Results 51 to 60 of about 2,424 (194)

Understanding consumer demand for new transport technologies and services, and implications for the future of mobility

open access: yes, 2019
The transport sector is witnessing unprecedented levels of disruption. Privately owned cars that operate on internal combustion engines have been the dominant modes of passenger transport for much of the last century.
A Goodman   +40 more
core   +1 more source

Characterising group-cycling journeys using interactive graphics [PDF]

open access: yes, 2014
The group-cycling behaviours of over 16,000 members of the London Cycle Hire Scheme (LCHS), a large public bikeshare system, are identified and analysed.
Beecham, R., Wood, J.
core   +1 more source

Assessing service and price sensitivities, and pivot elasticities of public bikeshare system users through monadic design and ordered logit regression

open access: yesTransportation Research Interdisciplinary Perspectives, 2019
Pricing is one of the major factors that affects ridership and revenue of the bikeshare systems. This paper examines bikeshare users' sensitivity to changes in price and preferences on service by conducting an intercept survey at Capital Bikeshare (CaBi)
Shruthi Kaviti, Mohan M. Venigalla
doaj   +1 more source

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

open access: yes, 2020
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 ...
Feng, Frank   +4 more
core  

Moving beyond sequential design: Reflections on a rich multi-channel approach to data visualization [PDF]

open access: yes, 2014
We reflect on a four-year engagement with transport authorities and others involving a large dataset describing the use of a public bicycle-sharing scheme. We describe the role visualization of these data played in fostering engagement with policy makers,
Beecham, R., Dykes, J., Wood, J.
core   +2 more sources

Optimal locations for bikeshare stations: A new GIS based spatial approach

open access: yesTransportation Research Interdisciplinary Perspectives, 2020
This study identifies three new bike station locations for Baltimore City's bikeshare program using a location allocation spatial analysis tool. Over 1.6 million Global Positioning System (GPS) coordinates of bikeshare trips over a period of four months ...
Snehanshu Banerjee   +3 more
doaj   +1 more source

How does our natural and built environment affect the use of bicycle sharing? [PDF]

open access: yes, 2016
Public bicycle-sharing programs (PBSP) are short-term bicycle hire systems. In recent years their popularity has soared. This study examined Brisbane’s CityCycle scheme, the largest PBSP in Australia, and investigated the role of (natural and built ...
Bean, Richard   +3 more
core   +1 more source

Use Frequency of Metro–Bikeshare Integration: Evidence from Nanjing, China [PDF]

open access: yesSustainability, 2020
Promoting a transition in individuals’ travel mode from car to an integrated metro and bikeshare systems is expected to effectively reduce the traffic congestion that results mainly from commute trips performed by individual automobiles. This paper focuses on the use frequency of an integrated metro–bikeshare by individuals, and presents empirical ...
Yang Liu   +3 more
openaire   +1 more source

GIS-Based Equity Gap Analysis: Case Study of Baltimore Bike Share Program

open access: yesUrban Science, 2019
As more cities adopt bike share systems, questions regarding equity, accessibility, expansion, and bikability arise. Baltimore City implemented bike share in 2016 with plans to expand it up to 57 stations.
Istiak A. Bhuyan   +3 more
doaj   +1 more source

A rule-based model for Seoul Bike sharing demand prediction using weather data

open access: yesEuropean Journal of Remote Sensing, 2020
This research paper presents a rule-based regression predictive model for bike sharing demand prediction. In recent days, Pubic rental bike sharing is becoming popular because of is increased comfortableness and environmental sustainability.
Sathishkumar V E, Yongyun Cho
doaj   +1 more source

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