Relevant bibliographies by topics / Neighborhood Problems

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Neighborhood Problems'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Neighborhood Problems"

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Conyersm, F. Garrett, Helene M. Langevin, Gary J. Badger, and Darshan H. Mehta. "Identifying Stress Landscapes in Boston Neighborhoods." Global Advances in Health and Medicine 7 (January 2018): 216495611880305. http://dx.doi.org/10.1177/2164956118803058.

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Background Chronic stress plays a role in the development of health disparities. However, the relationship between neighborhood stressors and stress-related health problems and behaviors is unknown. In the city of Boston, Massachusetts, 3 neighborhoods, while within a 3 mile radius, have widely divergent life expectancies. This work aims to investigate and compare perceived neighborhood-level stressors, stress-related negative behaviors, and stress-related health problems in these neighborhoods. Methods Three hundred twenty-six participants were surveyed from the neighborhoods. Participants were asked to rate (1) 27 neighborhood stressors, (2) 16 stress-related negative behaviors, and (3) 13 stress-related health problems using a 1 to 5 Likert-type scale. Differences in responses between neighborhoods were analyzed using Kruskal–Wallis and χ2 tests. Results The highest neighborhood stressors overall were related to finance, unequal treatment, and unsafe bike/pedestrian access. The highest stress-related health problems were related to substance abuse and obesity, and the largest stress-related behaviors were related to poor diet, intolerance, and aggressive driving. There were significant differences across neighborhoods ( P < .05) for 18 of the 27 neighborhood stressors, 8 of the 10 stress-related health problems, and 12 of the 15 stress-related behaviors. Conclusions There is marked contrast in stress landscapes between the 3 neighborhoods in Boston despite their geographical proximity. This finding potentially serves as an explanation for the drastic differences in health outcomes, even though these neighborhoods are equidistant from academic medical centers. Strategies for improving the health of individuals should incorporate the unique stressors at the neighborhood level. Further research is needed to investigate how specifically neighborhood stressors influence the health of residents, thereby informing what policy interventions might be useful.
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Drazic, Milan. "Influence of a neighborhood shape on the efficiency of continuous variable neighborhood search." Yugoslav Journal of Operations Research 30, no. 1 (2020): 3–17. http://dx.doi.org/10.2298/yjor190115004d.

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The efficiency of a Variable neighborhood search metaheuristic for continuous global optimization problems greatly depends on geometric shape of neighborhood structures used by the algorithm. Among the neighborhoods defined by balls in ?p, 1 ?p ? ? metric, we tested the ?1, ?2, and ?? ball shape neighborhoods, for which there exist efficient algorithms for obtaining uniformly distributed points. On many challenging high-dimensional problems, our exhaustive testings showed that, popular and the easiest for implementation, ?? ball shape of neighborhoods performed the worst, and much better efficiency was obtained with ?1 and ?2.
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Singh, Gopal K., and Mary Kay Kenney. "Rising Prevalence and Neighborhood, Social, and Behavioral Determinants of Sleep Problems in US Children and Adolescents, 2003–2012." Sleep Disorders 2013 (2013): 1–15. http://dx.doi.org/10.1155/2013/394320.

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We examined trends and neighborhood and sociobehavioral determinants of sleep problems in US children aged 6–17 between 2003 and 2012. The 2003, 2007, and 2011-2012 rounds of the National Survey of Children’s Health were used to estimate trends and differentials in sleep problems using logistic regression. Prevalence of sleep problems increased significantly over time. The proportion of children with <7 days/week of adequate sleep increased from 31.2% in 2003 to 41.9% in 2011-2012, whereas the prevalence of adequate sleep <5 days/week rose from 12.6% in 2003 to 13.6% in 2011-2012. Prevalence of sleep problems varied in relation to neighborhood socioeconomic and built-environmental characteristics (e.g., safety concerns, poor housing, garbage/litter, vandalism, sidewalks, and parks/playgrounds). Approximately 10% of children in neighborhoods with the most-favorable social environment had serious sleep problems, compared with 16.2% of children in neighborhoods with the least-favorable social environment. Children in neighborhoods with the fewest health-promoting amenities or the greatest social disadvantage had 37%–43% higher adjusted odds of serious sleep problems than children in the most-favorable neighborhoods. Higher levels of screen time, physical inactivity, and secondhand smoke exposure were associated with 20%–47% higher adjusted odds of sleep problems. Neighborhood conditions and behavioral factors are important determinants of sleep problems in children.
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Gilster, Megan E., Cristian L. Meier, and Jaime M. Booth. "Assessing the Role of Ethnic Enclaves and Neighborhood Conditions in Volunteering Among Latinos in Chicago." Nonprofit and Voluntary Sector Quarterly 49, no. 3 (December 2, 2019): 479–501. http://dx.doi.org/10.1177/0899764019889188.

