Dependence between travel distance,individual socioeconomic and health-related characteristics,and the choice of the travel mode: a cross-sectional study for Kaunas,Lithuania

The aim of this study was to analyse the associations between individual socioeconomic and health-related characteristics, travel distance, and the choice of different travel modes in urban population. A cross-sectional study included 932 adults of Kaunas city, Lithuania. The choice of the travel mode and individual characteristics were self-reported by the participants, and their travel routes were calculated using the geographic information system. Multivariate logistic regression was used to assess the most significant factors determining the choice of a car, cycling, walking, or public transport. In total, 529 participants reported using a car, of whom 65.8% had medium or high education levels. These participants were more likely to be younger, male, married, and employed. Among bicycle users, statistically significant differences between the employment status, body mass index, and travel distance were observed. Walkers were significantly more likely to be older, those with lower incomes, unemployed, and travelling the shortest distances. The analysis of the travel distance on the choice of the travel mode revealed that men travelled longer distances with a car compared to women. The employment status was significantly associated with travel distance by car or public transport. Employed individuals travelled longer distances by public transport or by car, compared to unemployed individuals. Among bicycle users, we found that people with higher levels of education and overweight individuals cycled the longest distances. Our study emphasizes the importance of considering different individual characteristics when analysing the choice of transport modes. It provides evidence that is relevant for all urban populations on the choice of the transport mode, particularly considering active versus passive transport.     

“Cycling was never so easy!” An analysis of e-bike commuters' motives,travel behaviour and experiences using GPS-tracking and interviews

The market for electrically-assisted cycling is growing fast. When substituting motorized travel, it could play an important role in the development of sustainable transport systems. This study aimed to assess the potential of e-bikes for low-carbon commuting by analysing e-bike commuters' motives, travel behaviour and experiences. We GPS-tracked outdoor movements of 24 e-bike users in the Netherlands for two weeks and used their mapped travel behaviour as input for follow-up in-depth interviews. Most participants commuted by e-bike, alternated with car use. E-bike use was highest in work-related, single-destination journeys. It gave participants the benefits of conventional cycling over motorized transport (physical, outdoor activity) while mitigating relative disadvantages (longer travel time, increased effort). The positive experience of e-bike use explained the tolerance for longer trip durations compared to other modes of transportation. Participants were inclined to make detours in order to access more enjoyable routes. Results demonstrate that e-bikes can substitute motorized commuting modes on distances perceived to be too long to cover by regular bike, and stress the importance of positive experience in e-bike commuting. This provides impetus for future actions to encourage commuting by e-bike.     

Children's school commuting in the Netherlands: Does it matter how urban form is incorporated in mode choice models?

Walking and cycling to school is environmentally sustainable and increases children's physical activity. Although it is known that the built environment influences children's travel behavior, there is scant knowledge of how urban form along children's commuting routes affects walking and cycling separately, or of how to incorporate urban form exposures in transport mode choice models. This research investigated (a) the associations between children's transport mode choice and urban form correlates en route, and (b) the consequences of different urban form operationalizations (i.e., individual variables, composite measure, and principal components [PCs]). Global Positioning System devices were used to track 623 trips to and from school made by Dutch children aged 6–11 years. Urban form exposures were derived with geographic information systems, and their relationships with mode choice were tested with mixed multinomial logit models in a cross-sectional research design. Differences between the number of associated urban form variables, their magnitudes, and their significance levels were found for both walking and cycling, independent of the operationalization. Urban form was most influential for walking, whereas distance-related effects were absorbed when modeled as PCs. The highest model fit was achieved through PCs; the composite measure resulted in the lowest fit. To maximize the effectiveness of planning and health interventions, walking and cycling must be targeted separately. Policymakers should avoid “one-fits-all policies,” which are deemed to be inefficient. Because urban form affects model interpretation and fit, careful attention should be paid to how urban form is modeled, and sensitivity analyses should be performed.     

