Assessing the role of the built environment and sociodemographic characteristics on walking travel distances in Bogotá

Planning for more sustainable mobility is an important goal for public authorities worldwide. Setting better conditions for pedestrians and cyclists has been related to many social benefits, such as less pollution and congestion. Local authorities, aware of the relationship between transport and land-use, are adopting planning tools to analyze growth in cities and their impacts using multiple indicators. This paper develops an econometric trip length model that correlates socioeconomic characteristics and built environment conditions with walking travel distances in the city of Bogotá, Colombia. A log-linear regression model was estimated using information for 2015 of Bogotá's household travel survey, along with data of employment and population by block obtained from official sources. The built environment component of the model serves to evaluate the effect of land-use patterns. A proof of concept was developed using land-use information extracted from a Cellular Automata Land-Use model calibrated for the city. From its results, some factors of the built environment were estimated and two scenarios were tested in this study. One depicts the average walking distance for households surveyed in 2015, and the other takes a simulation of land-use policy in developing a new urban area as an input. The results indicate that people living in areas were the land-use mix and job/population ratio are low, tend to have longer walking distances, suggesting the need to implement special policies that reallocate some activities and encourage higher land-use mix in the urban periphery where low-income households tend to be located. The proposed method can identify the impact of land-use policies in the distances traveled by walking, facilitating the impact assessment of land-use regulations.     

The impact of low-cost carriers on airport choice in the US: A case study of the Washington–Baltimore region

Previous research has shown that low-cost carriers (LCCs) may stimulate traffic at an airport by offering low fares. Using passenger survey data from the Washington–Baltimore region’s three airports, we find that the benefits of LCCs to airports extend beyond the traffic generated directly by the LCCs through their low fares. In addition, we find that the mere presence of an LCC at an airport can attract passengers, even to competing carriers. These “halo effects” from LCC presence increase the significance to airport managers of attracting LCCs in order to generate passenger demand.     

Millennials’ travel motivations and desired activities within destinations: A comparative study of the US and the UK

Millennials are one of the largest groups to be targeted by tourism companies. This paper compares the travel motivations of Millennials from both the United States and the United Kingdom by ratings, rankings and perceptual structures of both push and pull factors. This exploratory study used a questionnaire to examine the inner motivations (e.g. push factors) and preferred destination activities (e.g. pull factors) of American and British Millennials (n?=?322). Data analysis included the non-parametric Mann–Whitney U test, Kendall’s coefficient of concordance, an alternating least-squares algorithm (ALSCAL) model and ordinal regression. The results reveal that American and British Millennials are quite homogeneous in their push travel motivations and destination activity preferences. The most important motivational factors for both are ‘to relax’ and ‘to escape from the ordinary’. Both nationalities also agree that the most attractive destination activities are ‘to try local food’ and ‘to go sightseeing’. The findings indicate that the US and UK samples are similar and that there is room for segmentation according to demographics.     

How vehicle ownership affect time utilization on study,leisure, social activities,and academic performance of university students? A case study of engineering freshmen in a rural university in Thailand

This study aims to investigate how the ownership of a private vehicle influences time utilization of university students, and whether it impacts their academic performance. This research analyzes travel/activity patterns of 130 engineering freshman students at a rural university in Thailand. An analysis of travel/activity data shows that vehicle ownership seems to play an important role in university student’s time utilization on various activities. It was found that those students who own a vehicle tend to spend less time for academic purposes, and more on leisure and social activities than non-owner students. Nevertheless, a further study using regression analysis on academic performance shows that the ownership of a vehicle does not seem to have a significant impact on the grade point average of students, once the cognitive ability and gender are accounted for. The findings imply that campus policies/measures that restrict the ownership or usage of a private vehicle in rural universities would improve the campus learning environment by influencing university students to put more attention on school-related activities, but such policies do not seem to impact on the academic performance of the college students.     

Network concentration and airport congestion in a post de-regulation context: A case study of Brazil 2000–2010

This paper empirically investigates the main drivers of airline network concentration in an air transport market subject to rapid growth. We consider the Brazilian air transport industry of the 2000s, in which network concentration rapidly increased and was followed by a period of massive flight delays and cancelations, which resulted in the “big blackout” of 2006–2007. We develop an econometric model of network concentration, accounting for demand, cost and competition variables that may affect the propensity of carriers to concentrate flights and passenger connections on a few airports of a network. The main focus of the paper is on the relation between networks leading to the problems of the blackout episode. We investigate the dynamic pattern of the evolution of concentration before and after the abnormal period of operations and find that concentration began to rise at least six quarters before, and persisted at a high level until two quarters after the blackout – and then plunged steeply toward the end of the decade. We believe that our analysis contributes to an improved understanding of the behavior of air transport systems subject to network concentration and congestion. With respect to methodology, we suggest and employ the use of alternative measures of network concentration to check the robustness and validity of our results.     

