Статті в журналах: "Smart bike"

1

Cichosz, Marzenna. "IT solutions in logistics of smart bike-sharing systems in urban transport." Management 17, no. 2 (December 1, 2013): 272–83. http://dx.doi.org/10.2478/manment-2013-0071.

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Summary IT solutions in logistics of smart bike-sharing systems in urban transport In recent years, the public transport of Krakow, Rzeszow, Wroclaw, Poznan, Opole and Warsaw has expanded into the third generation bike-sharing programs - smart bikes. It’s an innovative solution, deploying IT systems and technology to integrate individual stations of urban bike rental system. The article presents the business model solution, its functionality from the perspective of customers and operator, and shows the role of IT solutions support in managing the logistics of rental network. An illustrative case of „Veturilo” solution implementation is presented.

2

Reddy, Nelakurthi Spoorthi. "Smart Helmet." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (June 30, 2021): 4075–89. http://dx.doi.org/10.22214/ijraset.2021.35851.

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Road accidents are increasing day by day because the riders are not using the helmet and due to consumption of alcohol. In today's world, huge numbers of people are dying on road accidents. By using smart helmet, the accidents can be detected. The main target of the project is designing a smart helmet for accident avoidance and alcohol detection. The features of the Smart Helmet are wearing helmet, detection of alcohol, detection of accident. If the person is not wearing helmet the bike will not start and it displays on the LCD. The alcohol sensor recognizes the alcoholic substance in the rider's breath. If the person is drunk then alcohol sensor detects it and displays on the LCD and the bike will not start. If there is no detection of alcohol then the bike starts. If there is no sign of alcoholic substance present and helmet is used, only then the bike will start. The bike will not start if any of the two conditions is violated. If an accident is occurred then it is detected by Vibration sensor and alarm is activated. If the person is in conscious state, then the person can off the alarm and no message is sent to the saved numbers. If the person is in unconscious state, then message will be sent to the saved numbers in GSM module and sends the location to them by GPS. With the use of Smart Helmet, accident rate can be reduced.

3

Bieliński, Tomasz, and Agnieszka Ważna. "Hybridizing bike-sharing systems: the way to improve mobility in smart cities." Transport Economics and Logistics 79 (October 23, 2018): 53–63. http://dx.doi.org/10.26881/etil.2018.79.04.

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New generation of bike-sharing systems introduce a wide range of smart solutions. Dockless bicycles equipped with GPS and accessible by smartphone applications as well as electric bikes are considered to be solutions to many socioeconomic and environmental urban problems. However, older generation of bike-sharing systems equipped with dockings stations have some advantages over free floating public bicycles. The aim of this paper is to examine if hybridization of both systems may become an opportunity to improve bike-sharing services. The paper presents characteristics of both types of bike-sharing schemes and describes the examples of hybrid models to show benefits of this solution. Chosen methodology is the case study of selected European bike-sharing systems which combine features of both schemes – the dockless and the station-based.

4

Billhardt, Holger, Alberto Fernández, and Sascha Ossowski. "Smart Recommendations for Renting Bikes in Bike-Sharing Systems." Applied Sciences 11, no. 20 (October 16, 2021): 9654. http://dx.doi.org/10.3390/app11209654.

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Vehicle-sharing systems—such as bike-, car-, or motorcycle-sharing systems—have become increasingly popular in big cities in recent years. On the one hand, they provide a cheaper and environmentally friendlier means of transportation than private cars, and on the other hand, they satisfy the individual mobility demands of citizens better than traditional public transport systems. One of their advantages in this regard is their availability, e.g., the possibility of taking (or leaving) a vehicle almost anywhere in a city. This availability obviously depends on different strategic and operational management decisions and policies, such as the dimension of the fleet or the (re)distribution of vehicles. Agglutination problems—where, due to usage patterns, available vehicles are concentrated in certain areas, whereas no vehicles are available in others—are quite common in such systems, and need to be dealt with. Research has been dedicated to this problem, specifying different techniques to reduce imbalanced situations. In this paper, we present and compare strategies for recommending stations to users who wish to rent or return bikes in station-based bike-sharing systems. Our first contribution is a novel recommendation strategy based on queuing theory that recommends stations based on their utility to the user in terms of lower distance and higher probability of finding a bike or slot. Then, we go one step further, defining a strategy that recommends stations by combining the utility of a particular user with the utility of the global system, measured in terms of the improvement in the distribution of bikes and slots with respect to the expected future demand, with the aim of implicitly avoiding or alleviating balancing problems. We present several experiments to evaluate our proposal with real data from the bike sharing system BiciMAD in Madrid.

5

Et al., Dr Siddhartha Choubey. "INTERNET OF THINGS BASED SMART BIKE SYSTEM." INFORMATION TECHNOLOGY IN INDUSTRY 9, no. 1 (March 10, 2021): 640–44. http://dx.doi.org/10.17762/itii.v9i1.182.

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Present invention relates to IoT enabled smart bike. The object of the proposed invention is to provide a smart bike which has many smart features like gesture controlled horn and ignition, temperature monitoring of engine, also shows the real time distance and time remaining to arrive the destination. The preferred embodiment comprises of Wi-Fi module, ultrasonic sensor,accelerometer and cloud platforms for managing and processing sensor data. The Smart Bike saves the travelling time and reduces the possibility of road accident by a warning buzzer system. Following invention is described in detail with the help of Figure 1 of sheet 1 showing the schematic diagram for the proposed invention.

