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Smart Cities seek to optimize their systems by increasing integration through approaches such as increased interoperability, seamless system integration, and automation. Thus, they have the potential to deliver substantial efficiency gains and eliminate redundancy. To add to the complexity of the problem, the integration of systems for efficiency gains may compromise the resilience of an urban system. This all needs to be taken into consideration when thinking about Smart Cities. The transportation field must also apply the principles and concepts mentioned above. This cannot be understood without considering its links and effects on the other components of an urban system. New technologies allow for new means of travel to be built, and new business models allow for existing ones to be utilized. This Special Issue puts together papers with different focuses, but all of them tackle the topic of smart mobility.
Technology: general issues --- History of engineering & technology --- city logistics --- cargo bike --- cargo cycle --- simulation --- geometrical model --- shopping mall --- concentrated sets of delivery locations --- bike delivery --- big data --- flow clustering --- intelligent transportation systems --- multi-source data analyses --- spatio-temporal data analyses --- user experience --- multi-criteria decision-making --- AHP/TOPSIS hybrid approach --- optimal site selection --- GeoSpatial data --- smart cities --- fire rescue service --- housing estates --- swept paths --- digital model --- cooperative systems --- evaluation methodology --- telematics --- functional evaluation --- impact assessment --- user acceptance --- traffic control --- urban tunnel --- integration --- city logistics --- cargo bike --- cargo cycle --- simulation --- geometrical model --- shopping mall --- concentrated sets of delivery locations --- bike delivery --- big data --- flow clustering --- intelligent transportation systems --- multi-source data analyses --- spatio-temporal data analyses --- user experience --- multi-criteria decision-making --- AHP/TOPSIS hybrid approach --- optimal site selection --- GeoSpatial data --- smart cities --- fire rescue service --- housing estates --- swept paths --- digital model --- cooperative systems --- evaluation methodology --- telematics --- functional evaluation --- impact assessment --- user acceptance --- traffic control --- urban tunnel --- integration
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The purpose of this Special Issue is to create an an academic platform whereby high-quality research papers are published on the applications of innovative AI algorithms to transportation planning and operation. The authors present their original research articles related to the applications of AI or machine-learning techniques to transportation planning and operation. The topics of the articles encompass traffic surveillance, traffic safety, vehicle emission reduction, congestion management, traffic speed forecasting, and ride sharing strategy.
History of engineering & technology --- autoencoder --- deep learning --- traffic volume --- vehicle counting --- CycleGAN --- bottleneck and gridlock identification --- gridlock prediction --- urban road network --- long short-term memory --- link embedding --- traffic speed prediction --- traffic flow centrality --- reachability analysis --- spatio-temporal data --- artificial neural network --- context-awareness --- dynamic pricing --- reinforcement learning --- ridesharing --- supply improvement --- taxi --- preventive automated driving system --- automated vehicle --- traffic accidents --- deep neural networks --- vehicle GPS data --- driving cycle --- micro-level vehicle emission estimation --- link emission factors --- MOVES --- black ice --- CNN --- prevention --- autoencoder --- deep learning --- traffic volume --- vehicle counting --- CycleGAN --- bottleneck and gridlock identification --- gridlock prediction --- urban road network --- long short-term memory --- link embedding --- traffic speed prediction --- traffic flow centrality --- reachability analysis --- spatio-temporal data --- artificial neural network --- context-awareness --- dynamic pricing --- reinforcement learning --- ridesharing --- supply improvement --- taxi --- preventive automated driving system --- automated vehicle --- traffic accidents --- deep neural networks --- vehicle GPS data --- driving cycle --- micro-level vehicle emission estimation --- link emission factors --- MOVES --- black ice --- CNN --- prevention
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The purpose of this Special Issue is to create an an academic platform whereby high-quality research papers are published on the applications of innovative AI algorithms to transportation planning and operation. The authors present their original research articles related to the applications of AI or machine-learning techniques to transportation planning and operation. The topics of the articles encompass traffic surveillance, traffic safety, vehicle emission reduction, congestion management, traffic speed forecasting, and ride sharing strategy.