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Neighborhoods may be important for formal volunteering because they vary in the extent to which they have institutions that support participation and problems that motivate participation. According to social heterogeneity and ethnic community theories, we should expect that living in ethnic enclaves, neighborhoods where residents are predominantly of the same ethnic group, would promote formal volunteering. Latino ethnic enclaves may also have more institutions and problems. However, no studies have examined neighborhood effects on formal volunteering among U.S.- and foreign-born Latinos. We investigated neighborhood-level predictors of formal volunteering among Latinos, and Mexican descent residents more specifically, using secondary data from Chicago, a Latino immigrant destination. We tested the effects of ethnic enclaves, neighborhood organizational resources, and neighborhood needs on formal volunteering. We found that Latinos in Chicago were less likely to participate in formal volunteering in ethnic enclaves when controlling for enclaves’ greater neighborhood needs, which positively influenced formal volunteering.
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Leventhal, Tama, and Jeanne Brooks-Gunn. "Children and Youth in Neighborhood Contexts." Current Directions in Psychological Science 12, no. 1 (February 2003): 27–31. http://dx.doi.org/10.1111/1467-8721.01216.

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Neighborhoods are increasingly studied as a context where children and youth develop; however, the extent of neighborhoods' impact remains debatable because it is difficult to disentangle this impact from that of the family context, in part because families have some choice as to where they live. Evidence from randomized experiments, studies using advanced statistical models, and longitudinal studies that control for family characteristics indicates that neighborhoods do matter. In nonexperimental studies, small to moderate associations were found, suggesting that children and adolescents living in high-income neighborhoods had higher cognitive ability and school achievement than those living in middle-income neighborhoods, and children and adolescents living in low-income neighborhoods had more mental and physical health problems than those living in middle-income neighborhoods. The home environment has been shown to be partly responsible for the link between neighborhood and children's development. For adolescents, neighborhood effects are partially accounted for by community social control. Experimental studies in which families were randomly assigned to move to low-poverty neighborhoods from housing projects found larger neighborhood effects than nonexperi-mental research, particularly for boys' outcomes. Additional issues reviewed are relevant neighborhood characteristics, theoretical models explaining the pathways underlying neighborhood effects, methods for research assessing neighborhood processes, and policy implications.
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Cathorall, M. L., H. Xin, R. Aronson, A. Peachey, D. L. Bibeau, M. Schulz, and G. Dave. "The Influence of Neighborhood Poverty on Blood Glucose Levels: Findings from the Community Initiative to Eliminate Stroke (CITIES) program." Health, Culture and Society 8, no. 2 (December 17, 2015): 87–96. http://dx.doi.org/10.5195/hcs.2015.184.

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Objectives: To examine the relationship between both individual and neighborhood level characteristics and non-fasting blood glucose levels.Study design: This study used a cross sectional design using data from the Community Initiative to Eliminate Stroke Program in NC (2004-2008). A total of 12,809 adults nested within 550 census block groups from two adjacent urban counties were included in the analysis.Methods: Participants completed a cardiovascular risk factor assessment with self-reported demographics, stroke-risk behaviors, and biometric measurements. Neighborhood level characteristics were based upon census data. Three multilevel models were constructed for data analysis.Results: Mean blood glucose level of this sample population was 103.61mg/dL. The unconditional model 1 suggested a variation in mean blood glucose levels among the neighborhoods (τ00 = 13.39; P < .001). Both models 2 and 3 suggested that the neighborhood composite deprivation index had a significant prediction on each neighborhood’s mean blood glucose level (¡01= .69; P < 0.001,¡01= .36; P = .004). Model 3 also suggested that across all the neighborhoods, on average, after controlling for individual level risk factors, deprivation remained a significant predictor of blood glucose levels.Conclusions: The findings provide evidence that neighborhood disadvantage is a significant predictor of neighborhood and individual level blood glucose levels. One approach to diabetes prevention could be for policymakers to address the problems associated with environmental determinants of health.
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Mao, Weiyu, Bei Wu, Iris Chi, Wei Yang, and XinQi Dong. "Neighborhood Cohesion, Acculturation, and Oral Health Problems Among Older Chinese American Immigrants." Innovation in Aging 4, Supplement_1 (December 1, 2020): 820. http://dx.doi.org/10.1093/geroni/igaa057.2988.