Aviation and the environment in the context of the EU–US Open Skies agreement

We examine the impacts of the EU–US Open Skies agreement on the environment on emissions from the aviation sector. We use the Hamburg Tourism Model of domestic and international tourist numbers and flows, to estimate these impacts. The Open Aviation Area will result in increased competition between carriers and falls in the cost of transatlantic flights. This will not only have implications for the size and structure of the industry but also for climate policy. The paper assesses what effects the expected increases in passenger numbers will have on CO₂ emissions and tests whether this increase in travel will result in a corresponding rise in emissions. Simulations show that passenger numbers arriving from the US to the EU will increase by between 1% and 14% depending on the magnitude of the price reductions because of substitution between destinations, the percentage increase in global emissions is much smaller (max. 1%) than the increase in cross-Atlantic traffic.     

The jobs–housing relationship and commuting in Beijing,China: the legacy of Danwei

China’s market-oriented reform has not only revitalized the economy but also changed the physical structure of Chinese cities, which used to be largely determined by the socialist Danwei (or work unit) system. In order to understand the impacts of the reform and the influence of Danwei on jobs–housing relationships and commuting behavior, this study investigates whether there are differences in commuting behavior between individuals who live in houses provided by Danwei and those who reside in houses from private market sources in urban China. We apply the structural equations model to investigate the interactions between housing source (from Danwei or not), jobs–housing relationship, transport mode and commuting time in Beijing, the capital city of China. The results show that Danwei housing commuters have shorter commuting trips and higher usage of non-motorized transport mode than those who live in houses from the market sources. This finding implies that the diminishing influence of the traditional Danwei system and the market-oriented reform in urban development may have changed the jobs–housing balance and increased travel demand in Chinese cities.     

Examining the impact of weather variability on non-commuters’ daily activity–travel patterns in different regions of Sweden

By jointly modelling the routine and leisure activity–travel engagements of non-commuters in different regions of Sweden, this paper explores the interactions between time allocation, travel demand and mode choice under different weather conditions. Combined weather and travel survey datasets that span a period of over 13 years were analysed. Simultaneous Tobit models were applied to explore the interactions among these activity–travel indicators, whilst municipalities’ unique conditions and heterogeneities between different time-points were taken into account. The model results reveal the trade-offs between routine and leisure activities in terms of activity duration, number of trips and travel time. Positive mutual endogeneity was found between slow-mode share in routine and leisure trips. The results also highlight the trade-offs between routine and leisure activities under abnormal weather conditions. Regional differences between weather effects are substantial due to differences in direct, indirect and total marginal effects. Between-municipality variability constitutes a considerable part of the variability in activity duration and travel time. Between-municipality variability in leisure activity duration and leisure travel time is larger in northern Sweden, while that of routine activity duration and routine travel time is larger in central Sweden, after weather and social demographics have been controlled.     

Residential self-selection and travel behaviour: What are the effects of attitudes,reasons for location choice and the built environment?

In studies of the effect of built environment on travel behaviour, residential self-selection is an increasingly important issue. Self-selection implies that households locate in places that provide them with conducive conditions for their preferred way of travelling. In these studies, it is assumed that attitudes toward different travel modes are an important factor in location choice, and that households are unconstrained in choosing their preferred residential location. This paper challenges these assumptions, by distinguishing between the more passive travel attitude and travel considerations as a deliberate reason to locate in a certain place. Based on a survey among 355 recently relocated households in Dutch TOD locations, we find that the association between travel attitude and residential environment is weak, and that the association between travel attitude and travel as a factor in location choice is moderate at best. Multivariate models show that both travel attitude and travel being a reason for location choice influence travel mode use, suggesting that travel attitude is insufficient to fully reflect self-selection processes. In comparison to other travel modes, train travel is most influenced by the fact whether residents deliberately chose to live in an environment conducive to using this mode.     

