Internet rental bicycle capacity measuring and calculating method based on travel demand

Abstract

The invention discloses a method for measuring and calculating the capacity of an internet rented bicycle based on travel demands, and the method comprises the steps: calculating the daily average travel demand of the whole travel of the internet rented bicycle; calculating the daily average travel demand quantity of the Internet rented bicycle connection public transport, and calculating to obtain the daily average travel total demand quantity of Internet rented bicycle travel; and then on the basis of the characteristics of similar cities, constructing a city internet rented bicycle turnover rate calculation model based on geographical weighted regression, and on the basis of the model, calculating the internet rented bicycle turnover rate of a target city. And calculating the total scale of the Internet rented bicycles required by urban travel according to the daily average travel demand of the Internet rented bicycles and the turnover rate of the Internet rented bicycles, namely, the Internet rented bicycle capacity. According to the invention, an urban traffic management department can measure and calculate the number of Internet rental bicycles, and a basis can be provided for the control and operation management of the input amount of the urban Internet rental bicycles.

Description

technical field [0001] The invention relates to the technical field of bicycle rental, in particular to a method for measuring and calculating the capacity of Internet rental bicycles based on travel demand. Background technique [0002] Since 2016, with the advent of the Internet and the sharing model, the travel mode of "Internet and bicycles" has emerged as the times require. Internet rental bicycles, represented by ofo and Mobike, are emerging green transportation tools in my country. With the support of relevant policies, it has developed rapidly. The emergence of Internet rental bicycles has played an active role in better meeting the travel needs of the public, effectively solving the "last mile" problem of urban traffic travel, alleviating urban traffic congestion, and building a green travel system. play a vital role. However, due to the rapid development of the industry, many problems have been caused and exposed. [0003] With the rapid development of Internet r...

AI Technical Summary

Problems solved by technology

Excessive delivery not only affects the traffic order in the city, resulting in urban traffic congestion, but also affects the experience of the Internet rental bicycle user group, and also causes many problems such as random parking, untimely vehicle scheduling, and insufficient parking space. The original intention of developing the sharing economy

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