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Abstract The influences of neighborhood characteristics remain understudied in relation to oral health, especially within the context of immigration. Acculturation exerts influences on the oral health of immigrants. This study investigated the relationship between neighborhood cohesion and oral health problems among older Chinese American immigrants and examined the moderating role of acculturation in such a relationship. The working sample included 3,157 older Chinese American immigrants aged 60 years or older from the baseline of the Population Study of Chinese Elderly in Chicago. Stepwise logistic regression models with interaction terms were conducted. Individuals experiencing higher levels of neighborhood cohesion reported a lower likelihood of having oral health problems. The protective effect of neighborhood cohesion against having oral health problems was stronger when individuals resided in ethnic enclaves such as Chinatown. To promote optimal oral health, interventions need to account for individuals’ perceptions and levels of integration into their neighborhoods and communities.
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Zhang, Xu-Tao, Biao Xu, Wei Zhang, Jun Zhang, and Xin-fang Ji. "Dynamic Neighborhood-Based Particle Swarm Optimization for Multimodal Problems." Mathematical Problems in Engineering 2020 (December 19, 2020): 1–13. http://dx.doi.org/10.1155/2020/6675996.

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Various black-box optimization problems in real world can be classified as multimodal optimization problems. Neighborhood information plays an important role in improving the performance of an evolutionary algorithm when dealing with such problems. In view of this, we propose a particle swarm optimization algorithm based on dynamic neighborhood to solve the multimodal optimization problem. In this paper, a dynamic ε-neighborhood selection mechanism is first defined to balance the exploration and exploitation of the algorithm. Then, based on the information provided by the neighborhoods, four different particle position updating strategies are designed to further support the algorithm’s exploration and exploitation of the search space. Finally, the proposed algorithm is compared with 7 state-of-the-art multimodal algorithms on 8 benchmark instances. The experimental results reveal that the proposed algorithm is superior to the compared ones and is an effective method to tackle multimodal optimization problems.
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Huang, Haihuang, Liwei Jiang, Xue Yu, and Dongqing Xie. "Hypercube-Based Crowding Differential Evolution with Neighborhood Mutation for Multimodal Optimization." International Journal of Swarm Intelligence Research 9, no. 2 (April 2018): 15–27. http://dx.doi.org/10.4018/ijsir.2018040102.

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In reality, multiple optimal solutions are often necessary to provide alternative options in different occasions. Thus, multimodal optimization is important as well as challenging to find multiple optimal solutions of a given objective function simultaneously. For solving multimodal optimization problems, various differential evolution (DE) algorithms with niching and neighborhood strategies have been developed. In this article, a hypercube-based crowding DE with neighborhood mutation is proposed for such problems as well. It is characterized by the use of hypercube-based neighborhoods instead of Euclidean-distance-based neighborhoods or other simpler neighborhoods. Moreover, a self-adaptive method is additionally adopted to control the radius vector of a hypercube so as to guarantee the neighborhood size always in a reasonable range. In this way, the algorithm will perform a more accurate search in the sub-regions with dense individuals, but perform a random search in the sub-regions with only sparse individuals. Experiments are conducted in comparison with an outstanding DE with neighborhood mutation, namely NCDE. The results show that the proposed algorithm is promising and computationally inexpensive.
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Allen, Ryan. "The Distribution and Evolution of Physical Neighborhood Problems during the Great Recession." City & Community 12, no. 3 (September 2013): 260–79. http://dx.doi.org/10.1111/cico.12025.

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While the Great Recession had clear effects on economic growth, unemployment, and household wealth and earnings in the United States, it also likely affected the quality of neighborhoods. Situated in the literature on locational attainment and economic shocks, this research considers how a national economic crisis affects physical neighborhood problems and existing disparities between minority and white households in experiencing these problems (e.g., street disrepair, trash, abandoned buildings, window bars). Results indicate that neighborhood problems increased between 2005 and 2009 and large and persistent disparities existed between some minority groups and white non–Hispanics in experiencing these problems, even after controlling for potentially confounding factors. However, there is little support for the idea that disparities between minorities and white non–Hispanics in experiencing neighborhood problems increased during this time. These research findings suggest that large and pervasive shocks, such as an economic recession, can influence locational attainment by changing neighborhood quality in absolute terms but may not affect the relative hierarchy of place.
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Dissertations / Theses on the topic "Neighborhood Problems"

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Parker, Joseph C. "The Chestnut neighborhood revitalization project a church-neighborhood partnership to develop and implement a neighborhood plan as an approach to reclaiming God's prodigal communities /." Online full text .pdf document, available to Fuller patrons only, 2003. http://www.tren.com.

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Jha, Krishna Chandra. "Very large-scale neighborhood search heuristics for combinatorial optimization problems." [Gainesville, Fla.] : University of Florida, 2004. http://purl.fcla.edu/fcla/etd/UFE0004352.