Gender differences in a walking environment safety perception: A case study in a small town of Banská Bystrica (Slovakia)

BackgroundA safe environment has been widely accepted as one of the most important walkability predictors. However, the relation between perceived safety and walkability has not been well established.AimsThis paper focuses on quantitative aspects of the relation between perceived safety and walkability, as well as examining spatio-temporal patterns of fear-related areas, with a special emphasis on gender differences among adolescents.Data and methodsData regarding walkability perception and safety perception was collected during a mapping exercise in primary and grammar schools in Banská Bystrica city (central Slovakia), with a final sample of 303 adolescents (13–16 years old, 54% girls). In the experiment, pre-prepared reply forms and maps divided into a square fishnet were used.ResultsRegardless of the time of day, girls felt less safe in public spaces than boys did, especially in the city centre. In general, fear-related spaces for boys were more dispersed than for girls, whose perceived risky areas were more compact and spatially concentrated. Girls' perception of walkability was more affected by feeling safe than that of boys, with fewer gender differences at night.ConclusionsBy mitigating and even eliminating threats observed by girls, gender differences in the perception of barriers to walking can be reduced.     

Analyzing the spatial–temporal evolution of a gateway’s hinterland: A case study of Shanghai,China

This paper analyzes the spatial–temporal evolution of the attractiveness of a country’s gateway for its international trade, using Shanghai as an example. The attractiveness is regressed on the transportation facilities and geographical conditions. Seaport development is found to have a major positive impact, followed by inland waterway, highway, and airport development. These positive impacts decrease with the need for highway haulage and with the distance from Shanghai—showing an inverse U-shape distribution. Rail appears to have a U-shape distribution, implying a low application of multimodal transportation. A geographical pattern for the impacts of different transportation modes is delineated.     

Influence of bus stop land use characteristics on passenger waiting time satisfaction ‐ A case study in Guangzhou

Researchers usually conduct a questionnaire survey at bus stops to obtain data regarding the satisfaction of bus passengers with waiting times. The results are affected by many factors. Among them, the land use of the bus stops was proved to have an important impact on the survey results. The main contribution of this paper is the introduction of propensity score matching (PSM) into the evaluation of passenger waiting time satisfaction. By eliminating interference factors, this paper can quantify the impact of the various land use types of bus stops. On this basis, a method to modify the survey results of passenger waiting time satisfaction is proposed. This paper takes data pertaining to passenger satisfaction with bus service quality in Guangzhou City in 2018–2019 as an example, and the findings include that: different land use types of sites have different effects (positive or negative) on passenger waiting time scores. Also, matching propensity scores can balance the distribution of covariates between the treatment and control groups, effectively excluding the interference of other factors. After correcting the original rating results, this study found that 61.84% of the routes' waiting time ratings were overestimated. This finding indicates that data correction is necessary to accurately identify passenger waiting time ratings. The waiting time satisfaction of people using residential stations can best reflect the actual level. Therefore, it is suggested that stations with residential land use in each administrative area should be taken as representatives to conduct a waiting satisfaction survey.     

Exploring causality in trade and air passenger travel relationships: the case of Asia-Pacific, 1980–2010

This paper explores the potential of heterogeneous Granger analysis in transport geography research by applying this method to a specific case of the often complex and potentially reciprocal linkages between the deployment of transport infrastructures and spatial economic development: the linkages between rising intra-regional volumes of trade and air passenger traffic in Asia-Pacific. Although conceptual and empirical linkages between both indicators can be assumed based on previous research, relatively little is known about the actual causality. Using heterogeneous Time Series Cross Section Granger causality analysis for the period 1980–2010, we explore the presence of four ‘causality scenarios’ amongst different country-pairs: (1) there is no co-evolution, implying that both patterns develop independently (e.g. Japan–Australia); (2) there is ‘real’ co-evolution in that both patterns influence each other through feedback loops (e.g. South Korea–Philippines); (3) air passenger traffic is facilitated by trade (e.g., South Korea–Philippines); or (4) trade is facilitated by air passenger traffic (e.g. Australia–Malaysia). Some tentative interpretations of this heterogeneity are offered.     

A case study of pricing strategies in European airline markets: The London – Amsterdam route

Published fares London–Amsterdam are used to examine the pricing practices of low-cost and legacy carriers when operating in a large and crowded market. We investigate two strategies of market segmentation involving the time before departure the ticket has been bought, inter-temporal segmentation, and the duration of the stay, implicit segmentation. We find inter-temporal price discrimination emerges as an important strategy for all pricing but the two legacy carriers involved, British Airways and KLM, differ in their use of stay restrictions; British Airways does not assign a specific role to the duration of stay, while KLM make use of such rules extensively in price setting.     

