Smart Solution of Traffic Congestion through Bike Sharing System in a Small City

2020 ◽  
Vol 25 (3) ◽  
pp. 868-875
Author(s):  
Mária Holienčinová ◽  
Zdenka Kádeková ◽  
Tomáš Holota ◽  
Ľudmila Nagyová
Keyword(s):  
Traffic Congestion ◽  
Small City ◽  
Bike Sharing

scholarly journals Green transportation system to promote sustainable lifestyle in Chulalongkorn University

2018 ◽  
Vol 48 ◽  
pp. 07001 ◽  
Author(s):  
Jirarat Pinthong ◽  
Korb Limsuwan ◽  
Boonchai Stitmannaithum
Keyword(s):  
Traffic Congestion ◽  
Engineering Students ◽  
Good Health ◽  
Transportation System ◽  
Bus Routing ◽  
Bike Sharing ◽  
Parking Garages ◽  
Subway Stations ◽  
Bus Service ◽  
The University

Chulalongkorn University (CU) is located at the heart of Bangkok, which is one of the most traffic congested cities in the world. It is very crucial for the university to develop a green and clean transportation system that is good for both the CU community and the whole society. To reduce on-campus traffic, the university provides four parking buildings on the edge of four corners of the campus to serve visitors, students, faculties and staffs who travel by private cars. While providing added convenience, these parking garages reduce traffic congestion on campus and, thus, pollutions from harmful emissions and traffic noises. To promote eco-friendly transportation in the campus, the university provides “CU Shuttle Bus” - an electric shuttle bus service that cover not only campus area, but also reach out to public sky train and subway stations around the campus. The CU Shuttle Bus’s mobile application, developed by engineering students, helps improve user experience by showing all useful information including campus map, bus routing, and real-time locations of all buses. To encourage walking and cycling within the campus and to promote good health and fitness, the university has been constructing covered walkways and bike lanes throughout the campus. In addition, “CU Bike” - a bike sharing program, was first introduced in 2014 and has quickly grown in popularity among CU students since. A new “CU Toyota Hamo”, an electric vehicle rental program, is another great option of green transportations for those who cannot ride a bicycle and for older people of the aging society. All these projects help promote the development of innovations and practices that are both sustainable and protective of the environment of Chulalongkorn University, as well as the surrounding community, the country and planet as a whole.

Yulu: Moving Towards a Sustainable Future

2020 ◽  
Vol 9 (3) ◽  
pp. 445-456
Author(s):  
Deepika Upadhyay ◽  
Geetanjali Purswani ◽  
Pooja Jain
Keyword(s):  
Air Pollution ◽  
Traffic Congestion ◽  
Short Distance ◽  
Management Practices ◽  
Alternative Mode ◽  
Final Destination ◽  
Metropolitan Cities ◽  
The World ◽  
Bike Sharing ◽  
Distance Travel

The rapidly rising rate of urbanization, which is closely linked to economic growth, has exposed the world to several challenges such as inequality, environmental degradation, traffic congestion, infrastructural concerns and social conflicts. Therefore, urban sustainability has emerged as one of the most debatable discussions across the world. The existing network of transportation can no longer keep up with the growing demand in metropolitan cities. Short distance travel has become an unresolved issue for daily commuters. The case presents how MMVs have emerged as an alternative mode of transport for resolving issues of daily commuters regarding the first-mile connectivity, last-mile connectivity and short distance travel to reach their final destination. MMVs are basically light-weight vehicles which occupy less space on road. These vehicles include bicycles, e-bikes, skateboards, hoverboards and other battery-operated vehicles. The case narrates the journey of Yulu, a dockless bike-sharing venture which promoted the concept of green consumerism among the daily commuters at affordable rates. The venture initially started in the IT city of Bangalore and later expanded its operations to other cities such as Pune, Navi Mumbai, Gurugram and Bhubaneswar. The speciality of this venture is that it offers a sustainable solution to ever-increasing problems of traffic congestion and aggravating air pollution issues in metropolitan cities. Dilemma: How to offer a sustainable solution to the ever-increasing problem of traffic congestion and aggravating air pollution due to rising vehicular traffic? How to make short distance travel affordable and more convenient for daily commuters? Theory: Three pillars of sustainable development. Type of Case: Problem solving applied case. Protagonist: Present. Discussion and Case Questions: What strategies should be employed by the start-up to make it a more popular form of commute? How can the increasing rate of damage to the vehicles be brought down? How does organization structure and cluster management practices of Yulu help it to become more sustainable? How can the regulatory bodies and government promote and adopt such start-ups in their urban planning projects?

scholarly journals Congestion Woes: A Performance at Jalan Tun Abdul Razak to Jalan Bertingkat Skudai, Johor Bahru, Johor