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Sharma, Dushyant 1975. "Cyclic exchange and related neighborhood structures for combinatorial optimization problems." Thesis, Massachusetts Institute of Technology, 2002. http://hdl.handle.net/1721.1/8526.

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Thesis (Ph.D.)--Massachusetts Institute of Technology, Sloan School of Management, 2002.
Includes bibliographical references (p. 122-126).
In this thesis, we concentrate on neighborhood search algorithms based on very large-scale neighborhood structures. The thesis consists of three parts. In the first part, we develop a cyclic exchange neighborhood search based approach for partitioning problems. A partitioning problem is to divide a set of n elements into K subsets S1,... ,SK so as to minimize f(S1)+...+f(SK) for some specified function f. A partition S'1,.. ,S'K is called a cyclic exchange neighbor of the partition S1,...,SK if [...]. The problem of searching the cyclic exchange neighborhood is NP-hard. We develop new exact and heuristic algorithms to search this neighborhood structure. We propose cyclic exchange based neighborhood search algorithms for specific partitioning problems. We provide computational results on these problems indicating that the cyclic exchange is very effective and can be implemented efficiently in practice. The second part deals with the Combined Through and Fleet Assignment Model (ctFAM). This model integrates two airline planning models: (i) Fleet Assignment Model and (ii) Through Assignment Model, which are currently solved in a sequential manner because the combined problem is too large. This leads to sub-optimal solutions for the combined problem we develop very large-scale neighborhood search algorithms for the ctFAM. We also extend our neighborhood search algorithms to solve the multi-criteria objective function version of the ctFAM. Our computational results using real-life data show that neighborhood search can be a useful supplement to the current integer-programming optimization methods in airline scheduling.
(cont.) In the third part, we investigate the structure of neighborhoods in general. We call two neighborhood structures LO-equivalent if they have the same set of local optima for all instances of a combinatorial optimization problem. We define the extended neighborhood of a neighborhood structure N as the largest neighborhood structure that is LO-equivalent to N. In this thesis, we develop some theoretical properties of the extended neighborhood and relate these properties to the performance of a neighborhood structure. In particular, we show that the well-known 2-opt neighborhood structure for the Traveling Salesman Problem has a very large extended neighborhood, providing justification for its favorable empirical performance.
by Dushyant Sharma.
Ph.D.
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Qiao, Wenbao. "GPU component-based neighborhood search for Euclidean graph minimization problems." Thesis, Bourgogne Franche-Comté, 2018. http://www.theses.fr/2018UBFCA020.

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Dans cette thèse, nous proposons des solutions parrallèles basées sur le systèmes actuel GPU (graphics processing unit) pour deux problèmes de minimisation de graphe Euclidien, à savoir le problème de forêt/arbre couvrant minimum Euclidien (EMSF / EMST) et le problème du voyageur commerce (TSP). Les solutions proposées résolvent également aussi le problème d'une paire bichromatique la plus proche (BCP), et suivent la technique de ``contrôle décentralisé, du parallélisme des données et des mémoires partagées par GPU".Nous proposons une technique de recherche dans le voisinage le plus proche de dimension K Euclidienne basée sur les approches classiques de NNS d’Elias qui divisent l’espace Euclidien en cellules congruentes et ne se chevauchant pas, où la taille des points de chaque cellule est délimitée. Nous proposons aussi une technique d'élagage pour obtenir le NNS à base de composants afin de trouver le point de sortie le plus proche de l'ensemble de points de requête de Q dans la complexité temporelle linéaire séquentielle lorsque les données sont uniformément réparties. Ces techniques sont utilisées conjointement avec deux GPU algorithmes proposés pour arbre traversement, à savoir la recherche en largeur bidirectionnelle GPU et la liste chaînée dynamique distribuée, afin d'adresser le BCP. Basé sur la solution BCP, un algorithme parallèle Divide and Conquer est implémenté pour construire EMSF et EMST totalement côté GPU. Le TSP est adressé avec différents algorithmes de recherche locaux parallèles 2-opt, dans lesquels nous proposons une méthodologie ``évaluation multiple K-opt, mouvements multiples K-opt" afin d’exécuter simultanément, sans interférence, des processus massifs 2-/3-opt mouvements qui se retrouvent globalement sur le même circuit TSP pour de nombreux bords. Cette méthodologie est expliquée en détail pour montrer comment nous obtenons un calcul haute performance à la fois du côté du GPU et CPU. Nous testons les solutions proposées et rapportons des résultats de comparaison expérimentale par rapport aux algorithmes de pointe
In this thesis, we propose parallel solutions based on current graphics processing unit (GPU) system for two Euclidean graph minimization problems, namely the Euclidean minimum spanning forest/tree (EMSF/EMST) and the travelling salesman problem (TSP). The proposed solutions also solve the bichromatic closest pair (BCP) problem, and follow technique of ``decentralized control, data parallelism, GPU shared memories".We propose a Euclidean K-dimensional nearest neighbourhood search (NNS) technique based on classical Elias' NNS approaches that divide the Euclidean space into congruent and non-overlapping cells where size of points in each cell is bounded. We propose a pruning technique to obtain component-based NNS to find a query point set Q's closest outgoing point within sequential linear time complexity when the data is uniformly distributed. These techniques are used together with two proposed GPU tree traversal algorithms, namely the GPU two-direction Breadth-first search and distributed dynamic linked list, to address the BCP. Based on the BCP solution, a divide and conquer parallel algorithm is implemented for building EMSF and EMST totally on GPU side. The TSP is addressed with different parallel 2-opt local search algorithms, in which we propose a ``multiple K-opt evaluation, multiple K-opt moves" methodology in order to simultaneously execute, without interference, massive 2-/3-opt moves that are globally found on the same TSP tour for many edges. This methodology is explained in details to show how we obtain high performance computing both on GPU and CPU side. We test the proposed solutions and report experimental comparison results against the state-of-the-art algorithms
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Kang, Jeehye. "Behavioral Problems of Children in L.A| Extended Family, Neighborhood, and Nativity." Thesis, University of Maryland, College Park, 2017. http://pqdtopen.proquest.com/#viewpdf?dispub=10286698.

