Bike-Sharing-A new public transportation mode: State of the practice & prospects

2010 ◽  
Author(s):  
Shang Wang ◽  
Jiangman Zhang ◽  
Liang Liu ◽  
Zheng-yu Duan
Keyword(s):  
Public Transportation ◽  
Transportation Mode ◽  
New Public ◽  
Bike Sharing

scholarly journals Leveraging Integrated Bike-Sharing with Existing Bus Rapid Transit (BRT) to Reduce Motor Vehicle in Central Jakarta Municipal

2019 ◽  
Vol 6 (1) ◽  
pp. 13
Author(s):  
Daniella Daniella ◽  
Achmad Amri Dharma Wangsa
Keyword(s):  
Public Transportation ◽  
Motor Vehicle ◽  
Motor Vehicles ◽  
Walking Distance ◽  
Bus Rapid Transit ◽  
Rapid Transit ◽  
Transportation Mode ◽  
Smart Transportation ◽  
Bike Sharing ◽  
The Government

Jakarta is one of the most congested cities in the world due to a plethora of motor vehicles used in the city. One of the government actions to address the issue is by implementing Bus Rapid Transit (BRT) as an alternative public transportation mode. However, according to the convenience walking distance standard, the BRT coverage the inhabitant to choose motor vehicle rather than walking. This paper purposes Bike-Sharing as the smart transportation mode to overcome such issue and predict the three potential places to establish sharing-bike stations according to the convenience walking distance standard. In this paper the walking distance is classified into 100 mater range (300 meter, 400 meter and 500 meter) projected using the euclidean distance principle. As the result for 300 meter standard, there are 809 potential bike-sharing stations consist of 164 main stations and 645 feeder stations, while the 400 meter standard needs 541 potential stations with 140 stations serve the BRT station directly and 401 stations as the feeder. Furthemore, with 500 meter standard, 359 stations consist of 131 main stations and 228 feeder stations is needed.

A Study on the Transportation Mode Choice Behaviour of Individuals With Different Socio-Economic Status

2018 ◽  
pp. 476-493
Author(s):  
Arun Bajracharya
Keyword(s):  
Public Transportation ◽  
Economic Status ◽  
Mode Choice ◽  
Lower Class ◽  
Upper Class ◽  
Choice Behaviour ◽  
Transportation Mode ◽  
Socio Economic Status ◽  
Private Car ◽  
Transportation Mode Choice

This chapter presents a study on the transportation mode choice behaviour of individuals with different socio-economic status. A previously developed system dynamics model has been adopted by differentiating the population mass into upper, middle, and lower classes. The simulation experiments with the model revealed that generally the upper class individuals would be more inclined to use a private car (PC) instead of public transportation (PT) when their tendency is compared to middle and lower class individuals. It was also observed that lower class individuals would be more willing to use PT instead of PC when their tendency is compared to middle and upper class individuals. As such, it would be difficult to encourage the upper class individuals to use PT instead of PC, and it would be successively easier to do so in the case of middle and lower class individuals. However, the results also indicated that under certain different circumstances, the upper class individuals would also prefer to go for PT, and the lower class ones could prefer to own and use PC instead of PT.

scholarly journals Electric Bicycle-Sharing: A New Competitor in the Urban Transportation Market? An Empirical Analysis of Transaction Data

2019 ◽  
Vol 2673 (4) ◽  
pp. 15-26 ◽  
Author(s):  
Sergio Guidon ◽  
Henrik Becker ◽  
Horace Dediu ◽  
Kay W. Axhausen
Keyword(s):  
Public Transportation ◽  
Spatial Regression ◽  
Social Activity ◽  
Transaction Data ◽  
Fifth Generation ◽  
Transportation Service ◽  
Bike Sharing ◽  
Bicycle Infrastructure ◽  
Electric Bicycle ◽  
Key Drivers

Electric bicycles (e-bikes) are a new addition to bicycle-sharing and may improve its competitiveness. E-bikes allow for higher speeds at a higher level of comfort than conventional bicycles and, compared with traditional bicycle-sharing, e-bike-sharing is better positioned to complement or compete with existing public transportation, or to even challenge established taxi services. In this paper, eight months of transaction data from a free-floating e-bike-sharing system in Zürich, Switzerland, were used to study the market position of e-bike sharing and drivers of demand. The results of the analysis indicate that a large proportion of the trips are commuting, and that the distance range of e-bike-sharing trips overlaps with the distance ranges of traditional public transportation and taxi services. Intensity of use is sensitive to precipitation. Spatial regression modeling indicates that economic and social activity, public transportation service quality, and the availability of bicycle infrastructure are key drivers of demand for free-floating e-bike-sharing. Given the substantial differences in the service compared with traditional bicycle-sharing, a new fifth generation of bicycle-sharing schemes is proposed.

scholarly journals The Shared Bicycle and Its Network—Internet of Shared Bicycle (IoSB): A Review and Survey