2019 ◽  
Vol 8 (12) ◽  
pp. 5689-5693
Keyword(s):  
Traffic Congestion ◽  
Tidal Flow ◽  
Mean Value ◽  
Quota System ◽  
Mean Values ◽  
Erp System ◽  
Strategy Implement ◽  
Bike Sharing ◽  
Vehicle Quota System ◽  
Spss Software

Traffic congestion has been one of the major issues faced by most urbanization around the world. Traffic congestion can be define as the vehicles that travels at a certain place with slower speed. This is because there are many vehicles using that road at the same time. This problem has resulting to the delay, pollution and increased fuel consumption. The aims of this study are to determine the factors that contribute to this problem, identify the impacts have been occurred and give the recommendation on reducing the issue. Each data and information in this research is strengthen with the support from several sources of reading and knowledge gained through past studies and journals. The researcher using the quantitative method in order for describe and generalize collecting data from the respondents. Then, the collected data has been analyze by using the SPSS software. After that, the researcher has used the descriptive statistics in order to identify the most significant factors and impacts based on the mean values respectively. The highest mean value shows that those factors and impacts were strongly significant. From that, it can show that the objectives of this research successfully achieved. Furthermore, in this research study the researcher has gave the recommendation to reducing traffic congestion at Jalan Bertingkat Skudai, Johor Bahru. Those are implement Vehicle Quota System (VQS), reduced parking spaces strategy, implement Electronic Road Pricing (ERP) system, Tidal-Flow operation and provide bike-sharing system at this area.

scholarly journals Agreement of Four Analytical Methods Applied to Pb in Soils from the Small City of St. John’s, Newfoundland, Canada

2021 ◽  
Vol 18 (18) ◽  
pp. 9863
Author(s):  
Christopher R. Gonzales ◽  
Anna A. Paltseva ◽  
Trevor Bell ◽  
Eric T. Powell ◽  
Howard W. Mielke
Keyword(s):  
20Th Century ◽  
Analytical Methods ◽  
Traffic Congestion ◽  
Coal Ash ◽  
Environmental Research ◽  
Small City ◽  
Analytical Instruments ◽  
Aerosol Emission ◽  
Us Epa ◽  
1960S And 1970S

In the small city of St. John’s, NL (2020 population ~114,000), 100% of the soils of the pre-1926 properties exceeded the Canadian soil Pb standard, 140 mg/kg. The Pb was traced to high-Pb coal ash used for heating and disposed on the soils outside. Analytical instruments became available in the late 1960s and 1970s and were first used for blood Pb and clinical studies and repurposed for measuring environmental Pb. The environmental research part of this study compared four common soil Pb analysis methods on the same set (N = 96) of St. John’s soil samples. The methods: The US EPA method 3050B, portable X-ray fluorescence spectrometry (pXRF), The Chaney–Mielke leachate extraction (1 M nitric acid), and the relative bioaccessibility leaching procedure (US EPA method 1340). Correlation is not the same as agreement. There is strong agreement (Berry–Mielke’s Universal R) among the four soil Pb analytical methods. Accordingly, precaution is normally advisable to protect children from the high-Pb garden soils and play areas. A public health reality check by Health Canada surveillance of St. John’s children (N = 257) noted remarkably low blood Pb. The low blood Pb of St. John’s’ children is contrary to the soil Pb results. Known urban processes causing the rise of environmental Pb and children’s Pb exposure includes particle size, aerosol emission by traffic congestion, and quantities of leaded petrol during the 20th century. Smaller cities had minor traffic congestion and limited combustion particles from leaded petrol. From the perspective of the 20th century era of urban Pb pollution, St. John’s, NL, children have blood Pb characteristics of a small city.

scholarly journals Prediction of Bike Sharing Demand

2017 ◽  
Vol 10 (1) ◽  
pp. 219-226 ◽  
Author(s):  
Purnima Sachdeva ◽  
K N Sarvanan
Keyword(s):  
New York ◽  
Linear Combination ◽  
Random Forests ◽  
Traffic Congestion ◽  
Urban Areas ◽  
Machine Learning Techniques ◽  
Health Consciousness ◽  
Learning Techniques ◽  
The World ◽  
Bike Sharing

Bike sharing systems have been gaining prominence all over the world with more than 500 successful systems being deployed in major cities like New York, Washington, London. With an increasing awareness of the harms of fossil based mean of transportation, problems of traffic congestion in cities and increasing health consciousness in urban areas, citizens are adopting bike sharing systems with zest. Even developing countries like India are adopting the trend with a bike sharing system in the pipeline for Karnataka. This paper tackles the problem of predicting the number of bikes which will be rented at any given hour in a given city, henceforth referred to as the problem of ‘Bike Sharing Demand’. In this vein, this paper investigates the efficacy of standard machine learning techniques namely SVM, Regression, Random Forests, Boosting by implementing and analyzing their performance with respect to each other.This paper also presents two novel methods, Linear Combination and Discriminating Linear Combination, for the ‘Bike Sharing Demand’ problem which supersede the aforementioned techniques as good estimates in the real world.