6

Bui, Van-Tung, Chyi-Ren Dow, Yu-Chi Huang, Pei Liu, and Vu Duc Thai. "A Canopen-Based Gateway and Energy Monitoring System for Electric Bicycles." Energies 13, no. 15 (July 22, 2020): 3766. http://dx.doi.org/10.3390/en13153766.

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The limitation of battery capacity is a cause of range anxiety that reduces the wide use of electric bicycles (e-bikes). Therefore, many works have developed systems that provide assistance to cyclists to deal with the range anxiety problem. However, these systems may have limited applications since they can only work with the e-bike manufacturers’ hardware and communication protocols. This paper proposes an energy monitoring system (EMS) for e-bikes, which is based on EnergyBus, a standardized hardware and communication protocol for e-bikes. EnergyBus standard is based on controller area network (CAN) bus and CANopen protocols. EMS comprises a gateway connected to EnergyBus of e-bike and an EMS application installed on a smart device that connects to the gateway via Bluetooth. The gateway provides CAN bus monitoring and CANopen device data access services to the smart device. These services are modeled to determine gateway parameters to ensure the efficient performance of the gateway and to keep the working status of the monitored e-bike safe. The EMS application provides the cyclist information about battery status, rider efforts, and other related information such as distance and speed. Experimental results show that the proposed gateway can monitor data in real-time and ensure monitored system safety.

7

Shravya, Keesari, Yamini Mandapati, Donuru Keerthi, Kothapu Harika, and Ranjan K. Senapati. "Smart helmet for safe driving." E3S Web of Conferences 87 (2019): 01023. http://dx.doi.org/10.1051/e3sconf/20198701023.

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A smart helmet is a type of protective headgear used by the rider which makes bike driving safer than before. The main purpose of this helmet is to provide safety for the rider. This can be implemented by using advanced features like alcohol detection, accident identification, location tracking, use as a hands free device, fall detection. This makes it not only a smart helmet but also a feature of a smart bike. It is compulsory to wear the helmet, without which the ignition switch cannot turn ON. An RF Module can be used as wireless link for communication between transmitter and receiver. If the rider is drunk the ignition gets automatically locked, and sends a message to the registered number with his current location. In case of an accident it will send a message through GSM along with location with the help of GPS module. The distinctive utility of project is fall detection; if the rider falls down from the bike it sends a message.

8

Mane, Atharva. "Smart Device for Bikers to Prevent from Accident and Motorcycle Security." International Journal for Research in Applied Science and Engineering Technology 9, no. VII (July 10, 2021): 137–40. http://dx.doi.org/10.22214/ijraset.2021.36274.

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In the current situation many people lost their life due to accidents and the main reason behind it is they are not wearing helmets. So, by wearing a helmet people can save their life and for compulsory use of a helmet, it should be linked with a bike. With this reason, bikemet project is specially developed. This is a combination of a bike and helmet that has become smarter and safer than before with the aid of IoT. The BikeMet has a Proximity sensor which makes the user compulsorily wear the helmet and if still there is an emergency, then there is a keypad provided which will allow the user to use the bike by entering a Pin so it is convenient for the user to rid out from the situation. In the mechanism of bikemet, bike and helmet are linked together and they transmit the data from the helmet to the receiver of the bike and hence if the user wears a helmet, then only the user will be able to turn on the bike. The bike has various sensors like track if the bike gets stolen then automatically off the ignition of the bike and like Accelerometer to detect accidents and send messages to respective people for giving information. So, this application can save many lives.

9

Yawle, Smita. "IoT based Smart Bike Monitoring System." International Journal for Research in Applied Science and Engineering Technology 7, no. 4 (April 30, 2019): 1458–61. http://dx.doi.org/10.22214/ijraset.2019.4264.

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10

Chintawar, Kshiti. "IoT: Smart Helmet for Bike Rider." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (June 30, 2021): 4809–14. http://dx.doi.org/10.22214/ijraset.2021.35900.

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Road accidents are increasing in our country, most of them are caused due to negligence of not wearing the helmet, drink and drive and over speeding which many leads to death or severe injuries due to lack of medical treatments provided to the injured person at right time. This motivates us to think about making a system which ensures the safety of biker, by making it mandatory to wear the helmet by the rider to prevent head injuries that may lead to immediate death, prevent drink and drive scenario by testing the breath of the rider before the ride, prevent over speeding and rash riding by alerting the rider and also to provide proper medical attention, if met with an accident by notifying the concerned person with the location details.

11

Basha, S. Shafiulla. "Smart Helmet for Bike Riders Safety." International Journal for Research in Applied Science and Engineering Technology 10, no. 2 (February 28, 2022): 441–47. http://dx.doi.org/10.22214/ijraset.2022.40293.

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Abstract: With the growing number of 2-wheel motor vehicles, the frequency of accidents is on the rise. A major portion of the fatalities occur because the person was either not wearing a helmet, or his accident was not reported in time, and he could not be saved because of the delayed admittance to a hospital, or because he was riding while drunk. For this purpose, we use onboard sensors – gas Sensor, mems sensor. The accelerometer measures the change in tilt, in X Y and Z axes respectively, and sends the data to a server via an online application programming interface (API). The breath analyzer senses the amount of alcohol present in the breath of a person wearing the helmet and reports if it is beyond the legal limit. This can help optimize accident detection in the future when enough data is gathered to provide reliable accuracy. This will ensure the holistic safety of the rider at all times. This project presents an alert of the accident detection techniques by using smart helmet detection. Keywords: Alcohol detection, Helmet Detection, Arduino development board, MQ-2 Alcohol sensor, GSM, GPS, Accident detection

12

Chorge, Snehal, Hemkedar Kurale, Sonali Deshmukh, and Deepa Mane. "SMART HELMET: SMART SOLUTION FOR BIKE RIDERS AND ALCOHOL DETECTION." International Journal of Advanced Research 4, no. 11 (November 30, 2016): 1891–96. http://dx.doi.org/10.21474/ijar01/2289.