History of engineering & technology --- autoencoder --- deep learning --- traffic volume --- vehicle counting --- CycleGAN --- bottleneck and gridlock identification --- gridlock prediction --- urban road network --- long short-term memory --- link embedding --- traffic speed prediction --- traffic flow centrality --- reachability analysis --- spatio-temporal data --- artificial neural network --- context-awareness --- dynamic pricing --- reinforcement learning --- ridesharing --- supply improvement --- taxi --- preventive automated driving system --- automated vehicle --- traffic accidents --- deep neural networks --- vehicle GPS data --- driving cycle --- micro-level vehicle emission estimation --- link emission factors --- MOVES --- black ice --- CNN --- prevention
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Smart Cities seek to optimize their systems by increasing integration through approaches such as increased interoperability, seamless system integration, and automation. Thus, they have the potential to deliver substantial efficiency gains and eliminate redundancy. To add to the complexity of the problem, the integration of systems for efficiency gains may compromise the resilience of an urban system. This all needs to be taken into consideration when thinking about Smart Cities. The transportation field must also apply the principles and concepts mentioned above. This cannot be understood without considering its links and effects on the other components of an urban system. New technologies allow for new means of travel to be built, and new business models allow for existing ones to be utilized. This Special Issue puts together papers with different focuses, but all of them tackle the topic of smart mobility.
city logistics --- cargo bike --- cargo cycle --- simulation --- geometrical model --- shopping mall --- concentrated sets of delivery locations --- bike delivery --- big data --- flow clustering --- intelligent transportation systems --- multi-source data analyses --- spatio-temporal data analyses --- user experience --- multi-criteria decision-making --- AHP/TOPSIS hybrid approach --- optimal site selection --- GeoSpatial data --- smart cities --- fire rescue service --- housing estates --- swept paths --- digital model --- cooperative systems --- evaluation methodology --- telematics --- functional evaluation --- impact assessment --- user acceptance --- traffic control --- urban tunnel --- integration --- n/a
Choose an application
The purpose of this Special Issue is to create an an academic platform whereby high-quality research papers are published on the applications of innovative AI algorithms to transportation planning and operation. The authors present their original research articles related to the applications of AI or machine-learning techniques to transportation planning and operation. The topics of the articles encompass traffic surveillance, traffic safety, vehicle emission reduction, congestion management, traffic speed forecasting, and ride sharing strategy.
autoencoder --- deep learning --- traffic volume --- vehicle counting --- CycleGAN --- bottleneck and gridlock identification --- gridlock prediction --- urban road network --- long short-term memory --- link embedding --- traffic speed prediction --- traffic flow centrality --- reachability analysis --- spatio-temporal data --- artificial neural network --- context-awareness --- dynamic pricing --- reinforcement learning --- ridesharing --- supply improvement --- taxi --- preventive automated driving system --- automated vehicle --- traffic accidents --- deep neural networks --- vehicle GPS data --- driving cycle --- micro-level vehicle emission estimation --- link emission factors --- MOVES --- black ice --- CNN --- prevention
Choose an application
Smart Cities seek to optimize their systems by increasing integration through approaches such as increased interoperability, seamless system integration, and automation. Thus, they have the potential to deliver substantial efficiency gains and eliminate redundancy. To add to the complexity of the problem, the integration of systems for efficiency gains may compromise the resilience of an urban system. This all needs to be taken into consideration when thinking about Smart Cities. The transportation field must also apply the principles and concepts mentioned above. This cannot be understood without considering its links and effects on the other components of an urban system. New technologies allow for new means of travel to be built, and new business models allow for existing ones to be utilized. This Special Issue puts together papers with different focuses, but all of them tackle the topic of smart mobility.
