Traveling Alone or Together? Neighborhood Context on Individual and Group Juvenile and Adult Burglary Decisions

Neighborhood characteristics are important considerations when offenders make targeting decisions. Movement patterns among adults and juveniles vary widely, which impacts both the number of crime opportunities and the range of neighborhoods to which an offender is exposed. We test whether offending patterns among adult and juvenile burglars vary based on distances traveled, the types of neighborhoods targeted, and whether suspects acted alone or in a group. Using discrete choice modeling, we draw upon a unique sample of cleared burglaries in a representative city in the south over a 13-year period. Results show that adult burglars consistently travel further and are more sensitive to neighborhood conditions than their juvenile counterparts, but that group participation makes little difference in target decisions.

Air Passengers’ Preferences for Aviation Voluntary Carbon Offsetting: A Co-benefits Perspective

Co-benefits are positive outcomes from voluntary carbon offsetting (VCO) programs beyond simple reduction in carbon emissions, which include biodiversity, air quality, economic, health, and educational benefits. Given the rates of aviation VCOs remain at less than 10%, this study investigated air passengers’ preferences for co-benefits as well as certification, location, and cost of VCO programs. Using discrete choice modeling, this study shows that aviation VCO programs with higher levels of co-benefits, particularly biodiversity and health benefits, are preferred by air passengers and confirms a preference for domestically based and certified VCO programs. The latent class choice model identified three classes with different preferences for VCO program attributes and demographic characteristics. The results of this study contribute to the knowledge of VCO co-benefits and imply that airlines should take note of this preference for biodiversity and health co-benefits when designing VCO programs and differentiate between market segments to increase the uptake of VCOs.

Examination of Individual Preferences for Green Hotels in Crete

The hospitality sector is experiencing a massive transformation currently. Hotels are currently receiving considerable criticism over their practices concerning energy, environmental, as well as resource management. As a result, managerial practices in the hospitality sector have come under scrutiny. All these developments have given rise to the concept of the ‘smart’ hotel. The smart hotel concept has received considerable attention in the relevant literature in the last few years. However, the majority of this attention has either focused on the technical side (i.e., examining smart hotels from a technological standards perspective), or adopted a rather limited perspective, choosing to focus on specific managerial practices within smart hotels (i.e., environmental management). The current paper aims to address this gap in the literature through the utilization of stated preferences discrete choice modeling methodology. Through this methodology, the paper evaluates tourists’ preferences for a wider range of managerial practices and policies pertaining to smart practices in the hospitality sector. According to the empirical findings, tourists exhibit strong and negative preferences towards the automation of the service delivery process. In addition to that, respondents were very strongly opposed towards hotels without international certification standards for their operations. On the opposite side, tourists expressed very strong and positive preferences towards water management policies (particularly policies aiming to reduce and reuse water resources). Finally, respondents exhibited strong and positive preferences towards different energy-saving technologies within hotels.

Uncovering the influence of commuters’ perception on the reliability ratio

The dominant method for measuring values of travel time savings (VOT), and values of travel time reliability (VOR) is discrete choice modeling. Studies using revealed preference have tended to use travel times measured by devices such as loop detectors, and thus the perception error of travelers has been largely ignored. In this study, the influence of commuters’ perception error is investigated on data collected of commuters recruited from previous research. The subjects’ self-reported travel times from surveys, and the subjects’ travel times measured by GPS devices were collected. The results indicate that the subjects reliability ratio is greater than 1 in the models with self- reported travel times. In contrast, subjects reliability ratio is smaller than 1 in the models with travel times as measured by GPS devices.