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13

Liu, Pei, Junlan Chen, Heyang Sun, Xiucheng Guo, Yan Wang, and Zhenjun Zhu. "Assessing Accessibility of Dockless Sharing-Bike Networks by the Social Network Analysis Method." Journal of Advanced Transportation 2021 (June 30, 2021): 1–13. http://dx.doi.org/10.1155/2021/5584008.

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Dockless sharing bikes play an increasingly significant role in transit transfer, especially for the first/last mile. However, it is not always accessible for users to find sharing bicycles. The objective of this paper is to assess the accessibility of dockless sharing bikes from a network perspective, which would provide a decision-making basis not only for potential bike users but also for urban planners, policymakers, and bicycle suppliers to optimize sharing-bike systems. Considering bicycle travel characteristics, a hierarchical clustering algorithm was applied to construct the dockless sharing-bike network. The social network analysis (SNA) method was adopted to assess the accessibility of the bike network. Then, a spatial interaction model was chosen to conduct a correlation analysis to compare the accessibility obtained from the SNA approach. The case study of Shanghai indicates a strong connection between the accessibility and the SNA indicators with the correlation coefficient of 0.779, which demonstrates the feasibility of the proposed method. This paper contributes to a deep understanding of dockless sharing-bike network accessibility since the SNA approach considers both the interaction barriers and the network structure of a bicycle network. The developed methodology requires fewer data and is easy to operate. Thus, it can serve as a tool to facilitate the smart management of sharing bikes for improving a sustainable transportation system.

14

Liu, Yang, and Jun Huang. "Design and Implementation of Public Bike Smart Lease System." Advanced Materials Research 998-999 (July 2014): 1104–7. http://dx.doi.org/10.4028/www.scientific.net/amr.998-999.1104.

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This paper presents an intelligent urban public bike leasing system based on ARM. This system takes S5PV210 microprocessor as the core of the terminal system and constitutes the public bike rental point with Intelligent parking device connected to the CAN bus. This system based on Android, Embedded Linux operating system CAN bus and GPRS remote data transmission technology designs the hardware and the software of the terminal and designs the software of the data center using I/O multiplexing. The system guarantees the efficient operation of public bike rental, and provides more intelligent and personalized service to users.

15

Li, Guofu, Ning Cao, Pengjia Zhu, Yanwu Zhang, Yingying Zhang, Lei Li, Qingyuan Li, and Yu Zhang. "Towards Smart Transportation System." Journal of Organizational and End User Computing 33, no. 3 (May 2021): 35–49. http://dx.doi.org/10.4018/joeuc.20210501.oa3.

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Smart transportation system is a cross-field research topic that involves both the organizations that manage the large-scaled system and individual end-users who enjoy these services. Recent advancement of machine learning-based algorithms has either enabled or improved a wide range of applications due to its strength in making accurate predictions for complex problems with a minimal amount of domain knowledge and great ability of generalization. These nice properties imply potential to be explored for building smart transportation system. This paper studies how deep reinforcement learning (DRL) can be used to optimize the operating policy in modern bike sharing systems. As a case study, the authors demonstrate the potential power of the modern DRL by showing a policy-gradient-based reinforcement learning approach to the rebalancing problem in a bike sharing system, which can simultaneously improve both the user experience and reduce the operational expense.

16

Bang, Green, Bokyung Sung, and Ilju Ko. "Design of Smart Bike Studio for Sportainment." Journal of Korea Game Society 17, no. 5 (October 31, 2017): 89–102. http://dx.doi.org/10.7583/jkgs.2017.17.5.89.

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17

Warlina, L., and Y. A. Hermawan. "Smart Bike Sharing System as Sustainable Transportation." IOP Conference Series: Materials Science and Engineering 879 (August 7, 2020): 012153. http://dx.doi.org/10.1088/1757-899x/879/1/012153.

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18

Munkácsy, András, and Andrés Monzón. "Impacts of Smart Configuration in Pedelec-Sharing: Evidence from a Panel Survey in Madrid." Journal of Advanced Transportation 2017 (2017): 1–11. http://dx.doi.org/10.1155/2017/4720627.

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Despite the recently increasing research interest, this is one of the first studies employing a panel sample of users and nonusers to understand the bike-sharing phenomenon (N=205). On the basis of a novel surveying technique, a case study on the clients of the state-of-the-art bike-sharing scheme of Madrid (Spain) is presented. BiciMAD is a system of the latest generation, namely, multimodal demand responsive bike-sharing: a fleet of electric pedal-assisted bicycles (pedelecs) with an advanced technology and unique smart service configuration to tackle challenges that may hinder the promotion of cycling and bike-sharing in the city. A statistical test has verified that there is a moderate association between previous intention and actual use of bike-sharing (Cramer’s V = 0.25) and both barriers and motivators of further use have been identified. Indicators on mobility patterns show that although drawing primarily from other sustainable modes of transport, bike-sharing has increased mobility (total number and distance of trips) and especially active travel but decreased the perceived travel time.

19

P N, Sharath. "Smart Helmet an Aid to Save Rider by Using Microcontroller." International Journal for Research in Applied Science and Engineering Technology 9, no. VII (July 25, 2021): 2091–95. http://dx.doi.org/10.22214/ijraset.2021.36833.

