Spatio-temporal patterns of a Public Bicycle Sharing Program: the effect of weather and calendar events

Corcoran, Jonathan; Li, Tiebei; Rohde, David; Charles‐Edwards, Elin; Mateo-Babiano, Iderlina

doi:10.1016/j.jtrangeo.2014.09.003

Cited by 204 publications

(86 citation statements)

References 22 publications

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“…Some studies have shown that adverse weather conditions and calendar attributes (working days, weekends, and holidays) have an impact on system use [19], and passenger reduction is related to low temperatures, rainfall, and high humidity.…”

Section: Climate and Weathermentioning

confidence: 99%

Research Progress on Complexity of Public Bicycle Trip Behavior

Li¹

2018

Proceedings of the 2018 International Conference on Network, Communication, Computer Engineering (NCCE 2018)

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Abstract.With the rapid development of public bicycle systems, it has taken only half a century since the development of the first generation of bicycles in the Netherlands to the fourth generation of bicycle sharing systems supported by information technology. By combing relevant literatures on public bicycle systems both at home and abroad, this paper systematically introduces the research progress and insufficiencies of the public bicycle system's user characteristics, the use of influencing factors, route selection and other public transport modes. Based on literature surveys, we judged: (1) Deepening the sharing of operating model innovations in fixed-site public bicycle systems, (2) Improving public bicycle system-related laws and regulations, (3) Supporting, managing, and monitoring public bicycle systems in an overall strategy. Development, (4) to achieve intelligent, standardized management, will become the main research direction and key areas of public bicycle cycling behavior in the next few years.Keywords: Public bicycles system, user characteristics, use of influencing factors, development hindrance, Future direction. FOREWORD Research BackgroundWith the development of the global economy, the increase in vehicle ownership has made the greenhouse effect, traffic congestion, environmental pollution, noise pollution and energy shortage more serious. With the acceleration of urbanization, a large number of populations, such as central cities and central cities, radiate, making the road traffic contradiction worse. In many parts of the world, many cities encourage residents to use green and low-carbon travel modes instead of private cars. Local governments are also vigorously promoting the bicycle sharing system (BSS), which is commonly referred to as the public bicycle system. The bicycle sharing system is particularly useful in short-distance travel in big cities and effectively solves the "last mile" problem of travel. In recent years, in some small and medium-sized cities, bicycle sharing systems have gradually begun to be implemented. MeaningAlthough bicycle sharing systems have a history of more than 50 years, they have received more attention in recent years because they play an important role in reducing the impact of traffic on the environment. The bicycle sharing system provides several important benefits to the city, including improving traffic choices and flexibility, increasing physical activity levels, reducing congestion, transportation costs and air pollution [1], reducing road congestion [2], and reducing carbon emissions. Public bicycles are part of public transportation and can effectively alleviate the "last mile" problem of urban transportation, integrate with public transportation, subway and BRT, and realize "door-to-door" services for public transportation. Second, providing short-distance travel solutions for cities can effectively alleviate the growing pressure on public transportation.

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Section: Climate and Weathermentioning

confidence: 99%

Research Progress on Complexity of Public Bicycle Trip Behavior

Li¹

2018

Proceedings of the 2018 International Conference on Network, Communication, Computer Engineering (NCCE 2018)

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“…The relative importance of a given trip also concords with the results of studies in Scotland (Al Hassan & Barker, 1999) and Shenzhen, China (Zhou et al, 2017) that each show that weather is much more influential during weekends (Al Hassan and Barker (1999) and off-peak hours (Zhou et al, 2017) where travellers are more likely to be in a position to adjust their travel plans to suit the prevailing conditions. Weather has also been shown to exert an effect across various of modes of travel including active transport (Corcoran, Li, Rohde, Charles-Edwards, & Mateo-Babiano, 2014;Nankervis, 1999), bus (Arana, Cabezudo, & Peñalba, 2014;Tao, Corcoran, Hickman, & Stimson, 2016), train (Brazil et al, 2017), subway (Singhal, Kamga, & Yazici, 2014), general road traffic (Cools, Moons, Creemers et al, 2010), inter modal transfer (Gong, Currie, Liu, & Guo, 2017) as well as influence modal choice (Anta, Pérez-López, Martí-nez-Pardo, Novales, & Orro, 2016).…”

Section: Introductionmentioning

confidence: 99%

Mapping spatial patterns of bus usage under varying local temperature conditions

Corcoran

Sui

2017

Journal of Maps

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Weather influences our daily travel decisions in a number of important ways. At the individual scale, weather has been shown to influence trip-making behaviours where inclement conditions can induce re-scheduling, re-routing and cancellation of a planned journey. Furthermore at the transit system-level, poor weather can increase traffic congestion and reduce operational efficiencies. While some research has examined the weather-transit relationship, focus on the spatial dimension remain in their infancy. In this paper we adopt a visual analytic approach to spatially explore the complex weather-transit relationship at a micro geographical scale. We demonstrate that through spatially integrating a large disaggregate smart card database of bus ridership with hourly local weather measurements we can reveal how 'heat stress' changes the way in which passengers use the public transit system in subtropical Brisbane, Australia. Our approach has the potential for broader application across other public and private transport and climatic contexts to unveil the way in which weather influences our daily travel behaviour. ARTICLE HISTORY

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“…For example, the only two BSS schemes in Australia, Brisbane and Melbourne, have not attracted as much use as anticipated [60]. In Brisbane, there were only 200,000 trips over 20 months [61]. In Mumbai India, the BSS was closed due to lack of use and failure to implement the model on a sufficiently large scale [62].…”

Section: Bss Overviewmentioning

confidence: 99%

“…Other studied data sets are from Chicago [73,80,98,99], Lyon [63,65,74,100], Boston [12,76,80,101], Barcelona [11,70,102], Hangzhou [15,16,103], Brisbane [61,83], Minneapolis [76,104], Vienna [105,106], Denver [76,84], Pisa [64,107], Dublin [14,108], Minnesota [84], Seville [102], Montreal [109] Helsinki [110], Vancouver [111], Nanjing [112], and Castellon [113]. In addition to BSS data, some of those studies also used weather data as a feature of their analyses.…”

Section: Previous Bss Studiesmentioning

confidence: 99%

“…Using 20 months of Brisbane bike data that comprised 285,714 trips, Corcoran et al [61] examined the trip flows in three levels which are system-wide, suburb to suburb, and station to station with respect to weather. They employed the flow-comap to observe to what degree the weather conditions will modify the dynamics of BSS usage both spatially and temporally.…”

Section: Weather Effects On Bssmentioning

confidence: 99%

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Spatiotemporal analysis of urban mobility dynamics: a case study of bicycle sharing system

Purnama¹

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Spatio-temporal patterns of a Public Bicycle Sharing Program: the effect of weather and calendar events

Cited by 204 publications

References 22 publications

Research Progress on Complexity of Public Bicycle Trip Behavior

Research Progress on Complexity of Public Bicycle Trip Behavior

Mapping spatial patterns of bus usage under varying local temperature conditions

Spatiotemporal analysis of urban mobility dynamics: a case study of bicycle sharing system

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