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This report details the technical findings from a national survey of Italian perspectives on climate change. The survey of 2168 Italians examined their climate change concern, knowledge, issue importance, policy attitudes, personal action, media consumption, trusted information sources, and personal values. The report was undertaken to build a baseline understanding of the Italian public as audiences for information relating to climate change, to guide the design of communicationn interventions to support action on climate change.

This survey aims to gauge Malaysia’s public perception and understanding on climate change and climate change impacts, alongside understanding the Malaysian audience's behavioural responses towards issues involving climate change. This survey also tries to understand the audiences’ media preference and trust to find out how information regarding climate change issues can be communicated more easily and effectively. This project follows a similar approach to that undertaken by various researchers for tracking community attitudes to inform policymakers of trends on issues relating to climate change. The survey provides strong national and regional level snapshots relevant to a range of policy areas and establishes a baseline for comparison of community attitudes to climate change over time.

This report is a companion to the technical report, and details the key findings from a national survey of Italian perspectives on climate change. The survey of 2168 Italians examined their climate change concern, knowledge, issue importance, policy attitudes, personal action, media consumption, trusted information sources, and personal values. The report was undertaken to build a baseline understanding of the Italian public as audiences for information relating to climate change, to guide the design of communicationn interventions to support action on climate change.

This project contains supplementary information to a paper submitted to the Journal of Social Issues special issue on the psychology of sustainable consumption

Supplemental material, sj-docx-1-pus-10.1177_09636625221138494 for Audience segmentation analysis of public intentions to get a COVID-19 vaccine in Australia by Jagadish Thaker, Lucy M. Richardson and David C. Holmes in Public Understanding of Science

IMPORTANCE Social determinants are important risk factors for the development of first-episode psychosis (FEP); their effects in rural areas are largely unknown. OBJECTIVE To investigate neighborhood-level factors associated with FEP in a large, predominantly rural population-based cohort. DESIGN, SETTING, AND PARTICIPANTS This study extracted data on referrals for treatment of potential FEP at 6 Early-Intervention Psychosis services from the Social Epidemiology of Psychoses in East Anglia naturalistic cohort study data set, which covered a population of more than 2 million people in a rural area in the East of England for a period of 3.5 years. All individuals aged 16 to 35 years who presented to Early-Intervention Psychosis services and met diagnostic criteria for first episodes of nonaffective psychoses and affective psychoses (International Statistical Classification of Diseases and Related Health Problems, Tenth Revision diagnostic codes F20-33) were included (n = 631). Persons whose disorders had an organic basis (diagnostic codes F06.X) and those meeting the criteria for substance-induced psychosis (diagnostic codes F1X.5) were excluded. We derived 4 neighborhood-level exposures from a routine population data set using exploratory factor analysis (racial/ethnic diversity, deprivation, urbanicity, and social isolation) and investigated intragroup racial/ethnic density and fragmentation. MAIN OUTCOMES AND MEASURES Multilevel Poisson regression was performed to determine associations between incidence rates and neighborhood-level factors, after adjustment for individual factors. Results were reported as incidence rate ratios (IRRs). RESULTS The study included 631 participants who met criteria for FEP and whose median age at first contact was 23.8 years (interquartile range, 19.6-27.6 years); 416 of 631 (65.9%) were male. Crude incidence of FEP was calculated as 31.2 per 100 000 person-years (95% CI, 28.9-33.7). Incidence varied significantly between neighborhoods after adjustment for age, sex, race/ethnicity, and socioeconomic status. For nonaffective psychoses, incidence was higher in neighborhoods that were more economically deprived (IRR, 1.13; 95% CI, 1.06-1.20) and socially isolated (IRR, 1.11; 95% CI, 1.04-1.19). It was lower in more racially/ethnically diverse neighborhoods (IRR, 0.94; 95% CI, 0.87-1.00). Higher intragroup racial/ethnic density (IRR, 0.97; 95% CI, 0.94-1.00) and lower intragroup racial/ethnic fragmentation (IRR, 0.98; 95% CI, 0.96-1.00) were associated with a reduced risk of affective psychosis. CONCLUSIONS AND RELEVANCE Spatial variation in the incidence of nonaffective and affective psychotic disorders exists in rural areas. This suggests that the social environment contributes to psychosis risk across the rural-urban gradient.