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A smart helmet is a type of protective headgear used by the rider which makes bike driving safer than before. To Provide safety for the rider, the rider has to wear the helmet. By using advanced features like alcohol detection, accident identification, location tracking, fall detection. It is a hands free device. This is not only a smart helmet but also a feature of a smart bike. It is compulsory to wear the helmet, without which the ignition switch cannot turn ON. An RF Module is used as an wireless link for communication between receiver and transmitter. The ignition gets locked automatically when the rider is drunk , and sends a message to the registered number with his current location. If accident occurs it will send a message through GSM along with location with the help of GPS module. The distinctive utility of project is fall detection; if the rider falls down from the bike it sends a message to the registered mobile number.

20

Catargiu, George, Eva-H. Dulf, and Liviu C. Miclea. "Connected Bike-smart IoT-based Cycling Training Solution." Sensors 20, no. 5 (March 7, 2020): 1473. http://dx.doi.org/10.3390/s20051473.

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The Connected Bike project combines several technologies, both hardware and software, to provide cycling enthusiasts with a modern alternative solution for training. Therefore, a trainer can monitor online through a Web Application some of the important parameters for training, more specifically the speed, cadence and power generated by the cyclist. Also, the trainer can see at every moment where the rider is with the aid of a GPS module. The system is built out of both hardware and software components. The hardware is in charge of collecting, scaling, converting and sending data from sensors. On the software side, there is the server, which consists of the Back-End and the MQTT (Message Queues Telemetry Transport) Broker, as well as the Front-End of the Web Application that displays and manages data as well as collaboration between cyclists and trainers. Finally, there is the Android Application that acts like a remote command for the hardware module on the bike, giving the rider control over how and when the ride is monitored.

21

P, Dharani, Ganesh T, Gopinath V, and Sharmasth Vali Y. "Smart Safety Helmet for Bike Riders using IoT." International Research Journal of Multidisciplinary Technovation 2, no. 4 (July 30, 2020): 21–30. http://dx.doi.org/10.34256/irjmt2044.

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According to the law of the Indian government as per section 129 of the motor vehicle act of 1988 briefly explains the motorcycle or two-wheeler rider is mandatory to wear the helmet while driving and the recent survey conducted on road accidents by the world health organization (WHO). This WHO organization has briefly mentioned the cause and the prevention of road accidents that are happened around the world. They also mentioned the highest death rate that took place in India and the survey also reported as per the rate 1.5 lakh of road death has been accounted for by each year approximately. The above article motivates us to develop a system that is capable of providing safety and precaution to the bike rider. We designed a system that is capable of detecting the rider is whether wearing the helmet or not. Then detecting if the rider has consumed alcohol or not, whether if these two conditions are yet satisfied then only the motor will ignite or else it will not ignite. In case an accident occurred, our system is capable of detecting the accident and its location approximately. We implanted the led strip indication in the helmet unit to reduce the percentage of an accident during night times.

22

TRIVEDI, Janak, Mandalapu Sarada DEVI, and Dave DHARA. "VEHICLE CLASSIFICATION USING THE CONVOLUTION NEURAL NETWORK APPROACH." Scientific Journal of Silesian University of Technology. Series Transport 112 (September 1, 2021): 201–9. http://dx.doi.org/10.20858/sjsutst.2021.112.7.16.

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We present vehicle detection classification using the Convolution Neural Network (CNN) of the deep learning approach. The automatic vehicle classification for traffic surveillance video systems is challenging for the Intelligent Transportation System (ITS) to build a smart city. In this article, three different vehicles: bike, car and truck classification are considered for around 3,000 bikes, 6,000 cars, and 2,000 images of trucks. CNN can automatically absorb and extract different vehicle dataset’s different features without a manual selection of features. The accuracy of CNN is measured in terms of the confidence values of the detected object. The highest confidence value is about 0.99 in the case of the bike category vehicle classification. The automatic vehicle classification supports building an electronic toll collection system and identifying emergency vehicles in the traffic.

23

Guo, Hanyue, Jiting Zhou, Jiaqi Wang, and Xiaodong Wang. "A bike sharing system based on Blockchain platform." MATEC Web of Conferences 232 (2018): 01027. http://dx.doi.org/10.1051/matecconf/201823201027.

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Leakage of user privacy and vandalism of the sharing bike have been the most serious problem since sharing bike came on the scene. Accordingly, it is very urgent to rebuild the underlying trust mechanism. Most bike sharing systems are centralized, leading to overpressure on the central server. This paper proposes a bike sharing system based on blockchain service platform and a shared operation mode of C2C. The system uses the blockchain system as the trust guarantee. The extra chain payment - lightning network is used to improve the efficiency of the blockchain system and the smart contract is used to provide the rights and interests of the two parties.

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Yeon, Sang-Ho, and Dal-Hwan Yoon. "Implementation of Intellectual Smart Sizing and Fitting System for Bike User." Journal of the Korea Contents Association 13, no. 5 (May 28, 2013): 451–58. http://dx.doi.org/10.5392/jkca.2013.13.05.451.

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Vishnupriya, S. "Smart Bike System-Electronic Safety Apparatus for Two Wheelers." International Journal for Research in Applied Science and Engineering Technology 7, no. 2 (February 28, 2019): 424–28. http://dx.doi.org/10.22214/ijraset.2019.2056.

