Disentangling the behavioural side of the first and last mile problem: the role of modality style and the built environment

The first and last mile (FLM) problem, namely the poor connection between trip origins or destination and public transport stations, is a significant obstacle to sustainable transportation as it is likely to encourage the use of cars for FLM travel, if not for the entire trip. This study examines the role of modality style and built environment in FLM mode choice behaviour, in order to identify the key features that might invoke a travel mode shift from cars to more sustainable travel options for both mandatory and discretionary trips. More specifically, this study draws on disaggregate data from the South East Queensland household travel survey and presents a latent class choice model to unravel modality style groups. Results reveal two distinct individual-level modality style groups: (1) driving and walking oriented; (2) multimodal travellers. Individuals in the second modality style group were found to be relatively inelastic to FLM travel time for mandatory trips, while individuals in the first group were largely unaffected by built environment characteristics and highly habitual in their mode choice behaviour for both mandatory and discretionary trips. Home residence environments with high road intersection density and public transport accessibility, and home residence environments with diverse land use mix, respectively encourage individuals within the second modality style to walk for mandatory trips, and discretionary trips. To this end, when place-based policies seek to change certain built environment features, individuals in the second modality style are more likely to shift their preference from cars to more sustainable modes. Finally, our findings have practical planning implications in targeting mode shift through highlighting the importance of considering the intersection of individual modality style in a given locale and mode choice behaviour. More specifically, our findings advocate for place-based policies that seek to target particular locales with the certain modality style deemed to be more predisposed to adopting a mode shift.     

Do rural older adults take fewer trips than their urban counterparts for lack of a ride?

Aging and the presence of one or more illnesses result in limited travel for many adults age 65 and over. Yet, the need to get to essential, social, and non-emergency medical destinations endures. At some point in their life, older adults become dependent on family/friends, or rely on for-profit/not-for-profit transportation services for their mobility needs, while some do not go on certain trips. Researchers have studied out-of-home activity and mobility of older adults using data on trips taken. There is a gap, however, in understanding trips not taken in the older adult population in rural versus urban locations. Our objectives in this paper are: (i) to investigate unmet travel needs of older adults by relying on responses for trips not taken; (ii) to examine how personal abilities, living situation, and socio-demographic factors are associated with trips not taken to various destinations; and (iii) to compare the likelihood of trips not taken due to lack of a ride in urban versus rural locations across the age and income spectrum. Our data come from a phone survey conducted across the province of Alberta, Canada, in 2017–18 (n = 1390). We specify ordinal logistic models where the dependent variable is how often a respondent did not undertake a trip due to not having a ride to various trip destinations. We find that rural seniors are more likely to not take trips compared to older adults in cities, holding all else equal including driving cessation, worsening health, and disability. Rural seniors who live alone or in low-density housing are also more likely to not take trips compared to urban older adults. Household income, however, tempers these location preferences. Our findings suggest that rural older adults can be supported through income transfers, community-based low-cost travel, and moving to higher-density residential locations.     

Determinants of route choice behavior: A comparison of shop versus work trips using the Potential Path Area - Gateway (PPAG) algorithm and Path-Size Logit

This paper presents an in-depth comparison of route choice models for work and shop vehicle trips—with emphasis on the interactions between route attributes and individual characteristics—to better understand the route choice determinants that are assumed to vary by trip purpose. Insights into the route choice behavior involving two dominant vehicle trip purposes—work and shop trips—will help in the design of traffic facilities and implementation of measures to influence route choice in the desired direction.In this study, we show that the utility and scale parameters for separate models of work and shop trips differ by direct comparison using a sequential scaling estimation method and likelihood ratio tests, and highlight the differences in route choice behavior by considering the interaction of route attributes and individual characteristics using Path-Size Logit modeling. In the process, we used Potential Path Area - Gateway (PPAG) algorithm—that generates feasible route choice sets for route choice modeling from GPS trajectories of observed routes.The results show that, indeed, route choice behavior varies by trip, which suggests that drivers attach value to route choice determinants relative to trip purpose. The inclusion of interaction terms in model specifications further indicates that work route choice behavior tends to be restrictive compared to the nonrestrictive route choice for shop trips—a generalization consistent with the mandatory and discretionary nature of work and shop trips, respectively. Specifically, individual characteristics such as personal income, age, gender, tenure, household size, and access to public transit affect route choice behavior.     

