Autonomous vehicles in mixed motorway traffic: capacity utilisation, impact and policy implications

2021 ◽  
Author(s):  
Andrea Papu Carrone ◽  
Jeppe Rich ◽  
Christian Anker Vandet ◽  
Kun An
2021 ◽  
Vol 34 (1) ◽  
Author(s):  
MOHAMMED AL-SIYABI ◽  
SHEKAR BOSE ◽  
HUSSEIN AL-MASROORI

This paper investigates the extent, dynamics, and factors influencing technical efficiency (TE) and capacity utilisation (CU) in small-scale fisheries (SSF) using a two-stage data envelopment analysis (DEA) approach covering the period 2010–2012. A considerable extent of boat-level technical inefficiency, capacity underutilisation and scale inefficiency were evident. On average, TE and CU levels under the constant returns to scale (CRS) and variable returns to scale (VRS) models declined over time. The TE and CU scores of 2010 remained unaltered with the addition of ‘fishing time’ as an input to the model. The proportion of boats with unitary scale efficiency (SE) decreased from 26 % in 2010 to 12 % in 2012. The underutilisation rates of the inputs ‘crew’ and ‘fishing time’ ranged from 15.5 % to 31.6 % and 15.8 % to 28.6 %, respectively. Among the species category, the extent of excess capacity was 70 % to 156 % and 47 % to 119 % under the CRS and VRS models, respectively. The second-stage DEA results indicated that the explanatory variables ‘fishing location’, ‘catch per unit of effort’ (CPUE), ‘fuel costs’ and ‘crew share’ significantly influenced CU under the CRS model. In contrast, the significant influence of subsidies and other operating costs were noted under the VRS model. For the TE case, ‘age’, ‘education’, ‘subsidy’ and ‘CPUE’ were found to be significant under the CRS and VRS models. Other significant variables were found in the study under CRS and VRS models. Finally, the results from the descriptive and empirical analysis under the two-stage DEA model are discussed together with policy implications.


2018 ◽  
Author(s):  
Karam Safarov ◽  
◽  
Thomas Kent ◽  
Eddie Wilson ◽  
Anthony Pipe ◽  
...  

2021 ◽  
Vol 13 (7) ◽  
pp. 3629
Author(s):  
Bing Xia ◽  
Jindong Wu ◽  
Jiaqi Wang ◽  
Yitao Fang ◽  
Haodi Shen ◽  
...  

Shared autonomous vehicles (SAVs) will be an important force to in reshaping urban morphology. The high operation rate and sharing degree of SAV are considered to result in a great reduction in parking area in future cities. Parking space is now a huge and widely distributed urban stock space type, which is bound to become a major challenge and opportunity for sustainable urban renewal in the digital era. Based on the SAV scenario, this paper reviews the current research on the sustainable renewal of urban public parking spaces, and proposes the four key issues involved: how much to renew (i.e., demand forecast analysis), when to renew (i.e., update time series evaluation), what to renew (i.e., function replacement decision) and how to update (i.e., design empirical research). Furthermore, it puts forward a preliminary idea on, and constructs a research framework for, the sustainable renewal methods of parking space under the SAV scenario. Finally, the theoretical, practical and policy implications of the research on sustainable renewal methods of urban public parking space are discussed. It will have great reference value for the redevelopment and reuse of the urban space types including fragmented, widely distributed and large-scale.


2000 ◽  
Vol 55 (7) ◽  
pp. 740-749 ◽  
Author(s):  
Ralph Swindle ◽  
Kenneth Heller ◽  
Bernice Pescosolido ◽  
Saeko Kikuzawa

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