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Vinay Kulkarni, Aashay, Abhinav Krishna Baroorkar, and Sumedh Sandeep Lele. "SMART SOLUTIONS FOR ENHANCING ROAD SAFETY AND BETTER RIDING EXPERIENCE USING IOT." International Journal of Advanced Research 9, no. 02 (February 28, 2021): 824–30. http://dx.doi.org/10.21474/ijar01/12520.

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This paper aims at providing solutions that would improve safety and riding experience. To ensure that the rider uses a helmet, the bike wont start unless the rider is wearing the helmet. The paper also proposes a solution to get the live location of the rider as well as using this location to disable the horn in no honking zones. With the help of different sensors mounted on the bike and helmet, the proposed system can detect an accident and inform emergency contact numbers. To further improve the efficiency of the entire system, solar power can be used.

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Krystian Banet. "Using Data on Bike-Sharing System User Stopovers in Smart Tourism: A Case Study." Communications - Scientific letters of the University of Zilina 23, no. 2 (April 1, 2021): G1—G12. http://dx.doi.org/10.26552/com.c.2021.2.g1-g12.

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Bike-sharing systems are an important element in development of the smart cities and datasets from these systems are one of the ways to obtain large amount of information on bicycle traffic. These usually contain data on the origin and destination of each trip, as well as its time and duration. Alongside the basic data, some operators also provide information on the exact route picked by each user. This allows researchers to study stopovers, which may serve as a source of interesting information on human behaviour in public spaces and, as a consequence, help improve its analysis and design. However, using the raw data may lead to important errors because most stops occur in the vicinity of bike stations or are related to traffic problems, as evidenced by the case study of Cracow. The data filtering method proposed below opens up the possibility for using such datasets for further research on bike user behaviour and public spaces.

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Ploeger, Jan, and Ruth Oldenziel. "The sociotechnical roots of smart mobility: Bike sharing since 1965." Journal of Transport History 41, no. 2 (March 12, 2020): 134–59. http://dx.doi.org/10.1177/0022526620908264.

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The search for “smart” or Information and Communication Technology (ICT) based mobility solutions goes back to at least the 1960s. The Provo anarchist Luud Schimmelpennink is well-known for designing mobility solutions and for being the driving force behind the 1965 “white-bike” experience. Less known is his 1968 project for shared electric cars (“Witkar”), which laid the foundations for the ICT-based bicycle sharing systems as we know today. By combining his talent for innovation with activism, he created a socially embedded design that could be part of the public transit system. Based on primary sources, we argue that these sociotechnical experiences paved the way for today’s mainstream bicycle sharing projects worldwide. We then show how since the 1990s, the Dutch railroad’s public transit bicycle (OV-fiets) has transformed Schimmelpennink’s original anarchist idea of bike sharing into a sustainable public transit system – a feat that has eluded other programmes worldwide: the integration of the bicycle’s share in a door-to-door experience.

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Albuquerque, Vitória, Miguel Sales Dias, and Fernando Bacao. "Machine Learning Approaches to Bike-Sharing Systems: A Systematic Literature Review." ISPRS International Journal of Geo-Information 10, no. 2 (February 2, 2021): 62. http://dx.doi.org/10.3390/ijgi10020062.

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Cities are moving towards new mobility strategies to tackle smart cities’ challenges such as carbon emission reduction, urban transport multimodality and mitigation of pandemic hazards, emphasising on the implementation of shared modes, such as bike-sharing systems. This paper poses a research question and introduces a corresponding systematic literature review, focusing on machine learning techniques’ contributions applied to bike-sharing systems to improve cities’ mobility. The preferred reporting items for systematic reviews and meta-analyses (PRISMA) method was adopted to identify specific factors that influence bike-sharing systems, resulting in an analysis of 35 papers published between 2015 and 2019, creating an outline for future research. By means of systematic literature review and bibliometric analysis, machine learning algorithms were identified in two groups: classification and prediction.

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Oliveira, Franklin, Dilan Nery, Daniel G. Costa, Ivanovitch Silva, and Luciana Lima. "A Survey of Technologies and Recent Developments for Sustainable Smart Cycling." Sustainability 13, no. 6 (March 19, 2021): 3422. http://dx.doi.org/10.3390/su13063422.

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Among the problems resulted from the continuous urbanization process, inefficient urban mobility and high pollution levels have been complex challenges that have demanded a lot of public investments and research efforts. Recently, some alternative transportation means have been leveraged as sustainable options for such challenges, which has brought bicycles to a more relevant setting. Besides the sometimes obvious benefits of adopting bikes for transportation, technologies around the Internet of Things (IoT) paradigm have been advocated as important supportive tools to boost smart cycling initiatives. Actually, new technologies can be exploited to improve the efficiency of bike paths and parking spots, while reducing accidents and enhancing the cycling experience of the users. Therefore, in this highly vibrating scenario, this article facilitates the understating of current research trends and promising developments, surveying and classing recent works. Since there is a global interest for the promotion of cleaner and more sustainable solutions in large cities, this survey can be valuable when supporting new developments in this highly relevant research area.

31

Castells-Graells, David, Christopher Salahub, and Evangelos Pournaras. "On cycling risk and discomfort: urban safety mapping and bike route recommendations." Computing 102, no. 5 (December 9, 2019): 1259–74. http://dx.doi.org/10.1007/s00607-019-00771-y.