Sensors ◽  
2018 ◽  
Vol 18 (8) ◽  
pp. 2581 ◽  
Author(s):  
Shu Shen ◽  
Zhao-Qing Wei ◽  
Li-Juan Sun ◽  
Yang-Qing Su ◽  
Ru-Chuan Wang ◽  
...  
Keyword(s):  
Public Transportation ◽  
Technology Development ◽  
Smart Cities ◽  
Transport Systems ◽  
Intelligent Transport Systems ◽  
Transportation Mode ◽  
Technical Problems ◽  
Intelligent Transport ◽  
Shared Bicycle ◽  
First Time

With the expansion of Intelligent Transport Systems (ITS) in smart cities, the shared bicycle has developed quickly as a new green public transportation mode, and is changing the travel habits of citizens heavily across the world, especially in China. The purpose of the current paper is to provide an inclusive review and survey on shared bicycle besides its benefits, history, brands and comparisons. In addition, it proposes the concept of the Internet of Shared Bicycle (IoSB) for the first time, as far as we know, to find a feasible solution for those technical problems of the shared bicycle. The possible architecture of IoSB in our opinion is presented, as well as most of key IoT technologies, and their capabilities to merge into and apply to the different parts of IoSB are introduced. Meanwhile, some challenges and barriers to IoSB’s implementation are expressed thoroughly too. As far as the advice for overcoming those barriers be concerned, the IoSB’s potential aspects and applications in smart city with respect to technology development in the future provide another valuable further discussion in this paper.

scholarly journals Heuristic Bike Optimization Algorithm to Improve Usage Efficiency of the Station-Free Bike Sharing System in Shenzhen, China

2019 ◽  
Vol 8 (5) ◽  
pp. 239 ◽  
Author(s):  
Zhihui Gu ◽  
Yong Zhu ◽  
Yan Zhang ◽  
Wanyu Zhou ◽  
Yu Chen
Keyword(s):  
Optimization Algorithm ◽  
Public Transportation ◽  
User Satisfaction ◽  
Small Scale ◽  
Supply And Distribution ◽  
Trip Chain ◽  
Large Numbers ◽  
Bike Sharing ◽  
New Type ◽  
Objective Basis

Station-free bike sharing systems (BSSs) are a new type of public bike system that has been widely deployed in China since 2017. However, rapid growth has vastly outpaced the immediate demand and overwhelmed many cities around the world. This paper proposes a heuristic bike optimization algorithm (HBOA) to determine the optimal supply and distribution of bikes considering the effect of bicycle cycling. In this approach, the different bike trips with separate bikes can be connected in space and time and converted into a continuous trip chain for a single bike. To improve this cycling efficiency, it is important to properly design the bicycle distribution. Taking Shenzhen as an example, we implement the algorithm with OD matrix data from Mobike and Ofo, the two large bike sharing companies which account for 80% of the shared bike market in Shenzhen, over two days. The HBOA results are as follows. 1) Only one-fifth of the bike supply is needed to meet the current usage demand if the bikes are used efficiently, which means a large number of shared bikes in Shenzhen remain in an idle state for long periods. 2) Although the cycling demand is high in many areas, it does not mean that large numbers of bikes are needed because the continuous inflow caused by the cycling effect of bikes will meet most of the demand by itself. 3) The areas with the highest demands for optimal bikes are residential, followed by industrial, public transportation, official and commercial areas, on both working and non-working days. This algorithm can be an objective basis for city related departments to manage station-free BSSs and be applied to design the layout of bikes in small-scale spatial units to help station-free BSSs operate efficiently and minimize the need to relocate the bikes without reducing the level of user satisfaction.

scholarly journals CONCEPT AND IMPLEMENTATION OF A NEW PUBLIC TRANSPORTATION SYSTEM THAT UNIFIES THE BUS AND TAXI SERVICES

2015 ◽  
Vol 71 (5) ◽  
pp. I_875-I_888 ◽  
Author(s):  
Hideyuki NAKASHIMA ◽  
Itsuki NODA ◽  
Hitoshi MATSUBARA ◽  
Keiji HIRATA ◽  
Emiko TAYANAGI ◽  
...  
Keyword(s):  
Public Transportation ◽  
Transportation System ◽  
New Public ◽  
Public Transportation System

Coping with complexity: Reconfiguring the navigation system for Santiago's new transportation plan

2008 ◽  
Vol 16 (3) ◽  
pp. 163-177 ◽  
Author(s):  
José Allard
Keyword(s):  
Public Transportation ◽  
Navigation System ◽  
Radical Change ◽  
New Public ◽  
Main Components ◽  
The City ◽  
Transportation Plan ◽  
The Way

This article1 reviews the navigation system developed for Santiago de Chile’s new public transportation plan “Transantiago” which considers a radical change in the way million of users navigate the city. It introduce some of the particular variables that affected the way the project was conceived, designed and implemented, presenting two of its main components: the Transantiago’s Typeface System and its Network Map.

Planning New Public Transportation in Berlin

1997 ◽  
Vol 7 (4) ◽  
pp. 231-232 ◽  
Author(s):  
Klaus-Dieter Mönnich ◽  
Jörg Erdmann
Keyword(s):  
Public Transportation ◽  
New Public
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