scholarly journals A Fair Allocation Algorithm for Predictive Police Patrolling

2021 ◽  
Author(s):  
Isabella Rodas Arango ◽  
Mateo Dulce Rubio ◽  
Alvaro J. Riascos Villegas
Keyword(s):  
Police Officers ◽  
Prediction Models ◽  
Real Life ◽  
Fair Allocation ◽  
Policy Makers ◽  
Allocation Algorithm ◽  
Performance Guarantees ◽  
Real World Problem ◽  
Fairness Concerns ◽  
The City

We address the tradeoff of developing good predictive models for police allocation vs. optimally deploying police officers over a city in a way that does not imply an unfair allocation of resources. We modify the fair allocation algorithm of [1] to tackle a real world problem: crime in the city of Bogota, Colombia. Our approach allows for more sophisticated prediction models and we ´ show that the whole methodology outperforms the current police allocating mechanism in the city. Results show that even with a simple model such as a Kernel Density Estimation of crime, one can have much better prediction than the current police model and, at the same time, mitigate fairness concerns. Although we can not provide general performance guarantees, our results apply to a real life problem and should be seriously considered by policy makers.

Evaluation of Road Utilisation as Space For Holding Social Ceremonies in Indigenous Residential Area of Ogbomoso, Nigeria

2018 ◽  
Vol 1 (March 2018) ◽  
Author(s):  
S.A Okanlawon ◽  
O.O Odunjo ◽  
S.A Olaniyan
Keyword(s):  
Transport Infrastructure ◽  
Noisy Environment ◽  
Policy Makers ◽  
The Core ◽  
Local Roads ◽  
Strict Enforcement ◽  
The Mean ◽  
The One ◽  
The City ◽  
The Town

This study examined Residents’ evaluation of turning transport infrastructure (road) to spaces for holding social ceremonies in the indigenous residential zone of Ogbomoso, Oyo State, Nigeria. Upon stratifying the city into the three identifiable zones, the core, otherwise known as the indigenous residential zone was isolated for study. Of the twenty (20) political wards in the two local government areas of the town, fifteen (15) wards that were located in the indigenous zone constituted the study area. Respondents were selected along one out of every three (33.3%) of the Trunk — C (local) roads being the one mostly used for the purpose in the study area. The respondents were the residents, commercial motorists, commercial motorcyclists, and celebrants. Six hundred and forty-two (642) copies of questionnaire were administered and harvested on the spot. The Mean Analysis generated from the respondents’ rating of twelve perceived hazards listed in the questionnaire were then used to determine respondents’ most highly rated perceived consequences of the practice. These were noisy environment, Blockage of drainage by waste, and Endangering the life of the sick on the way to hospital; the most highly rated reasons why the practice came into being; and level of acceptability of the practice which was found to be very unacceptable in the study area. Policy makers should therefore focus their attention on strict enforcement of the law prohibiting the practice in order to ensure more cordial relationship among the citizenry, seeing citizens’ unacceptability of the practice in the study area.

What Makes a City Bikeable? A Study of Intercity and Intracity Patterns of Bicycle Ridership using Mobike Big Data Records

2020 ◽  
Vol 46 (1) ◽  
pp. 55-75
Author(s):  
Ying Long ◽  
Jianting Zhao
Keyword(s):  
Big Data ◽  
Average Distance ◽  
Policy Implications ◽  
Rating System ◽  
City Centre ◽  
Average Score ◽  
Policy Makers ◽  
Usage Frequency ◽  
Share Data ◽  
The City

This paper examines how mass ridership data can help describe cities from the bikers' perspective. We explore the possibility of using the data to reveal general bikeability patterns in 202 major Chinese cities. This process is conducted by constructing a bikeability rating system, the Mobike Riding Index (MRI), to measure bikeability in terms of usage frequency and the built environment. We first investigated mass ridership data and relevant supporting data; we then established the MRI framework and calculated MRI scores accordingly. This study finds that people tend to ride shared bikes at speeds close to 10 km/h for an average distance of 2 km roughly three times a day. The MRI results show that at the street level, the weekday and weekend MRI distributions are analogous, with an average score of 49.8 (range 0–100). At the township level, high-scoring townships are those close to the city centre; at the city level, the MRI is unevenly distributed, with high-MRI cities along the southern coastline or in the middle inland area. These patterns have policy implications for urban planners and policy-makers. This is the first and largest-scale study to incorporate mobile bike-share data into bikeability measurements, thus laying the groundwork for further research.

