Active Travel Research Articles

Diverse experiences by active travel for carbon neutrality: A longitudinal study of residential context, daily travel and experience types

Two key goals for sustainable spatial planning are to promote low-carbon travel in daily life and to enhance human wellbeing through diverse human-environment interactions. Yet, the integration of these goals has been underexplored. This study investigates the potential for experiential diversity via active travel in different residential contexts within the Gävle city-region, Sweden. Over 15 months, we collected spatiotemporal data from 165 participants, analyzing 4,362 reported experiences and 13,192 GPS-derived travel trajectories. Our analysis uncovered a significant spatial discrepancy: while the travelled distances to locations of positive experiences typically ranged from 1.5 km to 5 km, active travel predominated only within 1.5 km. This discrepancy persisted across urban, suburban, and peripheral contexts. Although residents in different contexts reported the same types of experiences, urban dwellers travelled about 50 % farther for nature experiences compared with other positive experiences, whereas peripheral dwellers travelled twice the distance for urbanicity experiences compared with other positive experiences. Consequently, urban residents mostly relied on active travel for urbanicity experiences and motorised travel for nature experiences, with the reverse trend observed among peripheral dwellers. These results illustrate the importance of spatial scale for promoting diverse positive experiences via active travel, regardless of residential context. Effective planning strategies may include enhancing environmental diversity near homes and developing infrastructure that favours active over motorised travel for short to moderate distances.

Active life–active mind? Associations between active travel and cognitive functions across the lifespan: a systematic review

Active life–active mind? Associations between active travel and cognitive functions across the lifespan: a systematic review

О перспективах совершенствования правового регулирования и организации публичной власти в сфере туризма в Российской Федерации. Опыт правового моделирования

The publication is dedicated to the issues of raising the quality of the legal regulation and efficiency of the structure and operations of public government authorities in the tourism sphere in the Russian Federation. The article analyzes the main results of law-making activities, studies approaches towards systematization of laws on travel activities and proposals for improvement of public administration in the tourism sphere that have become the basis for corresponding conceptual models.

Travel behaviour changes among post-secondary students after COVID-19 pandemic – A case of Greater Toronto and Hamilton Area, Canada

Recent research has reported travel behaviour changes during the COVID-19 pandemic. Speculatively, these short-term disruptions in travel may lead to new habit formation and longer-term travel behaviour changes among young adults belonging to generations Y and Z. Focusing on post-secondary students within Greater Toronto and Hamilton Area, Canada and using longitudinal data collected in fall 2019 and spring 2022, our exploratory study examined the post-COVID-19 travel behaviour changes and analyzed whether these changes are associated with their socio-demographic characteristics and life events experienced over the course of pandemic. Results show that many public transit users and active travellers (pedestrians and cyclists) switched to cars for commuting post-pandemic. The post-pandemic retention of public transit use was lower compared to cars, while active transportation modes had the lowest post-pandemic retention rate. Some socio-demographic characteristics such as age, living situation, work hours and access to cars were significantly associated with these changes. In terms of life events, students who joined workforce after completion of education between 2019 and 2022 were more likely to shift their commute mode from public transit to cars, implying some influence of this life event on commute mode changes, in addition to pandemic-induced changes. Our findings suggest that the post-pandemic commute mode changes observed among young adults in the GTHA may not be a result of only COVID-19 pandemic and may also be partly associated with important life events that they experienced over the course of pandemic. Future transportation planning and policy implications, and directions for future research have been discussed.

Determinants of Quality of Life for People with Disabilities Using Panel Data Analysis

ABSTRACT This research aims to examine the determinants of the quality of life for people with disabilities using panel data. Through a review of the extant literature, this research proposes five attributes to account for differences in the quality of life for people with disabilities: social participation, cultural activity participation, travel, employment, and stress. For the data collection, this study employed the Panel Survey of Employment for people with disabilities data from 2016 to 2018, which is published by the Korea employment agency. In total, there are 11,467 valid observations available. This study implemented descriptive statistics, correlation matrix, and econometric analysis for the archival data analysis. The results indicate that the quality of life of a person with a disability is enhanced by participation in social, cultural activities, travel, and employment; meanwhile, the quality of life for people with disabilities is negatively influenced by stress. This study presents relevant implications given the results of the data analysis.