A GIS-based time-geographic approach of studying individual activities and interactions in a hybrid physical–virtual space

Modern information and communication technologies (ICT) are changing human activity and travel patterns that could have significant implications to our everyday lives and the human organization of space. Time geography, which examines human activities under various constraints in a space–time context, provides a useful framework to analyze the complex spatio-temporal relationships among activities and interactions taking place in both physical and virtual spaces. However, virtual activities and interactions conducted via ICT have characteristics that cannot be properly represented and analyzed under the classical time-geographic framework. This paper extends classical time-geographic concepts to accommodate the needs of representing and analyzing all activities and interactions in a hybrid physical–virtual space. In addition, this paper presents a space–time geographic information system (GIS) design that is capable of organizing complex activity and interaction data as spatio-temporal processes in an integrated space–time environment. This space–time GIS design offers a useful analytical environment for researchers to study increasingly dynamic human activity and travel patterns in today’s society and their implications toward changing travel demand patterns from both spatial and temporal perspectives.     

Food quality and the circulation time of commodities: lessons from the British milk trade 1845–1914

The major resurgence of transport geography over the last two decades has provided us with important insights and knowledge on the spatial aspects of transportation under global capitalism. In spite of its substantial progress, however, the sub-disciple has tended to study the movement of goods in abstraction from their physical properties and to conceptualize commodities as fixed and unchanging. Although this assumption is a reasonable one for a great many commodities, it is less so for more perishable goods, especially food. In an attempt to develop this insight further, this article argues that transport geography needs to pay more attention to the relationship between space–time processes and the physical properties of goods in transit. I investigate this relationship through a study of the development and social impacts of the milk trade in Britain c.1845–1914.     

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.     

The greenhouse gas mitigation potential of university commuting: A case study of the University of León (Spain)

This work analyzes the main drivers and critical aspects of mobility at the University of León (ULE) in Spain and its potential for mitigation of greenhouse gases (GHG). Through the implementation of a life cycle analysis (LCA) methodology (door-to-door and well-to-wheel approach), we examine the existing relationships between modal distribution, distances, travel times, urban structure, and direct and indirect carbon footprint and monetary costs of ULE users' commuting to its premises. Necessary primary information was collected by means of an online survey conducted on all ULE bodies and actors. Even though most distances traveled to the University are of <6 km (94.3% of the commutes), the use of the private car is second in importance (34%) after traveling by foot (41.5%), as well as the main hotspot in environmental terms (95% of GHG emissions). The results show how university policies focused on improving mobility habits (greater use of bus, bicycle and walking) can considerably reduce GHG emissions within a distance range of 0–6 km. For instance, the replacement of cars with bicycles (50% in <4 km distances) would reduce CO₂-eq emissions by 17.5% and increase monetary savings by 14.8%. However, 5.8% of the remaining travels (> 6 km) accumulate 49.4% of the emissions. Beyond that distance, behavior-oriented policies prove to be insufficient, and actions and measures at other levels encouraging technological change (use of electric cars and bicycles, etc.) and the improvement of infrastructures are also required. This article discusses the role of universities in promoting improvement of sustainable mobility within its premises.     

Determinants of passengers’ choice of airline check-in services: A case study of American,Australian, Korean,and Taiwanese passengers

This paper investigates factors that influence whether air travelers’ choose conventional counter or self-service check-in, including kiosk and web check-in. It uses data collected from American, Australian, Korean, and Taiwanese passengers. The data suggests that a passenger’s choice of check-in service is strongly dependent on nationality and previous experiences of checking-in; i.e. a cultural bias exists in the behavior of passengers using airline check-in services. Taiwanese passengers prefer to use the conventional counter check-in service but Korean, Australian and American air travelers use more self-service check-in facilities. The analysis also highlights that passengers’ perceptions of the attributes of the check-in service significantly determine their choice of check-in option.     

Managing crime and the fear of crime at railway stations––a case study in South Wales (UK)

Rail users consistently perceive their risks from crime to be significantly higher than official statistics suggest, discouraging many from using rail transport. The aims of the paper include a discussion of Crime Prevention Through Environmental Design (CPTED) and current policy initiatives for reducing crime and the fear of crime on the railways. This exploratory study focuses on adult passengers' perceptions of crime and nuisance as they relate to the management, design and maintenance of railway stations and their immediate access routes. The study innovatively utilises interactive virtual reality (VR) scenes of `representative' stations as the environmental stimulus and concludes that such an approach provides an analytical and pragmatic framework for managers of railway stations that are unlikely to receive Secure Station accreditation.