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AbstractBike usage in Smart Cities is paramount for sustainable urban development: cycling promotes healthier lifestyles, lowers energy consumption, lowers carbon emissions, and reduces urban traffic. However, the expansion and increased use of bike infrastructure has been accompanied by a glut of bike accidents, a trend jeopardizing the urban bike movement. This paper leverages data from a diverse spectrum of sources to characterise geolocated bike accident severity and, ultimately, study cycling risk and discomfort. Kernel density estimation generates a continuous, empirical, spatial risk estimate which is mapped in a case study of Zürich city. The roles of weather, time, accident type, and severity are illustrated. A predominance of self-caused accidents motivates an open-source software artifact for personalized route recommendations. This software is used to collect open baseline route data that are compared with alternative routes minimizing risk and discomfort. These contributions have the potential to provide invaluable infrastructure improvement insights to urban planners, and may also improve the awareness of risk in the urban environment among experienced and novice cyclists alike.

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Gupta, Punit. "Rule Based Rash Driving Alerts System Using IoT and Smart Bike." HELIX 8, no. 5 (August 31, 2018): 3736–40. http://dx.doi.org/10.29042/2018-3736-3740.

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Kumar, Kota Chaitanya, and Ravi Kanth Motupalli. "Arduino Uno based Smart Helmet with Protective Bike System Using IoT." Journal of Advanced Research in Dynamical and Control Systems 12, no. 9 (August 27, 2020): 27–33. http://dx.doi.org/10.5373/jardcs/v12i9/20202638.

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34

Cherd, Teoh Vil, Nor Hazadura Hamzah, Wong Kah Poh, Muhamad Haikal Muhamad Rapi, Muhammad Syukri Aziri, Mohd Fildza Shahrom, Ahmed Mohammad Ahmed Kasheh, and Heah Cai Sheng. "Conceptual Design of a Bike Towing Trailer with Smart Towing Trailer." Journal of Physics: Conference Series 2051, no. 1 (October 1, 2021): 012017. http://dx.doi.org/10.1088/1742-6596/2051/1/012017.

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Abstract The roads in the rural places are narrow and bumpy. Hence, big vehicle such as a car, truck, and lorry have no access to the narrow roads. Therefore, most of the villagers choose light vehicles such as bicycles and motorcycles as the primary transportation method to deliver goods using a towing trailer. The towing trailer found in the many of the rural areas are very traditional and inconvenient. This paper focuses on the conceptual design of a smart bike towing trailer equipped with the multipurpose towing based on customer requirements. A total of 5 conceptual design is produced. The Pugh selection chart and weighted decision matrix is used and it is found that the conceptual concept 4 has the best design. A 3D detailed modelling of the concept 4 is developed for future testing and analysis of the design prior to fabrication.

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C, Priyanka, Priya Darshini C, Vinayak G. Shavi, and Sarvar Begum. "Two-Wheeler Safety System for Accident Prevention, Detection and Reporting." International Journal Of Engineering And Computer Science 7, no. 03 (March 3, 2018): 23680–82. http://dx.doi.org/10.18535/ijecs/v7i3.03.

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The objective of this paper is to build a safety system which is integrated with the smart helmet and intelligent bike to reduce the probability of two-wheeler accidents and drunk and drive cases. The pressure sensor and the accelerometer sensor checks if the person is wearing the helmet or not. Alcohol sensors detects the alcoholic content in the rider’s breath. If the rider is not wearing the helmet or there is alcohol content found in rider’s breath, the bike remains off. The bike will not start until the rider wears the helmet and there is no alcoholic content present stating that rider did not consume alcohol. When the rider crashes, helmet hits the ground and sensors detect the motion and tilts of helmet and reports the occurrence of an accident and sends information of the location of accident to the family members of the rider and the emergency contact numbers.

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XU, Xiangxuan. "The Contextual Dynamics of Internet of Things Applications in Smart Public Bike Sharing Services." Chinese Journal of Urban and Environmental Studies 05, no. 02 (June 2017): 1750009. http://dx.doi.org/10.1142/s2345748117500099.

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The past decade has witnessed the emergence of Internet of Things (IoT) technologies in public service innovation. As the technical characteristics of IoT technologies are rather identical around the globe, one might wonder whether the location still matters for their adoptions. Smart public bike sharing (PBS) scheme is one of the world’s most widespread public IoT applications. Prior studies of smart PBS schemes find the positive effects on the host city’s image and sustainable mobility. However, less attention has been paid to the impact of the host city’s context on the evolution of their service characteristics. The paper proposes a model that explicitly includes the contextual dynamics of public service innovations that utilize IoT. Then the model is used to analyze two empirical cases from Sweden and China, respectively. The results reveal that public motives, user preferences, and governance can impact the evolution of the service characteristics of smart PBS schemes, which is important for smart PBS planners, operators, and policymakers to consider. The best PBS scheme is the one that adapts to the characters of the host city and the changing needs of the users. Moreover, the study reflects the new complexities that arise for digital public services, such as the protection of data and privacy.

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Godfrey, Daniel, and Mi-Hwa Song. "Safe Bike : Secure your Bicycle with this smart Arduino based GPS device." International journal of advanced smart convergence 5, no. 3 (September 30, 2016): 16–26. http://dx.doi.org/10.7236/ijasc.2016.5.3.16.

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38

Chen, Haiyun, Ting Zhu, Jiazhen Huo, and Habisch Andre. "Sustainable co-governance of smart bike-sharing schemes based on consumers’ perspective." Journal of Cleaner Production 260 (July 2020): 120949. http://dx.doi.org/10.1016/j.jclepro.2020.120949.

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Jettanasen, Chaiyan, Panapong Songsukthawan, and Atthapol Ngaopitakkul. "Development of Micro-Mobility Based on Piezoelectric Energy Harvesting for Smart City Applications." Sustainability 12, no. 7 (April 7, 2020): 2933. http://dx.doi.org/10.3390/su12072933.

