Analysis on effect of EV car sharing of one-way service on the public attitude and travel behavior

2013 ◽  
Vol 48 (3) ◽  
pp. 465-470
Author(s):  
akira ANDO ◽  
toshiyuki YAMAMOTO ◽  
takayuki MORIKAWA
Keyword(s):  
Travel Behavior ◽  
Public Attitude ◽  
Car Sharing ◽  
The Public

scholarly journals TAXATION AND THE PUBLIC ATTITUDE

1924 ◽  
Vol 9 (7) ◽  
pp. 199-204
Author(s):  
Paul Edward Moyer
Keyword(s):  
Public Attitude ◽  
The Public

Public Attitude Towards e-Governance Practices in Developing Societies: A Case Study of SUWIDHA Project in Punjab

2020 ◽  
Vol 66 (3) ◽  
pp. 356-370
Author(s):  
Harpreet Singh ◽  
Renu Kapila
Keyword(s):  
Computer Literacy ◽  
Effective Means ◽  
Public Attitude ◽  
Type I ◽  
The Public ◽  
Popular Medium ◽  
Governance Practices ◽  
Developing Societies ◽  
Governance Infrastructure

E-governance practices are going through a transitional phase in developing societies like India. However, several impediments restrict them from becoming an effective means of interaction between government and citizens. The present study is an attempt to comprehend the citizens’ attitude and their level of readiness to accept the e-governance practices in online service delivery in the state of Punjab in India. It is based on the field survey of various SUWIDHA Kendras (now called Sewa Kendras Type I) in Punjab, where a sample of 240 users was covered with the help of interview schedule and observations. One district from each of the three regions of Punjab was selected randomly: Tarn Taran of Majha, Sangrur of Malwa and Hoshiarpur of Doaba. The results of this study show that the usage of e-governance practices as a popular medium is seriously limited by the public attitude. The main reasons are deficient e-governance infrastructure and apathetic public due to lack of computer literacy/e-readiness. The study establishes that, in order to implement e-governance successfully, not only a developed infrastructure but also behavioural changes in citizenry are required in developing societies.

Legal framework for religious activity in post-Soviet Kazakhstan: from liberal to prohibitive approaches

2020 ◽  
Vol 9 (1) ◽  
pp. 105-131
Author(s):  
Roman Podoprigora
Keyword(s):  
Law Enforcement ◽  
Political System ◽  
Government Regulation ◽  
Legal Framework ◽  
Public Attitude ◽  
Social Consequences ◽  
Religious Activity ◽  
The Public ◽  
Religious Associations ◽  
The Government

Abstract Religious activity is a very sensitive area of government regulation in Kazakhstan. After some post-soviet years of liberalization, the government has decided to return to soviet-style relations with a large amount of attention on the control and supervision of religious areas. The Law ‘On Religious Activity and Religious Associations’ adopted in 2011 was the result of such a decision. This article analyses the legal framework for religious activity, the model of relations between state and religious associations in modern Kazakhstan, the public attitude towards regulation in the religious field, the legal and social consequences of the adoption of current law, as well as the problems of its implementation and the government’s administration of religious activity in Kazakhstan. The author reaches the conclusion that more liberal legislation and law-enforcement practice is unlikely without changes in the political system, the public attitude towards religion and views on secularity.

scholarly journals THE PUBLIC ATTITUDE TOWARDS CONSUMPTIVES.

The Lancet ◽  
1907 ◽  
Vol 169 (4373) ◽  
pp. 1736-1737
Author(s):  
H.Charlton Bastian
Keyword(s):  
Public Attitude ◽  
The Public

Renewable energy applications in Greece—What is the public attitude?

Energy Policy ◽  
2012 ◽  
Vol 42 ◽  
pp. 37-48 ◽  
Author(s):  
J.K. Kaldellis ◽  
M. Kapsali ◽  
Ev. Katsanou
Keyword(s):  
Renewable Energy ◽  
Public Attitude ◽  
The Public ◽  
Energy Applications

scholarly journals Contributing factors for the underutilization of mobility stations: the case of the "wien mobil station" in vienna

2021 ◽  
Vol 7 ◽  
Author(s):  
Luiza Maciel Costa da Silva ◽  
Julius Uhlmann
Keyword(s):  
Literature Review ◽  
Research Question ◽  
Observational Research ◽  
Expert Interviews ◽  
Urban Mobility ◽  
Contributing Factors ◽  
Car Sharing ◽  
The Public ◽  
Educational Campaigns