IMPORTANCE: Social determinants are important risk factors for the development of first-episode psychosis (FEP); their effects in rural areas are largely unknown. OBJECTIVE: To investigate neighborhood-level factors associated with FEP in a large, predominantly rural population-based cohort. DESIGN, SETTING, AND PARTICIPANTS: This study extracted data on referrals for treatment of potential FEP at 6 Early-Intervention Psychosis services from the Social Epidemiology of Psychoses in East Anglia naturalistic cohort study data set, which covered a population of more than 2 million people in a rural area in the East of England for a period of 3.5 years. All individuals aged 16 to 35 years who presented to Early-Intervention Psychosis services and met diagnostic criteria for first episodes of nonaffective psychoses and affective psychoses (International Statistical Classification of Diseases and Related Health Problems, Tenth Revision diagnostic codes F20-33) were included (n = 631). Persons whose disorders had an organic basis (diagnostic codes F06.X) and those meeting the criteria for substance-induced psychosis (diagnostic codes F1X.5) were excluded. We derived 4 neighborhood-level exposures from a routine population data set using exploratory factor analysis (racial/ethnic diversity, deprivation, urbanicity, and social isolation) and investigated intragroup racial/ethnic density and fragmentation. MAIN OUTCOMES AND MEASURES: Multilevel Poisson regression was performed to determine associations between incidence rates and neighborhood-level factors, after adjustment for individual factors. Results were reported as incidence rate ratios (IRRs). RESULTS: The study included 631 participants who met criteria for FEP and whose median age at first contact was 23.8 years (interquartile range, 19.6-27.6 years); 416 of 631 (65.9%) were male. Crude incidence of FEP was calculated as 31.2 per 100 000 person-years (95% CI, 28.9-33.7). Incidence varied significantly between neighborhoods after adjustment for age, sex, race/ethnicity, and socioeconomic status. For nonaffective psychoses, incidence was higher in neighborhoods that were more economically deprived (IRR, 1.13; 95% CI, 1.06-1.20) and socially isolated (IRR, 1.11; 95% CI, 1.04-1.19). It was lower in more racially/ethnically diverse neighborhoods (IRR, 0.94; 95% CI, 0.87-1.00). Higher intragroup racial/ethnic density (IRR, 0.97; 95% CI, 0.94-1.00) and lower intragroup racial/ethnic fragmentation (IRR, 0.98; 95% CI, 0.96-1.00) were associated with a reduced risk of affective psychosis. CONCLUSIONS AND RELEVANCE: Spatial variation in the incidence of nonaffective and affective psychotic disorders exists in rural areas. This suggests that the social environment contributes to psychosis risk across the rural-urban gradient.

It has recently been shown that signal offset optimization is feasible using vehicle trajectory data at low levels of market penetration. This study performs offset optimization on two corridors using this type ofdata. Six weeks oftrajectory splines were processed for two corridors including 25 signalized intersections, in order to create vehicle arrival profiles, using a proposed procedure called "virtual detection." After processing and filtering the data, penetration rates between 0.09-0.80% were observed, varying by approach. The arrival profiles were statistically compared against those measured with physical detectors, with the majority of the approaches showing statistically significant goodness-of-fit at a 90% confidence level. Finally, the virtual detection arrival profiles were used to optimize offsets, and compared against a solution derived from physical detector arrival profiles. The results demonstrate that virtual detection can produce good quality offsets with current market penetration rates of probe data. The study also includes a sensitivity analysis to the sample period, which shows that two weeks of data may be sufficient for data collection at current penetration rates.

Interstate 69 is a new highway envisioned to eventually travel the length of the United States, from Canada to Mexico. In Indiana, the construction is being completed in a series of segments, as shown below. With the opening of new sections, the travel time savings for travelers can be quantified. By deploying Bluetooth data loggers to capture unique MAC addresses of travelers’ devices, timestamps for corresponding MAC addresses along the study route can be matched to determine travel time. Compared to the posted speeds and lengths of new interstate sections, the travel time saved by using I-69 can be estimated. One such study was completed for the previous opening of I-69 Sections 1-3, and researchers completed a study for Section 4, which opened to public traffic on December 6, 2015.

On August 7, 2015, a 37 mile stretch of I-65 N from MM 141 to 178 was closed due to a structural evaluation of a bridge. Traffic was detoured onto US-52, SR-26, and US-231 before returning to the highway. In order to monitor delay and congestion on the detour route, a real-time dashboard was implemented in the style of the interstate Traffic Ticker. Throughout the detour, this website was used to monitor congestion in real time and measure the impact of mitigation actions. The improvement in travel can be seen from the addition of temporary signals, retiming of the US-231 corridor, and conversion of US-231 and SR-18 to a two-way stop.

The students of the Field Infrastructure Assessment course evaluated the Mobile Advanced Road Weather Information Sensor by Lufft on behalf of the Indiana Department of Transportation. The device is mounted on a vehicle, takes roadway condition measurements 100 times per second, and aggregates the measurements into one-second intervals. The data is transmitted real-time to the cloud. The class specifically evaluated the following measurements: road condition, surface temperature, and friction. It was found that the MARWIS temperature reading was systematically 4˚F lower than the probe readings. Skid test empirical results were consistent with the MARWIS friction readings. It was also found, using two devices on the back of the test vehicle, that the friction in the wheel track was greater than the friction in the center of the lane, as expected. Lastly, the “chemically wet” road condition was not consistently observed by MARWIS where expected.