Controlling Factors and Strategies of the Shared Bicycles in Jersey City, USA

Abstract

The emergence of shared bicycles provides a convenient low-carbon transportation option, which helps to reduce carbon emissions and traffic congestion, while promoting the development of low-carbon cities and the realization of sustainable mobility. This paper takes Jersey City in the United States as an example. Through the statistical analysis, it is concluded that Grove St RATH is the site with the largest number of shared bicycles, and the site is also located in the densely populated area, commercial center and public transportation hub of Jersey City. It indicates that the most used stations of shared bicycles in the city are related to the intensity of public transportation. The Grove Street stop is one of the busiest stops in Jersey City, located in the Grove Street area of downtown and also on the main thoroughfare to Manhattan in New York City. Jersey City's Hoboken Terminal station is an important transportation hub, serving NJ Transit trains, light rail, and the Hudson River Ferry. Located on the Hudson River, it offers a variety of transportation options for residents and visitors of Jersey City and the surrounding area. The delivery station of shared bicycles is near the transportation hub, which meets the travel needs of passengers going to or from the transportation hub by providing a convenient way to travel, so the station is used more. This location choice makes bike-sharing a convenient and fast alternative mode of transportation, enabling users to easily reach their destinations, especially in cases of traffic congestion or poor public transportation. However, shared bicycle parking spots in high-traffic areas may lead to parking congestion, affecting the convenience of users to park and borrow and return their cars. Therefore, it is necessary to increase the number of parking points and optimize the layout of parking points to ensure that the distribution of parking points is balanced and enough to accommodate the demand.