RESUMEN
Persuasive information developed by smartphone applications is a potential tool that can be utilized in order to increase the effectiveness of the impact of pricing strategies on triggering sustainable travel mode choice behavior. In order to address the joint impacts of pricing strategies and persuasive information on habitual automobile commuters' travel mode shift responses, a stated-preference survey was conducted in Beijing's inner district, from which over 1000 responses were collected. Four separate multivariable multilevel logistic regression models were estimated for more and less habitual automobile commuters when subjected to congestion pricing and reward strategies. The model estimation results showed that the influence of persuasive information was more effective in promoting travel mode shifts among more habitual automobile commuters with regard to reward strategies compared to congestion pricing. The results also showed that the impact of sociodemographic characteristics, commuter travel characteristics, the amount of congestion pricing or monetary award, and types of persuasive information on travel mode shift decisions under these strategies were deemed to be significantly different between more and less habitual automobile commuters. These findings suggest that more effective reward strategies can be explored by providing personalized and differentiated travel feedback information (e.g., pollution emission information and physical activity information), particularly for less habitual automobile commuters. This study also provides some degree of insight regarding the question as to how to design future congestion pricing, i.e., with respect to formulating differentiated charge rates according to the travel characteristics of habitual automobile commuters, as well as in developing complementary persuasive information that focuses on addressing public acceptability and fairness rather than travel feedback information.
RESUMEN
There is currently an emerging discussion about the shifting frontiers of research in the field of urban and regional planning. This special section focuses on the new spatial planning paradigm from a theoretical and methodological development perspective. The six papers published in this special section contribute to and extend the spatial planning literature, specifically in relation to land use, ecology and urban geography. The main themes addressed by the papers are as follows: 1) advancing the theoretical development of the concept of new ruralism and its application as a spatial planning principle for sustainable development in rural areas of Korea;2) the significance of spatial adaptation and the resilience of healthcare systems in responding to the unprecedented hazards and health risks resulting from the COVID-19 pandemic in Abu Dhabi City, in the United Arab Emirates;3) transit-oriented development (TOD) and its spatial associations with the land use of low-density areas in the Keihanshin conurbation in Japan;4) estimating the land surface temperature to enhance understanding of changes in the landscape for residents of the Kolkata Metropolitan area in India, using a radiative transfer equation algorithm;5) how the ecological knowledge of local residents in Shiheung City in Korea, accessed via a spatial text mining approach, can be used to inform policy making;6) applying a Q methodology to investigate individuals' subjective views and perceptions of nature/natural features when visiting urban parks in Seoul, Korea. Bringing different types of theoretical and methodological perspectives together, this editorial concludes with a summary, critical discussion and suggestions for future research with regard to the new spatial planning paradigm.
RESUMEN
Coronavirus disease 2019 (COVID-19) pandemic has run rampant across the world, with a rapid transmission rate and a high infection rate. With the advantages of portability, easy sterilization, and multiple diagnostic mode, ultrasound can dynamically guide the diagnosis of pneumonia in COVID-19 patients, monitor patients’ medical conditions, and facilitate the treatment evaluation for the adjustment of therapeutic decision-making. Moreover, ultrasonic remote consultation can be carried out by intelligent ultrasonic equipment with the support of 4G/5G network. Ultrasonic experts can perform real-time scanning through remote operation of ultrasonic robot manipulators, which can effectively relieve the shortage of ultrasonic doctors in isolation wards and reduce infection risks. At present, ultrasound is the only visual imaging device that can be brought into isolation wards for bedside examination of COVID-19 patients. This article analyzes the application value of ultrasound technology in the examination, diagnosis, medical condition monitoring, and treatment evaluation of lung injury and even systemic multiple organ diseases in COVID-19 patients, and discusses the application prospect of remote ultrasound and artificial intelligence in the relevant fields.