Exploring travel patterns and trip purposes of dockless bike-sharing by analyzing massive bike-sharing data in Shanghai,China

In recent years, dockless bike-sharing has rapidly emerged in many cities all over the world, which provides a flexible tool for short-distance trips and interchange between different modes of transport. However, new problems have arisen with the fast and extensive development of the dockless bike-sharing system, such as high running expenses, ineffective bike repositioning, parking problems and so on. To improve the operations of the dockless bike-sharing system, this study aims to investigate the travel pattern and trip purpose of the bike-sharing users by combining bike-sharing data and points of interest (POIs). A massive amount of bike-sharing trips was obtained from the Mobike company, which is a bike-sharing operator in China. The POIs surrounding each trip origin and destination were derived from the Gaode Map application programming interface. K-means++ clustering was adopted to investigate dockless bike-sharing travel patterns and trip purpose based on trip records and their surrounding POIs. The clustering results show that on weekdays, bike-sharing trip origin and destination can be divided into five typical groups, i.e., dining, transportation, shopping, work and residential places. Dining is the most popular trip purpose by bike-sharing, followed by the transferring to other transportation modes and shopping. In addition, through understanding the spatial distribution of the bike-sharing usage patterns of five typical activities, strategies for improving the operation of the dockless bike-sharing system are provided.     

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.     

Inferring the trip purposes and uncovering spatio-temporal activity patterns from dockless shared bike dataset in Shenzhen,China

Trip purpose is closely related to travel patterns and plays an important role in urban planning and transportation management. Recently, there has been a growing interest in investigating the spatio-temporal patterns of dockless shared-bike usage and its influencing mechanisms. Few, however, have focused on revealing the travel patterns by inferring the purpose of dockless shared-bike trips at the individual level. We present a framework for inferring the purpose of dockless shared-bike users, based on gravity model and Bayesian rules, and conduct it in Shenzhen, China. We consider the comprehensive factors including distance, time, environment, activity type proportion, and service capacity of points of interest (POIs), the last two factors of which were usually neglected in previous transport studies. Especially, we integrated areas of interest (AOIs) and Tencent User density (TUD) social media data characterize the service capacity of POIs, which reflect the area and scale differences of different POI categories. Through the comparison between two improved models and the basic model, it is demonstrated that the introduction of activity type proportion and service capacity of POIs can improve the effectiveness of model for inferring the purposes of dockless shared-bike trips. Based on the obtained trip purposes, we further explore the spatio-temporal patterns of different activities and gain some insights into bike travel demand, which can inform scientific decisions for bicycle infrastructure planning and dockless shared- bike management.     

Enhancing equitable service level: Which can address better,dockless or dock-based Bikeshare systems?

Dockless bikeshare systems show potential for replacing traditional dock-based systems, primarily by offering greater flexibility for bike returns. However, many cities in the US currently regulate the maximum number of bikes a dockless system can deploy due to bicycle management issues. Despite inventory management challenges, dockless systems offer two main advantages over dock-based systems: a lower (sometimes zero) membership fee, and being free-range (or, at least free-range within designated service areas). Moreover, these two advantages may help to solve existing access barriers for disadvantaged populations. To date, much of the research on micro-mobility options has focused on addressing equity issues in dock-based systems. We have limited knowledge of the extent to which dockless systems can help mitigate barriers to bikeshare for disadvantaged populations. Using San Francisco as a case study, because the city has both dock-based and dockless systems running concurrently, we quantify bikeshare service levels for communities of concern (CoCs) by analyzing the spatial distribution of service areas, available bikes and bike idle times, trip data, and rebalancing among dock-based and dockless systems. We find that dockless systems can provide greater availability of bikes for CoCs than for other communities, attracting more trip demand in these communities because of a larger service area and frequent bike rebalancing practices. More importantly, we notice that the existence of electric bikes helps mitigate the bikeshare usage gap between CoCs and other tracts. Our results provide policy insights to local municipalities on how to properly regulate dockless bikeshare systems to improve equity.     

‘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.     

The spatial spread of dockless bike-sharing programs among Chinese cities

In a short period of three years from 2016 to 2018, the latest generation of dockless bike-sharing programs that originated in Beijing have gone through a roller coaster ride of boom to bust. While their spatial presence has been highly visible globally, the rationale, process and outcomes of the spatial spread as well as the strategies and agents behind the spatial diffusion have so far been unknown. This paper explores the geography of diffusion of dockless bike-sharing programs by analysing data collected from multiple sources. The findings reveal that the geography of diffusion was itself a business strategy for entrepreneurs to manage competition. Dockless bike-sharing fleets were placed selectively in cities worldwide by aggressive program operators supported by profit-hungry venture capital. The push by these supply-side agents in the diffusion process makes it unique from the diffusion studies which focused on users. An uneven landscape is discernible in the diffusion outcomes characterised by the clusters of similar cities where dockless bike-sharing programs are either present or absent, and the outlier clusters which are surrounded by dissimilar neighbours. The process through which an uneven landscape was developed presents two contrasting diffusion trajectories – from large to small cities vs from small to large cities.     

