A Public Value-Based, Multilevel Evaluation Framework to Examine Public Bike-Sharing Systems. Implications for Cities’ Sustainable Transport Policies

Abstract

This article proposes a multilevel bike-sharing assessment framework based on the concept of public value. This approach makes it possible to combine customer satisfaction with the transport service system with determinants of demand for bicycle services in the form of value. The framework aims to evaluate the parameters of public bike systems (PBS) that determine user value, and that co-create user value, system value, and social and ecological value, to identify the characteristics of the bicycle that need improvement in order to meet users’ needs and optimize quality. The framework uses empirical verification through satisfaction surveys of PBS users in Lodz, Poland. The results of the study were subjected to factor analysis, which revealed four groups of factors that satisfy public bike users: (1) impact on the health, environment, mobility and traffic in the city, (2) reliability, and comfort, (3) intramodality, (4) price and technical availability.

Research on Pricing of Parent-Child Shared Bicycles Based on Biogeme

“…At present, scholars have researched the pricing of shared bicycles, but there is relatively scarce research and literature on parent-child shared bicycles. Yao studied the impact of factors such as the price of shared bicycles and the distance to find bicycles on the commuter corridor by using the method of behavior analysis [9]; Haider worked out a reasonable bikesharing pricing strategy through the IPAS (iterative price adjustment scheme) method to save the cost of shared bicycle scheduling, IPAS is a heuristic algorithm, which aims to achieve the goal of minimizing the number of imbalanced stations through price incentives, it divides stations into different categories and sorts them according to the current inventory status of stations and the difficulty of achieving the balance between supply and demand, and takes those stations that are not easy to achieve balance as hub stations, then adjusts route prices in each iteration to balance stations with moderate inventory [10]; Peng studied the pricing of shared bicycles under the duopoly model through game theory [11]; Podgorniak-Krzykacz built a multi-level shared bicycle evaluation framework based on the concept of public value to evaluate the reliability and price rationality of bike sharing [12]. However, the above research results consider the existing bike sharing, and do not consider the traveler's choice behavior towards the emerging parent-child bike sharing; moreover, previous studies rarely considered the heterogeneity of travelers' perception of use costs; in addition, previous studies usually combined latent variables with MNL model or NL model, and rarely studied the joint modeling of latent variables and RPL model.…”