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This study investigates the use of an alternative energy source in the production of electric energy to meet the increasing energy requirements, encourage the use of clean energy, and thus reduce the effects of global warming. The alternative energy source used is a mechanical energy by piezoelectric material, which can convert mechanical energy into electrical energy, that can convert mechanical energy from pressure forces and vibrations during activities such as walking and traveling into electrical energy. Herein, a pilot device is designed, involving the modification of a bicycle into a stationary exercise bike with a piezoelectric generator, to study energy conversion and storage generated from using the bike. Secondly, the piezoelectric energy harvesting system is used on bicycles as a micro-mobility, light electric utility vehicle with smart operation, providing a novel approach to smart city design. The results show that the energy harvested from the piezoelectric devices can be stored in a 3200 mAh, 5 V battery and power sensors on the bicycle. Moreover, 13.6 mW power can be generated at regular cycling speed, outputting 11.5 V and 1.2 mA. Therefore, the piezoelectric energy harvesting system has sufficient potential for application as a renewable energy source that can be used with low power equipment.

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Nocerino, Roberto, Alberto Colorni, Federico Lia, and Alessandro Luè. "E-bikes and E-scooters for Smart Logistics: Environmental and Economic Sustainability in Pro-E-bike Italian Pilots." Transportation Research Procedia 14 (2016): 2362–71. http://dx.doi.org/10.1016/j.trpro.2016.05.267.

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Cook, Matthew. "Product service system innovation in the smart city." International Journal of Entrepreneurship and Innovation 19, no. 1 (February 2018): 46–55. http://dx.doi.org/10.1177/1465750317753934.

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Product service systems (PSS) may usefully form part of the mix of innovations necessary to move society towards more sustainable futures. However, despite such potential, PSS implementation is highly uneven and limited. Drawing on an alternate sociotechnical perspective of innovation, this article provides fresh insights on, among other things, the role of context in PSS innovation, to address this issue. Case study research is presented focusing on a use-orientated PSS in an urban environment: the Copenhagen city bike scheme. The article shows that PSS innovation is a situated complex process, shaped by actors and knowledge from other locales. It argues that further research is needed to investigate how actors’ interests shape PSS innovation. It recommends that institutional spaces should be provided in governance landscapes associated with urban environments to enable legitimate PSS concepts to co-evolve in light of locally articulated sustainability principles and priorities.

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Daniella, Daniella, and Achmad Amri Dharma Wangsa. "Leveraging Integrated Bike-Sharing with Existing Bus Rapid Transit (BRT) to Reduce Motor Vehicle in Central Jakarta Municipal." Geoplanning: Journal of Geomatics and Planning 6, no. 1 (August 30, 2019): 13. http://dx.doi.org/10.14710/geoplanning.6.1.13-20.

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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.

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Holienčinová, Mária, Zdenka Kádeková, Tomáš Holota, and Ľudmila Nagyová. "Smart Solution of Traffic Congestion through Bike Sharing System in a Small City." Mobile Networks and Applications 25, no. 3 (February 13, 2020): 868–75. http://dx.doi.org/10.1007/s11036-020-01516-4.

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44

Ridgel, Angela L., Peter Gates, and Robert Melczak. "Optimization Of A SMART Dynamic Bike To Improve Motor Function In Parkinson’s Disease." Medicine & Science in Sports & Exercise 53, no. 8S (August 2021): 169. http://dx.doi.org/10.1249/01.mss.0000761052.47405.f3.

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45

Hauf, Austin, and Frank Douma. "Governing Dockless Bike Share: Early Lessons for Nice Ride Minnesota." Transportation Research Record: Journal of the Transportation Research Board 2673, no. 9 (May 8, 2019): 419–29. http://dx.doi.org/10.1177/0361198119845651.

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Dockless bike share systems present an opportunity to expand access to bike share in cities by lowering costs and geographic barriers, but they also create additional challenges in the areas of maintenance, parking, and right-of-way management. Most dockless providers are private, venture-capital funded entities, representing a significant departure from current public and non-profit approaches. In several cities, municipal authorities have encountered challenges in securing cooperation from these operators in areas such as data transparency. This raises a key question: To what extent can municipal authorities use contracts and governance to exchange use of the public rights of way for operating requirements that advance equity, accessibility, innovation, and other goals? Using case studies from other U.S. cities and drawing insights from the wider “smart mobility” literature, this research presents recommendations for regulating dockless bike share in cities and ties these approaches to the implementation of Nice Ride Minnesota’s dockless pilot. It also examines prominent challenges in coordination and implementation and highlights novel approaches with an eye towards the future of bike share in the Twin Cities region (Minneapolis and St. Paul, MN). It concludes that providers of shared mobility services should expect to be regulated in exchange for use of public rights of way, while city authorities should provide transparent and proactive regulation, maintain an environment of iteration, define their own metrics for success, place planning goals before innovation, and strive for regional collaboration.

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Jadhav, Rohit. "Design of a Guidable Cornering Light System for Faired Motorcycle." International Journal for Research in Applied Science and Engineering Technology 10, no. 1 (January 31, 2022): 325–35. http://dx.doi.org/10.22214/ijraset.2022.39816.