The path and time efficiency of residents' trips of different purposes with different travel modes: An empirical study in Guangzhou,China

Improving residents' travel efficiency and reducing carbon emissions from travel are the key issues for sustainable development of urban transportation. This study first employed a circuity index to measure the path efficiency of residents' trips based on 2015 survey data in Guangzhou and developed a generalized additive model (GAM) to investigate the relationship between the path efficiency and travel distance for different purposes of trip and different travel modes. On this basis, it further evaluated the time efficiency of different travel modes for each trip. The results showed that there is a complex and nonlinear relationship between the path efficiency and travel distance, which differs between different purposes of trips and different travel modes. In general, trips by non-motorized transport have a lower circuity index and higher path efficiency than those by cars or public transport. Moreover, non-motorized transport is the time-efficiency optimal mode for almost half of the trips, especially for daily shopping trips. However, people prefer to choose public transport on their trips even though public transport is not the time-efficiency optimal mode for these trips. Generally, only about half of the residents chose the time-efficiency optimal mode for their trips. Those who did not choose the time-efficiency optimal mode tended to choose the modes with higher carbon-intensity. The conclusions of this study indicate that for improving travel efficiency and reducing carbon emissions from transport, more efforts should be focused on the non-motorized travel environment and developing relevant policies to encourage more walking and cycling.     

Residential dissonance and walking for transport

The concept of residential dissonance contextualizes the combined impact of built environment and individual travel and land-use preferences on travel behavior. A limited number of studies have explored the effect of residential dissonance specifically on walking. However, evidence from the active travel literature suggests that the environmental characteristics associated with diverse active travel modes differ to some extent. This study addresses residential dissonance in a framework specific for walking outcomes, as the applied neighborhood boundaries, residential preferences and the observed built environment were operationalized with measures related to walking for transport. SoftGIS, a public participatory GIS method allowing the mapping of frequently visited destinations was used to survey the daily walking behavior of 772 respondents aged 25–40 years living in the Helsinki metropolitan area, Finland. Ordinal logistic regression analyses were used to assess the adjusted odds of walking a high share of estimated monthly trips and travel distance. The identified residential dissonance groups were found to have significant associations with the walking outcomes. Associations between the observed neighborhood walkability and the walking outcomes varied by trip purpose, being more consistent with walking to utilitarian than to recreational destinations. Overall, the results support views on the interconnectedness of individual attitudes and the built environment in facilitating walking for transport.     

Analysis of active school transportation in hilly urban environments: A case study of Dresden

This paper analyses the way students travel to school and examines the influence of environmental conditions on travel patterns. More specifically, it studies how topographic changes affect the likelihood of choosing cycling as a transport mode. We use mode choice data on students' home-to-school commuting trips from a previous study by Müller et al. (2008). The results show that models perform better when they account for the topographic conditions of the urban environment. We included this information in the model by introducing the “energy exerted” variable, which significantly improves the model and the results. The implications of this study are manifold; it guides the consolidation or expansion of school-based transportation network planning in Germany and prompts further analysis of active transportation systems, such as bike, pedelec and e-bike sharing systems. Overall, transportation policy should seek to foster active transportation, as it provides the greatest benefits for society and has a direct impact on people's well-being, while notably reducing the negative environmental and socioeconomic impacts of motorized transport.     

Job growth,accessibility, and changing commuting burden of employment centres in Melbourne

How transport and employment agglomeration enhance urban productivity is a fundamental problem for many cities. Internationally, there has been a great deal of interest in the effect of employment concentration on urban productivity, but very few studies have examined its effect on worker commuting burdens and transport costs. This paper aims to advance international knowledge by measuring job growth and costs of labour market access between 2011 and 2016 for employment centres (EC) in Melbourne, Australia. A comprehensive transport cost model is used that incorporates detailed transport costs and travel times associated with transport modes. By tracking job growth and changes in worker commuting burdens, this paper distinguishes ‘high-cost’ ECs from ‘low-cost’ ECs, for their respective labour pools, and identifies which ECs offer opportunities for better transport outcomes. The results show that well-planned public transport (PT) systems and residential development, coupled with walking and cycle networks, are important features of ECs experiencing lower commuting burdens. Drawing upon the conclusions, this research recommends more effective approaches by governments to foster effective investments in urban infrastructure and discusses how broader policy and investment decisions can align to optimise employment agglomeration and minimise negative transport impacts.     

School commuting: the relationship between energy consumption and urban form

A large amount of research in the past has focused on the relationships between the energy consumption for home-to-work travel and land-use patterns. However, little is known about children’s mobility. This paper analyses the energy consumption, travel distances and mode choices for school commuting based on two decennial surveys in Belgium. The results highlight the following: (1) mobility behaviours have evolved drastically over the past decades for school commuting, an evolution that cannot be entirely related to land-use variables, (2) the energy consumption for school commuting is strongly dependent upon the school level, and (3) the links between land-use patterns and energy consumption for school commuting are different than those highlighted within the literature between urban forms and home-to-work commutes. The concentration of secondary schools and tertiary institutions in urban centres induces higher energy consumption rates, whereas the decentralisation of nursery and primary schools across the entire territory leads to very low local energy consumption and increased walking and cycling. These results provide a better understanding of school commuting within the European context and could guide future policies focused on transport energy consumption at the local scale.     

