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相关论文: Urban Vibrancy and Safety in Philadelphia

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To what extent can the strength of a local urban community impact neighborhood safety? We construct measures of community vibrancy based on a unique dataset of block party permit approvals from the City of Philadelphia. Our first measure…

应用统计 · 统计学 2021-09-06 Wichinpong Park Sinchaisri , Shane T. Jensen

We use high resolution data to investigate the association between crime incidence and proximity to different types of public schools over the past fifteen years in the city of Philadelphia. We employ two statistical methods, regression…

应用统计 · 统计学 2023-12-29 Leonardo de Castro Harth , Bangxi Xiao , Shane T. Jensen

Complex systems have become a popular lens for analyzing cities and complexity theory has many implications for urban performance and resilience. This paper develops a typology of measures and indicators for assessing the physical…

物理与社会 · 物理学 2018-10-05 Geoff Boeing

Policy makers, urban planners, architects, sociologists, and economists are interested in creating urban areas that are both lively and safe. But are the safety and liveliness of neighborhoods independent characteristics? Or are they just…

Urban vibrancy is an important measure of the energetic nature of a city that is related to why and how people use urban spaces, and it is inherently connected with our social behaviour. Increasingly, people use a wide range of mobile phone…

计算机与社会 · 计算机科学 2024-12-20 Thomas Collins , Diogo Pacheco , Riccardo Di Clemente , Federico Botta

Estimation of the spatial heterogeneity in crime incidence across an entire city is an important step towards reducing crime and increasing our understanding of the physical and social functioning of urban environments. This is a difficult…

统计方法学 · 统计学 2022-07-26 Cecilia Balocchi , Edward I. George , Shane T. Jensen

Cities are inherently dynamic. Interesting patterns of behavior typically manifest at several key areas of a city over multiple temporal resolutions. Studying these patterns can greatly help a variety of experts ranging from city planners…

计算机与社会 · 计算机科学 2018-01-01 Fabio Miranda , Harish Doraiswamy , Marcos Lage , Kai Zhao , Bruno Gonçalves , Luc Wilson , Mondrian Hsieh , Cláudio T. Silva

Philadelphia's problem with high crime rates continues to be exacerbated as Philadelphia's residents, community leaders, and law enforcement officials struggle to address the root causes of the problem and make the city safer for all. In…

应用统计 · 统计学 2023-06-29 Ishan S. Khare , Tarun K. Martheswaran , Rahul K. Thomas , Aditya Bora

This study addresses the challenge of urban safety in New York City by examining the relationship between the built environment and crime rates using machine learning and a comprehensive dataset of street view images. We aim to identify how…

计算机视觉与模式识别 · 计算机科学 2024-04-19 Zhixuan Qi , Huaiying Luo , Chen Chi

Understanding the relationship between change in crime over time and the geography of urban areas is an important problem for urban planning. Accurate estimation of changing crime rates throughout a city would aid law enforcement as well as…

应用统计 · 统计学 2019-10-21 Cecilia Balocchi , Shane T. Jensen

The availability of big data on human activity is currently changing the way we look at our surroundings. With the high penetration of mobile phones, nearly everyone is already carrying a high-precision sensor providing an opportunity to…

社会与信息网络 · 计算机科学 2015-09-02 Dániel Kondor , Pierrick Thebault , Sebastian Grauwin , István Gódor , Simon Moritz , Stanislav Sobolevsky , Carlo Ratti

Cities are living systems where urban infrastructures and their functions are defined and evolved due to population behaviors. Profiling the cities and functional regions has been an important topic in urban design and planning. This paper…

社会与信息网络 · 计算机科学 2017-07-14 Lei Shi , Tao Jiang , Ye Zhao , Xiatian Zhang , Yao Lu

We investigate at the subscale of the neighborhoods of a highly populated city the incidence of property crimes in terms of both the resident and the floating population. Our results show that a relevant allometric relation could only be…

Accurate estimation of the change in crime over time is a critical first step towards better understanding of public safety in large urban environments. Bayesian hierarchical modeling is a natural way to study spatial variation in urban…

应用统计 · 统计学 2022-06-22 Cecilia Balocchi , Sameer K. Deshpande , Edward I. George , Shane T. Jensen

Understanding how local environments influence individual behaviors, such as voting patterns or suicidal tendencies, is crucial in social science to reveal and reduce spatial disparities and promote social well-being. With the increasing…

人机交互 · 计算机科学 2023-09-21 Yue Yu , Yifang Wang , Qisen Yang , Di Weng , Yongjun Zhang , Xiaogang Wu , Yingcai Wu , Huamin Qu

Nowadays, 23% of the world population lives in multi-million cities. In these metropolises, criminal activity is much higher and violent than in either small cities or rural areas. Thus, understanding what factors influence urban crime in…

社会与信息网络 · 计算机科学 2020-04-15 Marco De Nadai , Yanyan Xu , Emmanuel Letouzé , Marta C. González , Bruno Lepri

The scaling relations between city attributes and population are emergent and ubiquitous aspects of urban growth. Quantifying these relations and understanding their theoretical foundation, however, is difficult due to the challenge of…

物理与社会 · 物理学 2023-01-31 Keith Burghardt , Johannes H. Uhl , Kristina Lerman , Stefan Leyk

Urban vibrancy is the dynamic activity of humans in urban locations. It can vary with urban features and the opportunities for human interactions, but it might also differ according to the underlying social conditions of city inhabitants…

物理与社会 · 物理学 2023-11-01 Thomas Collins , Riccardo Di Clemente , Mario Gutiérrez-Roig , Federico Botta

Bike usage in Smart Cities becomes paramount for sustainable urban development. Cycling provides tremendous opportunities for a more healthy lifestyle, lower energy consumption and carbon emissions as well as reduction of traffic jams.…

计算机与社会 · 计算机科学 2019-05-22 David Castells-Graells , Christopher Salahub , Evangelos Pournaras

This study uses connected vehicle data to analyze speeding behavior on residential roads. A scalable pipeline processes trajectory data and supplements missing speed limits to generate summaries at OpenStreetMap's way ID level. The findings…

应用统计 · 统计学 2026-01-19 Shi Feng , B. Brian Park , Andrew Mondschein
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