Spatiotemporal characteristics of green travel: A classification study on a public bicycle system

Analysis of Network Structure of Urban Bike-Sharing System: A Case Study Based on Real-Time Data of a Public Bicycle System

“…We analyzed Qingliangmen Suguo Supermarket Station, which had the strongest in-strength and out-strength of the PBN of Gulou District. Figure 5 shows The results showed that if an area where supermarkets, residential areas, subway stations, and schools were concentrated, it was always the main area for the use of public bicycles, which was consistent with the existing research results [7]. Furthermore, in-strength and out-strength of the stations around Qingliangmen Suguo Supermarket Station were above the average level of the network.…”

“…More public bicycle lanes promoted the use of public bicycles [14]. In general, station capacity, zonal population, employment density, commercial land, and daily life places nearby were positively correlated with cycling [7,13,[15][16][17][18][19].…”

“…Some studies of BSSs carried out clustering analysis on the stations, which essentially explored the relationship between the stations and also the internal relationship of the systems. The usage pattern of stations was identified by the clustering method, and the clustering results were influenced by station locations and socioeconomic situations [7,23,[45][46][47]. More bike-sharing movements were observed within a cluster than between clusters in Lyon [48].…”

“…Characteristics of users and stations, influencing factors, and built environment are all main research contents. Users' gender [2][3][4][5][6][7], age [3,[6][7][8], income and education [2,5,6,9,10], weather conditions [11][12][13], infrastructure construction, population density, built environment [7,[12][13][14][15][16][17][18][19], and relationship with other means of transportation [20][21][22][23][24][25][26][27][28][29][30][31][32][33] have been confirmed to affect the usage of bike-sharing. On the other hand, 2 of 17 in order to solve the problem of rebalancing, optimization of BSSs has also become another hot issue [34][35][36][37][38][39]…”

“…On the other hand, 2 of 17 in order to solve the problem of rebalancing, optimization of BSSs has also become another hot issue [34][35][36][37][38][39][40][41][42][43]. As far as research methods are concerned, statistical methods such as correlation analysis, clustering analysis, and regression analysis are adopted to analyze characteristics and influencing factors [3,7,9,13,14,19,20,22,23,44], and optimization algorithms are used to solve rebalancing operations for BSSs [35,[38][39][40]42,43].…”