Search Results (37)

This study investigates the factors influencing school trip mode choice among senior high school students in the Chiang Rai urban area, Chiang Rai, Thailand, under normal and adverse weather conditions. Utilizing data from 472 students across six extra-large urban schools, a Multinomial Logit (MNL) regression model was applied to examine the effects of socio-demographic attributes, household vehicle ownership, travel distance, and spatial variables on mode selection. The results revealed notable modal shifts during adverse weather, with motorcycle usage decreasing and private vehicle reliance increasing, while school bus usage remained stable, highlighting its role as a resilient transport option. Car ownership emerged as a strong enabler of modal flexibility, whereas students with limited access to private transport demonstrated reduced adaptability. Additionally, increased waiting and travel times during adverse conditions underscored infrastructure and service vulnerabilities, particularly for mid-distance travelers. The findings suggest an urgent need for transport policies that promote inclusive and climate-resilient mobility systems, particularly in the context of Chiang Rai, including expanded school bus services, improved first-mile connectivity, and enhanced pedestrian infrastructure. This study contributes to the literature by addressing environmental variability in school travel behavior and offers actionable insights for sustainable transport planning in secondary cities and border regions. Full article

This study investigates the factors affecting the choice of school travel mode among students in Mersin, Türkiye, focusing on walking, private car, public transit and school bus. A two-step modeling approach was adopted. First, a latent class cluster analysis (LCCA) was applied to identify subgroups of students with similar characteristics. Then, separate multinomial logit (MNL) models were estimated for each cluster. The data come from the 2022 Urban Transport Master Plan household survey and include 2798 students from 2092 households. The results show that trip distance is the most consistent and significant factor across all clusters, as increasing distance makes students more likely to use motorized modes instead of walking. Gender also demonstrates a consistent influence in specific clusters, where male students are less likely to travel by private car. Similarly, residing in a single-family house consistently increases the likelihood of car use in multiple clusters. Conversely, the influence of household structure, parental education, income, and household size differs significantly between clusters, underlining the importance of considering group-level differences in school travel behavior. These findings suggest that policies aiming to promote sustainable school travel should be sensitive to the needs of different student groups. Integrating land use and transportation planning may help to support active and shared modes of travel. Full article

Given the importance of youth mental health for public policy, it is crucial to involve young people directly in participatory research to investigate their views and translate their demands into concrete actions. The aim of the study was to define the concept of mental wellbeing as perceived by a group of adolescent and young adult patients in two large hospitals in northwestern Italy and to find out, together with them, what institutions can do to promote youth wellbeing. Thirty-nine participants (13–25 years old, 90% female), divided into four groups, took part in a Photovoice workshop. Individual interviews were conducted with 21 participants and the transcripts were thematically analyzed. The photos were categorized into five themes: nature, traveling, passions and leisure, relationships, and animals. The definition of mental wellbeing can be traced back to eight themes: sharing experiences and emotions with others, calm and tranquility, personal fulfilment, sense of belonging, pleasant physical sensations, freedom and discovery, involvement and commitment, and happiness. The key recommendations for promoting mental wellbeing were providing information about mental health, tackling the stigma of mental illness, and providing psychological support in school and health services. The implications of these findings for policy makers involved in planning health services for young people are discussed. Full article