Insights into the fairness of cordon pricing based on origin–destination data

Origin–destination data are used to assess the vertical equity effects of a hypothetical road pricing zone in Canada's largest city. The assessment is based on the proportion of morning commuters affected by cordon pricing by virtue of residential location, trip destination, and travel mode. The overall findings for Toronto, Canada show that people with full-time employment and also those from higher income neighborhoods would be most affected by downtown road pricing; and this holds true when the population is broken out by gender, age group, household size and occupational class. The analysis also highlights that professionals, those who live in one- and two-person households, and those who are aged 65 and older would be disproportionately affected; those who work in manufacturing would be less affected. The equity effects of road pricing arise out of the commuting patterns of different sub-populations.     

Examining public transport usage by older adults with smart card data: A longitudinal study in Japan

Understanding public transport usage by older adults is necessary to develop senior-friendly public transport and improve the mobility of older persons. Although extensive literature has examined the travel patterns of older adults, very limited efforts have been invested to explore the longitudinal variability in public transport usage by different age groups of older adults. To address this limitation, we developed user-monthly profiles to explore the seasonal variability in public transport usage by older adults and defined user-based time slots of the day and geographical user areas to represent daily trip patterns and examine day-to-day variability. Using one-year smart card transaction data and an anonymous cardholder database from Shizuoka, Japan, we evaluated the seasonal and day-to-day variability in public transport usage by older adults. We also analyzed the role of age and living environment in travel pattern variability. The results indicate that older adults in highly developed areas and younger-old group (aged 65–74) are more likely to be characterized by high-frequency public transport usage and low seasonal variability. Additionally, the day-to-day variability in public transport usage by older adults is greater in more developed areas and appears to increase with age. This study enhances our understanding of public transport usage by older adults, which may contribute to the development of senior-friendly public transport policies and services.     

The reflection of the fear of falls and risk of falling in walking activity spaces of older adults in various urban environments

Participation of older adults in daily activities has a major positive impact on health and contributes to a sense of accomplishment, satisfaction, self-efficacy, and well-being. Walking is considered to be one of the most influential activities promoting health and active living. Older adults are particularly vulnerable to their immediate local environment where age- related declined capabilities combined with barriers in the home neighborhood pose a risk of falling and fear of falls. Most research focusing on the built environment role in incidents of older adults' outdoor falls and fear of falls is focused on identifying the environmental features' risk factors. Effort is made to develop audit checklist tools to assess out-door falls risk. In contrast, this study focuses on the manifestation of fear of falls in older adults' walking activity spaces. We identify spatial walking patterns of outdoor daily activities in public urban spaces and examine the relations between fear of falls, risk of falling status, previous occurrence of fall incidents and number of medical diagnoses and walking activity spaces among older adults in different urban environments.The analysis included 271 older adults (age 60+ with 70% females and 30% males), and 483 walking routes in three cities. A psychological measure related to mobility self-efficacy was evaluated by the Falls Efficacy Scale examining the fear of falling through a functional perspective. Motor evaluation was conducted by functional mobility evaluation through the Timed Up and Go (TUG) screening test which assesses the level of risk of falling. GIS analysis was conducted for mapping and identifying walking activity spaces. The analysis shows different walking activity spaces of people with high risk of falling and fear of falls in comparison to those with no risk and no fear of falling across gender and age groups (60–65, 66–74, and 75+). In this approach we show the outcome reflection of barriers and enablers and their revealed cumulative effect through walking activity spaces among older adults.     

The impact of topological properties of built environment on children independent mobility: A comparative study between discretionary vs. nondiscretionary trips in Dhaka

Researchers broadly represented the built environment (BE) using geographic and topological indicators. Despite studies have shown that the geographic BE affects children independent mobility (CIM), little is known about the effects of topological BE on CIM. Less so, how the effects vary between discretionary and nondiscretionary CIM trips. The study addresses these gaps using self-reported two-day mobility data of 151 children aged 10–14 years from Dhaka, Bangladesh. Geographic BE data (e.g. land uses, street width, building height) were collected through a virtual BE audit following each route. Topological BE data (e.g. step-depth, integration, choice) were derived in Depthmap X. CIM was measured in a binary scale by checking whether the reported trips were taken independently or not. Three binary logistic regression models (an overall model, a discretionary trip model, and a nondiscretionary trip model) were estimated to determine the effects of geographic and topological BE on CIM, controlling for other confounding effects. The findings demonstrate that both geographic and topological BE affect CIM. However, they affect discretionary and non-discretionary CIM differently – e.g. step-depth, angular connectivity and presence of institutional land use affect only non-discretionary CIM, whereas integration, recreational land use and traffic composition affect only discretionary CIM. The findings highlight that geographical features need to be considered in tandem with topological features of the BE, stratified by destination types, to maximise CIM.     

