Exploring year-to-year spatiotemporal changes in cycling patterns for bike-sharing system in the pre-, during and post-pandemic periods

Shi, Xiaoying; Zhao, Junjie; He, Jiaming; Xu, Haitao

doi:10.1016/j.scs.2023.104814

Cited by 10 publications

(3 citation statements)

References 49 publications

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“…Cycling distance, the number of commercial points of interest, metro ridership, and the distance to downtown are important variables in its integration with public transportation such as the metro [20]. And people use bike-sharing services regularly during COVID-19 outbreaks [21].…”

Section: Literature Reviewmentioning

confidence: 99%

“…The formulation requires the minimization of the total distance traveled by distribution vehicles, where constraints (17) and (18) ensure that at least one distribution vehicle passes through and at most K distribution vehicles pass through each station; constraint (19) ensures that distribution vehicles entering a station will necessarily exit from that station; constraint (20) defines that all vehicles used depart from the warehouse; constraint (21) eliminates the sub-cyclic constraints; constraints (22) defines that the flow on each arc used does not exceed the vehicle capacity; constraint (23) strictly satisfies the delivery or pickup demand at each station; and constraint (24), constraint (25), and constraint (26) define the variable ranges.…”

Section: Rebalancing Model For the Docked Bike-sharing Systemmentioning

confidence: 99%

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Can Docked Bike-Sharing Systems Reach Their Dual Sustainability in Terms of Environmental Benefits and Financial Operations? A Comparative Study from Nanjing, 2017 and 2023

Liu,

Zhao

et al. 2023

Sustainability

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In this paper, we investigate the sustainability of docked bike-sharing in Nanjing in terms of environmental benefits and financial operations by comparing the data of March 2017 and March 2023 in Nanjing. We modify a community detection method, give and prove dynamic boundary conditions for the objective function of the heuristic algorithm, and realize the estimation of the rebalancing coefficients for this mega-system, thus obtaining more accurate emission factors. We find that there are significant differences in the results obtained from environmental benefit assessments over time. Further, there are also significant differences at the national level. This may signify that the assessment data of one country’s system cannot give a direct reference for another country’s system. Second, we considered the economic basis required for the environmental benefits of docked bike-sharing systems. We have calculated the sustainability of the system’s financial operations by considering its revenues over the next nine years, including the cost of facility inputs, facility upgrades, dispatching costs, labor costs, maintenance costs, and the time value of money. The results show a 4.6-fold difference in emission factors between 2017 and 2023; comparing 2017 to 2023 (when demand loss has been severe), the investment in 2017 will be recouped 2 years later than in 2023. Switching distribution vehicles from fuel vehicles to electric trikes would severely deteriorate the operator’s key financial metrics while only reducing the emission factor value by 8.64 gCO2 eq/km, leading to an unsustainable system. This signals the potential for the financial unsustainability, or even bankruptcy, of operators if the requirements for sustained emissions reductions from the bike-sharing system are divorced from the form of the economy on which it is sustainably operated. Finally, we consider the geographical patterns between environmental benefits and financial operations. We find that financial sustainability varies across geographic locations. Under financial sustainability, we gave emission factors under the mix distribution vehicle scenario.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Rebalancing Model For the Docked Bike-sharing Systemmentioning

confidence: 99%

Can Docked Bike-Sharing Systems Reach Their Dual Sustainability in Terms of Environmental Benefits and Financial Operations? A Comparative Study from Nanjing, 2017 and 2023

Liu,

Zhao

et al. 2023

Sustainability

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“…The usage of DBS is affected by many factors, such as the built environment, weather, sociodemographic factors, and the pandemic [18][19][20][21]. Liu et al pointed out that daily DBS trips were significantly related with the density, diversity, and most types of land-use, and the effect of density varies with hours [22].…”

Section: Introductionmentioning

confidence: 99%

Exploring Travel Mobility in Integrated Usage of Dockless Bike-Sharing and the Metro Based on Multisource Data

Zhang,

Cui,

Liu

et al. 2024

IJGI

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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.

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Analyzing the micro-mobility patterns of shared dockless bike and e-bike systems through multi-scale complex networks

Shi,

He,

Zhang

2024

Transportation

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Exploring year-to-year spatiotemporal changes in cycling patterns for bike-sharing system in the pre-, during and post-pandemic periods

Cited by 10 publications

References 49 publications

Can Docked Bike-Sharing Systems Reach Their Dual Sustainability in Terms of Environmental Benefits and Financial Operations? A Comparative Study from Nanjing, 2017 and 2023

Can Docked Bike-Sharing Systems Reach Their Dual Sustainability in Terms of Environmental Benefits and Financial Operations? A Comparative Study from Nanjing, 2017 and 2023

Exploring Travel Mobility in Integrated Usage of Dockless Bike-Sharing and the Metro Based on Multisource Data

Analyzing the micro-mobility patterns of shared dockless bike and e-bike systems through multi-scale complex networks

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