scholarly journals The prevalence of underweight in 9–10-year-old schoolchildren in Liverpool: 1998–2006

2009 ◽  
Vol 12 (7) ◽  
pp. 953-956 ◽  
Author(s):  
Lynne M Boddy ◽  
Allan F Hackett ◽  
Gareth Stratton
Keyword(s):  
Mass Spectrum ◽  
Body Mass ◽  
The Body ◽  
Fitness Testing ◽  
Policy Makers ◽  
Substantial Problem ◽  
Prevalence Of Obesity ◽  
Grade 3 ◽  
The City ◽  
Over Time

AbstractObjectiveTo estimate the prevalence of underweight between 1998 and 2006 in Liverpool schoolchildren aged 9–10 years using recently published underweight cut-off points.Design and settingStature and body mass data collected at the LiverpoolSportsLinx project’s fitness testing sessions were used to calculate BMI.SubjectsData were available on 26 782 (n13 637 boys, 13 145 girls) participants.ResultsOverall underweight declined in boys from 10·3 % in 1998–1999 to 6·9 % in 2005–2006, and all sub-classifications of underweight declined, in particular grade 3 underweight, with the most recent prevalence being 0·1 %. In girls, the prevalence of underweight declined from 10·8 % in 1998–1999 to 7·5 % in 2005–2006. The prevalence of all grades of underweight was higher in girls than in boys. Underweight showed a fluctuating pattern across all grades over time for boys and girls, and overall prevalence in 2005–2006 represents over 200 children across the city.ConclusionsUnderweight may have reduced slightly from baseline, but remains a substantial problem in Liverpool, with the prevalence of overall underweight being relatively similar to the prevalence of obesity. The present study highlights the requirement for policy makers and funders to consider both ends of the body mass spectrum when fixing priorities in child health.

scholarly journals AnANN Model Trained on Regional Data in the Prediction of Particular Weather Conditions

2021 ◽  
Vol 11 (11) ◽  
pp. 4757
Author(s):  
Aleksandra Bączkiewicz ◽  
Jarosław Wątróbski ◽  
Wojciech Sałabun ◽  
Joanna Kołodziejczyk
Keyword(s):  
Atmospheric Pressure ◽  
Real Life ◽  
Real Data ◽  
Weather Conditions ◽  
Maximum Temperature ◽  
Air Masses ◽  
Weather Forecasts ◽  
Life Problems ◽  
The World ◽  
The City

Artificial Neural Networks (ANNs) have proven to be a powerful tool for solving a wide variety of real-life problems. The possibility of using them for forecasting phenomena occurring in nature, especially weather indicators, has been widely discussed. However, the various areas of the world differ in terms of their difficulty and ability in preparing accurate weather forecasts. Poland lies in a zone with a moderate transition climate, which is characterized by seasonality and the inflow of many types of air masses from different directions, which, combined with the compound terrain, causes climate variability and makes it difficult to accurately predict the weather. For this reason, it is necessary to adapt the model to the prediction of weather conditions and verify its effectiveness on real data. The principal aim of this study is to present the use of a regressive model based on a unidirectional multilayer neural network, also called a Multilayer Perceptron (MLP), to predict selected weather indicators for the city of Szczecin in Poland. The forecast of the model we implemented was effective in determining the daily parameters at 96% compliance with the actual measurements for the prediction of the minimum and maximum temperature for the next day and 83.27% for the prediction of atmospheric pressure.

