scholarly journals The Herd Behavior on Peer-To-Peer Online Lending Markets: Evidence from China

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Rong Liu ◽  
Ningning Chen ◽  
Yuelei Li
Keyword(s):  
Empirical Study ◽  
Influencing Factors ◽  
Peer To Peer ◽  
Herd Behavior ◽  
Chinese Market ◽  
Transaction Data ◽  
Time Required ◽  
Online Lending

Based on the transaction data and related borrowers’ characteristics of Renrendai.com, this study conducts an empirical study on the influencing factors of the investor’s herd behavior and rationality of herd behavior on a Chinese online lending platform. We mainly find that investors’ herd behavior exists significantly on Renrendai.com; there is an “inverted U-shaped” relationship between the number of bids and the herd behavior of investors. When the number of bids exceeds a certain amount, the time required for the order to obtain another bid will be prolonged, and the investors’ herd behavior will be slowed down; herd behavior on Renrendai.com in Chinese market is a partly rational pursuit, but irrational in general.

scholarly journals Independent Map Enhancement for a Spatial Road Network: Fundamental Applications and Opportunities

2020 ◽  
Vol 10 (1) ◽  
pp. 8
Author(s):  
Sultan Alamri
Keyword(s):  
Road Network ◽  
Road Networks ◽  
Road Construction ◽  
Peer To Peer ◽  
Transport Infrastructure ◽  
Traffic Density ◽  
Additional Time ◽  
Developing Cities ◽  
Time Required ◽  
Future Work

In many developing cities, the improvement of transport infrastructure is usually accompanied by major road construction and maintenance. This paper presents approaches and opportunities using peer-to-peer updating to improve spatial road networks undergoing construction and maintenance, which in turn will improve traffic flow and benefit cities overall. In many cities, the spatial road network requires maintenance, and these works often require traffic detours. With the current GPS (Global Positioning System) services, there is a noticeable delay in the updating of many spatial road networks. Thus, when a driver plans a trip to a certain location (such as Starbucks), his/her usual route may have changed, but the spatial road network in the GPS has not been updated. This can affect the user in many ways. For example, a trip that usually takes five minutes might now take half an hour, taking into account the additional time required to find alternative roads and possibly encountering more unexpected road closures, until the driver reaches his/her destination. This paper addresses this issue by proposing solutions that offer several advantages including a new peer-to-peer updating mechanism that helps to direct the driver to another route when road changes occur. Moreover, the peer-to-peer updating mechanism can enable the independent monitoring of road conditions and the updating of maps for newly-constructed roads, as well as the analysis of road congestions, traffic density, and people movements at certain times. Note that this work focuses on the conceptual ideas and approaches intended to improve independent maps, and the detailed algorithms have been left for future work.

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