Docked vs. dockless equity: Comparing three micromobility service geographies

Docked bike-share programs have proliferated worldwide, but studies find that the distribution of docked stations is geographically unequal. New dockless systems offer more flexibility compared to docked systems, but it remains unclear if dockless systems can address existing geographic inequities. This study examines all 32 US cities with both docked and dockless micromobility (bikeshare and e-scooter) programs and develops three service geography indicators to compare the geographic equity of docked versus dockless systems. We first use Lorenz curves and Gini indices to examine the overall spatial distribution of micromobility; we then use logistic and Tobit regressions to investigate how service geography corresponds to neighborhood characteristics. Results show that the distribution of docked systems is extremely unequal, and that dockless systems greatly reduce geographical inequalities relative to docked. Low-density areas and neighborhoods with low median household incomes, smaller shares of young people, and fewer zero-car households have limited micromobility service. Docked services are less prevalent in communities of color, and the implementation of dockless systems yields mixed outcomes for racial equity. Importantly, designated service areas do not always translate into available micromobility vehicles. Policymakers should use program design and performance metrics to address the mismatch between designated and actual service geographies and to ensure that micromobility services benefit marginalized communities.     

Mobility and labour market exclusion in the Barcelona Metropolitan Region

This article analyses the relationship between daily mobility and labour market exclusion. In many areas of the Barcelona Metropolitan Region, the predominant car-based mobility model and the secondary role of public transport discriminate against non-car users when it comes to job opportunities. This territory’s capacity to generate labour market inclusion is analysed based on multi-functionality and the level of public transport services which, in turn, serve as a basis for three territorial classifications: non-excluding, semi-excluding and excluding.     

Expanding the effect of metro station service coverage by incorporating a public bicycle sharing system

This study examines how metro stations can expand their service coverage for passengers by implementing a public bicycle sharing system (PBSS) in the vicinity. We design a stated preference method questionnaire to determine the choice behavior intention of metro passengers toward PBSS and calibrate the survey data using the mixed logit model. We also use a geographic information system to display this expansion in metro station service coverage following the incorporation of PBSS. We then conduct a cost-benefit analysis of PBSS incorporation into the metro system to determine its cost-effectiveness. The decision criteria for PBSS station allocation strategies as derived in this study can act as useful references for urban planners and PBSS operation agencies when initiating low-carbon and sustainable policies.     

Ethnic tourism in Lao PDR: gendered divisions of labour in community-based tourism for poverty reduction

A simultaneous analysis of gender and ethnicity provides a fuller understanding of how tourism initiatives benefit marginalised groups in developing countries. In this article, the gendered division of labour is analysed as a way to understand the micro-politics of ethnic tourism production aiming at poverty reduction in Laos. The aim is to demonstrate how constructions of gender and ethnicity impact on women's possibilities to benefit from community-based pro-poor tourism initiatives. Socially constructed notions of gendered behaviour influence divisions of tourism labour in specific spatialities, which we argue is crucial knowledge in the implementation of tourism projects aiming at poverty reduction. The assumption that ‘the poor’ constitute a homogenous group might hide an uneven distribution of tourism benefits in local communities. By focusing on factors which marginalise women, the article demonstrates inequalities between men and women in the division of tourism work. A village in northern Laos is used as a case study to examine aspects impacting on gendered divisions of labour in community-based tourism in Laos. Two examples, the Akha people's belief in and worship of spirits, and provision of massage, are used to illuminate reasons behind gendered imbalances in more detail.     

Evaluating transport user benefits and social surplus in a transport market—The case of the Norwegian ferries

The article first infers how consumer surplus in a market is linked to revenue under different assumptions about fare elasticity and when using different types of demand functions. This information is added to producer surplus in order to derive social surplus. The method, thus, produces a simple approach for authorities to assess social surplus in a market and its benefits to the users. A modified exponential demand function is applied to calculate consumer surplus and social surplus for 97 ferry services in Norway regulated by the state. The calculations are based on empirical data concerning ferry fare, revenue data at service level and reasonable assumptions about fare point elasticity for services covering different distances.In 2007, these services generated welfare for the users (consumer surplus) and the society (social surplus) amounting to about 5.8 billion NOK and 4.3 billion NOK, respectively. Consumer surplus and social surplus varied considerably amongst the services. Only 3 of the 97 services operate with positive profits and, hence, without subsidies. About 21 of the services contribute negatively to social surplus. Many of these unprofitable services are the only transport alternatives in rural areas and could be argued to continue operation according to politically decided regional measures. Implicitly, maintaining all these 21 services means that the welfare for the people in these areas is valued as up to four times greater than the welfare of the people in the rest of society.     