Technology: general issues --- History of engineering & technology --- city logistics --- cargo bike --- cargo cycle --- simulation --- geometrical model --- shopping mall --- concentrated sets of delivery locations --- bike delivery --- big data --- flow clustering --- intelligent transportation systems --- multi-source data analyses --- spatio-temporal data analyses --- user experience --- multi-criteria decision-making --- AHP/TOPSIS hybrid approach --- optimal site selection --- GeoSpatial data --- smart cities --- fire rescue service --- housing estates --- swept paths --- digital model --- cooperative systems --- evaluation methodology --- telematics --- functional evaluation --- impact assessment --- user acceptance --- traffic control --- urban tunnel --- integration --- n/a
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The analysis of big data in biomedical, business and financial research has drawn much attention from researchers worldwide. This collection of articles aims to provide a platform for an in-depth discussion of novel statistical methods developed for the analysis of Big Data in these areas. Both applied and theoretical contributions to these areas are showcased.
Information technology industries --- Computer science --- bandwidth selection --- correlation --- edge-preserving image denoising --- image sequence --- jump regression analysis --- local smoothing --- nonparametric regression --- spatio-temporal data --- linear mixed model --- ridge estimation --- pretest and shrinkage estimation --- multicollinearity --- asymptotic bias and risk --- LASSO estimation --- high-dimensional data --- big data adaptation --- dividend estimation --- options markets --- weighted least squares --- online health community --- social support --- network analysis --- cancer --- functional principal component analysis --- functional predictor --- linear mixed-effects model --- mobile device --- sparse group regularization --- wearable device data --- Bayesian modeling --- functional regression --- gestational weight --- infant birth weight --- joint modeling --- longitudinal data --- maternal weight gain --- transfer learning --- deep learning --- pretrained neural networks --- chest X-ray images --- lung diseases --- causal structure learning --- consistency --- FCI algorithm --- high dimensionality --- nonparametric testing --- PC algorithm --- fMRI --- functional connectivity --- brain network --- Human Connectome Project --- statistics
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The book “Community and Family-Focused Public Health and Sustainable Development” was originally published in the renowned International Journal of Environmental Research and Public Health. This Special Issue encompassed novel aspects of applications that are connected with sustainability issues in community and family-focused public health studies. Contributions have a significant impact on solving public health problems at the family and community levels. The Special Issue originally published scientific papers, including review articles, that fell under this Special Issue’s remit and that were relevant to audiences worldwide. Currently, the term “family health” is most commonly to describe mother and child health and reproductive health. It is rare for family health to include the family as an important context for health development and that includes all family members and the family’s social environment. Authors of scientific research covering issues related to the impact of the family and the environment in which the family lives and functions on its members’ health in the present and in the future were encouraged to contribute their work. In addition, we were especially interested in scientific reports on social, economic, and health inequalities in the context of achieving the sustainable development goals.
Public health & preventive medicine --- family --- living with children --- parenthood --- mother --- father --- self-rated health --- health behavior --- mental health --- Germany --- gut microbiome --- antimicrobial activity --- pathogen overgrowth --- smoking --- tobacco smoke --- exposure to tobacco smoke --- ETS --- anti-tobacco law --- hospitality venues --- quality of life --- the elderly --- seniors --- health --- cardiovascular diseases --- physical and psychological well-being --- health behaviors --- pregnancy --- rural area --- urban area --- CHEK2 --- MEN --- Cushing syndrome --- hypertension --- multiple endocrine glands tumors --- cervix uteri --- epidemiology --- screening --- mortality --- time trends --- east-central Europe --- depression --- bone markers --- osteocalcin --- β-CTX --- vitamin D --- metabolomics --- metabolites --- amino acids --- biomarkers --- asthma --- diagnosis --- children --- community health services --- postmodern education theories --- factor analysis --- genetic testing --- umbilical cord blood banking --- women health --- air pollution --- PM2.5 --- pregnancy outcomes --- sustainable development --- spatio-temporal data --- NUTS-1 --- kernel discriminant coordinates method --- super macroregions --- proteomics --- mass spectrometry --- MALDI-MSI --- tissue imaging --- ovarian tumors --- gestational diabetes