scholarly journals Identifying and Predicting the Expenditure Level Characteristics of Car-Sharing Users Based on the Empirical Data

2019 ◽  
Vol 11 (23) ◽  
pp. 6689 ◽  
Author(s):  
Sai ◽  
Bi ◽  
Xie ◽  
Guan
Keyword(s):  
Prediction Methods ◽  
Multi Layer Perceptron ◽  
Vehicle Ownership ◽  
Car Sharing ◽  
Positive Role ◽  
Healthy Development ◽  
User Management ◽  
High Investment ◽  
Management Method ◽  
Scientific Decision

Car-sharing plays a positive role in reducing vehicle ownership and greenhouse gas emissions. However, the developmental contradictions between high investment and low revenues hinder the development of the car-sharing industry. Fully understanding car-sharing users can effectively ensure the healthy development of car-sharing companies and promote the development of the entire industry. To this end, this study attempts to develop a user management method that is based on user layering and prediction methods. By using order data from the Lan Zhou car-sharing company in China, this paper develops a clustering method for layering car-sharing users. A multi-layer perceptron model is also developed to categorize these users into different expenditure level categories while considering periodic features. Results show that new users can be divided into three categories according to their expenditures to car-sharing companies within 84 days. After 5 weeks of observation, the 84-day category of new users can be predicted with an accuracy of over 85%. These results provide scientific decision support for the user management and profitability of car-sharing companies.

scholarly journals Car Sharing In a Compact City: Pinning Down the Benefits and Barriers

2020 ◽  
pp. 1-8
Author(s):  
Ralph Chapman ◽  
◽  
Lucia Sobiecki ◽  
Keyword(s):  
New Zealand ◽  
Urban Development ◽  
Full Advantage ◽  
Carbon Emissions ◽  
Policy Support ◽  
Sustainable Transport ◽  
Vehicle Ownership ◽  
Compact City ◽  
Car Sharing ◽  
Transport Patterns

New Zealand’s sprawling urban development and high levels of car dependency have resulted in significant environmental impacts, including increased carbon emissions and pollution. Car sharing can support sustainable transport patterns by offering an alternative to private vehicle ownership. Internationally, it has become increasingly popular but is still in the early stages of development in New Zealand. A survey of 356 Wellington residents and interviews with 13 car share stakeholders collected data on interest in car sharing and barriers facing the service in New Zealand’s capital. The results suggest that car sharing could become an important mobility option in Wellington and further policy support for car sharing could enable Wellington to take full advantage of its benefits.

scholarly journals Recycling Potential of Plastic Resources from End-of-Life Passenger Vehicles in China

2021 ◽  
Vol 18 (19) ◽  
pp. 10285
Author(s):  
Yang Li ◽  
Shiyu Huang ◽  
Yanhui Liu ◽  
Yiyi Ju
Keyword(s):  
End Of Life ◽  
Gompertz Model ◽  
Passenger Vehicle ◽  
Vehicle Ownership ◽  
Recycling Industry ◽  
Healthy Development ◽  
Passenger Vehicles ◽  
Plastic Materials ◽  
Recycling Potential ◽  
Recyclable Resources

A rapid increase in the number of end-of-life (EoL) passenger vehicles has led to a large amount of waste plastics in China. However, the scale and efficiency of recycling resources from EoL vehicles still restricts the sustainable and healthy development of the automotive industry. The current behavior of automotive/recycling industry entities, as well as the strategy of waste management policymakers, may depend on the potential of total recyclable resources. To reveal such recycling potential of various plastic materials in EoL passenger vehicles, we predicted total EoL passenger vehicles in China from 2021 to 2030 (used the Weibull distribution) considering passenger vehicle ownership (estimated by the Gompertz model), quantified the demand for new passenger vehicles (estimated using its non-linear relationship with income level and passenger vehicle ownership), and assessed the recyclable plastics by categories and by provinces. The results show that (i) the annual average recycled plastic resources from EoL vehicles would exceed 2400 thousand t in 2030, more than 2.5 times in 2021, showing a great recycling potential; (ii) the differences among the three scenarios are relatively small, indicating that no matter the saturation level of passenger vehicles in China would be high or low, a rapid increase of recyclable plastic resources can be expected from 2021 to 2030; (iii) at the provincial level, a considerable gap between the potential of recycling plastic from EoL passenger vehicles and the regional processing capacity. Given such great potential and regional differences, the recycling policies should be applied in stages and consider the development level and recovery pressure in each region.

