Abstract

While the association between problem gambling and alcohol use disorders has been studied previously, little is known about the association between risk gambling and risk drinking. This study aimed at examining the association between at-risk gambling and binge drinking in the general Swedish population and to test whether this association remained after controlling for demographic factors. The data was part of a larger ongoing survey in the general Swedish population. Respondents (N = 19 530) were recruited through random digit dialing and interviewed about their alcohol habits (binge drinking), at-risk gambling (the Lie/Bet questionnaire) and demographics (gender, age, education, residence size, marital status, labor market status, country of origin and smoking). There was an association between lifetime at-risk gambling and current (12 months) weekly binge drinking for both men (OR = 1.73, CI 95%: 1.27–2.35) and women (OR = 2.27, CI 95%: 1.05–4.90). After controlling for demographics this association no longer remained significant (OR = 1.38, CI 95%, .99–1.90 for men and OR = 1.99, CI 95%: .94–4.66 for women). Age and smoking had the largest impact on this association. At-risk gambling and binge drinking are associated behaviors. However, it seems as if this association may be confounded by demographic variables. We hypothesize that similarities in personality profiles and health aspects could account for an additional part of the association.

Abstract

A unique strategic opportunity beckons Bangladesh. Dhaka, the economic powerhouse of the country, stands on the cusp of a dramatic transformation that could make it much more prosperous and livable. Today, Dhaka is prone to flooding, congestion, and messiness, to a point that is clogging its growth. But toward its east, where two major highway corridors will one day intersect, is a vast expanse of largely rural land. And much of it is within 6 kilometers of the most valuable parts of the city. The time to make the most of this eastward opportunity is now. Many parts of East Dhaka are already being developed in a haphazard way at an alarmingly rapid pace. Private developers are buying land and filling it with sand so they can build and sell new houses and apartments. Canals and ponds are disappearing, and the few narrow roads crossing the area are being encroached by construction. This spontaneous development could soon make East Dhaka look like the messy western part of the city, and retrofitting it later will be more difficult and costlier than properly planning and developing it now. Toward Great Dhaka: A New Urban Development Paradigm Eastward seeks to analyze how the opportunity of East Dhaka could be realized. Using state-of-the-art modeling techniques, the study simulates population, housing, economic activity, and commuting times across the 266 unions that constitute Greater Dhaka. It does so under various scenarios for the development of East Dhaka, but always assessing the implications for the entire city. The simulations suggest that pursuing a strategic approach to the development of East Dhaka would make Greater Dhaka a much more productive and livable city than continuing with business as usual. Based on current trends, Greater Dhaka would have a population of 25 million in 2035 and an income per capita of US$8,000 at 2015 prices. However, embracing a strategic approach would add 5 million people to the city. And, it would be a more productive city, with nearly 1.8 million more jobs and an income per capita of more than US$9,200 at 2015 prices, enough to put Dhaka on the map of global cities. Document type: Book

Abstract

This chapter examines the characteristics and practices of ridesharing users in France. In May 2013, the authors surveyed members of BlaBlaCar, the largest online and app-based carpooling service in France, to analyze the sociodemographic characteristics and usage patterns of the respondents. The survey results identify correlations between socio-demographic characteristics and usage elements. Notably, users with a lower income level are more inclined to be passengers, while higher income users employ carpooling mainly as drivers. Students are shown to be more frequent users as well. These findings indicate some equity balancing effects, which may be unique to this shared mobility mode.