mellitus --- diabetes --- obesity --- cesarean section --- health policy --- health inequalities --- healthcare access --- spatial distribution of the health situation --- cluster analysis --- functional discriminant coordinates --- multivariate functional coefficient of variation --- adenomyosis --- infertility --- GnRH --- in vitro fertilisation --- type 1 diabetes --- proteomic profile --- C4 complement --- PURE study --- noncommunicable diseases --- urban --- rural --- FRAP --- TBARS --- anaerobic threshold --- peakVO2 --- lifestyle --- training --- exercises --- intergenerational relations --- academic youth --- standardized questionnaire WHOQOL-BREF --- alcohol --- cohort study --- PURE --- pro-health behaviours --- anti-health behaviour --- prevention --- patient --- 50+ population --- chronic diseases --- special motor fitness --- speed --- flexibility --- endurance --- physical activity --- health training --- women --- WHOQOL-BREF questionnaire --- Bangladesh --- gender violence --- multidimensional poverty --- poverty reduction --- women’s empowerment --- color vision --- anomaloscope --- Moreland --- Rayleigh --- Hashimoto’s disease --- oxidative stress --- zinc --- copper --- child health --- child nutrition --- dairy --- food security --- food systems --- nutrition --- sustainability --- sustainable food systems --- working population --- Poland --- Ukraine --- spinal cord injury --- hematological parameters --- peak oxygen uptake --- sleep duration --- bedtime --- access to health care --- health care services --- hospital emergency departments --- spatial analysis --- public health management --- testosterone --- cortisol --- creatinine --- overtraining --- family --- living with children --- parenthood --- mother --- father --- self-rated health --- health behavior --- mental health --- Germany --- gut microbiome --- antimicrobial activity --- pathogen overgrowth --- smoking --- tobacco smoke --- exposure to tobacco smoke --- ETS --- anti-tobacco law --- hospitality venues --- quality of life --- the elderly --- seniors --- health --- cardiovascular diseases --- physical and psychological well-being --- health behaviors --- pregnancy --- rural area --- urban area --- CHEK2 --- MEN --- Cushing syndrome --- hypertension --- multiple endocrine glands tumors --- cervix uteri --- epidemiology --- screening --- mortality --- time trends --- east-central Europe --- depression --- bone markers --- osteocalcin --- β-CTX --- vitamin D --- metabolomics --- metabolites --- amino acids --- biomarkers --- asthma --- diagnosis --- children --- community health services --- postmodern education theories --- factor analysis --- genetic testing --- umbilical cord blood banking --- women health --- air pollution --- PM2.5 --- pregnancy outcomes --- sustainable development --- spatio-temporal data --- NUTS-1 --- kernel discriminant coordinates method --- super macroregions --- proteomics --- mass spectrometry --- MALDI-MSI --- tissue imaging --- ovarian tumors --- gestational diabetes mellitus --- diabetes --- obesity --- cesarean section --- health policy --- health inequalities --- healthcare access --- spatial distribution of the health situation --- cluster analysis --- functional discriminant coordinates --- multivariate functional coefficient of variation --- adenomyosis --- infertility --- GnRH --- in vitro fertilisation --- type 1 diabetes --- proteomic profile --- C4 complement --- PURE study --- noncommunicable diseases --- urban --- rural --- FRAP --- TBARS --- anaerobic threshold --- peakVO2 --- lifestyle --- training --- exercises --- intergenerational relations --- academic youth --- standardized questionnaire WHOQOL-BREF --- alcohol --- cohort study --- PURE --- pro-health behaviours --- anti-health behaviour --- prevention --- patient --- 50+ population --- chronic diseases --- special motor fitness --- speed --- flexibility --- endurance --- physical activity --- health training --- women --- WHOQOL-BREF questionnaire --- Bangladesh --- gender violence --- multidimensional poverty --- poverty reduction --- women’s empowerment --- color vision --- anomaloscope --- Moreland --- Rayleigh --- Hashimoto’s disease --- oxidative stress --- zinc --- copper --- child health --- child nutrition --- dairy --- food security --- food systems --- nutrition --- sustainability --- sustainable food systems --- working population --- Poland --- Ukraine --- spinal cord injury --- hematological parameters --- peak oxygen uptake --- sleep duration --- bedtime --- access to health care --- health care services --- hospital emergency departments --- spatial analysis --- public health management --- testosterone --- cortisol --- creatinine --- overtraining
Choose an application
