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Fabiola Denegri and Judith Ley-García
In developing countries, crime is a serious problem that affects the operation and viability of firms. Offenses such as vandalism, robbery, and theft raise the operating costs of firms and imposes on them indirect costs. The literature on spatial analysi...
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Chong Xu, Xi Chen, Lin Liu, Minxuan Lan and Debao Chen
Whether newly implemented public transit stations influence the nearby crime pattern has been debated for years. In ZG City, China, 2 new subway lines and 20 new stations were implemented in 2017. This intervention allows us to test the plausible relatio...
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O. V. Ostapchuk,P. Yu. Krasovskyi
Pág. 63 - 65
Description to the basic methods of theft of electric power is given and the developed effective device of protecting from thefts is presented.
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Guangwen Song, Chunxia Zhang, Luzi Xiao, Zhuoting Wang, Jianguo Chen and Xu Zhang
The ambient population has been regarded as an important indicator for analyzing or predicting thefts. However, the literature has taken it as a homogenous group and seldom explored the varied impacts of different kinds of ambient populations on thefts. ...
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Eunseo Kwon, Sungwon Jung and Jaewook Lee
Crime prediction research using AI has been actively conducted to predict potential crimes?generally, crime locations or time series flows. It is possible to predict these potential crimes in detail if crime characteristics, such as detailed techniques, ...
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Natalia Sypion-Dutkowska, Minxuan Lan, Marek Dutkowski and Victoria Williams
The article aims to propose a new way of estimating the ambient and immobile urban population using geotagged tweets and age structure, and to test how they are related to urban crime patterns. Using geotagged tweets and age structure data in 37 neighbor...
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Yasmine Lamari, Bartol Freskura, Anass Abdessamad, Sarah Eichberg and Simon de Bonviller
While the use of crime data has been widely advocated in the literature, its availability is often limited to large urban cities and isolated databases that tend not to allow for spatial comparisons. This paper presents an efficient machine learning fram...
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Xiaomin Jiang, Ziwan Zheng, Ye Zheng and Zhewei Mao
Theft is an inevitable problem in the context of urbanization and poses a challenge to people?s lives and social stability. The study of theft and criminal behavior using spatiotemporal, big, demographic, and neighborhood data is important for guiding se...
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Shawal Khan, Ishita Sharma, Mazzamal Aslam, Muhammad Zahid Khan and Shahzad Khan
A Vehicular Ad-hoc Network (VANET) comprises a group of moving or stationary vehicles connected by a wireless network. VANETs play a vital role in providing safety and comfort to drivers in vehicular environments. They provide smart traffic control and r...
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Colin Ferster, Trisalyn Nelson, Karen Laberee, Ward Vanlaar and Meghan Winters
People generate massive volumes of data on the Internet about cities. Researchers may engage these crowds to fill data gaps and better understand and inform planning decisions. Crowdsourced tools for data collection must be supported by outreach; however...
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Alec Foster, Ian M. Dunham and Charles Kaylor
People generate massive volumes of data on the Internet about cities. Researchers may engage these crowds to fill data gaps and better understand and inform planning decisions. Crowdsourced tools for data collection must be supported by outreach; however...
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Colin Ferster, Trisalyn Nelson, Karen Laberee, Ward Vanlaar and Meghan Winters
People generate massive volumes of data on the Internet about cities. Researchers may engage these crowds to fill data gaps and better understand and inform planning decisions. Crowdsourced tools for data collection must be supported by outreach; however...
ver más
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