A comprehensive review of shared mobility for sustainable transportation systems

Zhu, Jiangtao; Xie, Ningke; Cai, Zeen; Tang, Wei; Chen, Xiqun

doi:10.1080/15568318.2022.2054390

Cited by 32 publications

(13 citation statements)

References 190 publications

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“…Zhao et al (2021) made use of an evolutionary game and obtained that the government's regulation of bikesharing enterprises was a relatively stable evolution trend. Zhu et al (2022) showed that if government supervision was added in the research framework both users' behavior and enterprises' supply could be regulated, and it was easy to achieve sustainable development of urban transportation. Sun et al (2022) proved that controlling government supervision investment was helpful to promote the coordinated recycling of abandoned bicycles.…”

Section: Government Regulation Of Bike-sharing Enterprisesmentioning

confidence: 99%

Government regulation strategy for the maintenance of bike sharing

Wang

Wang²,

Deng³

2023

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PurposeThe expansion of bike-sharing enterprises has led to a series of social problems, and due to the high breakage rate and high recycling cost of bike sharing, enterprises are reluctant to maintain them. Therefore, government regulation does play a leading role in maintaining bike sharing. This study’s purpose is to investigate how the government should regulate the bike-sharing enterprises that maintain bicycles.Design/methodology/approachFirstly, the authors assume that there is only one bike-sharing enterprise and establish a game model that the government regulates the enterprise. Furthermore, the authors extend the model to the case that there are two competing enterprises in the market. Finally, through numerical analysis, the influence of various factors on the government strategy and revenue is analyzed.FindingsThe authors find that the regulatory probability of two enterprises are regulated by the government is larger than that of one enterprise. When two bike-sharing enterprises compete without government regulation, both will choose the non-self-discipline strategy, thus falling into the Prisoner's Dilemma. If the government regulates them, then both enterprises will choose the self-discipline strategy. Finally, through numerical analysis, it is found that the self-discipline behavior of bike-sharing enterprises is related to the government regulatory probability, the cost of self-discipline, the probability of being reported and the penalties. Interestingly, the cost of government regulation will not affect the regulation probability of government.Practical implicationsThis research provides a theoretical reference for the government to make the regulation strategies of bike sharing and achieve the sustainable development of bike sharing.Originality/valueThis research provides a theoretical reference for the government to make the regulation strategies of bike sharing and achieve the sustainable development of bike sharing.

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Section: Government Regulation Of Bike-sharing Enterprisesmentioning

confidence: 99%

Government regulation strategy for the maintenance of bike sharing

Wang

Wang²,

Deng³

2023

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“…Shared mobility encourages the sharing of transportation resources and an increase in vehicle utilization, thereby reducing vehicles and associated emissions. Overall, emerging shared mobility models can be summarized into mainly three categories [ 5 , 23 , 24 , 25 ]:…”

Section: Related Workmentioning

confidence: 99%

The Impact of Community Shuttle Services on Traffic and Traffic-Related Air Pollution

Zhao

Fang²,

Tang³

et al. 2022

IJERPH

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Community shuttle services have the potential to alleviate traffic congestion and reduce traffic pollution caused by massive short-distance taxi-hailing trips. However, few studies have evaluated and quantified the impact of community shuttle services on urban traffic and traffic-related air pollution. In this paper, we propose a complete framework to quantitatively assess the positive impacts of community shuttle services, including route design, traffic congestion alleviation, and air pollution reduction. During the design of community shuttle services, we developed a novel method to adaptively generate shuttle stops with maximum service capacity based on residents’ origin–destination (OD) data, and designed shuttle routes with minimum mileage by genetic algorithm. For traffic congestion alleviation, we identified trips that can be shifted to shuttle services and their potential changes in traffic flow. The decrease in traffic flow can alleviate traffic congestion and indirectly reduce unnecessary pollutant emissions. In terms of environmental protection, we utilized the COPERT III model and the spatial kernel density estimation method to finely analyze the reduction in traffic emissions by eco-friendly transportation modes to support detailed policymaking regarding transportation environmental issues. Taking Chengdu, China as the study area, the results indicate that: (1) the adaptively generated shuttle stops are more responsive to the travel demands of crowds compared with the existing bus stops; (2) shuttle services can replace 30.36% of private trips and provide convenience for 50.2% of commuters; (3) such eco-friendly transportation can reduce traffic emissions by 28.01% overall, and approximately 42% within residential areas.

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“…Regional revitalization would in turn attract young people to return to their hometowns for 'placemaking', thus contributing to betterment of local life quality. On the other hand, tourists using SDRTS when traveling in remote townships help reduce air pollution and tra c congestion, thus promoting environmental sustainability (Zhu et al, 2022).…”

Section: Implications For the Government And Service Operatorsmentioning

confidence: 99%

“…Nevertheless, these advantages cannot guarantee nancial sustainability for SDRTS (Jokinen et al, 2019;Mohamed, et al, 2019;Zhu et al, 2022). Rather, a reasonable charge for maintaining operations with service quality that users are willing to pay for is the key.…”

Section: Introductionmentioning

confidence: 99%

Willingness-to-pay for shared demand responsive transit service in remote rural areas

Liang

2022

Preprint

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Shared Demand-Responsive Transit Service (SDRTS) is widely promoted around the world to meet mobility needs of remote rural areas with low passenger demand from the sparse and spatially scattered population. This study explored the fare that potential SDRTS users are willing to pay by analyzing empirical evidence from two townships in Taiwan. The potential users included both local residents and tourists. Contingent valuation with triple-bounded dichotomous choices for two scenario designs was used for willingness-to-pay (WTP) assessment. Results obtained revealed that WTP for SDRTS among local residents was influenced by socio-economic factors including gender, age, average income and prior experience. Moreover, those who considered driving safety important are willing to pay more for SDRTS while those with great concern for fare have lower WTP. As for tourists, age and waiting time are more influential factors on their WTP. Prices estimated using linear and interval regression analyses were similar. However, tourists were found willing to pay more for SDRTS than local residents, indicating different fares can be charged for the two user groups. The present findings can serve as reference in SDRTS pricing.

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A comprehensive review of shared mobility for sustainable transportation systems

Cited by 32 publications

References 190 publications

Government regulation strategy for the maintenance of bike sharing

Government regulation strategy for the maintenance of bike sharing

The Impact of Community Shuttle Services on Traffic and Traffic-Related Air Pollution

Willingness-to-pay for shared demand responsive transit service in remote rural areas

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