scholarly journals A Win-Win Outcome between Corporate Environmental Performance and Corporate Value: From the Perspective of Stakeholders

2019 ◽  
Vol 11 (3) ◽  
pp. 921 ◽  
Author(s):  
Chun Jiang ◽  
Qiang Fu
Keyword(s):  
Environmental Protection ◽  
Firm Value ◽  
Corporate Environmental Performance ◽  
Corporate Value ◽  
Positive Role ◽  
Initial Stage ◽  
Leading Position ◽  
High Investment ◽  
Corporate Social ◽  
Environment Performance

This paper combines determinants of corporate environment performance (CEP) and the effect of CEP on corporate value together, namely how to motivate firms to conduct environmental protection from the perspective of enhancing firm value. Using a sample of 204 observations of listed corporations in Chinese pollution-intensive industries over the period of 2013–2014, we observed that: (1) compared to investment in a single stakeholder, combinations of multidimensional stakeholders are more likely to affect CEP, and the path is not unique; (2) employees have a positive role, but investors, the community, suppliers, and customers have negative roles; (3) among three patterns for high CEP, both high investment in employees and low investment in the community, suppliers and customers will not detract from firm value, i.e., a win-win outcome; (4) among three patterns for low CEP, one will enhance firm value; and (5) the investor should be seen as an important breakthrough in corporate environmental protection. Such conclusions have stronger promotional value for other emerging countries where corporate social and environmental responsibility is still in the initial stage and the traditional corporate government mode still has a leading position.

scholarly journals Sustainable Transport Data Collection and Application: China Urban Transport Database

2013 ◽  
Vol 2013 ◽  
pp. 1-10 ◽  
Author(s):  
Tian Jiang ◽  
Zhongyi Wu ◽  
Yu Song ◽  
Xianglong Liu ◽  
Haode Liu ◽  
...  
Keyword(s):  
Local Governments ◽  
Service Level ◽  
Urban Transport ◽  
Sustainable Transport ◽  
Chinese Cities ◽  
Development Indicators ◽  
Healthy Development ◽  
The Public ◽  
User Management ◽  
Policy Making Process

Transport policy making process of national and local governments should be supported by a comprehensive database to ensure a sustainable and healthy development of urban transport. China Urban Transport Database (CUTD) has been built to play such a role. This paper is to make an introduction of CUTD framework including user management, data warehouse, and application modules. Considering the urban transport development features of Chinese cities, sustainable urban transport development indicators are proposed to evaluate the public transport service level in Chinese cities. International urban transport knowledge base is developed as well. CUTD has been applied in urban transport data processing, urban transport management, and urban transport performance evaluation in national and local transport research agencies, operators, and governments in China, and it will be applied to a broader range of fields.

scholarly journals Capturing the Characteristics of Car-Sharing Users: Data-Driven Analysis and Prediction Based on Classification

2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Jun Bi ◽  
Ru Zhi ◽  
Dong-Fan Xie ◽  
Xiao-Mei Zhao ◽  
Jun Zhang
Keyword(s):  
Clustering Algorithm ◽  
Travel Distance ◽  
The Other ◽  
Car Sharing ◽  
Time Intervals ◽  
Design Concepts ◽  
User Management ◽  
Usage Frequency ◽  
Actual Operation ◽  
Distance Travel

This work explores the characteristics of the usage behaviour of station-based car-sharing users based on the actual operation data from a car-sharing company in Gansu, China. We analyse the characteristics of the users’ demands, such as usage frequency and order quantity, for a day with 24 1 h time intervals. Results show that most car-sharing users are young and middle-aged men with a low reuse rate. The distribution of users’ usage during weekdays shows noticeable morning and evening peaks. We define two attributes, namely, the latent ratio and persistence ratio, as classification indicators to understand the user diversity and heterogeneity thoroughly. We apply the k-means clustering algorithm to group the users into four categories, namely, lost, early loyal, late loyal, and motivated users. The usage characteristics of lost users, including maximum rental time and travel distance, minimum percentage of same pickup and return station, and low percentage of locals, have noticeable differences from those of the other users. Late loyal users have lower rental time and travel distance than those of the other users. This manifestation is in line with the short-term lease of shared cars to complete short- and medium-distance travel design concepts. We also propose a model that predicts the driver cluster based on the decision tree. Numerical tests indicate that the accuracy is 91.61% when the user category is predicted four months in advance using the observation-to-judgment period ratio of 3 : 1. The results in this study can support enterprises in user management.

