On Usage Context of Hybrid Electric Vehicles in Choice Studies

2011 ◽  
Author(s):  
Lin He ◽  
Wei Chen ◽  
Guenter Conzelmann
Keyword(s):  
Hybrid Electric Vehicle ◽  
Choice Model ◽  
Principal Component ◽  
Choice Modeling ◽  
Multiple Sources ◽  
Hybrid Electric ◽  
Using Data ◽  
Household Travel ◽  
Usage Context ◽  
The Relationship

Considering usage context attributes in choice modeling has been shown to be important when product performance highly depends on the usage context. To build a reliable choice model, it is critical to first understand the relationship between usage context attributes and customer profile attributes, then to identify the market segmentation characterized by both sets of attributes, and finally to construct a choice model by integrating data from multiple sources. This is a complex procedure especially when a large number of customer attributes are potentially influential to the product choice. Using the hybrid electric vehicle (HEV) as an example, this paper presents a systematic procedure and the associated data analysis techniques for implementing each of the above steps. Usage context and customer profile attributes extracted from both National Household Travel Survey (NHTS) and Vehicle Quality Survey (VQS) data are first analyzed to understand the relationship between usage context attributes and customer profile attributes. Next the principal component analysis is utilized to identify the key characteristics of hybrid vehicle drivers, and to determine the market segmentations of HEV and the critical attributes to include in choice models. Before the two sets of data are combined for choice modeling, statistical analysis is used to test the compatibility of the two datasets. A pooled choice model created by incorporating usage context attributes illustrates the benefits of context-based choice modeling using data from multiple sources. Even though NHTS and VQS have been used in the literature to study transportation patterns and vehicle quality ratings, respectively, this work is the first to explore how they may be used together to benefit the study of customer preference for HEVs.

scholarly journals A Charging Location Choice Model for Plug-In Hybrid Electric Vehicle Users

2019 ◽  
Vol 11 (20) ◽  
pp. 5761 ◽  
Author(s):  
Bolong Yun ◽  
Daniel (Jian) Sun ◽  
Yingjie Zhang ◽  
Siwen Deng ◽  
Jing Xiong
Keyword(s):  
Electric Vehicle ◽  
Electric Vehicles ◽  
Hybrid Electric Vehicle ◽  
Choice Model ◽  
Environmental Benefits ◽  
The Public ◽  
Home Based ◽  
Hybrid Electric ◽  
Charging Stations ◽  
The Relationship

Electric vehicles (EVs) are promising alternatives to replace traditional gasoline vehicles. The relationship between available charging stations and electric vehicles has to be precisely coordinated to facilitate the increasing promotion and usage of EVs. This paper aims to investigate the choice of the charging location with global positioning system (GPS) trajectories of 700 Plug-in Hybrid Electric Vehicle (PHEV) users as well as the charging facility data in Shanghai. First, the recharge accessibility of each PHEV user was investigated, and 9% rely solely on public charging networks. Then, we explored the relationship between fuel consumption and the average distance between charging to analyze the environmental benefits of PHEVs. It was found that 16% PHEVs are similar to EVs, and 9% whose drivers rely solely on public charging stations are similar to internal combustion engine (ICE) vehicles. PHEV users were divided into four types based on the actual recharge access: home and workplace-based user (private + workplace + public), the home-based user (private + public), the workplace-based user (workplace + public), and the public-based user (public). Models were developed to identify and compare the factors that influence PHEV user’s charging location choices (home, workplace, and public stations). The modeling and results interpretation were carried out for all PHEV users, home and workplace-based users, home-based users, and workplace-based users, respectively. The estimation results demonstrated that PHEV users tended to charge at home or workplace rather than public charging stations. Charging price, charging price tariff, the initial state of charge (SOC), dwell time, charging power, the density and size of public charging stations, the total number of public charging, vehicle kilometer travel (VKT) of the current trip and current day are the main predictors when choosing the charging location. Findings of this study may provide new insights into the operational strategies of the public charging station as well as the deployment of public charging facilities in urban cities.