(1) Research Highlights: Existing studies primarily focus on the supply-side evaluation of urban forest accessibility, emphasizing physical proximity while often overlooking real-time usage patterns and demographic-specific exposure. This study shifts the focus to social exposure, analyzing how diverse population groups interact with urban forests across different times of the day, integrating dynamic accessibility metrics. (2) Background and Objectives: Unlike previous research that predominantly assessed urban forest accessibility through conventional models based on static spatial proximity, this study incorporates spatiotemporal population distribution data to capture actual utilization patterns. By introducing a dynamic, exposure-based framework, this research aims to facilitate equitable and temporally sensitive access to green spaces across diverse demographic groups. (3) Materials and Methods: This study focuses on Seoul, South Korea, and applies the Gaussian-based Two-Step Floating Catchment Area (G2SFCA) methodology to assess urban forest accessibility. Living population data (2021–2024) from mobile telecommunications sources were used as demand indicators, while OpenStreetMap (OSM) green space data were utilized as supply indicators. Realistic travel distances were calculated using OSM pedestrian networks and Dijkstra’s algorithm, incorporating slope effects and distance decay functions. A K-means clustering algorithm was applied to classify four distinct exposure types based on demographic and temporal variations. (4) Results: The findings reveal significant disparities in urban forest exposure based on age group and time of day. Four major urban forest exposure patterns were identified: Type A—school-age children, with peak usage around midday; Type B—working-age adults, frequenting mid-sized urban forests during commuting and leisure hours; Type C—elderly individuals, utilizing large-scale urban forests and neighborhood parks mainly in the morning; Type D—young adults, engaging with small urban parks and rest areas at various times. (5) Conclusions: Urban forest management must move beyond the quantitative expansion of green spaces and instead implement customized policies that optimize accessibility and equitable distribution based on distinct temporal and demographic patterns of social exposure. By integrating real-time urban mobility data into urban forest planning, policies can better align green space supply with actual usage, fostering a more equitable, data-driven, and sustainable urban green infrastructure. Full article

Since adolescents are the adults of tomorrow, they are key players in increasing climate change awareness and the adoption of environmentally friendly transportation. Therefore, it is essential to understand the current and future transportation choices of adolescents in order to provide sustainability guidance to schools and communities. To this aim, a questionnaire based on the Theory of Planned Behavior was administered at school to 382 Brazilian students with an average age of 16.36 years. Regarding the results on current transportation choices, students attending public schools commute more often without adult supervision than those attending private schools and tend to travel in a more environmentally friendly manner. In terms of future transportation choices, attitudes, subjective norms, and active participation in environmental groups have a significant impact on adolescents’ intentions to choose a more sustainable mode of transport to get to work in 15 years’ time. Taking into account the socio-economic level, the results are discussed in terms of the need for awareness raising, such as education for sustainable development, and possible interventions to encourage more environmentally friendly transport choices. Full article

This research aims to estimate the purposes for which bike-share users utilize shared bicycles from bike-sharing companies using selected predictors through multinomial logistic regression in Slovakia. The study seeks to provide a novel perspective on alternative transportation by addressing a gap in existing research, which has not previously focused on modeling the specific purposes of bicycle use. The final sample comprises 162 bike-share users out of more than 300 respondents. The results show that social status, bike-sharing company, and average distance are statistically significant input variables. Finally, we find that using shared bikes for recreation is more typical for employees with a traveled distance of up to 3 km from one of the two bike-sharing companies compared to the reference group (commuting to school). The paper contributes to better planning and management of bike-sharing systems. Full article

With the advancement of child-friendly urban planning initiatives, the significance of Active School Travel Spaces (ASTSs) in shaping urban development and promoting the physical and mental well-being of children has become increasingly apparent. This research focuses on 151 public primary schools in the central urban area of Lanzhou City. Utilizing the Amap pedestrian route planning API, we establish a walking route network, evaluate the paths using spatial syntax and street view recognition methods, and analyze their influencing factors using a Geographic Detector model. The results show the following: ① The overall friendliness of ASTSs in Lanzhou City is moderate, with 44% of school districts exhibiting low friendliness. ② The distribution of child friendliness in ASTS exhibits a “core-periphery” pattern. Anning District demonstrates higher friendliness compared to Chengguan District and Qilihe District, while Xigu District exhibits the lowest level of friendliness. ③ Different levels of friendliness have different tendencies for access, safety, and comfort. A high degree of friendliness favors comfort. Low friendliness has the lowest requirements for safety and comfort. ④ Population density and transportation convenience exert a significant positive impact on friendliness, while the size of the school district and the centrality of schools have a negative impact. The synergistic effects among these influencing factors notably enhance the explanatory power of friendliness. Full article

