Workplace commute in Shanghai under post-pandemic rehabilitation: Health and fitness problems in planning and sustainability challenges

Abstract

The COVID-19 has changed people’s lifestyle from many aspects such as the way people commute and their attention to health and fitness, and environmental problems. This report is to understand how residents in Shanghai commute with difficulties and the environmental sustainability challenges and health issues in the post-pandemic rehabilitation background. Taking educational institution in Shanghai as example, this study applied big data techniques with kernel density, Ripley’s K(d) function and 2SFCA analysis to identify the spatial characteristics and accessibility of different institution types under different travel modes such as walking. The results show that the distribution is extremely uneven in Shanghai, area with extreme concentration is observed. In case of educational workplace, although the proportion of street-town with moderate or higher accessibility reached 74.34%, such proportion is only 41.01% for walking mode. Current planning has skewed commuting around educational sites towards more carbon-intensive travel patterns and not conducive for keeping fit and health. Besides, households located in the districts of Chongming, Qingpu and Jinshan commute much longer than those in other regions. Long commute time and less exercise may lead to the wider spread of disease and it’s harmful to residents’ health and sustainable living. In summary, the findings of this paper regarding commuting to educational sites provide a clearer understanding of the health and sustainability challenges for policymakers.

Exploring the Impacts of COVID-19 and Lockdown on Online Car-Hailing Travel in Shanghai

“…Silveira-Santos, Gonzalez [14] attempted to determine whether ride-hailing prices were affected due to the COVID-19 pandemic using time series forecasting and machine learning. Shen [15] studied the commute in Shanghai during post-pandemic rehabilitation and provided a clearer understanding of the health and sustainability challenges for policymakers. Yang [16] also proposed a collaborative use of location-based datasets, statistical datasets, and theoretical urban economic models to build a planning support framework.…”