The effect of travel cost on frequencies of shopping and recreational trips in Sweden

This article focus on how the cost of travel affects travel behavior. A trip frequency model for recreational and shopping trips is suggested and used to investigate this. The data that is used comes from a Swedish travel habit survey where the respondents’ trip frequencies of both types of trips on a certain day are recorded. This is likely to introduce a correlation structure, which is incorporated in the model. Special attention is paid to the effect of travel cost on trip frequencies for different regions and income groups. As a measure of the sensitivity of cost changes, elasticity of demand is calculated. The precision of the elasticities are evaluated with simulated p-values.     

Estimating social travel demand of senior citizens in the Netherlands

Like many other countries, the Netherlands is experiencing a sharp rise in the ageing population. As age increases, people’s mobility may decrease. However, older people have more leisure time compared to their younger (working) counterparts, and potentially spend more time on social activities. Therefore, this group can possibly increase social travel demand. However, to date, the travel demand for social activities of senior citizens has received only little attention. This paper studies trip-making for social purposes, with a special focus on the demographic ageing factors. Using social activity diary data, models are estimated to predict the number of social trips, the travel distance and mode of transport for social trips. The results indicate that the elderly of today seem to be as mobile as their younger counterparts with respect to the number of social trips. High education and involvement in clubs on average result in more social trips and full time work is found to result in fewer social trips. With regard to trip distance the results show that the average travel distance does not decrease as people get older. Full time work is found to result in longer social trips. Shorter trips were found for people in urban as well as rural areas. Trips for the purpose of visiting or joint activities tend to be longer than average. With regard to transport mode choice the results indicate that older seniors (75+) are less likely to choose the bicycle, relative to driving. No other significant age effects were found. Significant effects were found for gender, household structure, education level, car ownership, having a disability, urban density, distance and the purpose of the social activity.     

Distributional effects of public transport subsidies

We analyze the distribution of transit subsidies across population groups in Stockholm. We develop a novel methodology that takes into account that the subsidy per passenger varies across transit links, since production costs and load factors vary. With this, we calculate the subsidy per trip in the transit network and analyze the distribution of subsidies across population groups. The average subsidy rate in Stockholm is 44%, but the variation across trips turns out to be large: while 34% of the trips are not subsidized at all but generates a profit, 16% of the trips have a subsidy rate higher than 2/3. We calculate the concentration index to explore the distribution of subsidies across income groups. The average subsidy per person is similar for all income groups, except for the top income quintile. This holds not only for the current flat-fare system, but also for distance-based fares and fares with a constant subsidy rate. Transit subsidies is hence not effective as a redistribution policy in Stockholm. The largest systematic variation we find is across residential areas: the average subsidy per person is five times higher in the peripheral areas of the region compared to the regional core, and the subsidy per trip is ten times higher.     

Older adults and their willingness to use semi and fully autonomous vehicles: A structural equation analysis

Advanced Vehicle Technologies (AVTs) have been purported to improve the behind-the-wheel experience of older adults (65+ years) by making driving safer, easier, and more enjoyable. The autonomous vehicle, in particular, is viewed as a promising innovation for those in older age groups. However, little is known about how older adults perceive AVTs as well as their attitudes, concerns, and willingness to use different levels of vehicular automation.Using the results of an online survey of 1000 Canadians aged 65 and older (who live in the Greater Golden Horseshoe Region, Southern Ontario, Canada), this paper aims to identify and quantify key factors that can affect older adults' willingness to use vehicles with different levels of automation (e.g., semi vs. fully autonomous vehicles; SAV/FAV). Underlying this objective is a need to examine older adults' preferences and concerns for using emerging automotive technologies.Using factor analysis and structural equation modeling, several factors were also identified that can influence older adults' openness to use SAV/FAV including the perception that the AVTs would actually assist with performing driving-related tasks, participant concerns about using SAV/FAV (mainly concerns about inadequate testing on SAV/FAV and being legally responsible if SAV/FAV technology failure causes an accident), using automobile as a passenger, gender, level of education, and the need for assistance with driving. Moreover, almost two thirds of participants reported having concerns about liability if an AVT failed resulting in a crash.Findings of this study provide decision makers and car manufacturing companies with valuable insights regarding older adults' willingness and needs to use SAV/FAV.     