A Practitioner’s Perspective on Realignment

2016 ◽  
Vol 664 (1) ◽  
pp. 221-235
Author(s):  
Wendy S. Still
Keyword(s):  
San Francisco ◽  
Local Level ◽  
Interagency Collaboration ◽  
Cultural Barriers ◽  
Practical Implementation ◽  
Direct Experience ◽  
Policy Makers ◽  
Alternatives To Incarceration ◽  
Level I ◽  
The City

This article offers a practitioner’s perspective on California’s criminal justice Realignment. Drawing on my direct experience implementing Realignment as the chief probation officer in the city and county of San Francisco, I argue that the San Francisco case illustrates how decarceration can occur without compromising public safety, and I offer a set of lessons for practitioners and policy-makers about how to achieve decarceration despite local political, organizational, and cultural barriers. Specifically, I identify interagency collaboration, investment in community corrections and a commitment to alternatives to incarceration and community engagement with the families of both victims and offenders as key facilitators of decarceration at the local level. I urge observers not to dismiss these lessons as idiosyncratic to San Francisco’s unique locale. Rather, my experience has been that even San Francisco’s exceptionally hospitable local culture is not enough to successfully implement reform; structural arrangements that institutionalize the practical implementation of cultural commitments to reduce reliance on incarceration are required.

Mainstream Superhero Comics and Gendered Representations of Social Control

2017 ◽  
Author(s):  
Hope Hutchins
Keyword(s):  
Content Analysis ◽  
Social Control ◽  
Police Officers ◽  
Qualitative Content Analysis ◽  
Graphic Novels ◽  
Real Life ◽  
Women Police Officers ◽  
Wide Range ◽  
Media Constructions ◽  
Women Police

In the context of increasing familiarity with mainstream superhero comics and their characters, a wide range of readers are being exposed to the values regarding gender and social control being communicated in this genre. Therefore, it is important to assess whether social control is signified differently for males and females in superhero comics. This presentation will begin with a discussion of why it is important to study comics and graphic novels. I will then outline the concept of social control and criminological theories centered on this idea before demonstrating why superheroes may be understood as agents of social control. This will bring me to a discussion of preliminary findings of a qualitative content analysis of issues of Batman, Captain America, Wonder Woman, Ms Marvel, Justice League of America, and New Avengers comics released from May to October 2007. In examining the leadership positions, the formal and informal methods employed, those over whom social control is exercised, and relative success of each superhero in these issues, I am seeking to assess whether social control is portrayed as being exercised by male and female superheroes in different ways and to identify how this happens. The results of this content analysis will be compared with previous studies of women police officers to assess whether representations of female agents of social control in superhero comics are consistent with the experiences of real‐life criminal justice practitioners. Finally, the reasons for and implications of the nature of such media constructions will be briefly explored to encourage other students to study comics and graphic novels.

Design workshops in the age of climate change

2017 ◽  
Vol 6 (1) ◽  
pp. 48-63 ◽  
Author(s):  
Jeroen De Waegemaeker ◽  
Eva Kerselaers ◽  
Maarten Van Acker ◽  
Elke Rogge
Keyword(s):  
Climate Adaptation ◽  
Real Life ◽  
Water System ◽  
Added Value ◽  
Policy Makers ◽  
Content Type ◽  
Regional Project ◽  
Design Workshop ◽  
Specific Barriers

Purpose As policy makers address the issue of climate adaptation, they are confronted with climate-specific barriers: a long-term horizon and a high degree of uncertainty. These barriers also hamper the development of spatial planning for climate adaptation. So how can spatial planners encompass these barriers and steer the general debate on climate adaptation? The paper aims to discuss these issues. Design/methodology/approach This research analyzes the strengths and weaknesses of an international design workshop on climate adaptation, and drought issues in particular. Design workshops are originally an educational setting but they are increasingly employed as a tool to explore alternative futures on a complex, real-life design problem. The case study illustrates how climate-specific barriers emerged throughout the design workshop and clarifies how they were encompassed by the participating design students. Findings The research clarifies the added value of a design workshop on climate adaptation. The paper highlights specific promising characteristics of the design workshop: the visualization of future adaptation challenges and the current water system, the focus on a regional project instead of sectoral adjustments and the integration of the adaptation challenge with other socio-economic goals. In the case study Flanders, however, the necessary participation of climate experts and policy makers of other domains proved challenging. Originality/value The paper argues that a design workshop has the potential to enrich the debate and policy work on climate adaptation. In many countries with low-planning tradition, however, additional tools are needed to help set the “adaptation agenda.”

scholarly journals UniverCity: The Vicious Cycle of Studentification in a Peripheral City