Purpose: Mobility stations are locations in which various mobility options are offered enabling multimodality and intermodality. In Vienna, three public mobility stations were implemented as part of the project “Wien Mobil”. After observing the existing mobility stations and talking to different experts, the system was diagnosed as underutilized. Consequently, this paper aims to point out the reasons why the public mobility stations in Vienna have so far not attracted as many users as expected. Methodology/Approach: The research question is answered with the support of explorative expert interviews, observational research and literature review. Findings: The identified contributing factors for the underutilization of the mobility stations in Vienna are location, weather, lack of interoperability, low affordability, lack of reliability, and lack of publicity and educational campaigns. Research Limitation/implication: The research lacks the perspective and data from the car sharing provider. Moreover, it was conducted during winter, which certainly increased the perception of an underutilized system. Originality/Value of paper: This work is expected to contribute to urban mobility planning by identifying and reaffirming important factors to take into account when planning, implementing and operating mobility stations and by providing a thorough understanding of the reasons for the underutilization of mobility stations.

scholarly journals A Pilot Study on the Satisfaction of Long-Term Care Services in Taiwan

2021 ◽  
Vol 19 (1) ◽  
pp. 90
Author(s):  
Amy H. I. Lee ◽  
He-Yau Kang ◽  
Yu-Ai Liu
Keyword(s):  
Factor Analysis ◽  
Long Term Care ◽  
Family Members ◽  
The Elderly ◽  
Public Attitude ◽  
Equation Modeling ◽  
Term Care ◽  
The Public ◽  
Care Services

For many developed countries and regions, long-term care is becoming an important issue due to demographic changes and an increasing willingness and need of family members to let the elderly be taken care of by non-family members. Thus, effectively managing long-term care needs has become a major societal concern. In this paper, the public attitude towards long-term care and the satisfaction of long-term care services in Taiwan are examined. First, internal consistency reliability, exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) are applied to delete unimportant indicators. Second, structural equation modeling (SEM) is used to determine which indicators have a statistically significant influence on the public attitude toward long-term care and on the satisfaction of long-term care services. Third, artificial neural network (ANN) is applied to understand the relative importance of the indicators in influencing the public attitude and satisfaction of long-term care services. The contribution of this study is significant because some of the factors investigated in the study should be stressed by the government or institutions to provide more satisfactory services to the elderly and their families.

scholarly journals Identifying Protective Health Behaviors on Twitter: Observational Study of Travel Advisories and Zika Virus (Preprint)

2018 ◽  
Author(s):  
Ashlynn R Daughton ◽  
Michael J Paul
Keyword(s):  
Zika Virus ◽  
Travel Behavior ◽  
English Language ◽  
Disease Modeling ◽  
Control Sample ◽  
Emerging Infectious Diseases ◽  
The United States ◽  
The Public ◽  
Machine Learning Classification ◽  
Twitter Users

BACKGROUND An estimated 3.9 billion individuals live in a location endemic for common mosquito-borne diseases. The emergence of Zika virus in South America in 2015 marked the largest known Zika outbreak and caused hundreds of thousands of infections. Internet data have shown promise in identifying human behaviors relevant for tracking and understanding other diseases. OBJECTIVE Using Twitter posts regarding the 2015-16 Zika virus outbreak, we sought to identify and describe considerations and self-disclosures of a specific behavior change relevant to the spread of disease—travel cancellation. If this type of behavior is identifiable in Twitter, this approach may provide an additional source of data for disease modeling. METHODS We combined keyword filtering and machine learning classification to identify first-person reactions to Zika in 29,386 English-language tweets in the context of travel, including considerations and reports of travel cancellation. We further explored demographic, network, and linguistic characteristics of users who change their behavior compared with control groups. RESULTS We found differences in the demographics, social networks, and linguistic patterns of 1567 individuals identified as changing or considering changing travel behavior in response to Zika as compared with a control sample of Twitter users. We found significant differences between geographic areas in the United States, significantly more discussion by women than men, and some evidence of differences in levels of exposure to Zika-related information. CONCLUSIONS Our findings have implications for informing the ways in which public health organizations communicate with the public on social media, and the findings contribute to our understanding of the ways in which the public perceives and acts on risks of emerging infectious diseases.

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