Modelling cycling to school in Finland

Active travel to school is an important contributor to the physical activity levels of children and adolescents and the source of many health benefits. In this work, we model cycling to school in Finland. The probability to cycle on a given trip is modelled using a binary logistic regression model based on trip length, average route gradient, the cyclist’s gender, and age. Variables denoting the city regions were also included to account for differences in cycling cultures and infrastructure. In addition, weather variables were added as cycling levels in Finland are highly dependent on the season. Air temperature and the presence of snow were found to reflect well the observed seasonal variations. The observed influence of winter conditions on trip distances and the cycling of girls is also replicated in the model through interaction terms. This model is employed to explore two sustainable mobility scenarios: a scenario where the cycling of girls increases to the same level as that of boys and a scenario where all school children cycle as much as those living in Oulu, Finland’s top cycling region. Our results suggest that it would be possible to increase the number of trips by bicycle and cycled mileage significantly, up to 76 % in the Oulu scenario, even though school children already cycle much more than the general population.

Promoting adolescent girls' active school travel in Ghana: Contextualizing health belief model and theory of planned behavior

In recent years, efforts to promote safer active school travel (AST), i.e., walking and cycling behaviors in girls, have heightened in light of huge gender disparities in micromobility adoption. In developing countries where transport infrastructure is not advanced, and AST adoption is influenced by societal perceptions, theorizing empirical studies will help better explore and understand the travel needs of girls for effective planning. This study investigated the factors influencing AST behaviors of 232 adolescent girls in primary, junior, and senior high schools based in Sunyani Municipality, Ghana. A novel combination of the Health Belief Model and the Theory of Planned Behavior was employed to formulate a conceptual model that was evaluated using SEM-MIMIC modeling. Results revealed that age plays a significant role in AST preferences, with younger girls favoring walking and older girls showing interest in cycling. Interventions can capitalize on this to promote cycling habits during the transition to senior high school. Moreover, environmental attitudes have the most decisive influence on the perceived social benefits of AST, while perceived parental support positively impacts safety self-efficacy. Together with perceived parental support, safety self-efficacy, and distance/accessibility barriers, they significantly influence girls' intentions to use active transportation. Authorities can adopt proposed targeted interventions such as the walking school bus and bicycle train concepts to make AST more attractive to girls.

Excitable dynamics driven by mechanical feedback in biological tissues

Pulsatory activity patterns, driven by mechanochemical feedback, are prevalent in many biological systems. However, the role of cellular mechanics and geometry in the propagation of pulsatory signals remains poorly understood. Here we present a theoretical framework to elucidate the mechanical origin and regulation of pulsatile activity patterns within excitable multicellular tissues. We show that a simple mechanical feedback at the level of individual cells – activation of contractility upon stretch and subsequent inactivation upon turnover of active elements – is sufficient to explain the emergence of quiescent states, long-range wave propagation, and traveling activity pulse at the tissue-level. We find that the transition between a propagating pulse and a wave is driven by the competition between timescales associated with cellular mechanical response and geometrical disorder in the tissue. This sheds light on the fundamental role of cell packing geometry on tissue excitability and spatial propagation of activity patterns.

Study Roadmap Selection Based on the Thermal Comfort of Street Trees in Summer: A Case Study from a University Campus in China

