The Relationship between Land Use and Bicycles: A Case Study in the Manhattan Area of New York City, USA

Abstract

With rapid, sprawling cities, travel is becoming increasingly car-orientated, which can create several problems. Smart growth strategies are seen as an effective way of dealing with this problem, centered on the interrelationship between transportation and land use. However, this relationship is still being determined. This paper uses various regression methods based on bicycle trip data from the Manhattan area of New York City, and explores the relationship between the number of restaurants, amenity facilities, income, rent, population, and the number of trips. The results show that the account of shopping facilities, rent, and population performs better and has a more significant positive correlation with the number of bicycle trips due to its better R-squared value and smaller possible multicollinearity. Triggered discussion on the impact of land use mix on travel selection. It illustrates land use mixing significantly reduces car trips, increases the use of surrounding transport facilities, and is politically feasible.