Social networks' group tie strength and travel behavior

The last decades saw an increased interest in the social aspects of urban mobility, particularly in understanding the linkage between social network (SN) ties and travel behavior. Most studies analyzed ego-centric networks, focused on dyadic relations and distinguished between weak and strong ties. The purpose of this study is to understand the hidden layers connecting social network group ties and its associated travels within a meeting context. Data included 315 relations based on 137 group meetings that took place in the city of Tel Aviv, Israel at either a cafe, pub or a restaurant and involved three or more participants.We developed a group tie strength index as a spectrum ranged from weak to strong ties based on four parameters: intimacy, duration of connection, frequency, and modes of communication among group members. The study reveals that majority of the connections tend to be at the medium of the spectrum. This indicates that the common classification into weak/strong ties in relation to travel behavior is overlooking important segments of ties and that there is a difference in tie strength between dyadic and triadic/group meetings. Classification and Regression Trees (CART) model analysis explored how Social Network group tie strength (SNGTS) of members participating in a meeting event can be predicted by the event context and the contextual travel pattern. Two CART trees were found. Each started with a different variable for the first split differentiation and showed different tree paths for explaining the group tie strength for an event-based participants. These include the “communication means” that were used to arrange the meeting and the “meeting type” (i.e.- friends, family, and business- oriented meetings) variables. Five more variables were found to be related to predicting the SN group tie strength including: meeting duration, distance of meeting place from residence, transport means and travel duration to the meeting and age.     

Perceptions of cycling among high school students and their parents

Cycling is a healthy, low-cost, and low-carbon alternative to motorized transport. As a relatively fast active mode of transport, cycling can overcome the distance barrier of walking, while also providing cardiovascular exercise and reducing demand for motor vehicle travel. The “cycling renaissance” has seen an increase in the number of cyclists in urban spaces, and there is evidence of increased investment in cycling infrastructure and cycle skills training in some places. Yet the number of high school students cycling to school is declining in many industrialized countries. Transport to school is a major contributor to daily traffic congestion, resulting in both local and global environmental concerns, and high school students have been relatively overlooked in research to date. In this paper, we present empirical material from a qualitative study of high school students and parents in Dunedin, Aotearoa New Zealand. Focus group sessions were conducted during 2014 and 2015 with students and parents separately, to explore their perceptions of modes of transport and transport to school decision making. Key findings relate to perceived safety, implicit messages, and social norms. We find that a complex range of factors contribute to perceptions of cycling safety, including features and perceptions of the built environment, traffic safety (including behaviors of other road users), previous cycling experiences (including accidents), and adolescents' cycling skills and on-road experiences. Overcoming concerns through behavioral and cultural interventions coupled with upskilling and thoughtful infrastructure may present a pathway to increasing rates of cycling.     

Using PAR to frame sustainable transport and social justice on policy agendas. A pilot experience in two contrasting Chilean cities

If sustainable transport is defined by emissions and energy, urban passenger transport in Chile could be considered “sustainable”, with two-thirds of trips made by walking, cycling or public transit. Recent studies, however, reveal that gender and equity issues are highly problematic, pointing to tensions between environmental and social sustainability.Given these tensions, a university-community collaboration, the Laboratory for Social Change, developed a pilot methodology to define and evaluate Transport Justice. We sought a relatively simple instrument, a Transport Justice report (Balance de Transporte Justo, BTJ) that could combine experiential and academic knowledge and thereby influence policy and decision-making more effectively.We used a participatory action research (PAR) approach to bring together community leaders and university researchers, and consider experiential and research data, through this “transport justice” lens. To start, we introduced the idea of “transport justice” with researchers in different disciplines and citizen organizations involved in relatively specific battles: fighting a highway, for better cycling facilities, or for reduced road speeds, for example.We focused on established issues, such as universal access, walkability, cycle-inclusion, but added children's freedom and autonomy, the wise city (older adults, heritage, identity), care and land use, and transport impacts on ecological services. Building on this collaboration, we also applied a transport justice survey in two contrasting Chilean cities, Santiago and Temuco.Our analysis reveals that, despite a planning system that favours high-income households whose members rely mainly on cars, the majority of pedestrians, cyclists, public transit and even car users would prefer a redistribution of road space and investment in favour of active transport. During the next phase of research (2020–2021), we will test how well these results are taken up by citizen organizations, politicians and senior government staff from all parties. This will allow us to evaluate its effectiveness as a policy and power distributing instrument.     

