Search results

Global issues on the environment, such as climate change, air pollution and carbon monoxide emission, are the primary concerns in any part of the world. The purpose of this paper is to construct a conceptual framework for the travel behavior performance of a commuter, and it is expected to mitigate air pollution from vehicle emission and to promote smart mobility on the road.

From the extensive literature review, the conceptual framework for the travel behavior performance of a commuter has been developed and is supported by the theory of interpersonal behavior (TIB), whose functions are attitude, social factor, affect and habit. In the present paper, attitude is conceptualized by four predictors, namely confidence in driving, green environment, social responsibility and deviation in driving. The social factor is characterized by subjective norms, social status and digitalization. Affect factor is conceptualized by accidents and damages, road infrastructure, and weather conditions. The mental block in following the ancestor’s way of owning a personal vehicle is the predictor for the habit.

One of the major contributors to environmental damages is road traffic. Notably, vehicle emissions are on the rise every year due to the increase of reliance on vehicles, and there is no alternative to this issue. Although Malaysia has a well-organized infrastructure with effective digitalized technology on the road for the transport system, there is severe traffic congestion in Klang Valley, Kuala Lumpur, because of a lack of travel plan behavior during peak hours. If the road commuters give the predictors constructed in the proposed conceptual framework the highest importance, then there will be much relief to traffic congestion on the road.

Since the present study focuses on the conceptualization of an urban travel behavior model (UTBM), and also highlights the synchronization of the proposed framework with the management theory, the results are expected after the primary survey based on the cross-sectional study will be conducted.

The identification of the suitable predictors for the UTBM toward the travel behavior performance of a commuter is the real novelty of the present study. Also, the cause and effect relationships of different predictors in terms of path directions of the proposed research framework are the highlights of the study. Further, the predictors in the proposed framework and the TIB have been synchronized with operational definitions, which are the original contributions of the present study, which will enhance the sustainable environmental development for the society as a whole.

The purpose of this paper is to investigate electronic benefits transfer (EBT) card reforms in California’s Food Stamp Program, and its impact on food insecurity.

The authors test the hypothesis that EBT cards reduce food insecurity by reducing the food costs associated with loss and theft of benefits, as well as by decreasing fraudulent sales of benefits. The authors use a natural experiment in the form of the time-varying roll-out of EBT card reforms across California counties in conjunction with the California Health Interview Survey, to conduct an event study.

The findings suggest no evidence for a decrease in food insecurity. The authors do, however, find evidence of a transitory increase in food insecurity immediately following implementation of EBT reforms. Reforms increase the likelihood of food insecurity by about 3 percent for up to two months. The result is distinguishable from zero, and robust to changes in specification, inclusion of controls, and measurement choices. The authors posit the increase was due to frictions in the transition to EBT card systems.

Although a considerable literature with regard to the FSP exists, very little has been written investigating a specific linkage between EBT cards and food security. The findings are not supportive of policy makers’ hypothesis that a positive externality of EBT benefits delivery is a lasting reduction in food insecurity.