The intensification of the urban heat island effect, characterized by persistent high temperatures in Chinese cities during summer, has led to notable shifts in urban residents’ activity patterns and travel preferences. Given that street trees, as fundamental components of urban road networks, have significant interaction with residents, it is imperative to investigate their thermal comfort impact. This study aims to enhance the comfortable summer travel experience for urban dwellers. Fujian Agriculture and Forestry University (FAFU) was selected as the case study site, with eight street tree species identified as measurement points. The summer solstice (21 June 2023) served as the representative weather condition. Through monitoring temperature and humidity, the study explored the correlation between street tree species, their characteristic factors, and thermal comfort. Utilizing ENVI-met and ArcGIS, the thermal comfort of campus travel routes was assessed, leading to the development of a summer travel guide based on thermal comfort considerations. The research novelty lies in applying a combined ENVI-met 5.0.2 and ArcGIS 10.8 software approach for modelling and visualizing the microclimate, which enables a more precise analysis of the thermal comfort variations of different campus paths, thus improving the accuracy and applicability of the results in urban planning. The findings reveal several points. (1) Different street trees possess varying capacities to enhance human comfort, with Falcataria falcata and Mangifera indica exhibiting the strongest cooling and humidifying effects, whereas Bauhinia purpurea and Amygdalus persica perform the poorest. Additionally, the research confirms ENVI-met’s scientific accuracy and practicality for microclimate studies. (2) The contribution of street trees to the comfort of campus road travel is primarily determined by the Sky View Factor (SVF), which negatively correlates with cooling and humidifying intensity and positively with thermal comfort. (3) During midday, travel comfort conditions on campus roads are better. Based on the thermal comfort assessment, a summer roadmap was created for the campus. In this case, the campus roads indicated by road A are considered the best travel routes in summer, and the roads indicated by roads B and C are considered alternatives for travelling. This practical application demonstrates how theoretical research results can be translated into practical tools for daily commuting and urban planning. It provides data references and empirical cases for the scientific optimization and enhancement of urban roads.

The Association between Rainfall and Taxi Travel Activities: A Case Study from Wuhan, China

Rainfall has a significant impact on urban population mobility, posing great challenges to traffic management and urban planning. An understanding of this influence from multiple perspectives is urgently needed. In this study, we devised a multiscale comparative research framework to explore the spatiotemporal effects of rainfall on taxi travel patterns, aiming to provide a new perspective on the investigation of rainfall’s impact on urban human mobility. More specifically, at the macroscopic scale, we computed taxi travel indicators across the entire study area and used kernel density estimates to observe the spatiotemporal distribution patterns influenced by rainfall. Subsequently, complex traffic networks were constructed by considering urban road intersections as nodes and combined with visualization methods to understand changes in taxi travel patterns visually at the microscopic level. We selected Wuhan City, a typical urban area in southern China with frequent rainfall, as the study area and used meteorological data along with a large volume of taxi spatiotemporal trajectory data for investigation. Results indicated a 4.16% decrease in weekly travel volume due to rainfall, with a 3.96% decrease on workdays and a 4.64% decrease on weekends. However, nighttime rainfall between 19:00 and 22:00 on weekdays increased the demand for taxi travel. Furthermore, the impact of rainfall on weekends exceeded that on workdays, restricting people’s mobility and leisure activities, resulting in reduced travel to recreational tourist spots and commercial pedestrian streets. Rainfall altered residents’ travel preferences to some extent, with more residents choosing taxis during rainy weather, which led to decreased transportation efficiency and increased traffic congestion. These findings contribute to a deeper understanding of the complex relationship between population mobility patterns and the urban ecological environment, providing valuable insights for planning resident travel and taxi dispatching under adverse weather conditions.

Mobility Infrastructures and Health: Scoping Review of studies in Europe.

Movement-friendly environments with infrastructure favouring active mobility are important for promoting physical activity. This scoping literature review aims at identifying the current evidence for links between mobility infrastructures and (a) behaviour regarding active mobility, (b) health outcomes and (c) co-benefits. This review was conducted in accordance with the PRISMA scoping review guidelines using PubMed and EMBASE databases. Studies included in this review were conducted in Europe, and published between 2000 and March 2023. 146 scientific articles and grey literature reports were identified. Connectivity of sidewalks, walkability, and accessibility of shops, services and work are associated with walking. Cycling is positively associated with cycle-paths, separation of cycling from traffic and proximity to greenspaces, and negatively associated with traffic danger. Increased active transportation has a protective effect on cardiovascular and respiratory health, obesity, fitness, and quality of life. Co-benefits result from the reduction of individual motorized transportation including reduced environmental pollution and projected healthcare expenditure. Mobility infrastructure combined with social and educational incentives are effective in promoting active travel and reducing future healthcare expenses. A shift to active transportation would increase both individual and community health and decrease greenhouse gas emissions.