Accessibility and Intraurban Travel

1987 ◽  
Vol 19 (6) ◽  
pp. 735-748 ◽  
Author(s):  
S Hanson ◽  
M Schwab
Keyword(s):  
Travel Behavior ◽  
Activity Spaces ◽  
Household Travel Survey ◽  
Trip Frequency ◽  
Potential Activity ◽  
Using Data ◽  
Household Travel ◽  
Automobile Use ◽  
The Relationship ◽  
Travel Distances

This paper contains an examination of the fundamental assumption underlying the use of accessibility indicators: that an individual's travel behavior is related to his or her location vis-à-vis the distribution of potential activity sites. First, the conceptual and measurement issues surrounding accessibility and its relationship to travel are reviewed; then, an access measure for individuals is formulated. Using data from the Uppsala (Sweden) Household Travel Survey and controlling for sex, automobile availability, and employment status, the authors explore the relationship between both home- and work-based accessibility and five aspects of an individual's travel: mode use, trip frequencies and travel distances for discretionary purposes, trip complexity, travel in conjunction with the journey to work, and size of the activity space. From the results it can be seen that although all of these travel characteristics are related to accessibility to some degree, the travel–accessibility relationship is not as strong as deductive formulations have implied. High accessibility levels are associated with higher proportions of travel by nonmotorized means, lower levels of automobile use, reduced travel distances for certain discretionary trip purposes, and smaller individual activity spaces. Furthermore, the density of activity sites around the workplace affects the distances travelled by employed people for discretionary purposes. Overall, accessibility level has a greater impact on mode use and travel distance than it does on discretionary trip frequency. This result was unexpected in light of the strong trip frequency–accessibility relationship posited frequently in the literature.

A Framework for Choice Modeling in Usage Context-Based Design

2010 ◽  
Author(s):  
Lin He ◽  
Christopher Hoyle ◽  
Wei Chen ◽  
Jiliang Wang ◽  
Bernard Yannou
Keyword(s):  
Data Collection ◽  
Product Design ◽  
Consumer Choice ◽  
Choice Model ◽  
Consumer Preferences ◽  
Choice Modeling ◽  
Product Performance ◽  
Choice Data ◽  
Modeling Framework ◽  
Usage Context

Usage Context-Based Design (UCBD) is an area of growing interest within the design community. A framework and a step-by-step procedure for implementing consumer choice modeling in UCBD are presented in this work. To implement the proposed approach, methods for common usage identification, data collection, linking performance with usage context, and choice model estimation are developed. For data collection, a method of try-it-out choice experiments is presented. This method is necessary to account for the different choices respondents make conditional on the given usage context, which allows us to examine the influence of product design, customer profile, usage context attributes, and their interactions, on the choice process. Methods of data analysis are used to understand the collected choice data, as well as to understand clusters of similar customers and similar usage contexts. The choice modeling framework, which considers the influence of usage context on both the product performance, choice set and the consumer preferences, is presented as the key element of a quantitative usage context-based design process. In this framework, product performance is modeled as a function of both the product design and the usage context. Additionally, usage context enters into an individual customer’s utility function directly to capture its influence on product preferences. The entire process is illustrated with a case study of the design of a jigsaw.

The opportunity model of organizational commitment

2017 ◽  
Vol 38 (2) ◽  
pp. 259-273 ◽  
Author(s):  
Elif Cicekli ◽  
Hayat Kabasakal
Keyword(s):  
Organizational Commitment ◽  
Social Exchange ◽  
Social Exchange Theory ◽  
Exchange Theory ◽  
Multiple Sources ◽  
Content Type ◽  
Job Opportunities ◽  
Using Data ◽  
The Relationship ◽  
Practical Implications

Purpose The purpose of this paper is to determine the relationships between promotion, development, and recognition opportunities at work and organizational commitment, and whether these relationships are moderated by the job opportunities employees have in other organizations. Design/methodology/approach An opportunity model of organizational commitment is developed based on social exchange theory and several streams of opportunity research. Factor analyses and hierarchical multiple regression analyses are carried out to test the hypotheses using data from 550 white-collar employees. Findings The results of the analyses show that opportunities for development and recognition are predictors of organizational commitment, that job opportunities employees have in other organizations negatively moderate the relationship between recognition opportunity at work and organizational commitment, and that promotion opportunity does not predict organizational commitment. Research limitations/implications Future researchers could study the issue in the context of other cultures using data from multiple sources. Practical implications Employers who seek to increase their employees’ organizational commitment are advised to divert their energies from struggling to create promotion opportunities for their employees to creating opportunities for development and recognition. Originality/value The study explores the under-researched concept of opportunity at work and connects several streams of opportunity research by drawing on social exchange theory as a theoretical framework. The model is the first to address the effects of opportunity and alternative opportunities on organizational commitment.

