Search

Sustainable territorial spatial development faces severe challenges globally, especially the threats from rapid urbanization. It is important for territorial spatial planning in the new era to explore the principles, methodology and models for the territorial spatial optimization aiming sustainable urbanization from global and national perspectives. This paper rethink the spatial optimization for sustainable development by reviewing the literature on urbanization, spatial optimization and sustainable development. The results show that there is no readymade path for sustainable territorial spatial development, and sustainability should be the fundamental objective of territorial spatial optimization. Cases from the globe and China show that urban sprawl tends to make cities disperse, decline population density, and fall in a path dependency. Cities should be laid at the core of territorial spatial optimization. Chinese sustainable urbanization should be characterized by compact development, high-density, livable urban development, and low carbon. The concepts of sustainable urbanization oriented territorial spatial optimization include ecological protection, resource saving, intensive development, and green development, which forms the path of sustainable territorial spatial development. The modeling of territorial spatial optimization can be reconstructed from index system and quantification, setting of objectives, and constraint rules in a multi-objective collaborative optimization model. In this paper, we conclude that China has to build her own way of sustainable spatial development in accordance with the conditions of the nation, promoted by territorial spatial optimization with sustainable urbanization as a core. [ABSTRACT FROM AUTHOR]

With the development of China’s rail transit system, the transfer problem directly affects the convenience of hundreds of thousands of passengers day after day, and has become an important factor which affects the operation of public transportation systems. The problem of public transportation transfer should be “people-oriented” and analyzed from the time and space mode of passengers' transfer. Based on the smart card data (SCD) of Wuhan City in March 2015, this paper studies the time-space characteristics of passenger transfer, analyzes the current situation of rail transit development, and summarizes the transfor travel mode. The research results are as follows:① In the process of the development of rail transit in Wuhan, the imbalance of rail transit services has arisen and a single-center urban structure has emerged. ② The geographical characteristics of transfer behavior are related to the city’s own geographical pattern, and three factors which influence the transfer behavior are proposed. ③ Using intelligent bus card data, it can effectively identify the social behavior of passengers (transfer behavior) and the time and space mode of passengers traveling. This paper analyzes the spatiotemporal patterns of travel behaviors such as transfer behavior and urban planning and urban space utilization from the perspective of “people-oriented” based on the analysis of big data. [ABSTRACT FROM AUTHOR]