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This dissertation consists of three papers that examine the association between family living arrangements and internalizing and externalizing behavioral problems in children. With increasing immigration and growing heterogeneity in family forms, extended family members are of increasing importance in children’s lives. However, knowledge about extended family living arrangements is lacking. The first paper examines the association between the presence of co-resident extended kin and children’s internalizing and externalizing behaviors. Children in the sample were found to be disadvantaged in extended households, especially with regard to internalizing behaviors. This association was found mostly among married-parent extended households. Further, this pattern emerged more clearly among children of documented immigrants, compared to those with native-born parents and those whose parents were undocumented immigrants. These findings suggest a need to revisit previous theories on extended family living arrangements. The second paper examines what kinds of household extension are associated with child behavioral problems. I specify the types of household extension by their relation to the householder—vertical, horizontal, and non-kin. Results from the cross-sectional sample indicate that horizontal extension is associated with higher internalizing behavior problems in children. However, the results from fixed effects models suggest that this pattern may be due to selection effects. Fixed effects estimations show that children moving into vertically extended household increase externalizing behaviors or that children moving out of a vertically extended household decrease externalizing behaviors. I discuss what implications this type of transition represents. The third paper examines the interaction between extended family household structure and neighborhood characteristics on children’s behavioral functioning. Findings suggest that the co-residence with extended kin is associated with both higher internalizing and externalizing behaviors for children. Although the health disadvantage of living with extended kin seems to be independent of the neighborhood income and racial minority concentration levels, extended kin moderate the associations with neighborhood structure. The advantage of living in higher-income neighborhood strengthens for extended families, reducing internalizing behavioral problems in children. Minority concentrated neighborhood functions as an advantage for extended families, decreasing externalizing behavioral problems. I conclude with discussion of future research and policy implications.

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Callahan, Kristin. "The Direct and Interactive Effects of Neighborhood Risk and Harsh Parenting on Childhood Externalizing and Internalizing Behavior." ScholarWorks@UNO, 2006. http://scholarworks.uno.edu/td/364.

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The present study investigated the direct and interactional effects of neighborhood disadvantage and harsh parenting on concurrent assessments and change in externalizing and internalizing behavior in toddlerhood. The study included 55 mothers and their children; families completed in-home assessments when children were 2 and 3 years of age. Mothers' reports were used to measure neighborhood disadvantage and children's problem behaviors. Observer ratings derived from a clean up task were used to measure harsh parenting. Four hierarchical regression equations were computed to test each study hypothesis. Results indicated marginally significant effects of harsh parenting on externalizing problems at age 2. Surprisingly, harsh parenting and exposure to neighborhood risk did not significantly predict increases in externalizing behavior problems from age 2 to 3. Harsh parenting was marginally related to children's internalizing problems under conditions of high levels of neighborhood disadvantage and predicted increases in internalizing over time. The theoretical implications of the results are discussed.
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Curtis, Daniel Lawrence. "A bridge to the neighborhood a partnership model for integrating neighborhood residents into leadership positions at Grace United Methodist Church of Lima, Ohio /." Online full text .pdf document, available to Fuller patrons only, 2003. http://www.tren.com.