scholarly journals Choice Modeling for Usage Context-Based Design

2012 ◽  
Vol 134 (3) ◽  
Author(s):  
Lin He ◽  
Wei Chen ◽  
Christopher Hoyle ◽  
Bernard Yannou
Keyword(s):  
Hybrid Electric Vehicle ◽  
Consumer Preferences ◽  
Stated Preference ◽  
Revealed Preference ◽  
Choice Modeling ◽  
Modeling Framework ◽  
Preference Data ◽  
Design Paradigm ◽  
Usage Context ◽  
The Impact

Usage context-based design (UCBD) is an emerging design paradigm where usage context is considered as a critical part of driving factors behind customers’ choices. Here, usage context is defined as all aspects describing the context of product use that vary under different use conditions and affect product performance and/or consumer preferences for the product attributes. In this paper, we propose a choice modeling framework for UCBD to quantify the impact of usage context on customer choices. We start with defining a taxonomy for UCBD. By explicitly modeling usage context’s influence on both product performances and customer preferences, a step-by-step choice modeling procedure is proposed to support UCBD. Two case studies, a jigsaw example with stated preference data and a hybrid electric vehicle example with revealed preference data, demonstrate the needs and benefits of incorporating usage context in choice modeling.

scholarly journals RELACIÓN ENTRE LOS VIRUS INFORMATICOS (MALWARE) Y ATAQUES EN PAISES VULNERABLES DE SEGURIDAD EN INFORMATICA UTILIZANDO ANÁLISIS DE COMPONENTES PRINCIPALES (ACP)

LOGOS ◽  
2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Alain Donuhue Dongo Quintana
Keyword(s):  
Principal Component Analysis ◽  
Principal Component ◽  
Free Software ◽  
Computer Viruses ◽  
Data Mining Tool ◽  
Mining Tool ◽  
Using Data ◽  
Relationship Of ◽  
The Relationship ◽  
Sobre Todo

 RESUMEN: Utilizando información de Karpesky Lab el presente artículo se observa que a través de Análisis de Componentes Principales (ACP) existe una la relación de ciertos virus informáticos sobre todo los malware en los países más vulnerables en seguridad de informática, donde se arroja como resultados que el país Argelia es el más atacado por virus troyanos, mientras que los países como Ucrania y Uzbekistán son más propensos a infectarse con virus a través de internet, se nota también que Corea del Sur como China son más atacados por los virus con intentos de infección, finalmente Bielorrusia es el país donde a través de sus PC´s tienen demasiado riesgo a contagiarse de virus. Para este análisis se ha utilizado para el cálculo el software libre R Statistics, así como también el Rattle como una herramienta de Minería de Datos. ABSTRACT Using data from Kaspersky Lab this article notes that through Principal Component Analysis (PCA ) there is the relationship of certain computer viruses especially malware in the most vulnerable countries where it is observed that the country Algeria is the most attacked by Trojan viruses , while countries like Ukraine and Uzbekistan are more likely to become infected with the virus through internet , it also notes that South Korea and China are attacked by the virus infection attempts , Bielorusia is the last country where through their PCs have too much risk of catching viruses. For this analysis was used to calculate the free software R Statistics and Rattle as a data mining tool

scholarly journals Hybrid Electric Vehicle Characteristics Change Analysis Using Mileage Interval Data

2020 ◽  
Vol 10 (16) ◽  
pp. 5533
Author(s):  
Jiyoung Woo ◽  
Inbeom Yang ◽  
Chongun Pyon
Keyword(s):  
Electric Vehicle ◽  
Hybrid Electric Vehicle ◽  
Interval Data ◽  
Statistical Properties ◽  
Change Analysis ◽  
Hybrid Electric ◽  
Significant Change ◽  
The Relationship

In this work, the relationship between the accumulated mileage of a hybrid electric vehicle (HEV) and the data provided from vehicle parts has been analyzed. Data were collected while traveling over 70,000 km in various paths. The collected data were aggregated for 10 min and characterized in terms of centrality and variability. It has been examined whether the statistical properties of vehicle parts are different for each cumulative mileage interval. When the cumulative mileage interval is categorized into 30,000–50,000, 50,000–60,000, and 60,000–70,000, the statistical properties contributed in classifying the mileage interval with accuracy of 92.68%, 82.58%, and 80.65%, respectively. This indicates that if the data of the vehicle parts are collected by operating the HEV for 10 min, the cumulative mileage interval of the vehicle can be estimated. This makes it possible to detect abnormality or characteristics change in the vehicle parts relative to the accumulated mileage. It also can be used to detect abnormal aging of vehicle parts and to inform maintenance necessity. Furthermore, a part or module that has a significant change in characteristics according to the mileage interval has been identified.

