An Adaptive Route Planning Method of Connected Vehicles for Improving the Transport Efficiency

In recent years, the route-planning problem has gained increased interest due to the development of intelligent transportation systems (ITSs) and increasing traffic congestion especially in urban areas. An independent route-planning strategy for each in-vehicle terminal improves its individual travel efficiency. However, individual optimal routes pursue the maximization of individual benefit and may contradict the global benefit, thereby reducing the overall transport efficiency of the road network. To improve traffic efficiency while considering the travel time of individual vehicles, we propose a new dynamic route-planning method by innovatively introducing a bidding mechanism in the connected vehicle scenario for the first time. First, a novel bidding-based dynamic route planning is proposed to formulate vehicle routing schemes for vehicles affected by congestion via the bidding process. Correspondingly, a bidding price incorporating individual and global travel times was designed to balance the travel benefits of both objectives. Then, in the bidding process, a new local search algorithm was designed to select the winning routing scheme set with the minimum bidding price. Finally, the proposed method was tested and validated through case studies of simulated and actual driving scenarios to demonstrate that the bidding mechanism would be conducive to improving the transport efficiency of road networks in large-scale traffic flow scenarios. This study positively contributes to the research and development of traffic management in ITSs.

Harsh but Expedient: Dominant Leaders Increase Group Cooperation via Threat of Punishment

Dominant leadership is, surprisingly, on the rise globally. Previous studies have found that intergroup conflict increases followers’ support for dominant leaders, but identifying the potential benefits that such leaders can supply is crucial to explaining their rise. We took a behavioral-economics approach in Study 1 ( N = 288 adults), finding that cooperation among followers increases under leaders with a dominant reputation. This pattern held regardless of whether dominant leaders were assigned to groups, elected through a bidding process, or leading under intergroup competition. Moreover, Studies 2a to 2e ( N = 1,022 adults) show that impressions of leader dominance evoked by personality profiles, authoritarian attitudes, or physical formidability similarly increase follower cooperation. We found a weaker but nonsignificant trend when dominance was cued by facial masculinity and no evidence when dominance was cued by aggressive disposition in a decision game. These findings highlight the unexpected benefits that dominant leaders can bestow on group cooperation through threat of punishment.

Impact of Process Misconception in Becker-DeGroot-Marschak Single Response Value Elicitation Procedures: An Experimental Investigation in Consumer Behavior Using the IKEA Effect

Consumer researchers frequently employ valuation experiments to assess consumer opinions and test related hypotheses. One popular method used in many such experiments is the Becker- DeGroot-Marschak (BDM) single-response value elicitation procedure that initiates an incentive for the subjects to respond with their true valuation by utilizing a random bid to which the participants’ bid is compared. However, the “random bid” is not a straightforward concept, and the participants may not fully understand the mechanics of the bidding process. Therefore, they may incorrectly associate the bidding mechanism with a conventional auction bidding process in which the highest bidder wins, causing biased valuation outcomes. In this paper, we introduce a comprehension measurement step to eliminate the process comprehension bias in BDM valuation experiments. We also discuss the potential impact of the treatment of “zero” bidders in the BDM procedure. The present work shows that the size and statistical significance of past consumer research results are positively correlated with the participant comprehension of the valuation procedure. The results suggest that consumer research using a single-response value elicitation procedure, which initiates an incentive for the subjects to respond with their true valuation, may not be trusted if the comprehension level is not controlled.

BRIDGING TOGETHER AUTHORITARIAN RIGHT-WING POLITICS AND NEOLIBERAL URBAN POLITICS: ISTANBUL’S BID FOR 2020 SUMMER OLYMPICS

This study aims to analyse the political impact of sports mega-events through urban lenses. Sports mega-events often come along with drastic transformations in the built environment of the city where they are held. Contemporary urban impact of the sports mega-events, with the increased role rested by local and/or national governments on the private sector in the organization, is highly interconnected with the neoliberal measures of selling out the urban space, undertaken for hosting the event. In terms of the hosts, there is an increasing shift towards the countries where right-wing authoritarian parties are in power. I argue that the promises of these governments guaranteeing more swift urban transformations to meet the infrastructure requirements of hosting these events cause this shift and in turn, right-wing authoritarian governments use these events as platforms for disseminating their ideologies. This research aims to trace this trend, based on the example of İstanbul’s failed bid to host the 2020 Summer Olympics and the neoliberal urban policies in Turkey under the Justice and Development Party (AKP). By using the city master plan presented during the bidding process and the statements made by AKP officials, I aim to demonstrate how hosting international sports events in Turkey is undertaken as part of a neoliberal urban policy and how this is incorporated into a wider conservative-Islamist political project by the AKP.

Model to measure the effect of the integration of information in business processes. Example: bidding process for an industry

PurposeThe main contribution of the research is to propose a quantitative model based on indicators designed by the authors, to measure the effect on the performance of the process caused by an improvement in the integration of information.Design/methodology/approachIt is a descriptive and exploratory investigation, immersed in a case study; the bidding process was selected by senior management due to the high complexity and impact of this process on the organization. The protocol for carrying out the study involved interviews with the owner of the process and all the officials involved, as sources of information, inputs to model in BPMN2.0 at the activity level and a statistical validation of the model was carried out, to sustain an acceptable confidence of the same.FindingsAmong the most outstanding results of the research are that the effects of the improvements or changes in the activities were reflected or evidenced in subsequent activities, not in the immediate ones or in which the improvement is applied. This confirms the theorization of the systemic approach to processes since the effects of the improvements are not close to their application.Research limitations/implicationsFor the proposed model, it was evident that the measurement of the efficiency and quality dimensions of the process activities required verification in transactional databases where nonconformities and nonquality costs related to orders are recorded.Originality/valueIn the reviewed literature, there are no models or reference frameworks that quantitatively measure the effects of the integration of information on the performance of processes.