In seeking sustainable, safe, and efficient school commuting tours as non-recurring sources of congestion, it is essential to investigate the dynamic interaction between school students’ pick-up and drop-off (P&D) movements and the traffic operational performance of the surrounding area. This study investigates the traffic operational performance in the vicinity of schools at various P&D time intervals. The Travel and Planning Time indices (TTI, PTI), along with the Level of Service (LOS) are utilized as traffic operational performance indices in this article. A Python script was developed to employ the Google API for estimating the travel times from a real traffic dataset comprising 40 schools distributed across six cities in the Kingdom of Saudi Arabia (KSA). The results indicate that LOS varies from C to D for all cities except Riyadh, which exhibits the poorest traffic performance during P&D time intervals. This paper serves as a guideline for city planners and policymakers seeking to provide valuable insights to enhance traffic operational performance in Saudi Arabia. Full article

Active mobility to school (AMS) has been identified as a pivotal element in promoting health and physical activity during childhood, adolescence, and beyond. However, the importance of AMS is often downplayed or disregarded in urban and transportation planning, especially in Latin American cities. Factors such as cultural and political dynamics, socioeconomic conditions, urban and social environments, household and individual characteristics, and parental perceptions and attitudes collectively shape the mobility behavior of schoolchildren. This research analyzes the outcomes of a study on AMS at public schools in Cuenca and Ibarra (Ecuador), through the lens of the Socio-Ecological Model framework. The findings show that 47% of students from schools in Cuenca and 26% from Ibarra engage in active commuting to school for at least part of their journey. Key factors correlated with AMS include gender (individual dimension), travel duration, household socioeconomic characteristics, and parental attitudes towards active mobility (household dimension), as well as street-level attributes and land use density surrounding schools (urban environment dimension). This study offers three significant contributions: a detailed portrayal of student mobility behavior at six public schools in Cuenca and Ibarra, an exploration of the factors linked with active commuting, and a methodology for estimating land-use parameters. Full article

Basic education pursues “balance” and “quality” under the premise of “universalization”. High-quality and balanced education is the general strategy of international education. We used urban network tools to measure the spatial equity of three types of basic educational facilities (kindergarten, primary school, and middle school) in the main urban area of Lanzhou City, China, from the perspective of supply and demand. This can optimize the allocation of educational facilities, and make up for the shortage of basic educational facilities. It can also provide a scientific reference and new ideas for research on public service facilities. The conclusions are: (1) The distribution of basic educational facilities presented a typical pattern of belt-shaped clusters, river trends, and dense east and sparse west. The spatial dislocation between facilities and residential buildings was significant and occurred in numerous instances. (2) The supply of basic educational facilities was weak. There were significant differences in spatial accessibility among different types and regions. The spatial accessibility of kindergartens (34.83%) was the best with regard to walking conditions, followed by primary schools (27.43%) and middle schools (21.11%). (3) The distribution of basic educational facilities was affected by factors such as historical development, natural geography, social economies, and the travel behaviors of residents; (4) It is necessary to improve the problem of spatial imbalance through the implementation of refined planning management and resource allocation of infrastructure, the construction of a “community life circle”, and the establishment of an early warning mechanism for academic degree attainment combined with big data. Full article

A child’s ability to participate in active school travel (AST) is complicated by several factors. Of particular note are parental controls, which are informed by their perceptions of the local built and social environments, assessments of their child’s skills, and convenience preferences, among other considerations. However, there is currently a lack of AST-specific scales that include validated parental perception measures related to such notable barriers and enablers, or those that tend to frame their AST decision-making processes. Framed within the social-ecological model of health behaviour, the aims of the present paper were thus threefold, specifically to (1) outline and test the construct validity of measures delineating parental perceptions of barriers and enablers to AST, (2) evaluate the reliability and consistency of the developed measures, and (3) connect these measures to develop broader constructs for use in the Perceived Active School Travel Enablers and Barriers–Parent (PASTEB–P) questionnaire. To achieve these aims, a mixed-methods approach featuring cognitive interviews and surveys, along with qualitative (thematic analysis) and quantitative (Cohen’s Kappa, McDonald’s Omega, and confirmatory factor analysis) analyses, was applied across two studies. The validation processes of the two studies resulted in the development of fifteen items comprising seven distinct constructs (barriers: AST Skills, Convenience, Road Safety, Social Safety, and Equipment Storage; enablers: Supportive Environment and Safe Environment) related to parental perceptions of AST. The developed PASTEB–P questionnaire can be used to inform and evaluate AST intervention programming and can be applied for AST research purposes. Full article

