Affiliation:
1. School of Transportation Engineering, Shandong Jianzhu University, Jinan 250101, China
2. College of Transportation Engineering, Tongji University, 4800 Cao’an Road, Shanghai 201804, China
Abstract
Dockless bike-sharing (DBS) is a green and flexible travel mode, which has been considered as an effective way to address the first-and-last mile problem. A two-level process is developed to identify the integrated DBS–metro trips. Then, DBS trip data, metro passenger data, socioeconomic data, and built environment data in Shanghai are used to analyze the spatiotemporal characteristics of integrated trips and the correlations between the integrated trips and the explanatory variables. Next, multicollinearity tests and autocorrelation tests are conducted to select the best explanatory variables. Finally, a geographically and temporally weighted regression (GTWR) model is adopted to examine the determinants of integrated trips over space and time. The results show that the integrated trips account for 16.8% of total DBS trips and that departure-transfer trips are greater than arrival-transfer trips. Moreover, the integrated trips are concentrated in the central area of the city. In terms of impact factors, it is found that GDP, government count, and restaurant count are negatively correlated with the number of integrated trips, while house price, entropy of land use, transfer accessibility index, and metro passenger flow show positive relationships. In addition, the results show that the GTWR model outperforms the OLS model and the GWR model.
Funder
Youth Innovation Team Science and technology support project in Colleges and Universities of Shandong Province
Shandong Provincial Natural Science Foundation
Reference77 articles.
1. Exploring the equity performance of bike-sharing systems with disaggregated data: A story of southern Tampa;Chen;Transp. Res. A,2019
2. Analyzing the structural properties of bike-sharing networks: Evidence from the United States, Canada, and China;Wu;Transp. Res. A,2020
3. The social sustainability of cycling: Assessing equity in the accessibility of bike-sharing services;Giuffrida;J. Transp. Geogr.,2023
4. Understanding bike-sharing mobility in response to the COVID-19 pandemic;Jia;Cities,2023
5. Evaluation of urban public transport priority performance based on the improved TOPSIS method: A case study of Wuhan;Zhang;Sustain. Cities Soc.,2018
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献