Walmart and Values: Painting the Town Red?

2009 ◽  
Vol 11 (2) ◽  
pp. 1-16 ◽  
Author(s):  
Art Carden ◽  
Charles Courtemanche ◽  
Jeremy Meiners
Keyword(s):  
Public Debate ◽  
Multiple Sources ◽  
Social Effect ◽  
The Social ◽  
Recent Debate ◽  
Using Data ◽  
The Relationship ◽  
The Town

This essay explores the relationship between commerce and culture in the context of the recent debate over the social effect of Wal-Mart. In spite of much public debate, little is known about how Wal-Mart affects values. Using data collected from multiple sources, we show there is little evidence that Wal-Mart makes communities more conservative or more progressive.

Characterizing Plug-In Hybrid Electric Vehicle Consumers Most Influenced by California’s Electric Vehicle Rebate

2017 ◽  
Vol 2628 (1) ◽  
pp. 23-31 ◽  
Author(s):  
Clair Johnson ◽  
Brett Williams
Keyword(s):  
Electric Vehicle ◽  
Electric Vehicles ◽  
Hybrid Electric Vehicle ◽  
Hybrid Electric Vehicles ◽  
Positive Association ◽  
Interest Level ◽  
Consumer Perspective ◽  
Hybrid Electric ◽  
The Relationship ◽  
Lower Household Income

California’s Clean Vehicle Rebate Project (CVRP) provides cash rebates to make plug-in and fuel-cell electric vehicle purchases and leases more financially attractive. Self-reported evidence provided by CVRP participants provides a unique opportunity to examine the influence of the incentive from the consumer perspective. With evidence from a voluntary survey offered to all individual CVRP participants, this inquiry used logistic regression to examine the relationship between consumer factors and the influence of CVRP on consumers’ acquisition decisions. In other words, would they have purchased their vehicle without the rebate? This initial analysis examined a set of consumers who adopted plug-in hybrid electric vehicles between fall 2012 and spring 2015 ( n = 7,345). Factors considered for inclusion encompassed transaction, household, and demographic characteristics, motivations for adopting plug-in hybrid electric vehicles, and measures of experience with plug-in electric vehicles (PEVs). Findings indicated, as expected, that several characteristics and experiences are associated with a greater likelihood that a consumer would consider the rebate essential. These characteristics and experiences include having lower household income, being younger, adopting less-expensive vehicles, being more motivated to adopt a PEV by a desire to save money, being less motivated to adopt a PEV by a desire to reduce environmental impact, and reporting a lower initial interest level in adopting a PEV. Less straightforward, but informative, results included a positive association between rebate influence and identification with a nonwhite ethnicity or as male. Additionally, the lack of significance of some predictors was unexpected; in particular, no housing characteristics were associated with the influence of the rebate.

Experimental Validation of a Model for Control of Drivability in a Hybrid-Electric Vehicle

2007 ◽  
Author(s):  
Kerem Koprubasi ◽  
Eric R. Westervelt ◽  
Giorgio Rizzoni ◽  
Enrico Galvagno ◽  
Mauro Velardocchia
Keyword(s):  
Electric Vehicle ◽  
Hybrid Electric Vehicle ◽  
Control Strategies ◽  
Critical Conditions ◽  
Test Vehicle ◽  
Operating Modes ◽  
Power Split ◽  
Hybrid Electric ◽  
Using Data ◽  
Development And Validation

This paper describes the development and validation of a control-oriented drivability model for a power-split hybrid-electric vehicle (HEV). The HEV model is capable of identifying drivability issues under critical conditions such as pedal tip-in tip-out, change of operating modes, and gear shifting. The model is useful for the design, improvement and calibration of control strategies. The model is implemented in Simulink® and is validated using data collected from a test vehicle.

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