• Energy Research

Under the unprecedented wave of urbanization and pace of economic development, the living conditions of residents have been unevenly changed in Chinese cities. To understand the diversified living conditions in Chinese urban neighborhoods from the supply-side point of view, new spatial and residential data were gathered to investigate the social infrastructure configurations around the residential communities. Using Tianjin as a case study, the research focuses on six important categories of human needs: education, healthcare, leisure, culture, entertainment, and transportation. Based on the cumulative accessibility measurements of 25 types of facilities, the social infrastructure configurations within neighborhoods are statistically and spatially analyzed and compared. The study discovered that: (1) despite the great diversity of living conditions in the city, the neighborhoods that have better services and strong associations with entertainment and education are prominent; (2) the neighborhoods with advantageous living conditions in different aspects tend to cluster at different places; (3) the neighborhoods of different types of communities, belonging to different administrative districts, or in different urban zones, all have distinctive characteristics in living conditions.

As it is widely accepted, cycling tends to produce health benefits and reduce air pollution. Policymakers encourage people to use bikes by improving cycling facilities as well as developing bicycle-sharing systems (BSS). It is increasingly interesting to investigate how environmental factors influence the cycling behavior of users of bicycle-sharing systems, as users of bicycle-sharing systems tend to be different from regular cyclists. Although earlier studies have examined effects of safety and convenience on the cycling behavior of regular riders, they rarely explored effects of safety and convenience on the cycling behavior of BSS riders. Therefore, in this study, we aimed to investigate how road safety, convenience, and public safety affect the cycling behavior of BSS riders by controlling for other environmental factors. Specifically, in this study, we investigated the impacts of environmental characteristics, including population density, employment density, land use mix, accessibility to point-of-interests (schools, shops, parks and gyms), road infrastructure, public transit accessibility, road safety, convenience, and public safety on the usage of BSS. Additionally, for a more accurate measure of public transit accessibility, road safety, convenience, and public safety, we used spatiotemporally varying measurements instead of spatially varying measurements, which have been widely used in earlier studies. We conducted an empirical investigation in Chicago with cycling data from a BSS called Divvy. In this study, we particularly attempted to answer the following questions: (1) how traffic accidents and congestion influence the usage of BSS; (2) how violent crime influences the usage of BSS; and (3) how public transit accessibility influences the usage of BSS. Moreover, we tried to offer implications for policies aiming to increase the usage of BSS or for the site selection of new docking stations. Empirical results demonstrate that density of bicycle lanes, public transit accessibility, and public safety influence the usage of BSS, which provides answers for our research questions. Empirical results also suggest policy implications that improving bicycle facilities and reducing the rate of violent crime rates tend to increase the usage of BSS. Moreover, some environmental factors could be considered in selecting a site for a new docking station.