Errors in variables in multinomial choice modeling: A simulation study applied to a multinomial logit model of travel mode choice

Modeling travel demand is a vital part of transportation planning and management. Level of service (LOS) attributes representing the performance of transportation system and characteristics of travelers including their households are major factors determining the travel demand. Information on actual choice and characteristics of travelers is obtained from a travel survey at an individual level. Since accurate measurement of LOS attributes such as travel time and cost components for different travel modes at an individual level is critical, they are normally obtained from network models. The network-based LOS attributes introduce measurement errors to individual trips thereby causing errors in variables problem in a disaggregate model of travel demand. This paper investigates the possible structure and magnitude of biases introduced to the coefficients of a multinomial logit model of travel mode choice due to random measurement errors in two variables, namely, access/egress time for public transport and walking and cycling distance to work. A model was set up that satisfies the standard assumptions of a multinomial logit model. This model was estimated on a data set from a travel survey on the assumption of correctly measured variables. Subsequently random measurement errors were introduced and the mean values of the parameters from 200 estimations were presented and compared with the original estimates. The key finding in this paper is that errors in variables result in biased parameter estimates of a multinomial logit model and consequently leading to poor policy decisions if the models having biased parameters are applied in policy and planning purposes. In addition, the paper discusses some potential remedial measures and identifies research topics that deserve a detailed investigation to overcome the problem. The paper therefore significantly contributes to bridge the gap between theory and practice in transport.     

Powered-two-wheelers for city commuting: Insight from Australia's three largest capital cities

The journey to work receives a great deal of research attention due to the peak demand on the transport system. Cities are increasingly concerned with managing traffic congestion and reducing pollution and most of the focus of this research has been on cars, public transport, walking and cycling. In contrast, the role of powered two-wheelers (PTWs), including motorcycles and scooters, in commuting has received little attention, particularly in the context of cities in the developed world. This paper provides new insight into commuting by PTW by drawing on census journey to work data from Australia's three largest cities (Sydney, Melbourne and Brisbane) combined with an intercept survey of PTW commuters in Melbourne. It explores the extent of, and changes in, PTW commuting as well as the demographics of PTW commuters. While PTWs account for only a small percentage of urban commuting in Australian cities, their use is growing rapidly and there is a concentration of commuting by PTW into city centres. PTW commuters tend to be high-income males in skilled professional and technical professions. The implication of these findings for transport policy are discussed.     

Comparison of efficiency between public and private transport modes using excess commuting: An experience in Dar es Salaam

The excess commuting concept is well-known in developed countries. Since the introduction of the concept in the developed countries, the excess commuting framework has been used to derive a set of benchmarks and indices for the analyses of spatial mismatch, jobs-housing balance, and commuting efficiency in urban regions. However, there are very few studies which have examined excess commuting parameters in relation to mode of transport in the current excess commuting literature. Additionally, very few studies on excess commuting have been undertaken in developing countries with no evidence on any study in African cities. This paper attempts to add to the excess commuting literature by examining and comparing excess commuting parameters between public and private transport modes in Dar es Salaam city. The study investigated the effects of land use patterns in the year 2007 (the base year) and the projected land uses in the year 2030 on excess commuting parameters. The results suggest that public transport in Dar es Salaam is very good in terms of providing excellent options to get everywhere in the city as it connects homes and jobs as well as private transport. This is very different from cities in the more developed world, especially in the USA, where public transport is less effective at connecting origins and destinations. It was also found that the land use scenario in the year 2030 encourages a travel pattern that increases the actual average travel distance.     