Cycling has always been popular in China, especially during the years when the government encouraged green travel. Many people participate in rides to ease traffic congestion and increase transfer convenience. Due to the disorganized and tidal nature of cycling, cyclists create many conflicts with other groups. Adolescents are vulnerable road users with a strong curiosity and risk-taking mindset. Identifying the factors influencing adolescents’ aggressive riding behavior can assist in developing strategies to prevent this behavior. An online questionnaire was used to collect data on bicycling among students in a middle school in Guangzhou, China. The theory of planned behavior (TPB) and prototype willingness model (PWM) have been applied to study travel behavior and adolescent risk behavior. To investigate the impact of psychological variables on adolescent aggressive behavior, we used TPB, PWM, TPB + PWM, and an integrated model. Behavioral intentions are greatly influenced by attitudes, subjective norms, and perceived behavioral control. Both descriptive and moral norms played a role in behavioral willingness. The integrated model explained 18.3% more behavioral variance than the TPB model. The social reactive pathway explained more variance in behavior than the rational path. Full article

At the beginning of 2020 there was a spinning point in the travel behavior of people around the world because of the pandemic and its consequences. This paper analyzes the specific behavior of travelers commuting to work or school during the COVID-19 pandemic based on a sample of 2000 respondents from two countries. We obtained data from an online survey, applying multinomial regression analysis. The results demonstrate the multinomial model with an accuracy of almost 70% that estimates the most used modes of transport (walking, public transport, car) based on independent variables. The respondents preferred the car as the most frequently used means of transport. However, commuters without car prefer public transport to walking. This prediction model could be a tool for planning and creating transport policy, especially in exceptional cases such as the limitation of public transport activities. Therefore, predicting travel behavior is essential for policymaking based on people’s travel needs. Full article

Today, few children walk or bike to school. According to the National Household Travel Survey, only 11% of children walk or bike to school. In 1969, almost 50% of children walked or biked to school in the US. Although our understanding is limited, previous research has shown that physical environments can influence non-automobile mode choices for travel to school. For example, landscape buffers and trees affect parents’ perceptions of their children’s safety and increase their willingness to let their children walk to school. We investigated how a number of physical attributes in the pedestrian environment influence children’s commutes to school. A total of 186 parents from four school walk zones in College Station, TX, participated in this study. We found that children walked more in neighborhoods with mature trees. Moreover, the mean walking and biking distances differed from each other, and both were influenced by the location of the school within the walk zones. Concerns about traffic safety and convenience were negatively related to walking and biking. The findings here suggest ways to shape better school walk zone guidelines that include neighborhood design, planning, and engagement in support of active and healthy children. Full article

By using Citespace, an information visualization software, this paper analyses the hot content and evolution trend of China’s out-of-school education research in the last twenty years. The results show that the research hot spots in this field include the value and status of out-of-school education, the planning and institutional setup, and the policy and governance of out-of-school education. The hot spots in the weakening trend are leisure education and Children’s Palace, while the research frontiers in the increasing trend are quality education, Youth Palace, and research travel. China’s out-of-school education research should further consolidate the theoretical foundation of out-of-school education, pay attention to the research on the influence of out-of-school education, use information technology to carry out out-of-school education and evaluation, pay attention to the combination of qualitative analysis and quantitative research of out-of-school research, and improve the research validity. Only when the research results are rich and scientific can we achieve the goal of sustainability. Full article