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Gutierrez, M. Maria Isabel. "The growth of conduct problems in early adolescence does neighborhood environment really matter /." Available to US Hopkins community, 2002. http://wwwlib.umi.com/dissertations/dlnow/3068160.

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Hango, Darcy William. "The effect of neighborhood poverty and residential mobility on child well-being." Connect to this title online, 2003. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1069324610.

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Thesis (Ph. D.)--Ohio State University, 2003.
Title from first page of PDF file. Document formatted into pages; contains xi, 178 p.; also includes graphics Includes bibliographical references (p. 163-178). Available online via OhioLINK's ETD Center
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Petropulos, Anthony J. A. (Anthony John Alexander). "Understanding the dynamics of drug-related problems in public housing and its surrounding neighborhood." Thesis, Massachusetts Institute of Technology, 1996. http://hdl.handle.net/1721.1/69362.

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Books on the topic "Neighborhood Problems"

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1924-, Dyson Elizabeth U., ed. Neighborhood caretakers: Stories, strategies, and tools for healing urban community. Indianapolis, Ind: Knowledge Systems, 1989.

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Wachter, Mary I. Taking back our neighborhoods: Building communities that work. Minneapolis: Fairview Press, 1996.

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New Jersey. Legislature. Senate. Urban Policy and Planning Committee. Focus group, April 11, 1994, Irvington Neighborhood Improvement Corporation, Irvington, New Jersey: Urban problems in Irvington. [Trenton, N.J: Office of Legislative Services, Public Information Office, Hearing Unit, 1994.

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Branch, Canada Human Resources Development Applied Research. Do places matter?: A multilevel analysis of geographic variations in child behavior in Canada. Hull, Quebec: Human Resources Development Canada., 1998.

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The elderly in poor urban neighborhoods. New York: Garland Pub., 1997.

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G. J. M. van den Brink. Prachtwijken?!: De mogelijkheden en beperkingen van Nederlandse probleemwijken. Amsterdam: Bert Bakker, 2007.

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(Ireland), National Crime Council. Problem solving justice: The case for community courts in Ireland. Dublin: Stationery Office, 2007.

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Feins, Judith D. Solving crime problems in residential neighborhoods: Comprehensive changes in design, management, and use. Washington, D.C: U.S. Dept. of Justice, Office of Justice Programs, National Institute of Justice, 1997.

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Feins, Judith D. Solving crime problems in residential neighborhoods: Comprehensive changes in design, management, and use. Washington, D.C: U.S. Dept. of Justice, Office of Justice Programs, National Institute of Justice, 1997.

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Feins, Judith D. Solving crime problems in residential neighborhoods: Comprehensive changes in design, management, and use. Washington, D.C: U.S. Dept. of Justice, Office of Justice Programs, National Institute of Justice, 1997.

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Book chapters on the topic "Neighborhood Problems"

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Michalos, Alex C. "Index of Neighborhood Problems." In Encyclopedia of Quality of Life and Well-Being Research, 3168–69. Dordrecht: Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-007-0753-5_3684.

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Dahite, Lamiaa, Abdeslam Kadrani, Rachid Benmansour, Rym Nesrine Guibadj, and Cyril Fonlupt. "Optimization of Maintenance Planning and Routing Problems." In Variable Neighborhood Search, 95–111. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-44932-2_7.

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Teixeira, Ulisses Rezende, Marcone Jamilson Freitas Souza, Sérgio Ricardo de Souza, and Vitor Nazário Coelho. "An Adaptive VNS and Skewed GVNS Approaches for School Timetabling Problems." In Variable Neighborhood Search, 101–13. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-15843-9_9.

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Consoli, Sergio, Domenico Perrotta, and Marco Turchi. "Reduced Variable Neighbourhood Search for the Generation of Controlled Circular Data." In Variable Neighborhood Search, 83–98. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-69625-2_7.

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AbstractA number of artificial intelligence and machine learning problems need to be formulated within a directional space, where classical Euclidean geometry does not apply or needs to be readjusted into the circle. This is typical, for example, in computational linguistics and natural language processing, where language models based on Bag-of-Words, Vector Space, or Word Embedding, are largely used for tasks like document classification, information retrieval and recommendation systems, among others. In these contexts, for assessing document clustering and outliers detection applications, it is often necessary to generate data with directional properties and units that follow some model assumptions and possibly form close groups. In the following we propose a Reduced Variable Neighbourhood Search heuristic which is used to generate high-dimensional data controlled by the desired properties aimed at representing several real-world contexts. The whole problem is formulated as a non-linear continuous optimization problem, and it is shown that the proposed Reduced Variable Neighbourhood Search is able to generate high-dimensional solutions to the problem in short computational time. A comparison with the state-of-the-art local search routine used to address this problem shows the greater efficiency of the approach presented here.
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Wienke, Chris, Rachel B. Whaley, and Rick Braatz. "Are “Gay” and “Queer-Friendly” Neighborhoods Healthy? Assessing How Areas with High Densities of Same-Sex Couples Impact the Mental Health of Sexual Minority and Majority Young Adults." In The Life and Afterlife of Gay Neighborhoods, 181–200. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-66073-4_8.