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Abstract: Today's engendering has a rage about faired bikes because they endeavour ergonomic glances as well as speeds. Although it has now graced a fact that most motorcycle accidents occur in darkness due to poor illumination and are more dangerous when the bike is cornering. As per the present contour of headlamps of fairing bikes, the headlamps become stable, giving rider vision at an upright position. These headlights do not provide enough illumination on bent roads and put riders in a vulnerable position. To overcome this dilemma, an alternative lighting system was needed. The goal of the project is to discover a cost-effective explication, increasing the safety and comfort of the rider. This called for cornering lights for faired bikes to persuade the road at the corner. The cornering lights serve riders by illuminating the shadowed area of the curve providing better vision. The Cornering lights can not only be useful in twilight but also bad weather, the rider can have a clear vision and control on the motorbike. The rider may react to the state of danger at an appropriate time. Keywords: Motorcycle Cornering Lights, Smart Headlights, Guidable headlight, Adaptive headlight, cornering headlight, safety technology, deflecting headlight.

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Sárdi, Dávid Lajos, and Krisztián Bóna. "A Geometrical Structure-Based New Approach for City Logistics System Planning with Cargo Bikes and Its Application for the Shopping Malls of Budapest." Applied Sciences 11, no. 8 (April 7, 2021): 3300. http://dx.doi.org/10.3390/app11083300.

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Nowadays, cargo bikes are seeing an ever-greater role in city logistics with an increasing number of deliveries, and it is essential to examine their future role in green and smart cities. In our work, we examine the application of cargo bikes in the city logistics system of the urban concentrated sets of delivery locations, focusing first on shopping malls, with the investigation of the geometrical structure of the logistics network. In the examined concept, the use of cargo bikes will be combined with electric trucks to make possible green deliveries of urban concentrated sets of delivery locations. In this paper, we present the experiences of the existing systems and the related research, the simulation model of the examined new concept with cargo bikes and its results, the graph theory-based geometric model of the examined city logistics system with graph theory-based notation, and the application of the new approach for Budapest. The main output of this research is the geometrical model of the urban concentrated sets of delivery locations and its application. Based on this geometrical model, it will be possible to decide about the suitability of the examined cargo bike-based city logistics concepts for given cities.

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Fontes, Tiago, Miguel Arantes, Paulo V. Figueiredo, and Paulo Novais. "A Cluster-Based Approach Using Smartphone Data for Bike-Sharing Docking Stations Identification: Lisbon Case Study." Smart Cities 5, no. 1 (March 3, 2022): 251–75. http://dx.doi.org/10.3390/smartcities5010016.

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Urban mobility is a massive issue in the current century, being widely promoted the need of adopting sustainable solutions regarding transportation within large urban centres. The evolution of technologies has democratised smart cities to better plan and manage their mobility solutions, without compromising the social, economic, and environmental impacts. Pursuing the carbon neutrality and the climate agreement goals, soft mobility is one of the most popular emerging methods to provide greener alternatives regarding mobility. Among these transportation modes are the bicycle, which has been widely used in several public systems across the world, one of them being in Lisbon. This article provides a decision support system for bike-sharing docking stations for three council parishes of the city, namely, Parque das Nações, Marvila, and Beato. Taking advantage of clustering methods and GSM data from a telecommunication operator, this study pretends to highlight a novel approach to identify soft mobility hotspots, in specific bike-sharing docking stations, for suited mobility management systems in Lisbon’s city centre.

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Máca, Vojtěch, Milan Ščasný, Iva Zvěřinová, Michal Jakob, and Jan Hrnčíř. "Incentivizing Commuter Cycling by Financial and Non-Financial Rewards." International Journal of Environmental Research and Public Health 17, no. 17 (August 19, 2020): 6033. http://dx.doi.org/10.3390/ijerph17176033.

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Current mobility patterns over-rely on transport modes that do not benefit sustainable and healthy lifestyles. To explore the potential for active mobility, we conducted a randomized experiment aimed at increasing regular commuter cycling in cities. In designing the experiment, we teamed up with developers of the “Cyclers” smartphone app to improve the effectiveness of the app by evaluating financial and non-financial motivational features. Participants in the experiment were recruited among new users of the app, and were randomly assigned to one of four different motivational treatments (smart gamification, two variants of a financial reward, and a combination of smart gamification and a financial reward) or a control group (no specific motivation). Our analysis suggests that people can be effectively motivated to engage in more frequent commuter cycling with incentives via a smartphone app. Offering small financial rewards seems to be more effective than smart gamification. A combination of both motivational treatments—smart gamification and financial rewards—may work the same or slightly better than financial rewards alone. We demonstrate that small financial rewards embedded in smartphone apps such as “Cyclers” can be effective in nudging people to commute by bike more often.

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Dooley, Ken. "Direct Passive Participation: Aiming for Accuracy and Citizen Safety in the Era of Big Data and the Smart City." Smart Cities 4, no. 1 (March 10, 2021): 336–48. http://dx.doi.org/10.3390/smartcities4010020.

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The public services in our smart cities should enable our citizens to live sustainable, safe and healthy lifestyles and they should be designed inclusively. This article examines emerging data-driven methods of citizen engagement that promise to deliver effortless engagement and discusses their suitability for the task at hand. Passive participation views citizens as sensors and data mining is used to elicit meaning from the vast amounts of data generated in a city. Direct passive participation has a clear link between the creation and the use of the data whereas indirect passive participation does not require a link between creation and use. The Helsinki city bike share scheme has been selected as a case study to further explore the concept of direct passive participation. The case study shows that passive user generated data is a strong indicator of optimum city bike station sizing relative to the existing methods that are already in use. Indirect passive participation is an important area of development; however, it still needs to be developed further. In the meantime, direct passive participation can be one of the tools used to design inclusive services in a way that is safe and an accurate representation of the citizens’ needs.

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