Estimation and validation of hybrid choice models to identify the role of perception in the choice to cycle

Cycling is one of the most sustainable and ecofriendly modes of travel and a good form of exercise. Many government and public health authorities recommend cycling to stay fit as well as to reduce air and noise pollution, CO₂ emissions, traffic congestion, and other negative consequences of car use. In light of these benefits, a major challenge for researchers today is how to promote cycling. However, in countries where cycling is not common, apart from the need for proper cycling facilities, one major issue concerns people’s perception of cycling for sport or recreational activities rather than as a mode of transport. The aim of this paper is to explore the role of perception in the likelihood of the bike being used for utilitarian purposes. We focus on the perception of: the bicycle as a means of transport; bikeability (in terms of usefulness and safety) and of bike infrastructure. Hybrid Choice Models (HCMs) have been used to estimate the effect of people’s perception on the propensity to bike. The HCM also accounts for the serial correlation between error terms in the discrete and latent perceptions, to allow for agent-common unknown factors. Furthermore, we also validate the model results using a hold-out sample and discuss some policy measures aimed at changing travel behavior. The results suggest that, besides individual characteristics, latent aspects related to the perception of the context and of the bicycle as a means of transport strongly affect the propensity to cycle.     

The influence of socioeconomic characteristics,land use and travel time considerations on mode choice for medium- and longer-distance trips

This paper contributes to the limited number of investigations into the influence of the spatial configuration of land use and transport systems on mode choice for medium- and longer-distance travel (defined here as home-based trips of 50 km and over) in the Netherlands. We have employed data from the 1998 Netherlands National Travel Survey to address the question as to how socioeconomic factors, land use attributes, and travel time affect mode choice for medium- and longer-distance travel, and how their role varies across trip purposes: commuting, business, and leisure. The empirical analysis indicates that land use attributes and travel time considerations are important in explaining the variation in mode choice for medium- and longer-distance travel when controlling for the socioeconomic characteristics of travellers.     

Smartphones,travel time-use,and attitudes to public transport services. Insights from an explorative study of urban dwellers in two Norwegian cities

The uptake of mobile media with internet connection has increased rapidly in almost every part of the world, and this has significantly changed how public transport passengers use their travel time. Studies have documented that use of mobile information and communication technologies (ICT) while traveling has the potential to enrich use of travel time and in some cases, strengthen positive attitudes towards public transport. The alternative hypothesis—that mobile communication technologies make travelers more critical and demanding, e.g., due to the risk of interference—has so far hardly been explored through empirical studies. Based on a web-based survey of travelers in two of the largest cities in Norway (Oslo and Trondheim), this paper investigates how use of smart devices are related to general attitudes toward public transportation services. A segmentation of travelers in three clusters based on their mobile use habits, shows that the most active group of mobile media users—a group of younger and middle-aged urban dwellers—were those who bore the most critical attitudes to the public transport services. In contrast, the groups that used their mobile phones rarely, or less actively, on their public transport trips were more satisfied. The findings suggests that a new generation of “equipped travelers” has developed expectations regarding their public transport journeys that service providers might have problems to fulfill in current times. Thus, there is a risk of the most active smartphone users developing negative attitudes to public transport if (or when) their experiences are not improved.     

Social inequalities of park accessibility in Shenzhen,China: The role of park quality,transport modes,and hierarchical socioeconomic characteristics

Identifying the geographic units with restricted access to intra-urban parks has become a hot issue in transport studies. Previous literature has examined the social inequalities of park accessibility under the Western context; however, the issue has seldomly investigated against the non-Western background, especially in China. Using a case of Shenzhen (China), this paper examines the accessibility to parks of three quality levels (official standard) under four transport modes (public transit, walking, bicycle, and private car). In particular, the daily travel time from each community (8117) to each park (625) was harvested from the Baidu Map during 18:30–20:30 in July 2016. We further, based on the travel time calculations, develop four baseline indicators (the weighted average, the minimum, the maximum, and the standard deviation travel time) and three tolerance indicators of park accessibility (weighted average travel time within visit tolerance thresholds, standard deviation travel time within visit tolerance thresholds, and number of parks within visit tolerance thresholds) to measure park accessibility for each community. Results show that the seven accessibility indicators generate different estimations and the quantified accessibility varies greatly with park quality levels and transport modes. Communities present greater variations in accessibility to the first quality level and second quality level parks via walking and public transit. In addition, hierarchical regression is utilized to quantify the relationships between park accessibility and sociodemographic characteristics at two geographic levels (community and district). It is found that the associations are subjected to park quality, transport modes, and geographic levels. In particular, we discover significant social inequalities in park accessibility under the mode of public transit, walking, and bicycle. Our study should provide some new insights into accessibility research and advance the understanding of unequal park provision in developing countries.