The book “Community and Family-Focused Public Health and Sustainable Development” was originally published in the renowned International Journal of Environmental Research and Public Health. This Special Issue encompassed novel aspects of applications that are connected with sustainability issues in community and family-focused public health studies. Contributions have a significant impact on solving public health problems at the family and community levels. The Special Issue originally published scientific papers, including review articles, that fell under this Special Issue’s remit and that were relevant to audiences worldwide. Currently, the term “family health” is most commonly to describe mother and child health and reproductive health. It is rare for family health to include the family as an important context for health development and that includes all family members and the family’s social environment. Authors of scientific research covering issues related to the impact of the family and the environment in which the family lives and functions on its members’ health in the present and in the future were encouraged to contribute their work. In addition, we were especially interested in scientific reports on social, economic, and health inequalities in the context of achieving the sustainable development goals.
Public health & preventive medicine --- family --- living with children --- parenthood --- mother --- father --- self-rated health --- health behavior --- mental health --- Germany --- gut microbiome --- antimicrobial activity --- pathogen overgrowth --- smoking --- tobacco smoke --- exposure to tobacco smoke --- ETS --- anti-tobacco law --- hospitality venues --- quality of life --- the elderly --- seniors --- health --- cardiovascular diseases --- physical and psychological well-being --- health behaviors --- pregnancy --- rural area --- urban area --- CHEK2 --- MEN --- Cushing syndrome --- hypertension --- multiple endocrine glands tumors --- cervix uteri --- epidemiology --- screening --- mortality --- time trends --- east-central Europe --- depression --- bone markers --- osteocalcin --- β-CTX --- vitamin D --- metabolomics --- metabolites --- amino acids --- biomarkers --- asthma --- diagnosis --- children --- community health services --- postmodern education theories --- factor analysis --- genetic testing --- umbilical cord blood banking --- women health --- air pollution --- PM2.5 --- pregnancy outcomes --- sustainable development --- spatio-temporal data --- NUTS-1 --- kernel discriminant coordinates method --- super macroregions --- proteomics --- mass spectrometry --- MALDI-MSI --- tissue imaging --- ovarian tumors --- gestational diabetes mellitus --- diabetes --- obesity --- cesarean section --- health policy --- health inequalities --- healthcare access --- spatial distribution of the health situation --- cluster analysis --- functional discriminant coordinates --- multivariate functional coefficient of variation --- adenomyosis --- infertility --- GnRH --- in vitro fertilisation --- type 1 diabetes --- proteomic profile --- C4 complement --- PURE study --- noncommunicable diseases --- urban --- rural --- FRAP --- TBARS --- anaerobic threshold --- peakVO2 --- lifestyle --- training --- exercises --- intergenerational relations --- academic youth --- standardized questionnaire WHOQOL-BREF --- alcohol --- cohort study --- PURE --- pro-health behaviours --- anti-health behaviour --- prevention --- patient --- 50+ population --- chronic diseases --- special motor fitness --- speed --- flexibility --- endurance --- physical activity --- health training --- women --- WHOQOL-BREF questionnaire --- Bangladesh --- gender violence --- multidimensional poverty --- poverty reduction --- women’s empowerment --- color vision --- anomaloscope --- Moreland --- Rayleigh --- Hashimoto’s disease --- oxidative stress --- zinc --- copper --- child health --- child nutrition --- dairy --- food security --- food systems --- nutrition --- sustainability --- sustainable food systems --- working population --- Poland --- Ukraine --- spinal cord injury --- hematological parameters --- peak oxygen uptake --- sleep duration --- bedtime --- access to health care --- health care services --- hospital emergency departments --- spatial analysis --- public health management --- testosterone --- cortisol --- creatinine --- overtraining
Choose an application
The book “Community and Family-Focused Public Health and Sustainable Development” was originally published in the renowned International Journal of Environmental Research and Public Health. This Special Issue encompassed novel aspects of applications that are connected with sustainability issues in community and family-focused public health studies. Contributions have a significant impact on solving public health problems at the family and community levels. The Special Issue originally published scientific papers, including review articles, that fell under this Special Issue’s remit and that were relevant to audiences worldwide. Currently, the term “family health” is most commonly to describe mother and child health and reproductive health. It is rare for family health to include the family as an important context for health development and that includes all family members and the family’s social environment. Authors of scientific research covering issues related to the impact of the family and the environment in which the family lives and functions on its members’ health in the present and in the future were encouraged to contribute their work. In addition, we were especially interested in scientific reports on social, economic, and health inequalities in the context of achieving the sustainable development goals.
