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In a rapidly changing world, it is necessary to increase the engagement of local authorities and stakeholders to make urban mobility cleaner and more sustainable. The best way is to combine great ideas and innovative measures with political support. This Special Issue consists of six articles analyzing the impact of SUMPs. Innovative measures have been proposed to change urban transport systems towards sustainability: Chinese research has analyzed the tourist flow of Tibet using innovative technologies: mobile phone data, visualizations using GIS, and social networks. Lithuanian authors proposed three autonomous car travel development concepts that should become a conceptual tool in the development of ITS and C-ITS. An English scientific paper is based on a review of local transport policy documents from 13 cities in four countries. Most cities seek to reduce car travel as a proportion of trips. Experience from Slovenia shows that the comprehensive traffic calming approach has positive effects and contributes to achieving sustainable mobility. Korean researchers used the GINI coefficient to evaluate the bus system to identify bus nodes in order of importance. The last article described that multicriteria decision-making methods have been successfully used for assessing the effectiveness of sustainable transport systems, and a universal evaluation model was proposed.

History of engineering & technology --- sustainable urban mobility --- SUMP --- mobility measures --- multicriteria decision making methods --- MCDM --- bus transportation system --- urban infrastructure --- network growth --- Gini coefficient --- complex systems --- comprehensive traffic calming --- active mobility --- travel behaviour --- quality of life --- traffic safety --- sustainable urban mobility planning --- sustainable urban mobility plan --- policy --- problematisation --- local transport --- mobility plan --- Sweden --- Great Britain --- Netherlands --- Germany --- development --- autonomous cars --- ITS and C-ITS --- public infrastructure --- Kendall method --- pattern --- social network analysis --- tourist flow --- visualization --- Tibet --- sustainable urban mobility --- SUMP --- mobility measures --- multicriteria decision making methods --- MCDM --- bus transportation system --- urban infrastructure --- network growth --- Gini coefficient --- complex systems --- comprehensive traffic calming --- active mobility --- travel behaviour --- quality of life --- traffic safety --- sustainable urban mobility planning --- sustainable urban mobility plan --- policy --- problematisation --- local transport --- mobility plan --- Sweden --- Great Britain --- Netherlands --- Germany --- development --- autonomous cars --- ITS and C-ITS --- public infrastructure --- Kendall method --- pattern --- social network analysis --- tourist flow --- visualization --- Tibet

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In a rapidly changing world, it is necessary to increase the engagement of local authorities and stakeholders to make urban mobility cleaner and more sustainable. The best way is to combine great ideas and innovative measures with political support. This Special Issue consists of six articles analyzing the impact of SUMPs. Innovative measures have been proposed to change urban transport systems towards sustainability: Chinese research has analyzed the tourist flow of Tibet using innovative technologies: mobile phone data, visualizations using GIS, and social networks. Lithuanian authors proposed three autonomous car travel development concepts that should become a conceptual tool in the development of ITS and C-ITS. An English scientific paper is based on a review of local transport policy documents from 13 cities in four countries. Most cities seek to reduce car travel as a proportion of trips. Experience from Slovenia shows that the comprehensive traffic calming approach has positive effects and contributes to achieving sustainable mobility. Korean researchers used the GINI coefficient to evaluate the bus system to identify bus nodes in order of importance. The last article described that multicriteria decision-making methods have been successfully used for assessing the effectiveness of sustainable transport systems, and a universal evaluation model was proposed.

sustainable urban mobility --- SUMP --- mobility measures --- multicriteria decision making methods --- MCDM --- bus transportation system --- urban infrastructure --- network growth --- Gini coefficient --- complex systems --- comprehensive traffic calming --- active mobility --- travel behaviour --- quality of life --- traffic safety --- sustainable urban mobility planning --- sustainable urban mobility plan --- policy --- problematisation --- local transport --- mobility plan --- Sweden --- Great Britain --- Netherlands --- Germany --- development --- autonomous cars --- ITS and C-ITS --- public infrastructure --- Kendall method --- pattern --- social network analysis --- tourist flow --- visualization --- Tibet

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This book compiles relevant expanded versions of the best articles presented at the Second Ibero-American Congress of Smart Cities (ICSC-CITIES 2019), published in the Special Issue “Mobility and IoT for the Smart Cities” in Smart Cities, MDPI. This book includes articles on urban mobility, as well as on integrated sensors in cities, two relevant subjects related to the development of modern smart cities moving towards sustainability.

History of engineering & technology --- Smart Cities --- inclusive transport --- smart bus stops --- mobility systems --- interconnected public spaces --- air pollution --- noise pollution --- low emissions zone --- pedestrianization --- sustainable mobility --- public transportation --- smart cities --- mobility plan --- railway --- Hyperloop --- power supply --- energy storage --- power electronics --- supercapacitors --- research network --- energy efficiency --- sustainability --- mobility --- IoT

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Nowadays, forecast applications are receiving unprecedent attention thanks to their capability to improve the decision-making processes by providing useful indications. A large number of forecast approaches related to different forecast horizons and to the specific problem that have to be predicted have been proposed in recent scientific literature, from physical models to data-driven statistic and machine learning approaches. In this Special Issue, the most recent and high-quality researches about forecast are collected. A total of nine papers have been selected to represent a wide range of applications, from weather and environmental predictions to economic and management forecasts. Finally, some applications related to the forecasting of the different phases of COVID in Spain and the photovoltaic power production have been presented.

Research & information: general --- Direct Normal Irradiance (DNI) --- IFS/ECMWF --- forecast --- evaluation --- DNI attenuation Index (DAI) --- bias correction --- nowcast --- meteorological radar data --- optical flow --- deep learning --- Bates-Granger weights --- uniform weights --- (REG) ARIMA --- ETS --- Hodrick-Prescott trend --- Google Trends indices --- Himalayan region --- streamflow forecast verification --- persistence --- snow-fed rivers --- intermittent rivers --- costumer relation management --- business to business sales prediction --- machine learning --- predictive modeling --- microsoft azure machine-learning service --- travel time forecasting --- time series --- bus service --- transit systems --- sustainable urban mobility plan --- bus travel time --- learning curve --- forecasting --- production cost --- cost estimating --- semi-empirical model --- logistic map --- COVID-19 --- SARS-CoV-2 --- PV output power estimation --- PV-load decoupling --- behind-the-meter PV --- baseline prediction --- Direct Normal Irradiance (DNI) --- IFS/ECMWF --- forecast --- evaluation --- DNI attenuation Index (DAI) --- bias correction --- nowcast --- meteorological radar data --- optical flow --- deep learning --- Bates-Granger weights --- uniform weights --- (REG) ARIMA --- ETS --- Hodrick-Prescott trend --- Google Trends indices --- Himalayan region --- streamflow forecast verification --- persistence --- snow-fed rivers --- intermittent rivers --- costumer relation management --- business to business sales prediction --- machine learning --- predictive modeling --- microsoft azure machine-learning service --- travel time forecasting --- time series --- bus service --- transit systems --- sustainable urban mobility plan --- bus travel time --- learning curve --- forecasting --- production cost --- cost estimating --- semi-empirical model --- logistic map --- COVID-19 --- SARS-CoV-2 --- PV output power estimation --- PV-load decoupling --- behind-the-meter PV --- baseline prediction