Integrating shared autonomous vehicle in public transportation system: A supply-side simulation of the first-mile service in Singapore

Shen, Yu; Zhang, Hongmou; Zhao, Jinhua

doi:10.1016/j.tra.2018.04.004

Cited by 190 publications

(141 citation statements)

References 47 publications

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“…Among the service quality aspects, respondents appreciated the provision of a flexible door-to-door service, which current public transport systems are unable to offer. This finding corresponds with Shen, Zhang, and Zhao (2018), who postulated that a door-to-door service would make automated vehicles attractive. The positive outlook of respondents is conditional on requirements of speed and reliability: A large number of respondents indicated that the current shuttle speed was too slow to be of real use on their daily mobility trips.…”

Section: Service Qualitysupporting

confidence: 85%

What impressions do users have after a ride in an automated shuttle? An interview study

Nordhoff

Winter

Payre

et al. 2019

Transportation Research Part F: Traffic Psychology and Behaviou

121

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Section: Service Qualitysupporting

confidence: 85%

What impressions do users have after a ride in an automated shuttle? An interview study

Nordhoff

Winter

Payre

et al. 2019

Transportation Research Part F: Traffic Psychology and Behaviou

121

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“…AV technology has received considerable attention in major car manufacturers and IT companies. Under the background of the sharing economy, the advent of AV technology will bring a novel mobility pattern such as SAV, which could transform vehicles from an owned product to an on-demand service [3][4][5]. SAVs can drive to pick up passengers autonomously without moving to a waiting spot.…”

Section: Introductionmentioning

confidence: 99%

Exploring the Factors Affecting Mode Choice Intention of Autonomous Vehicle Based on an Extended Theory of Planned Behavior—A Case Study in China

et al. 2019

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Autonomous vehicle (AV) is an innovative transport option that has the potential to disrupt all industries tied to transportation systems. The advent of AV technology will bring a novel on-demand mobility pattern such as shared autonomous vehicle (SAV). To promote AV technology, it is important to understand which factors influence travelers’ intention to use AVs and SAVs. This paper collected literature from databases such as Scopus, Web of Science and ScienceDirect, and made a systematic review. The study aims to explore the determinants that influence travelers’ behavioral intentions towards use AVs and SAVs based on an extended version of the theory of planned behavior, which incorporates knowledge and perceived risk. This study was tested empirically using a valid survey sample collected from 906 respondents in China. Structural equation model was conducted to investigate the predictors of intentions to use AVs and SAVs. Results showed that knowledge about AV technology and perceived risk are the two main potential obstacles for travelers to use AVs and SAVs. Attitude significantly affects AVs and SAV choice intentions. Subjective norm is the most critical factor affecting the travelers' intention to use AVs. Perceived behavioral control potentially stymie the travelers' intention to use SAVs. The findings will enhance the understanding of travelers’ choice motivation from psychological and service perspectives, and provide data support for governments and companies in improving travel management strategies and product services.

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“…The impact of ATs, carsharing and ride-hailing on overall travel demand seems to be inconclusive and may depend on many local factors. On the one hand, these options can support multi-modal traffic in urban areas and thereby reduce the number of vehicle-km [137,138]. On the other hand, they may favor urban sprawl and compete with public transport, leading to increased travel demand [139][140][141].…”

Section: Me In Vehiclesmentioning

confidence: 99%

Material efficiency strategies to reducing greenhouse gas emissions associated with buildings, vehicles, and electronics—a review

Hertwich

Ali

Ciacci

et al. 2019

Environ. Res. Lett.

306

164

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As one quarter of global energy use serves the production of materials, the more efficient use of these materials presents a significant opportunity for the mitigation of greenhouse gas (GHG) emissions. With the renewed interest of policy makers in the circular economy, material efficiency (ME) strategies such as light-weighting and downsizing of and lifetime extension for products, reuse and recycling of materials, and appropriate material choice are being promoted. Yet, the emissions savings from ME remain poorly understood, owing in part to the multitude of material uses and diversity of circumstances and in part to a lack of analytical effort. We have reviewed emissions reductions from ME strategies applied to buildings, cars, and electronics. We find that there can be a systematic trade-off between material use in the production of buildings, vehicles, and appliances and energy use in their operation, requiring a careful life cycle assessment of ME strategies. We find that the largest potential emission reductions quantified in the literature result from more intensive use of and lifetime extension for buildings and the light-weighting and reduced size of vehicles. Replacing metals and concrete with timber in construction can result in significant GHG benefits, but trade-offs and limitations to the potential supply of timber need to be recognized. Repair and remanufacturing of products can also result in emission reductions, which have been quantified only on a case-by-case basis and are difficult to generalize. The recovery of steel, aluminum, and copper from building demolition waste and the end-of-life vehicles and appliances already results in the recycling of base metals, which achieves significant emission reductions. Higher collection rates, sorting efficiencies, and the alloy-specific sorting of metals to preserve the function of alloying elements while avoiding the contamination of base metals are important steps to further reduce emissions.

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Integrating shared autonomous vehicle in public transportation system: A supply-side simulation of the first-mile service in Singapore

Cited by 190 publications

References 47 publications

What impressions do users have after a ride in an automated shuttle? An interview study

What impressions do users have after a ride in an automated shuttle? An interview study

Exploring the Factors Affecting Mode Choice Intention of Autonomous Vehicle Based on an Extended Theory of Planned Behavior—A Case Study in China

Material efficiency strategies to reducing greenhouse gas emissions associated with buildings, vehicles, and electronics—a review

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