Study on Clustering of Free-Floating Bike-Sharing Parking Time Series in Beijing Subway Stations

Xu, Dandan; Bian, Yang; Rong, Jian; Wang, Jiachuan; Yin, Baocai

doi:10.3390/su11195439

Cited by 14 publications

(11 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Moreover, shared bikes have obvious social attributes, which leads to the significant influence of media on residents' behaviors. Policies could encourage the recommendation of this environmentally-friendly travel mode to neighboring friends, relatives, and social contacts [7,45]. On the other hand, urban governments should dispel residents' anxieties through news media, social atmosphere, and word-of-mouth among groups [3] to improve residents' willingness to use shared bikes.…”

Section: Subjective Normsmentioning

confidence: 99%

“…PBS (Figure 2b) is often run or subsidized by the government, involving massive docking station constructions, whilst FFBS is a newer form, which has been developing rapidly in China since 2016. It is found that FFBS ( Figure 2c) not only provides a new kind of sharing mode, but also gives rise to an unexpected change for sustainable transport [7].…”

Section: Introductionmentioning

confidence: 99%

“…Users can rent bikes by scanning a QR code (a kind of two-dimensional code) with the help of a smartphone. [7] By June 2018, over 1.9 million bikes were available, and the average amount of daily usage reached approximately 2,250,000. The declining trend of the share rate of cycling for the past few years has been altered, or even slightly increased by 1.1%, with the emergence of FFBS [5].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Research on the Psychological Model of Free-floating Bike-Sharing Using Behavior: A Case Study of Beijing

Bian

Shu³

2020

Sustainability

View full text Add to dashboard Cite

As a clean, sustainable transport tool, bicycles have significant advantages in short-distance travel. Despite many efforts assumed in Beijing to improve the cycling environment, the popularity of cycling remains relatively low. However, the advent of the free-floating bike-sharing (FFBS) system has engendered an unexpected cycling enthusiasm in Beijing. Therefore, it is of great importance to delve into why travelers prefer FFBS as a transportation form from a psychological perspective. In this paper, 352 valid questionnaires were collected from an online survey, and an extended theory of planned behavior (TPB) was adopted to examine the psychological determinants of intention and actual behavior to use FFBS. The results showed that men and car-owners prefer vehicles and show a lower willingness to use FFBS. In contrast, residents under the age of 60, residents with FFBS riding experience, and residents skilled in cycling are inclined to use FFBS; the economic convenience of FFBS is the most important attractant for FFBS, while bad weather is the biggest hindrance factor for residents to use FFBS; however, imperfection in infrastructure has no significant impact on reducing residents’ willingness to use FFBS. These results have important implications for planners to better understand the FFBS use behavior, and several suggestions are proposed to support the policymaking about FFBS.

show abstract

Section: Subjective Normsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Research on the Psychological Model of Free-floating Bike-Sharing Using Behavior: A Case Study of Beijing

Bian

Shu³

2020

Sustainability

View full text Add to dashboard Cite

show abstract

“…On sidewalks, where the space for pedestrians is limited, the inconvenience is even greater. It also affects particularly vulnerable groups, such as people with reduced mobility [14]. A number of measures are already being taken, for example, through incentives to the users themselves [15], but others have to be implemented to regulate the zones for parking.…”

Section: Introductionmentioning

confidence: 99%

Parking Places to Moped-Style Scooter Sharing Services Using GIS Location-Allocation Models and GPS Data

Pérez-Fernández

Palomares

2021

IJGI

View full text Add to dashboard Cite

Moped-style scooters are one of the most popular systems of micro-mobility. They are undoubtedly good for the city, as they promote forms of environmentally-friendly mobility, in which flexibility helps prevent traffic build-up in the urban centers where they operate. However, their increasing numbers are also generating conflicts as a result of the bad behavior of users, their unwarranted use in public spaces, and above all their parking. This paper proposes a methodology for finding parking spaces for shared motorcycle services using Geographic information system (GIS) location-allocation models and Global Positioning System (GPS) data. We used the center of Madrid and data from the company Muving (one of the city’s main operators) for our case study. As well as finding the location of parking spaces for motorbikes, our analysis examines how the varying distribution of demand over the course of the day affects the demand allocated to parking spaces. The results demonstrate how reserving a relatively small number of parking spaces for scooters makes it possible to capture over 70% of journeys in the catchment area. The daily variations in the distribution of demand slightly reduce the efficiency of the network of parking spaces in the morning and increase it at night, when demand is strongly focused on the most central areas.

show abstract

“…Assuming that social media activities in buildings with similar functions have comparable spatiotemporal patterns, a dynamic time warping (DTW) distance using a k-medoids method was applied to convert group buildings with similar social media activities into functional areas [17]. Some studies employed a time series analysis based on the DTW distances to explore the travel characteristics of the bike-sharing system [18][19][20].…”

Section: Introductionmentioning

confidence: 99%

Exploring the Spatial-Temporal Characteristics of Traditional Public Bicycle Use in Yancheng, China: A Perspective of Time Series Cluster of Stations

Gao

Wei²,

Wang³

et al. 2020

Sustainability

View full text Add to dashboard Cite

Traditional dock-based public bicycle systems continue to dominate cycling in most cities, even though bicycle-sharing services are an increasingly popular means of transportation in many of China’s large cities. A few studies investigated the traditional public bicycle systems in small and mid-sized cities in China. The time series clustering method’s advantages for analyzing sequential data used in many transportation-related studies are restricted to time series data, thereby limiting applications to transportation planning. This study explores the characteristics of a typical third-tier city’s public bicycle system (where there is no bicycle-sharing service) using station classification via the time series cluster algorithm and bicycle use data. A dynamic time warping distance-based k-medoids method classifies public bicycle stations by using one-month bicycle use data. The method is further extended to non-time series data after format conversion. The paper identified three clusters of stations and analyzed the relationships between clusters’ features and the stations’ urban environments. Based on points-of-interest data, the classification results were validated using the enrichment factor and the proportional factor. The method developed in this paper can apply to other transportation analysis and the results also yielded relevant strategies for transportation development and planning.

show abstract

Study on Clustering of Free-Floating Bike-Sharing Parking Time Series in Beijing Subway Stations

Cited by 14 publications

References 33 publications

Research on the Psychological Model of Free-floating Bike-Sharing Using Behavior: A Case Study of Beijing

Research on the Psychological Model of Free-floating Bike-Sharing Using Behavior: A Case Study of Beijing

Parking Places to Moped-Style Scooter Sharing Services Using GIS Location-Allocation Models and GPS Data

Exploring the Spatial-Temporal Characteristics of Traditional Public Bicycle Use in Yancheng, China: A Perspective of Time Series Cluster of Stations

Contact Info

Product

Resources

About