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AbstractNeighborhoods with large concentrations of gay men, lesbians, and other sexual minorities have long served as places where sexual minority young adults find self-enhancing resources. Yet, it is unclear whether such neighborhood environments also confer health benefits. Using data from the National Longitudinal Study of Adolescent Health, we explored the relationship between the proportion of same-sex couples in neighborhoods and the mental health of sexual minority and majority young adults, controlling for other neighborhood- and individual-level factors. Results indicate that for sexual minorities, neighborhoods with higher percentages of same-sex couples are associated with lower levels of depression symptoms and higher levels of self-esteem. Conversely, for heterosexuals, there are no differences in health outcomes across neighborhood contexts. Taken together, the findings highlight the importance of striving for neighborhood-level understandings of sexual minority young adults and their mental health problems.
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Cruz-Chávez, Marco Antonio, Alina Martínez-Oropeza, Jesús del Carmen Peralta-Abarca, Martín Heriberto Cruz-Rosales, and Martín Martínez-Rangel. "Variable Neighborhood Search for Non-deterministic Problems." In Artificial Intelligence and Soft Computing, 468–78. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07176-3_41.

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Burke, Edmund, Patrick De Causmaecker, Sanja Petrovic, and Greet Vanden Berghe. "Variable Neighborhood Search for Nurse Rostering Problems." In Applied Optimization, 153–72. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-1-4757-4137-7_7.

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Pirkwieser, Sandro, and Günther R. Raidl. "Multilevel Variable Neighborhood Search for Periodic Routing Problems." In Evolutionary Computation in Combinatorial Optimization, 226–38. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12139-5_20.

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Jain, Siddhartha, and Pascal Van Hentenryck. "Large Neighborhood Search for Dial-a-Ride Problems." In Principles and Practice of Constraint Programming – CP 2011, 400–413. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23786-7_31.

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Arutyunov, Aram V. "Study of Mappings in a Neighborhood of an Abnormal Point." In Optimality Conditions: Abnormal and Degenerate Problems, 245–85. Dordrecht: Springer Netherlands, 2000. http://dx.doi.org/10.1007/978-94-015-9438-7_4.

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Conference papers on the topic "Neighborhood Problems"

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Fan, Sijia. "Resilient replicable school entrance design of Jiangu liveable neighborhood." In Post-Oil City Planning for Urban Green Deals Virtual Congress. ISOCARP, 2020. http://dx.doi.org/10.47472/pipd7351.

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Under the context of the “Jiangsu provincial livable neighborhood” construction, this people centric design proposal precisely starts from the congested and anxious problem during the pick‐ up time around the school entrance in Yaofangmen neighborhood, offers design solutions on different levels, to firstly solve the traffic congestion, to secondly solve the parents’ psychic anxiety and to finally reach the 24‐hr compound use of the school entrance space for the whole neighborhood. Meanwhile, the “Co‐create” design implementation mechanism is also analysed. This paper aims to offer a design and implementation methodology for the provincial‐wide neighborhoods to solve similar problems.
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Cruz-Chavez, Marco Antonio, Alina Martinez-Oropeza, and Sergio A. Serna Barquera. "Neighborhood Hybrid Structure for Discrete Optimization Problems." In 2010 IEEE Electronics, Robotics and Automotive Mechanics Conference (CERMA). IEEE, 2010. http://dx.doi.org/10.1109/cerma.2010.24.

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Liu, Feng, and Zheng Liu. "A Neighborhood-Based Value Iteration Algorithm for POMDP Problems." In 2018 IEEE 30th International Conference on Tools with Artificial Intelligence (ICTAI). IEEE, 2018. http://dx.doi.org/10.1109/ictai.2018.00126.

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Lo, Min-Hua, Yun-Chia Liang, and Jih-Chang Hsieh. "A modified variable neighborhood search algorithm for orienteering problems." In Industrial Engineering (CIE-40). IEEE, 2010. http://dx.doi.org/10.1109/iccie.2010.5668224.

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Li, Yang, Aimin Zhou, and Guixu Zhang. "Simulated annealing with probabilistic neighborhood for traveling salesman problems." In 2011 Seventh International Conference on Natural Computation (ICNC). IEEE, 2011. http://dx.doi.org/10.1109/icnc.2011.6022345.