Teen travel in the Greater Toronto Area: A descriptive analysis of trends from 1986 to 2006 and the policy implications

This paper extends research on urban form and travel behavior beyond adult travel by examining teen travelers aged 13–19 in the Greater Toronto Area. Data from the Transportation Tomorrow Survey (TTS) survey are used to study four main research questions: (1) How has teen mode choice changed from 1986 to 2006? (2) How do these choices vary as teens transition from the 13–15 age group to being of driving age (16–19)? (3) How do these choices vary across the different urban and suburban regions of the GTA? (4) What are some of the differences between teen travel and adult travel? Results show that in general, active transportation has decreased, while auto-passenger mode shares have increased across the region. The younger group walks more and the older group takes transit more for both school and discretionary travel. Jurisdictions with better transit supply and orientation have higher transit mode shares for school trips, but discretionary trips have very low transit mode shares. Walk mode shares for both school and discretionary travel are similar across all jurisdictions, regardless of whether they are urban or suburban. In contrast to adult travel in the GTA, built form characteristics and transit supply do not appear to have a direct relationship with teen mode choice. Urban form appears to exert an indirect influence on teen travel.     

‘Mobility work’: Older adults' experiences using public transportation

This paper contributes to research on public transport accessibility, disabling spaces, and older adult's mobility by highlighting the ‘mobility work’ older adults complete to meet their daily travel needs. Drawing on a systematic and inductive analysis of semi-structured interviews with older adult (65+ years of age) public transit users in Hamilton, Canada, we argue that older adults are faced with mobility work that younger and/or more able-bodied people do not routinely encounter as they meet (or attempt to meet) their daily travel needs using public transportation. Key components of older adults' trips that involve mobility work include walking to and from the bus stop, trip planning, stepping onto/ off of the bus, finding a seat, carrying items on the bus, calling a stop, and travelling in winter conditions. This mobility work can be categorized as physical (e.g., struggling to board the bus), emotional (e.g., worrying about getting a seat), or spatiotemporal (e.g., staying home when the weather is bad). Taken together, this paper puts forward a multidimensional concept of ‘mobility work’ to aid in considering accessibility at the scale of both the individual and the built environment. Further, by highlighting mobility work, this paper demonstrates the ways in which public transport spaces can be disabling for aging bodies and outlines concrete measures public transit agencies can take to make services more accessible to older adult riders.     

Determinants of transport mode choice: a comparison of Germany and the USA

Germany and the USA have among the highest motorization rates in the world. Yet Germans make a four times higher share of trips by foot, bike, and public transport and drive for a 25% lower share of trips as Americans. Using two comparable national travel surveys this paper empirically investigates determinants of transport mode choice in Germany and the USA.In both countries higher population density, a greater mix of land-uses, household proximity to public transport, and fewer cars per household are associated with a lower share of trips by automobile. However, considerable differences remain: all groups of society in America are more car-dependent than Germans. Even controlling for dissimilarities in socio-economic factors and land-use, Germans are more likely to walk, cycle, and use public transport. Moreover, Americans living in dense, mixed-use areas, and close to public transport are more likely to drive than Germans living in lower density areas, with more limited mix of land-uses, and farther from public transport. Differences in transport policy that make car travel slower, more expensive, less convenient, and alternatives to the automobile more attractive in Germany may help account for the remaining differences.     

Nonstandard ridehail use in Austin

Ridehailing quickly proliferated by geography and socioeconomic status following the 2012 introduction of UberX and Lyft, but did that proliferation extend to higher-priced, nonstandard-vehicle trips? What explains nonstandard ridehail use, who uses it, and where are they going? RideAustin trip-level data, land-use codes, ACS block groups, and parking data are analyzed using GIS and statistical software to find out. Results imply the nonstandard-vehicle, RideAustin traveler varied from the standard-vehicle traveler in several important socioeconomic ways, including access to a car, household income, race/ethnicity, age, education, and neighborhood trips per capita. About 47% of nonstandard-vehicle trips were made in neighborhoods with the highest carless household rate, and 40% of those were made in SUVs. Better tips and higher star ratings imply standard-vehicle passengers had a higher level of satisfaction compared to nonstandard-vehicle passengers. Policy recommendations are made to incentivize carpooling in these extra-capacity vehicles through subsidies.     

