Activity patterns,socioeconomic status and urban spatial structure: what can social media data tell us?

ABSTRACT

Individual activity patterns are influenced by a wide variety of factors. The more important ones include socioeconomic status (SES) and urban spatial structure. While most previous studies relied heavily on the expensive travel-diary type data, the feasibility of using social media data to support activity pattern analysis has not been evaluated. Despite the various appealing aspects of social media data, including low acquisition cost and relatively wide geographical and international coverage, these data also have many limitations, including the lack of background information of users, such as home locations and SES. A major objective of this study is to explore the extent that Twitter data can be used to support activity pattern analysis. We introduce an approach to determine users’ home and work locations in order to examine the activity patterns of individuals. To infer the SES of individuals, we incorporate the American Community Survey (ACS) data. Using Twitter data for Washington, DC, we analyzed the activity patterns of Twitter users with different SESs. The study clearly demonstrates that while SES is highly important, the urban spatial structure, particularly where jobs are mainly found and the geographical layout of the region, plays a critical role in affecting the variation in activity patterns between users from different communities.     

‘Rising Waters Don't Lift All Boats’: a sustainable livelihood analysis of recursive cycles of vulnerability and maladaptation to flood risk in rural Bihar,India

ABSTRACT

Bihar, in the central Gangetic Basin, is simultaneously India's poorest and most flood-prone State. Climate change models currently identify a heightening of Bihar's flood risk, as rainfall patterns become more intense and Himalayan glaciers recede. During the past half century, the major strategy deployed by the State and national governments to address the risk of floods has involved the construction of embankments: raised areas of land that seek to control river flow and provide temporary sanctuaries for flood-affected populations. In this article, qualitative data from interviews with flood-affected villagers and policy makers at local, district and State levels are used to assess the social implications of embankments as an adaptive response to flood risk. Evidence from these testimonies leads us to conceptualise embankments as contributing to recursive cycles of vulnerability, in which women, children and poorer social segments have been unwitting bearers. Hence, reliance on embankments is a maladaptation that perpetuates, if not exacerbates, the severe manifestations of social and economic inequality that continue to plague rural Bihar. Perhaps not surprisingly, the voices of those whose lives have been made more difficult by embankments are heard all too infrequently in policy debates. This emphasises the need for climate adaptation initiatives to be anchored in a sustainable livelihood approach, for which the prime analytical objective is to understand the factors that enable or constrain the abilities of people, especially those who are most vulnerable, to make decisions about their lives.