family --- living with children --- parenthood --- mother --- father --- self-rated health --- health behavior --- mental health --- Germany --- gut microbiome --- antimicrobial activity --- pathogen overgrowth --- smoking --- tobacco smoke --- exposure to tobacco smoke --- ETS --- anti-tobacco law --- hospitality venues --- quality of life --- the elderly --- seniors --- health --- cardiovascular diseases --- physical and psychological well-being --- health behaviors --- pregnancy --- rural area --- urban area --- CHEK2 --- MEN --- Cushing syndrome --- hypertension --- multiple endocrine glands tumors --- cervix uteri --- epidemiology --- screening --- mortality --- time trends --- east-central Europe --- depression --- bone markers --- osteocalcin --- β-CTX --- vitamin D --- metabolomics --- metabolites --- amino acids --- biomarkers --- asthma --- diagnosis --- children --- community health services --- postmodern education theories --- factor analysis --- genetic testing --- umbilical cord blood banking --- women health --- air pollution --- PM2.5 --- pregnancy outcomes --- sustainable development --- spatio-temporal data --- NUTS-1 --- kernel discriminant coordinates method --- super macroregions --- proteomics --- mass spectrometry --- MALDI-MSI --- tissue imaging --- ovarian tumors --- gestational diabetes mellitus --- diabetes --- obesity --- cesarean section --- health policy --- health inequalities --- healthcare access --- spatial distribution of the health situation --- cluster analysis --- functional discriminant coordinates --- multivariate functional coefficient of variation --- adenomyosis --- infertility --- GnRH --- in vitro fertilisation --- type 1 diabetes --- proteomic profile --- C4 complement --- PURE study --- noncommunicable diseases --- urban --- rural --- FRAP --- TBARS --- anaerobic threshold --- peakVO2 --- lifestyle --- training --- exercises --- intergenerational relations --- academic youth --- standardized questionnaire WHOQOL-BREF --- alcohol --- cohort study --- PURE --- pro-health behaviours --- anti-health behaviour --- prevention --- patient --- 50+ population --- chronic diseases --- special motor fitness --- speed --- flexibility --- endurance --- physical activity --- health training --- women --- WHOQOL-BREF questionnaire --- Bangladesh --- gender violence --- multidimensional poverty --- poverty reduction --- women’s empowerment --- color vision --- anomaloscope --- Moreland --- Rayleigh --- Hashimoto’s disease --- oxidative stress --- zinc --- copper --- child health --- child nutrition --- dairy --- food security --- food systems --- nutrition --- sustainability --- sustainable food systems --- working population --- Poland --- Ukraine --- spinal cord injury --- hematological parameters --- peak oxygen uptake --- sleep duration --- bedtime --- access to health care --- health care services --- hospital emergency departments --- spatial analysis --- public health management --- testosterone --- cortisol --- creatinine --- overtraining
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