Beyond built environment: Unveiling the interplay of streetscape perceptions and cycling behavior

As an important means of shared micro-mobility, shared bicycles have become a crucial component of urban transportation in China. The impact of the built environment on bicycling has been widely acknowledged. However, can streetscape perceptions influence bicycle-sharing volume (BSV) and supplement the built environment? We first obtained millions of pieces of shared-cycling data from the Shenzhen Open Data Platform and carried out geographical quantification of BSV. As for streetscape, we improved the classification of subjective streetscape perception based on street view images using the k-means clustering algorithm and conducted predictions using XGBoost. Through the application of different regression models, we unveiled the nonlinear spatial interdependencies between BSV and streetscape perceptions as a complement to the built environment. Our findings indicate that greenery, vivid street-front facades, and diverse street facilities can promote BSV. Targeted strategies are proposed for different districts. For instance, urban planners can provide incentives for high-income groups in central urban areas to adopt active travel, and increase the supply of shared bicycles in suburban areas with high building density, particularly in industrial urban villages. As a supplement to the long-term planning recommendations derived from the macro-built environment analysis, an in-depth spatial perception quantitative assessment proffers a human-centric, flexible blueprint for urban street design.

Examining associations between physical activity context and children meeting daily physical activity guidelines: the role of outdoor play, sports, and other organized activities.

Less than one-quarter of US children meet physical activity (PA) guidelines. Understanding the context in which PA occurs and how these contexts may play a role in meeting PA guidelines is an essential step toward developing effective behavioral interventions. The purpose of this study was to examine associations between PA context (sports participation, participation in other organized physical activities, active travel to school, and outdoor play) and the number of days children met PA guidelines in a representative sample of children living in Texas. We analyzed cross-sectional data from a statewide sample of fourth-grade children in Texas who completed the 2019-2020 Texas School Physical Activity and Nutrition (Texas SPAN) survey. The Texas SPAN survey was designed to monitor the statewide prevalence of overweight/obesity among school children and assess habitual self-reported obesity-related behaviors, including diet and PA. Weighted Poisson regression models were employed to examine the associations between PA contexts (sports participation, participation in other organized physical activities, active travel to school, and outdoor play) and the number of days children met PA guidelines, adjusting for sex, race/ethnicity, overweight/obesity, urban-rural status, and economic disadvantage. A total of 16.7% of fourth-grade children met physical activity guidelines every day during the week (mean age = 9.4 ± 0.6 years; female = 48.7, 51.8% Hispanic, mean days meeting PA guideline = 3.6 ± 2.3 days). One in ten (11.2%) children did not meet daily PA guidelines on any day of the week, and 72.1% met them between 1 and 6 days. Participating in sports (b = 0.22, 95%CI:0.14, 0.30), any other organized physical activities (b=0.13, 95%CI:0.017, 0.19), and playing outdoors 1-3 days (b = 0.25, 95%CI:0.04, 0.46) and 4-7 days in the past week (b = 0.77, 95%CI:0.57, 0.97) was significantly and positively associated with the number of days children met PA guidelines. Participating in sports, participating in other organized physical activities, and playing outdoors may beneficially influence the number of days children meet PA guidelines. PA programs should consider these contextual factors and investigate how to promote organized activities and outdoor play effectively and appropriately among children.

Moderation Effects of Daily Behavior on Associations Between Symptoms and Social Participation Outcomes After Burn Injury: A 6-Month Digital Phenotyping Study