Relationships among discretionary activity duration,its travel time spent and activity space indices in the Jakarta Metropolitan Area,Indonesia

This study examines the interdependencies among an individual's time allocation for different activities and the travel time spent on a given day, socio-demographic and built environment variables on these in-home and out-of-home discretionary activities time duration, and how interaction of those variables on discretionary activities time duration influences an individual's activity space indices in the Jakarta Metropolitan Area (JMA), Indonesia. The 3SLS model and the 2004 SITRAMP household travel survey were used to achieve this objective. The results show that the time allocation for certain discretionary activities significantly influences the time allocation for other discretionary activities. Workers, students and non-workers have different complex mechanisms pertaining to how they allocate time across different activities and journeys. This unique trade-off mechanism gives an individual a unique distribution of activity locations and spatial movement patterns. This is observed via his/her activity space indices throughout time and space. For example, the estimation result shows that workers' and students' time-use allocation, activities participation and activity space indices are highly influenced by their engagement in mandatory activities. However, this is not the case for non-workers. Furthermore, the mandatory travel time variable has a stronger impact on an individual's discretionary activities time-use pattern than the duration of mandatory activities. This may lead to the argument that, in order to provide more opportunities and flexibilities among the JMA's workers and students for undertaking discretionary activities, travel time reduction policies can play more significant role in shaping the discretionary activity-travel patterns than reduction in working/school hour policies. Additionally, in-line with previous findings in developed countries, locating grocery shops closer to residential areas in the CBD and in suburban areas creates more opportunities for workers and students to spend more time on out-of-home maintenance activities; with a shorter travel time, especially on Fridays.     

Micromobility evolution and expansion: Understanding how docked and dockless bikesharing models complement and compete – A case study of San Francisco

Shared micromobility – the shared use of bicycles, scooters, or other low-speed modes – is an innovative transportation strategy growing across the United States that includes various service models such as docked, dockless, and e-bike service models. This research focuses on understanding how docked bikesharing and dockless e-bikesharing models complement and compete with respect to user travel behaviors. To inform our analysis, we used two datasets from February 2018 of Ford GoBike (docked) and JUMP (dockless electric) bikesharing trips in San Francisco. We employed three methodological approaches: 1) travel behavior analysis, 2) discrete choice analysis with a destination choice model, and 3) geospatial suitability analysis based on the Spatial Temporal Economic Physiological Social (STEPS) to Transportation Equity framework. We found that dockless e-bikesharing trips were longer in distance and duration than docked trips. The average JUMP trip was about a third longer in distance and about twice as long in duration than the average GoBike trip. JUMP users were far less sensitive to estimated total elevation gain than were GoBike users, making trips with total elevation gain about three times larger than those of GoBike users, on average. The JUMP system achieved greater usage rates than GoBike, with 0.8 more daily trips per bike and 2.3 more miles traveled on each bike per day, on average. The destination choice model results suggest that JUMP users traveled to lower-density destinations, and GoBike users were largely traveling to dense employment areas. Bike rack density was a significant positive factor for JUMP users. The location of GoBike docking stations may attract users and/or be well-placed to the destination preferences of users. The STEPS-based bikeability analysis revealed opportunities for the expansion of both bikesharing systems in areas of the city where high-job density and bike facility availability converge with older resident populations.     

Expanding the positive utility of travel through weeklong tracking: Within-person and multi-environment variability of ideal travel time

Travel has been found to have a positive utility—often measured as a desire for non-zero travel time. Although past studies have found that desired travel time varies by trip attributes, they often focused on a single trip purpose (e.g., commute) or single time point (e.g., peak period of one day) and rarely captured variation within individuals and across multiple travel environments. To address these limitations, we employed a smartphone-based travel behavior survey of 186 users making 4397 trips in the Washington, DC, and Blacksburg, VA metropolitan areas. For each user, multiple trips were recorded and the user was asked to repeatedly report on the ideal travel time for each trip. We found that desired travel time varied across different trip environmental characteristics and purposes. Ideal travel time was longer for active travel trips, leisure trips, weekend trips, and when the user conducted activities during trips (e.g., talking, using the phone, looking at the landscape) and traveled with companions. Our study suggests the need for more realistic estimation of the value of travel time savings and the need for quantifying the effect of multitasking during travel on people's willingness to reduce travel time. Practitioners should also consider providing better urban infrastructure for pedestrians and bicyclists to fulfill their trips, as their ideal travel times closely match actual travel times.     

Journey quality as the focus of future transport policy

While personal travel seems to be growing inexorably, along with car ownership, other transport parameters are invariant: average travel time, trip rate, and the proportion of household income spent on travel. Past growth in personal travel may, therefore, be attributed to longer trips carried out at higher speeds and made possible by higher expenditure. For the future, the need to limit environmental detriments associated with the transport system requires the diversion of growing personal expenditure, from further increasing the quantity of travel to enhancing the quality of the journey. Policies and technologies to achieve this objective are discussed, including discriminatory road pricing.