The value of physical education to the physical and mental health development of left-behind children from the perspective of health dividend

2021 ◽  
pp. 002072092199661
Author(s):  
Chenggen Peng ◽  
Jie Chen ◽  
Moutao Li ◽  
Xin Zhang
Keyword(s):  
Mental Health ◽  
Physical Education ◽  
Rapid Development ◽  
Social Economy ◽  
After School ◽  
Physical And Mental Health ◽  
Positive Role ◽  
Healthy Development ◽  
Left Behind ◽  
School Sports

Nowadays, due to the rapid development of social economy, many rural labors have flowed into more developed cities, resulting in more and more left-behind children(LBC), which is an urgent problem in our country's life. Although there are many researches on LBC, there are few researches on LBC's physical and mental health(PMH).In this regard, this paper studies whether physical education and exercise are very important for improving PMH in LBC, and collects and classifies data on PMH in LBC by referring to the literature. Interviews are used to collect the true thoughts of LBC and to understand PMH. The questionnaire survey was used to investigate the PMH status of LBC, and objectively and comprehensively collected the PMH status data of LBC. Finally, the data obtained are statistically analyzed by the method of several examples. This paper studies the situation of LBC participating in extracurricular sports activities and makes a comparison with non-LBC. The results show that the LBC who take part in more after-school sports training have better PMH, more cheerful personality, more love and compassion, can quickly adapt to a new environment, and are emotionally stable. They can handle things calmly and develop their individual emotions well. In addition, the probability of PMH problems of non-LBC is smaller than that of LBC. Through the research and analysis of sports and PMH of LBC, it is found that sports play a positive role in promoting the PMH of LBC. Therefore, physical education is of great value to promote the healthy development of LBC.

scholarly journals Car sharing as a solution to urban mobility problems in india

2018 ◽  
Vol 8 (4) ◽  
pp. 333-350
Author(s):  
Wasim Pirzada ◽  
Rushina Singhi
Keyword(s):  
Future Research ◽  
Urban Mobility ◽  
Manufacturing Companies ◽  
Vehicle Ownership ◽  
Car Sharing ◽  
Online Application ◽  
Current Trends ◽  
Ride Sharing ◽  
Cluster Level ◽  
Level Analysis

Urban commuters are faced with diverse problems ranging from traffic jams, parking congestions, ownership responsibilities of vehicles etc. Urban mobility is in need of means that address the contemporary problems of the commuters and provide ubiquitous accessibility. This is the reason behind the success of car aggregators in urban regions of India. Car-sharing is an alternative to personal vehicle ownership. Car-sharing refers to accessing a car for money typically with the help of an online application. Car sharing provides an experience of enjoying all the benefits of a car without ownership responsibilities. Although there are many car-sharing providers around the world but remarkably car manufacturing companies like BMW, Ford, GM and others have also launched car sharing programs. This study is restricted to the car sharing programs launched by car manufacturing companies. Though such car sharing facilities by car manufacturing companies are not yet available in India yet this study attempts to identify its preference among the urban masses. The emergence of a few car sharing providers in India has been witnessed but the operational models are usually restricted to round trips. Many car manufacturing companies are using innovative car-sharing models like peer-to-peer model and fractional model which has enhanced accessibility and convenience. Our study provides a comprehensive understanding of the perceptions towards car sharing and its features in relation to the contemporary problems faced by commuters in Delhi NCR (India). The study also provides cluster level analysis based on the problems faced by commuters in order to map them to the solutions presented by existing and innovative transportation models. The findings of the study reveal that a huge majority of the commuters feel that Car Sharing Program could be an appropriate and better solution to the mobility problems. Moreover, a majority of them (62%) tend to prefer car sharing over online ride sharing cabs (like Uber). Notably, a majority (68.6%) of the respondents who usually commute through these online app based ride sharing cabs display preference for car sharing. This provides a plausible prognosis that car sharing models have a potential to capture a sizeable portion of the market from existing car aggregators (which is in accordance with the findings of Bert et al., 2016). Future research in this area could focus on the current trends related to existing car sharing models operating in India and its future. Also, any transition with regard to the perception of ownership of vehicles can also be taken up for further research

Examining the impact of car-sharing on private vehicle ownership

2020 ◽  
Vol 138 ◽  
pp. 322-341 ◽  
Author(s):  
Fan Zhou ◽  
Zuduo Zheng ◽  
Jake Whitehead ◽  
Robert K. Perrons ◽  
Simon Washington ◽  
...  
Keyword(s):  
Vehicle Ownership ◽  
Car Sharing ◽  
Private Vehicle ◽  
The Impact
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