From Mobike to no bike in Greater Manchester: Using the capabilities approach to explore Europe's first wave of dockless bike share

Globally, bike share schemes are an element of a rapidly changing urban transport landscape. Whilst many docked schemes are now embedded in cities around the world, the recent explosion of dockless systems provides an opportunity to evaluate claims that this form of shared mobility has the potential to alleviate common barriers to cycling, relieve congestion, boost low carbon travel, get people active, and reduce social exclusion. Drawing on a mixed methods study of 2270 online survey respondents and 27 interviews, all living in, working in or visiting Greater Manchester during a trial of dockless bike share, we explore the ways in which the technological, spatial and practical configuration of bike share schemes relate to a city's infrastructure and existing cycling practices. We question assertions that bike share provision necessarily results in increased rates of cycling and enhanced social inclusion.By using a capabilities approach and utlilising the concept of ‘conversion factors’ to describe the differing capacities or opportunities that people have to convert resources at their disposal into ‘capabilities’ or ‘functionings’, we show how the practice of bike sharing can influence a population's propensity to cycle, as well as how bike share interacts with established barriers to cycling. We find that many established barriers to cycling remain relevant, especially environmental factors, and that bike share creates its own additional challenges.We conclude that bike share operators must recognise the role of personal and social conversion factors more explicitly and be sensitive to the social and physical geography of cities, rather than assuming that a ‘one size fits all’ approach is adequate. To do this they should engage more closely with existing bodies, including transport authorities and local authorities, in co-creating bike share systems. Using the capabilities approach enables us to identify ways in which it could be made relevant and accessible to a more diverse population.     

Understanding the usage of dockless bike sharing in Singapore

A new generation of bike-sharing services without docking stations is currently revolutionizing the traditional bike-sharing market as it dramatically expands around the world. This study aims at understanding the usage of new dockless bike-sharing services through the lens of Singapore's prevalent service. We collected the GPS data of all dockless bikes from one of the largest bike sharing operators in Singapore for nine consecutive days, for a total of over 14 million records. We adopted spatial autoregressive models to analyze the spatiotemporal patterns of bike usage during the study period. The models explored the impact of bike fleet size, surrounding built environment, access to public transportation, bicycle infrastructure, and weather conditions on the usage of dockless bikes. Larger bike fleet is associated with higher usage but with diminishing marginal impact. In addition, high land use mixtures, easy access to public transportation, more supportive cycling facilities, and free-ride promotions positively impact the usage of dockless bikes. The negative influence of rainfall and high temperatures on bike utilization is also exhibited. The study also offered some guidance to urban planners, policy makers, and transportation practitioners who wish to promote bike-sharing service while ensuring its sustainability.     

Supply and pricing strategies of informal rural transport providers

Informal paratransit operators using a range of vehicle types (including pickup trucks, small buses, and motorcycles) are a major provider of mobility in rural areas of the developing world. The paper describes a mixed method approach used to examine such operators’ decisions about vehicle deployment, route frequency, network organisation, and pricing in three rural districts in South Africa. New evidence is presented showing that the condition of rural roads (both paved and unpaved) affects the quantity and quality of public transport services provided, as well as the fares charged to passengers. This strengthens the case for judicious infrastructure investment as a way of improving rural access and livelihoods, and suggests how this might happen by way of leveraging better private sector responses. We also describe the emergence of a differentiated service hierarchy involving a variety of vehicle types suited to different operating conditions, and based on intentional coordination among operators of minibus and pickup truck (‘bakkie’) services. We argue that governments should promote such coordination and innovation in rural transport markets.     

Constructing sub-Saharan African mobilities through the flow of second-hand objects: Scripting bicycles for Namibian users

This article examines how civil society operates to configure mobilities for development contexts and subjects. In order to understand the politics and processes of constructing mobilities and the potential for decolonising mobility design, the paper traces the flow of second-hand bicycles from the global North to Namibia using a framework of Script Analysis. The issues of power in constructing social and technical meanings attributed to the bicycles are examined as they are re-valued for humanitarian use. The paper investigates how Namibian users subscribe to, reject and adapt the bicycles' meanings and physical properties in order suit their diverse needs, which are often disparate from techno-rational understandings of transport solutions for economic development. The analysis finds that the bicycle is prescribed singularly as an object that intends to technologically modernise utilitarian subjects in a universal development imaginary. Simultaneously, alternative framings of mobility, for example the way in which bicycles are appropriated to perform modern and global identities, are discouraged in hegemonic mechanisms of development.     

