Opportunities to reduce road traffic injury: new insights from the study of urban areas

Abstract

Over the past four decades considerable efforts have been taken to mitigate the growing burden of road injury. With increasing urbanisation along with global mobility that demands not only safe but equitable, efficient and clean (reduced carbon footprint) transport, the responses to dealing with the burgeoning road traffic injury in low- and middle-income countries has become increasingly complex. In this paper, we apply unique methods to identify important strategies that could be implemented to reduce road traffic injury in the Asia-Pacific region; a region comprising large middle-income countries (China and India) that are currently in the throes of rapid motorisation. Using a convolutional neural network approach, we clustered countries containing a total of 1632 cities from around the world into groups based on urban characteristics related to road and public transport infrastructure. We then analysed 20 countries (containing 689 cities) from the Asia-Pacific region and assessed the global burden of disease attributed to road traffic injury and these various urban characteristics. This study demonstrates the utility of employing image recognition methods to discover new insights that afford urban and transport planning opportunities to mitigate road traffic injury at a regional and global scale.     

Opportunities and Challenges in Engaging Citizens in the Co-Production of Infrastructure-Based Public Services in Australia

Research and practice have observed a shift towards service-oriented approaches that depend on input from citizens as co-producers of services. Yet in the delivery of public infrastructure the focus is still on managing assets rather than services. Using a Policy Delphi approach, we found that although experts advocate service-centric approaches guidelines and policies lack a service-centric perspective. Findings revealed a range of impediments to effective stakeholder involvement. The paper contributes to co-production and new public governance literature and offers directions for public infrastructure decision-makers to support and reconnect disengaged government–citizen relations, and determine ways of understanding optimal service outcomes.     

Predicting Commercial Mortgage Foreclosure Experience

This study has two objectives: (1) it directly evaluates the relationship between commercial mortgage default incidence and characteristics of the mortgage, borrower, property, market, and general economic conditions, and (2) it uses this relationship to predict the exposure of life insurers to future mortgage defaults and to examine the relative importance of various causes of current and past credit quality problems. A theoretical model of the default decision predicts that the decision would be expected to be driven primarily by the borrower's current equity stake in the property, or the ratio of the market value of the loan to property value (M_t/V_t), but that the presence and magnitude of transaction costs associated with default would be expected to result in underexercise of the default option. Empirical estimation making use of American Council of Life Insurance (ACLI) and National Council of Real Estate Investment Fiduciaries (NCREIF) data confirms both expectations. A high proportion of the longitudinal variation in foreclosure incidence is explained by variations in M_t/V_t, but even at high ratios M_t/V_t in excess of 1.1. only 5% to 8% of mortgagors default, although this magnitude of underexercise is probably overstated because of problems in measuring M^t and for other reasons. Simulations using the model provide a pessimistic outlook for future defaults. Default rates are predicted to double in the five-year period 1988–93. Other simulations examine the relative importance of interest rate fluctuations, property value declines, and geographic or temporal correlations in lending during the 1976–88 period on current default experience.     

Coveted or Overlooked? The Psychology of Bidding for Comparable Listings in Digital Auctions

This article elaborates on, and provides evidence of the herd behavior bias -- the tendency to gravitate toward, and bid for, auction listings with one or more existing bids, ignoring comparable or even more attractive unbid-for listings available at the same time -- exhibited by buyers in digital auctions. Some listings attract many bidders and become coveted, the center of bidding attention, while other equivalent or even superior listings are overlooked, receiving no bids at all. Empirical analysis using data from digital auctions across different product categories shows that this herd behavior bias is attenuated with increasing bid price, but increases with the difficulty of evaluating quality. The practical implications of these findings, and promising research opportunities in this area are also discussed.     

Monitoring and Controlling Mastitis on Ontario Dairy Farms

The frequency of use and the marginal costs and marginal value products of mastitis control practices on somatic cell count (SCC) and milk yield are investigated. A survey of current management practices is combined with Dairy Herd Improvement production information to determine the relationships between milk yield, SCC, management practices, and production and producer characteristics under field conditions. The relationships are modeled and compared at the cow and herd level. A moment-generating approach is used in the herd model to determine which, if any, practices are risk reducing. The SCC for an individual cow is a better indicator of milk production lost due to mastitis than is a bulk tank SCC. Most recommended mastitis control practices are estimated to be economically beneficial, but some common practices are found not to be economical, and questions are raised about dry cow treatment. On a examiné la fréquence à laquelle on recourt aux pratiques de lutte contre la mammite, de même que les couts et les avantages marginaux de ces dernières en ce qui concerne la numération des cellues somatiques et le rendement laitier. On a combiné une enquête sur les pratiques zootechniques actuelles aux renseignements sur la production extraits du Programme d'amélioration des troupeaux laitiers en vue de déterminer les relations qui existent entre le rendement laitier, la numération des cellules somatiques, la conduite du troupeau ainsi que les caractéristiques associées à la production et aux producteurs, sur le terrain. On a ensuite modélisé ces relations et on les a compareées entre les animaux et les troupeaux. Pour le modèle touchant les troupeaux, on s'est servi d'une approche générant des moments, pour déterminer si une pratique quelconque diminuait les risques. La numération des cellules somatiques chez la vache est un meilleur indicateur du volume de lait perdu à la suite de la mammite que la numération des cellules somatiques dans la citerne. La plupart des méthodes de lutte contre la mammite recommendées offrent un avantage économique, mais certaines pratiques courantes ont l'effet contraire et on s'interroge sur l'utilité de traiter les vaches taries.     

Multivariate analysis: Theory and practice

This paper reviews the problem of analyzing and estimating linear multivariate relationships. A convenient taxonomic framework is established for discussing a variety of multivariate procedures.