Articles

    1. The Attentional Demand of Automobile Driving Revisited 2016

      Kujala, Tuomo; Mäkelä, Jakke; Kotilainen, Ilkka; Tokkonen, Timo

      Human Factors, Vol. 58, Issue 1, pp. 163 - 180.

      Objective: We studied the utility of occlusion distance as a function of task-relevant event density in realistic traffic scenarios with self-controlled speed. Background: The visual occlusion tech... Read more

      Objective: We studied the utility of occlusion distance as a function of task-relevant event density in realistic traffic scenarios with self-controlled speed. Background: The visual occlusion technique is an established method for assessing visual demands of driving. However, occlusion time is not a highly informative measure of environmental task-relevant event density in self-paced driving scenarios because it partials out the effects of changes in driving speed. Method: Self-determined occlusion times and distances of 97 drivers with varying backgrounds were analyzed in driving scenarios simulating real Finnish suburban and highway traffic environments with self-determined vehicle speed. Results: Occlusion distances varied systematically with the expected environmental demands of the manipulated driving scenarios whereas the distributions of occlusion times remained more static across the scenarios. Systematic individual differences in the preferred occlusion distances were observed. More experienced drivers achieved better lane-keeping accuracy than inexperienced drivers with similar occlusion distances; however, driving experience was unexpectedly not a major factor for the preferred occlusion distances. Conclusion: Occlusion distance seems to be an informative measure for assessing task-relevant event density in realistic traffic scenarios with self-controlled speed. Occlusion time measures the visual demand of driving as the task-relevant event rate in time intervals, whereas occlusion distance measures the experienced task-relevant event density in distance intervals. Application: The findings can be utilized in context-aware distraction mitigation systems, human–automated vehicle interaction, road speed prediction and design, as well as in the testing of visual in-vehicle tasks for inappropriate in-vehicle glancing behaviors in any dynamic traffic scenario for which appropriate individual occlusion distances can be defined. Read less

      Journal Article  |  Full Text Online

    2. Factors for China’s Automobile Demand Structure: Petroleum Prices or Tax Policies? 2022

      Lo, Kai Lisa; Fan, Yaqi; Zhang, Congzhi; Mi, Jinhong Jackson

      Procedia Computer Science, Vol. 199, pp. 1136 - 1143.

      China automobile demand has experienced a period of rapid growth, and the number of auto ownership has increased hugely. We collect a set of unique automobile sales data (quarterly) of China and ap... Read more

      China automobile demand has experienced a period of rapid growth, and the number of auto ownership has increased hugely. We collect a set of unique automobile sales data (quarterly) of China and apply a discontinuous regression model to study how changes in Petroleum prices and tax policy affect the sales of automobiles. The empirical results show that the impact of changes in Petroleum price on automobile consumption is not significant, however tax policy which reduces new car register tax by 50% affects the automobiles’ demand significantly. Read less

      Journal Article  |  Full Text Online

    3. Cannibalization vs. competition: An empirical study of the impact of product durability on... 2018

      Jayarajan, Dinakar; Siddarth, S.; Silva-Risso, Jorge

      International Journal Of Research In Marketing, Vol. 35, Issue 4, pp. 641 - 660.

      Many durable product categories have well developed and organized secondary markets that make it easy for consumers to purchase used versions in lieu of new ones. Manufacturers in these categories ... Read more

      Many durable product categories have well developed and organized secondary markets that make it easy for consumers to purchase used versions in lieu of new ones. Manufacturers in these categories therefore face a dilemma in deciding on how much durability to build into their new products. High durability levels increase the risk that future new product sales are lost to used versions (the cannibalization effect), but can also help the firm take sales from new and used versions produced by its rivals (the competition effect). However, there has been no empirical research to determine the relative sizes of these two effects. Our research seeks to fill this gap in the literature via an empirical study of the demand for new and used vehicles in the US automobile market. We analyze two datasets; the first from the mid-sized sedan segment in the Indianapolis DMA during 2004–2006 and the second from the Entry Sports Utility segment in the Los Angeles DMA during the period 2003–2005. We propose and implement a durability metric that is based on the over-time trajectory of used car prices and estimate a structural model of differentiated product demand with heterogeneous consumers who choose among new and used vehicles and consider durability in their choice decisions. Both datasets reveal that durability significantly impacts the demand for new and used vehicles with mean durability elasticities estimated to be about 1.7. Both datasets also show that the competition effect (85%) is significantly greater the cannibalization effect (15%). While the prior theoretical literature generally recommends that firms avoid cannibalization by reducing product durability, our findings imply that manufacturers who increase the durability of their products may see net sales gains as a result. Read less

      Journal Article  |  Full Text Online

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    Books & Media

    1. Global automobile demand. Volume 1, Major trends in mature economies

      edited by Bruno Jetin.

      Online Resources HD9710 .A2 G55 2015 ebook | Book

    2. Global automobile demand. Volume 2, Major trends in emerging economies

      edited by Bruno Jetin.

      Online Resources HD9710 .D452 G55 2015 ebook | Book

    3. Qualitative choice analysis : theory, econometrics, and an application to automobile demand

      Kenneth Train.

      Hill HD9710 .A2 T73 1986 | Book

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      Learn how to predict customer demand by applying economic models in Excel.

      Learn how to predict customer demand by applying economic models in Excel. Read less

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