An approach to imputing destination activities for inclusion in measures of bicycle accessibility

This paper proposes a new method to estimate bicycle accessibility for various trip purposes based on a massive dockless bike-sharing dataset in Shanghai, China. Specifically, a Dirichlet multinomial regression topic model (DMR model) is applied to identify bicycle trajectories' trip purposes, simultaneously considering arrival time and drop-off location. Based on obtained trip purposes, we estimate impedance functions using a negative exponential function. Finally, based on estimated impedance functions, two cases of bicycle accessibility for two different purposes - restaurant and hospital - are presented in Shanghais central area. The results show that almost 90% of bicycle trips are less than 30 min or 5 km. Although the difference between the impedance functions between various trip purposes is not significant, we find that trip purposes of “Work and School” have the highest travel impedance for bicyclists. Cyclists in Shanghai accept longer bicycle travel times for leisure (e.g., shopping) than for commuting (e.g., work or school).     

New mobility service users' perceptions on electric vehicle adoption

The recent growth of new mobility services such as car-sharing (ZipCar, Car2Go) and ride-hailing (Uber, Lyft) has interesting implications for new vehicle technologies. We explore the users of the services and their relation to electric vehicles preferences by analyzing two large-scale mobility service surveys. A number of categories (car-share usage, ride-hail usage, commute mode, demographics, current vehicle attributes, environmental attitudes, technology attitudes, and life-stage information) are examined in order to determine the likelihood a respondent considers purchasing an electric vehicle in the future. Survey respondents explicitly expressed that exposure to ride-hailing did not increase their propensity for wanting to purchase an electric vehicle in the future. However, we run a full suite of cross-validation models and find that in addition to the typical factors used in modeling preferences, the use of new mobility services statistically increases the predictive power of our model to identify preferences for electric vehicles.     

An empirical analysis of dockless bike-sharing utilization and its explanatory factors: Case study from Shanghai,China

Revealing dockless bike-sharing utilization pattern and its explanatory factors are essential for urban planners and operators to improve the utilization and turnover of public bikes. This study explores the dockless bike-sharing utilization pattern from the perspective of bike using GPS-based bike origin-destination data collected in Shanghai, China. In this paper, utilization patterns are captured by decoupling several spatially cohesive regions with intensive bike use via non-negative matrix factorization. We then measure the utilization efficiency of bikes within each sub-region by calculating Time to booking (ToB) for each bike and explore how the built environment and social-demographic characteristics influence the bike-sharing utilization with ordinary least squares (OLS) regression and geographically weighted regression (GWR) models. The matrix factorization results indicate that the shared bikes mainly serve a certain area instead of the whole city. In addition, the GWR model shows higher explanatory power (Adjusted R² = 0.774) than the OLS regression model (Adjusted R² = 0.520), which suggests a close relationship between bike-sharing utilization and the selected explanatory variables. The coefficients of the GWR model reveal the spatial variations of the linkage between bike-sharing utilization and its explanatory factors across the study area. This study can shed light on understanding the demand and supply of shared bikes for rebalancing and provide support for operators to improve the dockless bike-sharing utilization efficiency.     

Effective regulation for sustainable public transport in developing countries

This paper has two key objectives. Firstly, using the findings from case study research undertaken in Colombo (Sri Lanka), Faisalabad (Pakistan) and Dar es Salaam (Tanzania), the paper seeks to demonstrate the importance of an appropriate regulatory framework and effective mechanisms of enforcement for sustainable urban transport systems in developing countries. Secondly, the paper highlights the critical importance of communication and co-ordination between stakeholders (defined here as transport users, providers and regulators) if regulation is to be effective. The views of poor and disadvantaged passenger groups—women, children, the elderly and disabled—are used in the paper to illustrate the importance of transport systems to their livelihoods, such as work, education, health and social pursuits. The case studies suggest that in the context of the failure of both the fully regulated public transport sector and the completely deregulated sector self regulation is a potentially useful alternative. In practice, self regulation has been achieved in the case study locations through the formation of cooperatives or associations of stakeholders such as users and operators.In the conclusion, the paper makes two key points. Firstly, that regulation must be open, honest and effective, but not so detailed or ‘heavy’ that it incites the potential for corrupt practices.Secondly, communication and co-ordination between stakeholders is critical if any form of regulation is to be effective—owners', employees' and passengers' associations have a vital role in this regard, as do Transport Forums consisting of all stakeholders. The participation of stakeholders and real and effective consultation are more important in the case of self regulation of public transport service provision than in other regulatory regimes.