ObjectiveTo examine the moderation effects of daily behavior on the associations between symptoms and social participation outcomes after burn injury. DesignA 6-month prospective cohort study. SettingCommunity. ParticipantsTwenty-four adult burn survivors. InterventionsNot applicable. Main Outcome MeasuresSymptoms and social participation outcomes were assessed weekly using smartphone surveys, including symptoms of pain (Patient-Reported Outcomes Measurement Information System [PROMIS] Pain Intensity and Pain Interference), anxiety (PROMIS Anxiety), and depression (Patient Health Questionnaire), as well as outcomes of social interactions and social activities (Life Impact Burn Recovery Evaluation [LIBRE] Social Interactions and Social Activities). Daily behaviors were automatically recorded by a smartphone application and smartphone logs, including physical activity (steps, travel miles, and activity minutes), sleep (sleep hours), and social contact (number of phone calls and message contacts). ResultsMultilevel models controlling for demographic and burn injury variables examined the associations between symptoms and social participation outcomes and the moderation effects of daily behaviors. Lower (worse) LIBRE Social Interactions and LIBRE Social Activities scores were significantly associated with higher (worse) PROMIS Pain Intensity, PROMIS Pain Interference, PROMIS Anxiety, and Patient Health Questionnaire-8 scores (P<.05). Additionally, daily steps and activity minutes were associated with LIBRE Social Interactions and LIBRE Social Activities (P<.05), and significantly moderated the association between PROMIS Anxiety and LIBRE Social Activities (P<.001). ConclusionsSocial participation outcomes are associated with pain, anxiety, and depression symptoms after burn injury, and are buffered by daily physical activity. Future intervention studies should examine physical activity promotion to improve social recovery after burns.

Shared mobility - Novel insights on mode substitution patterns, trip and user characteristics

With a growing number of shared mobility options, choosing not to own a car may become a new norm in the future. Shared mobility offers users a flexible range of low or zero-emission alternatives, potentially reducing the use of private cars, as well as noise and air pollution. However, to date, there is little evidence of shared mobility acting as an alternative to private car use. Indeed, recent research suggests that shared vehicles not only substitute trips by private car, but also trips by active travel and public transport, thus not resulting in emission savings. Therefore, as part of the eHUBS project focusing on shared electric mobility hubs, the mode substitution patterns of 602 self-reported shared mobility users across Europe were investigated. More specifically, respondents of an online survey were asked to recall their last trip using shared mobility and to report on both their chosen and substituted travel mode in addition to common trip characteristics including trip distance and frequency. Chosen shared modes considered were both conventional or electric alternatives including cars, bicycles, cargobikes, and scooters. Overall, the results suggested that shared vehicles were about as or more likely to substitute public transport, cycling and walking, as private car trips, thus providing a mixed picture with respect to their potential contribution to reducing private car use and associated carbon emissions. Local authorities and policy makers are urged to actively continue to improve active travel facilities and to be proactive in better integration of shared mobility and public transport services.

The influence of promotion mix, brand image, and level of motivation on repurchase intentions through the decision to stay at Grand Wahid Salatiga Hotel

The COVID-19 pandemic has seriously impacted the tourism sector, especially the hotel industry in Indonesia. Restrictions on travel and community activities have drastically declined hotel room occupancy rates and overall hotel industry revenues. This research aims to understand to what extent the Grand Wahid Hotel Salatiga can survive and strengthen its existence after the COVID-19 pandemic. With a focus on the influence of the promotional mix on the decision to stay at a hotel, this research involves analysis of promotional aspects, brand image and consumer behavioural motivation. This approach will provide deeper insight into the strategies needed to recover and strengthen the hospitality industry after the pandemic. This research uses an explanatory research method, with quantitative data used. The data collection technique used non-probability sampling techniques, using 100 respondents who had stayed at the Grand Wahid Hotel Salatiga, and then the data was analysed using SEM-PLS. The results show that promotional mix, brand image and consumer motivation significantly influence decisions. Within the framework of Planned Behavior theory, the findings highlight the role of attitudes, subjective norms, and perceived behavioural control in influencing individuals' intentions to stay at a hotel. This research concludes that the promotional mix positively affects the decision to stay at the Grand Wahid Hotel Salatiga, indicating that the more promotional media there are, the more respondents' interest will increase. A good brand image and superior service quality also positively influence the decision to stay.

Impact of information and communication technology on mobility of urban and rural households: a comparative study from Nigeria

ABSTRACT There has been a growing concern regarding the potential impact of technology on travel patterns, with limited attention given to its effects on both urban and rural households. To address this gap, our study focuses on the influence of Information and Communication Technologies (ICT) on rural-urban mobility. We conducted this research using primary data collected through a multi-stage sampling method, where 50% of the wards were selected randomly. Subsequently, a total of 510 questionnaires in urban areas and 492 questionnaires in rural areas was administered using a systematic sampling approach. The results of this investigation revealed significant variations in the socio-demographic and travel characteristics of respondents within the study areas. Notably, our findings indicate that ICT usage has not entirely replaced traditional trips in urban and rural settings. Instead, it has played a pivotal role in complementing travel activities. The implications of these findings are substantial. As tele-density improves and expands in rural areas, it is foreseeable that more cost-effective travel planning will be achievable.

