ABSTRACT
Management of crowd information in public transportation (PT) systems is crucial, both to foster sustainable mobility, by increasing the user's comfort and satisfaction during normal operation, as well as to cope with emergency situations, such as pandemic crises, as recently experienced with coronavirus disease (COVID-19) limitations. This article presents a taxonomy and review of sensing technologies based on the Internet of Things (IoT) for real-time crowd analysis, which can be adopted in the different segments of the PT system (buses/trams/trains, railway/metro stations, and bus/tram stops). To discuss such technologies in a clear systematic perspective, we introduce a reference architecture for crowd management, which employs modern information and communication technologies (ICTs) in order to: 1) monitor and predict crowding events;2) implement crowd-aware policies for real-time and adaptive operation control in intelligent transportation systems (ITSs);and 3) inform in real time the users of the crowding status of the PT system, by means of electronic displays installed inside vehicles or at bus/tram stops/stations and/or by mobile transport applications. It is envisioned that the innovative crowd management functionalities enabled by ICT/IoT sensing technologies can be incrementally implemented as an add-on to state-of-the-art ITS platforms, which are already in use by major PT companies operating in urban areas. Moreover, it is argued that, in this new framework, additional services can be delivered to the passengers, such as online ticketing, vehicle access control and reservation in severely crowded situations, and evolved crowd-aware route planning. © 2001-2012 IEEE.
ABSTRACT
The COVID-19 pandemic has shocked the world due to its pronounced mortality rate, rapid worldwide spread, and profound socioeconomic effects across all societies. As the spearhead of urban policies, local governments play an important role in crisis management during the pandemic. In the context of smart cities, innovative solutions have been required, especially to improve the local government's capacity to manage health crises. This study asks whether smart cities perform better in governing the COVID-19 pandemic. This article focuses on how urban governance impacted cities' performance in dealing with the COVID-19 pandemic. Using a city-level data set from Indonesia, we constructed a COVID-19 response performance index using principal component analysis that is used in an empirical strategy with quasi-experimental cross-sectional methods to minimize the influence of unobserved covariates and selection bias. This study concludes that smart city status does not have a statistically significant impact on the COVID-19 performance index. We offer three possible accounts based on expert insights, previous empirical studies, and digital upshots on data monitoring and reporting cases. Both theoretical and practical implications can be drawn, thus highlighting the lack of effective integration of technological dimensions into health and urban governance systems in the context of a public health crisis.
ABSTRACT
In the last decade, e-commerce has been growing consistently. Fostered by the covid pandemic, online retail has grown exponentially, particularly in industries including food, clothing, groceries, and many others. This growth in online retailing activities has raised critical logistic challenges, especially in the last leg of the distribution, commonly referred to as the Last Mile. For instance, traditional truck-based home delivery has reached its limit within metropolitan areas and can no longer be an effective delivery method. Driven by technological progress, several other logistic solutions have been deployed as innovative alternatives to deliver parcels. This includes delivery by drones, smart parcel stations, robots, and crowdsourcing, among others. In this setting, this paper aims to provide a comprehensive review and analysis of the latest trends in last-mile delivery solutions from both industry and academic perspectives (see Figure 1 for overview). We use a content analysis literature review to analyse over 80 relevant publications, derive the necessary features of the latest innovation in the last mile delivery, and point out their different maturity levels and the related theoretical and operational challenges. (Figure presented.). © 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
ABSTRACT
In the era of COVID-19, planners, and more broadly, city administrators and policy makers, have learned to cope with the accelerated pace of change, the broad band of uncertainty, and the need for rapid decision-making strategies. In the context of ever more diverse communities and greater reliance on technology as an effective response to the social and public health challenges of the pandemic, "smart" cities harness distributed communication and service delivery technologies to enhance the quality of urban life. The voices of citizens from marginalized and under-served populations, such as older adults and people with disabilities, are vital to the development of inclusive smart cities. In this paper, expanding an inclusive policy design approach is proposed that uses `personas' to actively engage those citizens.