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Liu, Hong, Zizhen Zhang, and Xiwang Guo. "Restricted Neighborhood Search for Large Scale Vehicle Routing Problems." In 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNSC). IEEE, 2019. http://dx.doi.org/10.1109/icnsc.2019.8743332.

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Duca, Anton, Laurentiu Duca, Gabriela Ciuprina, and Daniel Ioan. "Neighborhood Strategies for QPSO Algorithms to Solve Benchmark Electromagnetic Problems." In 8th International Conference on Evolutionary Computation Theory and Applications. SCITEPRESS - Science and Technology Publications, 2016. http://dx.doi.org/10.5220/0006040901480155.

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Paparrizou, Anastasia, and Kostas Stergiou. "On Neighborhood Singleton Consistencies." In Twenty-Sixth International Joint Conference on Artificial Intelligence. California: International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/102.

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CP solvers predominantly use arc consistency (AC) as the default propagation method. Many stronger consistencies, such as triangle consistencies (e.g. RPC and maxRPC) exist, but their use is limited despite results showing that they outperform AC on many problems. This is due to the intricacies involved in incorporating them into solvers. On the other hand, singleton consistencies such as SAC can be easily crafted into solvers but they are too expensive. We seek a balance between the efficiency of triangle consistencies and the ease of implementation of singleton ones. Using the recently proposed variant of SAC called Neighborhood SAC as basis, we propose a family of weaker singleton consistencies. We study them theoretically, comparing their pruning power to existing consistencies. We make a detailed experimental study using a very simple algorithm for their implementation. Results demonstrate that they outperform the existing propagation techniques, often by orders of magnitude, on a wide range of problems.
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Duca, Laurentiu-Cristian, Daniel Ioan, and Cornel Popescu. "Quantum-behaved PSO with neighborhood strategies for solving NDET inverse problems." In 2017 10th International Symposium on Advanced Topics in Electrical Engineering (ATEE). IEEE, 2017. http://dx.doi.org/10.1109/atee.2017.7905178.

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Kuliev, E. V., A. N. Dukkardt, V. V. Kureychik, and A. A. Legebokov. "Neighborhood research approach in swarm intelligence for solving the optimization problems." In 2014 East-West Design & Test Symposium (EWDTS). IEEE, 2014. http://dx.doi.org/10.1109/ewdts.2014.7027084.

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Reports on the topic "Neighborhood Problems"

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Sterns, Anthony, Ronni Sterns, Jeffrey Adler, Douglas Kline, and Scott Collins. The Neighborhood Covering Heuristic (NCH) Approach for the General Mixed Integer Programming Problem. Fort Belvoir, VA: Defense Technical Information Center, February 2004. http://dx.doi.org/10.21236/ada421653.

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Guo, Benqi, and Ivo Babuska. Regularity of the Solutions for Elliptic Problems on Nonsmooth Domains in R3. Part 2: Regularity in Neighborhoods of Edges. Fort Belvoir, VA: Defense Technical Information Center, March 1995. http://dx.doi.org/10.21236/ada301745.

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Rodier, Caroline, Andrea Broaddus, Miguel Jaller, Jeffery Song, Joschka Bischoff, and Yunwan Zhang. Cost-Benefit Analysis of Novel Access Modes: A Case Study in the San Francisco Bay Area. Mineta Transportation Institute, November 2020. http://dx.doi.org/10.31979/mti.2020.1816.

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The first-mile, last-mile problem is a significant deterrent for potential transit riders, especially in suburban neighborhoods with low density. Transit agencies have typically sought to solve this problem by adding parking spaces near transit stations and adding stops to connect riders to fixed-route transit. However, these measures are often only short-term solutions. In the last few years, transit agencies have tested whether new mobility services, such as ridehailing, ridesharing, and microtransit, can offer fast, reliable connections to and from transit stations. However, there is limited research that evaluates the potential impacts of these projects. Concurrently, there is growing interest in the future of automated vehicles (AVs) and the potential of AVs to solve this first-mile problem by reducing the cost of providing these new mobility services to promote access to transit. This paper expands upon existing research to model the simulate the travel and revenue impacts of a fleet of automated vehicles that provide transit access services in the San Francisco Bay Area offered over a range of fares. The model simulates a fleet of AVs for first-mile transit access at different price points for three different service models (door-to-door ridehailing and ridesharing and meeting point ridesharing services). These service models include home-based drop-off and pick-up for single passenger service (e.g., Uber and Lyft), home-based drop-off and pick-up for multi-passenger service (e.g., microtransit), and meeting point multi-passenger service (e.g., Via).
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