The Role of Behavioral Economics and Social Nudges in Sustainable Travel Behavior

2017 ◽  
Author(s):  
William Riggs
Keyword(s):  
Behavioral Economics ◽  
Travel Behavior

The Life Cycle Model of Cyber-economics

2020 ◽  
Vol 8 (12) ◽  
pp. 63-72
Author(s):  
Srinivas Nowduri
Keyword(s):  
Economic Growth ◽  
Life Cycle ◽  
Behavioral Economics ◽  
Research Work ◽  
Life Cycle Model ◽  
Cycle Model ◽  
Business World ◽  
Exponential Increase ◽  
Financial Metrics

The exponential increase in modern technological advancements within the business world, is impacting every national economy from different directions/perspectives. This research work focuses on main issues behind cyber economics along with cyber-economic values; based on cyber events and their associated financial damages. It also made a comparative study between cyber and financial metrics, based on a professional look at cybersecurity in modern digital firms. Then it emphasizes on the role of applied and behavioral economics, in digital forms. Finally propose a model for cyber economic growth vital for modern digital firms

Role of Income on Travel Behavior in Polluted Air

2021 ◽  
Author(s):  
Suji Kim ◽  
Yekang Ko ◽  
Kitae Jang
Keyword(s):  
Travel Behavior

Role of Urban Big Data in Travel Behavior Research

2020 ◽  
pp. 036119812097502
Author(s):  
Chihuangji Wang ◽  
Daniel Baldwin Hess
Keyword(s):  
Big Data ◽  
Survey Data ◽  
Travel Behavior ◽  
Data Science ◽  
Location Based Service ◽  
Labor Costs ◽  
Public And Private ◽  
Public And Private Sector ◽  
Data Analytic

Understanding urban travel behavior (TB) is critical for advancing urban transportation planning practice and scholarship; however, traditional survey data is expensive (because of labor costs) and error-prone. With advances in data collection techniques and data analytic approaches, urban big data (UBD) is currently generated at an unprecedented scale in relation to volume, variety, and speed, producing new possibilities for applying UBD for TB research. A review of more than 50 scholarly articles confirms the remarkable and expanding role of UBD in TB research and its advantages over traditional survey data. Using this body of published work, a typology is developed of four key types of UBD—social media, GPS log, mobile phone/location-based service, and smart card—focusing on the features and applications of each type in the context of TB research. This paper discusses in significant detail the opportunities and challenges in the use of UBD from three perspectives: conceptual, methodological, and political. The paper concludes with recommendations for researchers to develop data science knowledge and programming skills for analysis of UBD, for public and private sector agencies to cooperate on the collection and sharing of UBD, and for legislators to enforce data security and confidentiality. UBD offers both researchers and practitioners opportunities to capture urban phenomena and deepen knowledge about the TB of individuals.

scholarly journals The Role of Destination’s Built Environment on Nonmotorized Travel Behavior: A Case of Long Beach, California

2017 ◽  
Vol 38 (2) ◽  
pp. 152-166 ◽  
Author(s):  
Dohyung Kim ◽  
Jiyoung Park ◽  
Andy Hong
Keyword(s):  
Built Environment ◽  
Travel Behavior ◽  
Mode Choice ◽  
Long Beach ◽  
Environment Factors ◽  
Household Travel Survey ◽  
Future Policy ◽  
Household Travel ◽  
National Household Travel Survey

This study examines how built environment factors at trip destinations influence nonmotorized travel behavior in the City of Long Beach, California. Using 2008–2009 National Household Travel Survey with California Add-Ons, we found that nonmotorized users tend to choose more clustered destinations than motorized users, and that density, diversity, and design at destinations significantly affect mode choice decisions. Transportation networks and nonmotorized facilities at trip destinations are especially important factors for nonmotorized mode choice. Future policy and research need to consider built environment factors at trip destinations to effectively accommodate nonmotorized travel within a city.

scholarly journals Unconscious influences on decision making: A critical review

2014 ◽  
Vol 37 (1) ◽  
pp. 1-19 ◽  
Author(s):  
Ben R. Newell ◽  
David R. Shanks
Keyword(s):  
Decision Making ◽  
Social Behavior ◽  
Behavioral Economics ◽  
Cognitive Neuroscience ◽  
Critical Review ◽  
Explanatory Power ◽  
Future Research ◽  
Wide Range ◽  
Cognitive Unconscious

AbstractTo what extent do we know our own minds when making decisions? Variants of this question have preoccupied researchers in a wide range of domains, from mainstream experimental psychology (cognition, perception, social behavior) to cognitive neuroscience and behavioral economics. A pervasive view places a heavy explanatory burden on an intelligent cognitive unconscious, with many theories assigning causally effective roles to unconscious influences. This article presents a novel framework for evaluating these claims and reviews evidence from three major bodies of research in which unconscious factors have been studied: multiple-cue judgment, deliberation without attention, and decisions under uncertainty. Studies of priming (subliminal and primes-to-behavior) and the role of awareness in movement and perception (e.g., timing of willed actions, blindsight) are also given brief consideration. The review highlights that inadequate procedures for assessing awareness, failures to consider artifactual explanations of “landmark” results, and a tendency to uncritically accept conclusions that fit with our intuitions have all contributed to unconscious influences being ascribed inflated and erroneous explanatory power in theories of decision making. The review concludes by recommending that future research should focus on tasks in which participants' attention is diverted away from the experimenter's hypothesis, rather than the highly reflective tasks that are currently often employed.

Sign in / Sign up

Export Citation Format

Share Document