2018 ◽  
Vol 17 (4) ◽  
pp. 1248-1269 ◽  
Author(s):  
Nufar Avni ◽  
Nurit Alfasi
Keyword(s):  
Social Impacts ◽  
Vicious Cycle ◽  
Policy Makers ◽  
Central Location ◽  
The City ◽  
Economic And Social Impacts

Research on studentification has unpacked the spatial, economic, and social impacts that are associated with the growing presence of students in cities. Nonetheless, considerably less attention has been paid to the broader regional and national contexts that shape studentification. Using the case study of Ben–Gurion University of the Negev, Beersheba, we argue that the studentification of the city should be understood within its context as the periphery of the country. Despite the university's central location and its involvement in revitalization efforts in the region, Ben–Gurion University is surrounded by marginalized neighborhoods which have turned into a “student bubble”. We show that the segregation between the campus and the city results from a vicious cycle that reproduces the city's poor image and disrupts the university's attempts to advance the city and region. Although overlooked by policy–makers, the implications of this cycle reach far beyond the campus' surrounding and affect the city and to some extent the whole region.

Earnings, EITC, and Employment Responses to a $15 Minimum Wage: Will Low-Income Workers Be Better Off?

2019 ◽  
Vol 33 (4) ◽  
pp. 331-350 ◽  
Author(s):  
Fahad Fahimullah ◽  
Yi Geng ◽  
Bradley Hardy ◽  
Daniel Muhammad ◽  
Jeffrey Wilkins
Keyword(s):  
Minimum Wage ◽  
Low Income ◽  
Computable General Equilibrium ◽  
Computable General Equilibrium Model ◽  
Perfect Competition ◽  
Tax Credit ◽  
Wage Policy ◽  
Policy Makers ◽  
Consumer Prices ◽  
The City

The District of Columbia will increase its minimum wage to $15 per hour in 2020. The city also provides a local refundable earned income tax credit (EITC) equal to 40% of the federal EITC. Using a computable general equilibrium model, the authors estimate the economic impact of the $15 wage policy. They also use a tax policy microsimulation model to estimate how the city’s EITC interacts with a higher minimum wage. Overall, the authors find that the higher minimum wage will produce significant income gains for most of the city’s low-wage workers, with relatively few job losses. Additionally, they forecast that most city EITC recipients will receive a lower EITC, but higher earnings more than offset the reduced tax credit. The model predicts that this policy change would largely be funded by higher consumer prices, lower firm profits, and higher business productivity. These predictions are subject to important caveats, including a local labor market that is likely inadequately characterized in a model assuming perfect competition. Economic policy makers should therefore use such modeling approaches as a powerful but ultimately imperfect tool.

scholarly journals Towards Smart Urban Regeneration: Findings of an Urban Footprint Survey in Port Louis, Mauritius

Smart Cities ◽  
2018 ◽  
Vol 1 (1) ◽  
pp. 121-133 ◽  
Author(s):  
Zaheer Allam ◽  
A. Dhunny ◽  
Gaëtan Siew ◽  
David Jones
Keyword(s):  
Field Survey ◽  
Smart Cities ◽  
Urban Regeneration ◽  
Policy Makers ◽  
Housing Projects ◽  
Young Professionals ◽  
The Government ◽  
The City ◽  
City Centres ◽  
Urban Footprint

The Smart City Scheme, as part of the Smart Mauritius initiative, adopted by the Government of Mauritius in 2014, heavily incentivised the emergence of new smart cities in greenfields. The resulting migration of business and residents from existing cities to new cities affected the liveability standard of existing cities and encouraged property speculation. This shift reduced home pricing affordability further from the grasp of young professionals. With the Mauritian Landlord and Tenant Act of 1999 discouraging investment in Mauritian city centres, property developers were additionally encouraged to invest in housing projects in these emerging Smart Cities. As part of the Smart Urban Regeneration strategy of Port Louis that sought to reduce competition between new and existing cities, the provision of housing was seen as paramount to enabling the Smart Cities concept as promoted by the Government. The findings of this paper, which explores the urban footprint of Port Louis through field survey, provides insights, as to the components of the city, that can assist policy-makers and developers to better shape projects that are more responsive to the Smart Urban Regeneration plan.

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