scholarly journals Micromobility Station Placement Optimization for a Rural Setting

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Taraneh Askarzadeh ◽  
Raj Bridgelall
Keyword(s):  
Traffic Congestion ◽  
Urban Areas ◽  
Rural Setting ◽  
Walking Distance ◽  
Location Allocation ◽  
Placement Decisions ◽  
Placement Optimization ◽  
Bike Sharing ◽  
New Challenges

Micromobility is an evolving form of transportation modality that uses small human- or electric-powered vehicles to move people short distances. Planners expected that bike sharing, the first form of micromobility, would reduce traffic congestion, cut travel cost, reduce pollution, enable connectivity with other modes of transport, and promote public health. However, micromobility options also brought new challenges such as the difficulty of placement decisions to encourage adoption and to minimize conflict with other transport modes. Sound deployment decisions depend on the unique environmental characteristics and demographics of a location. Most studies analyzed deployments in high-density urban areas. This research determines the best locations for 5 new bike-sharing stations in Fargo, North Dakota, a small urban area in the rural United States. The workflow combines a geographic information system (GIS), level of traffic stress (LTS) ratings, and location-allocation optimization models. The spatial analysis considered 18 candidate station locations and eliminated those that fell within the 700-meter isochrone walking distance of the 11 existing stations. This case study demonstrates a scalable workflow that planners can repeat to achieve sustainable micromobility deployments by considering the land use, population density, activity points, and characteristics of the available pathways in their unique setting.

scholarly journals Experimental Study on Shared Bike Use Behavior under Bounded Rational Theory and Credit Supervision Mechanism

2018 ◽  
Vol 11 (1) ◽  
pp. 127 ◽  
Author(s):  
Yao Yao ◽  
Linwei Liu ◽  
Zibin Guo ◽  
Ziheng Liu ◽  
Huiyu Zhou
Keyword(s):  
Traffic Congestion ◽  
User Behavior ◽  
Real Life ◽  
Value Theory ◽  
Feedback Mechanism ◽  
Policy Makers ◽  
Negative Context ◽  
Bike Sharing ◽  
Supervision Mechanism ◽  
Use Behavior

As a new travel model, the bike-sharing system (BSS) solves the ‘last kilometer’ problem and has developed rapidly for its convenience. However, many accompanying problems have emerged. In China, parking violation problems—such as severe traffic congestion—are caused by dock-less shared bikes. Furthermore, a large number of shared bikes have to be scrapped early for vandalism. As a special form of public good, bike-sharing also faces the dilemma of negative externalities. Seeking a solution, Mobike has conducted a credit supervision mechanism, which transfers the users’ different behavior to credits for user behavior regulation, but with unsatisfactory results. The goal of the paper is to test the validity of credit supervision mechanism from user’s perspective to regulate the abuse of sharing bike by simulating the use scenario of BSS in real life in a lab experiment based on induced value theory. The behavioral and pre- and post-experiment survey data were thoroughly analyzed. The results show that, within a negative context, the credit supervision system has a more significant effect on inducing proper user behavior, which improves after adding a real-time feedback mechanism. Finally, we provide effective suggestions to policy makers and shared bike companies for inducing positive user behavior.

scholarly journals Planning and Design of Equitable Free-Floating Bike-Sharing Systems Implementing a Road Pricing Strategy

2017 ◽  
Vol 2017 ◽  
pp. 1-18 ◽  
Author(s):  
Leonardo Caggiani ◽  
Rosalia Camporeale ◽  
Michele Ottomanelli
Keyword(s):  
Sensitivity Analysis ◽  
Sustainable Development ◽  
Traffic Congestion ◽  
Social Equity ◽  
Road Pricing ◽  
Pricing Strategy ◽  
Numerical Application ◽  
Planning And Design ◽  
Bike Sharing

Promoting a more sustainable development of urban realities is one of the most important goals of the recent decades. One possible strategy to undertake in order to achieve this objective is the implementation of a road pricing: tolling private cars when passing by certain roads of the network could be a way to tone down the traffic congestion and, at the same time, encourage the shifting towards more sustainable means of transport. In this context, we suggest a method to distribute in a fair way the outcomes/revenues of this pricing strategy. In particular, we propose to design a free-floating bike-sharing system whose resources could be allocated in the territory according to spatial and social equity principles. The relation between the amount of the tolls, the number of days of application of the policy, and the pursued equity is investigated, and both a numerical application (to a test network and to a real case study) and a sensitivity analysis in support of the method are enclosed.

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