the potential influence of socioeconomic characteristics to trip frequency before and during the lockdown period. Results Outcomes indicate a decisive decrease in trip frequencies due to the lockdown. Furthermore, the model’s results indicate significant correlations between gender, income and trip frequencies during the lockdown, something that is not evident in the pre-pandemic era.

Investigating the Role of Transportation Barriers in Cancer Patients’ Decision Making Regarding the Treatment Process

Transportation barriers to healthcare access may lead to rescheduled or missed appointments, thereby influencing patients’ treatment outcomes. However, the impact of transportation barriers on stopping cancer treatments remains unknown in the literature. This study aims to investigate the association between cancer patients’ travel behavior and their decisions about stopping or continuing treatments. In this study, an online survey was designed and conducted for cancer patients who received radiotherapy and chemotherapy. Comprehensive questions were asked to reveal personal- and treatment-related factors that affect participants’ decisions, including their travel behavior, travel burden, treatment characteristics, and side effects. With data collected from the survey, machine learning models were further employed to quantitatively assess the factors contributing to patients’ decision making. Results suggest that lack of access to transportation has a significant impact on cancer patients’ decisions with respect to stopping or continuing treatments. Limited access to private vehicles will likely lead to the stopping of radiotherapy. In addition, trip frequency and trip length to caregivers influence the patients’ continuing or quitting chemotherapy. Insights generated in this study have great potential to help policy makers and planners make informed decisions to enhance cancer patients’ access to treatments and improve their health outcomes.