Sustainable Mobility in Smart Cities

Author(s):  
Annapaola Marconi ◽  
Enrica Loria

MaaS, with its user-centric vision aiming at more flexible, personalized, and on-demand mobility services, has a perspective to address the key sustainability challenges of the mobility of the future: transport solutions that are integrated, inclusive, and time-efficient, while containing the economic, social, and environmental costs. Civic engagement is a key success factor towards this objective: to fully embrace MaaS transformation, citizens need to feel part of the process. Gamification proved to be effective to raise citizens' awareness, encourage their participation, and promote a gradual but profound behavior change. These characteristics can be exploited by MaaS solutions to attract users and encourage the acceptance of tailored mobility plans. The chapter presents two successful cases of gamified systems aiming at promoting a more sustainable mobility, Play&Go and Kids Go Green; investigates the potential of gamified systems, in combination with MaaS solutions, in terms of citizens' engagement and behavior change; and discusses current limitations and future challenges.

Author(s):  
Beatriz Olalla-Caballero

Quality is a significant issue to consider when thinking about optimizing processes, improving the quality of services and products, increasing customer or client satisfaction, or just reducing costs that are related to waste or non-optimization in processes. E-environments and smart territories are not an exception, so, quality is a key success factor when considering and developing them. Quality has always been considered a part of the management system and processes in a company. Quality stands for the required perspective in the strategy of an enterprise and leads to accomplishing all quality requirements and goals previously defined in the company. There are several reasons why quality should be considered in an e-environment or a smart city.


The main purpose of this chapter is to outline the role and importance of innovativeness in the modern business environment, arguing that innovativeness has a central role for current and future success of organizations. The chapter emphases typical characteristics of a modern business environment and the future outlook, upon which we identify innovativeness as a key success factor for organizations operating in modern and turbulent environments, followed by a comprehensive background for understanding innovativeness. Next, the basic types of innovations are outlined, where we are going beyond traditional tangible output of innovation process, which is still much present in business practice. In the final sections a comprehensive framework for researching innovativeness is outlined, along with the needed shift in understanding of innovative behavior, from routine to innovative thinking, working and behavior.


1974 ◽  
Vol 19 (4) ◽  
pp. 334-334
Author(s):  
ROBERT C. CARSON
Keyword(s):  

2013 ◽  
Author(s):  
Melanie D. Hingle ◽  
Aimee Snyder ◽  
Naja McKenzie ◽  
Cynthia Thomson ◽  
Robert A. Logan ◽  
...  

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Evans K. Lodge ◽  
Annakate M. Schatz ◽  
John M. Drake

Abstract Background During outbreaks of emerging and re-emerging infections, the lack of effective drugs and vaccines increases reliance on non-pharmacologic public health interventions and behavior change to limit human-to-human transmission. Interventions that increase the speed with which infected individuals remove themselves from the susceptible population are paramount, particularly isolation and hospitalization. Ebola virus disease (EVD), Severe Acute Respiratory Syndrome (SARS), and Middle East Respiratory Syndrome (MERS) are zoonotic viruses that have caused significant recent outbreaks with sustained human-to-human transmission. Methods This investigation quantified changing mean removal rates (MRR) and days from symptom onset to hospitalization (DSOH) of infected individuals from the population in seven different outbreaks of EVD, SARS, and MERS, to test for statistically significant differences in these metrics between outbreaks. Results We found that epidemic week and viral serial interval were correlated with the speed with which populations developed and maintained health behaviors in each outbreak. Conclusions These findings highlight intrinsic population-level changes in isolation rates in multiple epidemics of three zoonotic infections with established human-to-human transmission and significant morbidity and mortality. These data are particularly useful for disease modelers seeking to forecast the spread of emerging pathogens.


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