China leads the world in both public bikeshare and private electric bike (e-bike) growth. Current trajectories indicate the viability of deploying large-scale shared e-bike (e-bikeshare) systems in China. We employ a stated preference survey and multinomial logit to model the factors influencing the choice to switch from an existing transportation mode to bikeshare or e-bikeshare in Beijing. Demand is influenced by distinct sets of factors: the bikeshare choice is most sensitive to measures of effort and comfort while the e-bikeshare choice is more sensitive to user heterogeneities. Bikeshare demand is strongly negatively impacted by trip distance, temperature, precipitation, and poor air quality. User demographics however do not factor strongly on the bikeshare choice, indicating the mode will draw users from across the social spectrum. The e-bikeshare choice is much more tolerant of trip distance, high temperatures and poor air quality, though precipitation is also a highly negative factor. User demographics do play a significant role in e-bikeshare demand. Analysis of impact to the existing transportation system finds that both bikeshare and e-bikeshare will tend to draw users away from the "unsheltered modes", walk, bike, and e-bike. Although it is unclear if shared bikes are an attractive "first-and-last-mile solution", it is clear that e-bikeshare is attractive as a bus replacement. Language: en

Factors influencing the choice of shared bicycles and shared electric bikes in Beijing

Exploring the impact of built environment factors on the use of public bikes at bike stations: Case study in Zhongshan, China

https://purehost.bath.ac.uk/ws/files/114630362/BikeSharing_EJOR_revised.pdf

An Exact Algorithm for the Static Rebalancing Problem arising in Bicycle Sharing Systems

Analyzing housing prices in Shanghai with open data: Amenity, accessibility and urban structure

Bicycle-transit integration, in which cycling is used to as a transfer mode to/from transit station is widely believed to be one very important way of promoting a transit city and achieving efficient and sustainable urban transport systems. However, the empirical evidence for the determinants of people’s choices to transfer by bicycle as a travel mode remain largely unstudied. This paper investigates this issue, using Beijing and its metro system as a case study. Using a multilevel logistic model, we found that travel distance is the most important influence on rates of cycling for transfer trips between metro stations and home or workplace. There were also socioeconomic influences, with young people being less likely to cycle and more likely to use buses. Middle- and high-income earners were more likely to drive than cycle, while low-income earners were more likely to take the bus. Personal attitudes are also influential—those who prefer cheap travel were more likely to cycle. Above results suggest that the increasing city size and urban expansion are great challenges to cycling systems in growing cities. The presence of bicycle-sharing programs, mixed land use, and green parks in metro station areas were associated with greater rates of cycling transfer. In order to promote Bicycle-and-Ride schemes in metro station areas, education initiatives designed to influence behavior should be integrated with investment in bicycle infrastructure.

Bicycle-metro integration in a growing city: The determinants of cycling as a transfer mode in metro station areas in Beijing

Solving the Last Mile Problem: Ensure the Success of Public Bicycle System in Beijing

In recent years, the generation of a large amount of construction and demolition waste (CDW) has threatened the public environment and human health. The inefficient supply chain of CDW resource utilization hinders the green development of countries around the world, including China. This study aims to reveal the impact of information sharing regarding recyclers’ market demand forecast on the performance of CDW resource utilization supply chains. Therefore, this paper uses the incomplete information dynamic game method to establish and solve the decision-making model of the construction and demolition waste resource utilization supply chain under the conditions of recyclers sharing and not sharing their information. The paper then obtains the Bayesian equilibrium solution and the optimal expected profit for each party. Finally, a numerical simulation was used in order to verify the validity of the model and conclusions. The main conclusions are as follows. In the CDW resource utilization supply chain, if the recycler is more pessimistic about the market’s demand forecast, their information sharing makes the remanufacturer more motivated to improve their level of environmental responsibility. In addition, information sharing by recyclers is always beneficial in increasing the profit of the remanufacturer, but it also may make the recycler lose profit. When the efficiency of the environmental responsibility investment of remanufacturers is in a high range, information sharing increases the profits of recyclers. Conversely, information sharing has no significant effect on the profits of recyclers. The impact on the profits of the entire CDW resource utilization supply chain depends on the intensity of competition among channels, the market share of offline recycling channels and the efficiency of environmental responsibility investments.

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Impact of Recycler Information Sharing on Supply Chain Performance of Construction and Demolition Waste Resource Utilization

With the increasing number of distribution vehicles, the distribution behavior of vehicles becomes more and more complex. It is of more and more important significance to analyse the characteristics of distribution behavior by using the trajectory data of distribution vehicles of pure electric logistics for the development of low-carbon economy. The research on the distribution behavior characteristics of pure electric distribution vehicles based on trajectory data can truly reflect the status quo of urban logistics distribution, which is helpful to analyse the distribution and function of urban logistics facilities. Using the urban plots obtained from the main road network of the city as the research unit, the trajectory data of the logistics distribution vehicles is used to calculate the distribution distance time series of different travel areas, and the distribution behavior characteristics in the distribution area are summarized from the perspective of the centralized distribution area, the distribution distance, the distribution function and the regional characteristics are summarized from the perspective of the centralized distribution area, the distribution distance, the distribution function and the regional characteristics.

Analysis of Regional Distribution Behavior Characteristics of Logistics Distribution Based on Trajectory Data

According to the data of the seventh national census, combined with the statistical data over the years, this paper studies the new situation and new characteristics of China’ s labor force population, such as the change of scale and proportion, the aging of age structure, the trend of spatial agglomeration and the change of labor force population quality, analyzes the challenges faced by China’s labor market in the future, and then puts forward corresponding countermeasures and suggestions.

Zhili Liu

Papers

Solving the Last Mile Problem: Ensure the Success of Public Bicycle System in Beijing

Impact of Recycler Information Sharing on Supply Chain Performance of Construction and Demolition Waste Resource Utilization

Analysis of Regional Distribution Behavior Characteristics of Logistics Distribution Based on Trajectory Data

On the changes of China’s labor force population from the data of seventh national census