Visualising active travel with Pakistani heritage families in Bradford, UK – Photovoice as a tool for change

In this paper we report insights on barriers to active travel among the Pakistani heritage community in Bradford UK, generated using the participatory Photovoice method. This is the largest minoritized ethnic group in Bradford, and though most segments of the UK population need to be more physically active, those of non-white ethnicities, and South Asian heritage in particular, are generally significantly less active than average. Insufficient physical activity (including active travel) contributes to a significant health burden for minoritized communities as well limiting progress with increasing active travel among these communities. Increasing active travel is known to contribute to both positive health outcomes and to key transport decarbonisation aims. To meet public health goals and Net Zero emissions targets by 2050, increasing walking and cycling for short journeys will be essential but it remains difficult to achieve. There is a lack of knowledge relating to how specific cultural groups perceive active travel as an option within their local areas. We sought to explore the use of Photovoice to understand whether this method has potential to enable minoritized communities to actively consider active travel, and to provide connections between these communities and their local authorities. We recruited eight Pakistani heritage families living in Bradford to do this. Their photos were used in semi-structured interviews, and the data collectively analysed. The analysis suggested key barriers to walking and cycling could be grouped into four main categories: personal factors, social factors and those related to the local and wider environment. We also found that people's travel choices in this study are influenced by cognitive biases and social norms that are quite connected to their cultural heritage and societal position as minoritized. There were also both generational and gendered effects that need to be accounted for in intervention design. Based on participants' reflection and feedback, this report concludes participatory techniques like Photovoice offer an opportunity to break the status quo for those who are struggling to make a change by raising their social consciousness and helping them to gather evidence of their concerns.

An integrated geospatial data model for active travel infrastructure

Active travel has received increased investment and interest in many countries both due to COVID-19 and to policies which promote a shift in mobility behaviours to support a wide range of public and individual goods. However, while there has often been substantial investment in the physical infrastructure that can help facilitate active travel, there has not so far always been commensurate investment in the data infrastructure which can help enable people to shift trips to active modes. Current fragmented data and data models and a lack of data standards pose a barrier to the development of the applications which are needed to support planners, users and journey planning. There is therefore a need for a more integrated, better-connected and more richly attributed active travel geospatial network model. This paper describes the development of such a data model, and its initial application to a case study of Great Britain. It demonstrates how the development, population and maintenance of such a data model could facilitate a range of novel applications, such as the personalisation of active travel journey planning to address different user needs and capabilities. If the potential societal benefits from investment in physical active travel infrastructure are to be fully realised, this needs to be supported by the availability of a robust spatial data infrastructure capable of providing the information required by walkers, wheeled users and cyclists to make effective use of the active travel network.

Exploring residential relocation– differences between newcomers and settled residents in health, travel behaviour and neighbourhood perceptions

This study explores whether people who have recently moved to an area differ from longer-term residents in their health, travel behaviour, and perceptions of the environment. Using a large, representative sample from the UKHLS, Newcomers demonstrate significantly lower mental and physical health, reduced car commuting, and a higher likelihood of liking their neighbourhood. Area deprivation, urbanicity, household income, and age emerge as influential moderators with i.e. Newcomers in affluent areas experiencing lower physical health than Settled Residents, and rural Newcomers expressing less neighbourhood satisfaction. Our findings highlight that Newcomers' perceptions of their environment diverge and environmental influences vary among population segments, potentially impacting related health behaviours such as active travel. Furthermore, residential relocation introduces Newcomers with distinct characteristics into areas, affecting the context in which potential population health interventions aiming to influence health behaviours operate. This necessitates a deeper understanding of what influences reactions to the environment as well as ongoing adaptation of environmental interventions to respond to changing contexts within the same location over time.