The transmission of territorial spatial planning should cover all process of planning, implementation and supervision. Based on the three "needs" of modernization of territorial spatial governance, the paper analyzed the inadaptability of traditional spatial planning conduction. Starting from the whole chain governance logic of full-scale, whole-process and multiple dimensions, the paper constructed a transmission system of "three-chain coordination" and three paths of "spatial chain", "time chain" and "feedback chain" matching the territorial spatial planning needs and system in the new era, which include a closed-loop system for territorial spatial governance that covers the whole process of planning, implementation and supervision, a full-scale spatial transmission chain with clear authority from top to bottom, a full-process time transmission chain from core to edge oriented to implementation and a multi-dimensional feedback transmission chain with multiple co-governance and dynamic maintenance, in order to provide theoretical and practical reference for the transmission of territorial spatial planning.

The spatial pattern of living, producing and ecological spaces has a profound impact on regional ecosystem services and the well-being of the residents in rapidly urbanizing watersheds. However, few studies considered the relationship between ecosystem services and multiple stakeholders' well-beings. In this study, we selected seven ecosystem service indicators to identify living, producing and ecological hotspots in a typical urbanizing area, Baiyangdian watershed. Then we conducted a participatory mapping to integrate multiple stakeholders' needs into the identification of their major functions. The results show that overlapped hotspots occupy 14.5% of the total area of the watershed, which is dominated by overlapped producing and ecological functions. Furthermore, the identification of the major functions varies among different stakeholders. On the one hand, urban residents are more likely to identify the overlapped areas to living space because they prefer cultural services than rural residents. They mention cultural services twice of that by rural residents in the survey. On the other hand, policy makers pay more attention to the ecological function of the upper streams, while poverty alleviation workers focus on the producing function of the forests in this area. This study illustrates a method to integrate multi-stakeholders' preferences in spatial optimization, which can be used in the planning of the living-producing-ecological spaces and the territorial space planning.

To figure out the number and pattern of the vacant houses is essential for spatial planning and city examination & evaluation. However, the limitation of fine data and methods has been a big barrier to accurately identifying and revealing the dynamic pattern of vacant houses. This paper developed a computational model to identify the vacant houses and to calculate the residential housing vacancy rate (HVR) based on the monthly electricity consumption data from all the households in X county in 2019. The results showed that: (1) The HVR of X county was 21.64%, and 33.81% of households had been vacant in 2019. Meanwhile, the rate of the households that were vacant in Chinese New Year's Eve and had been vacant all the year was 19.97% and 11.45%, respectively. (2) The monthly HVR fluctuated regularly, with February, August at the bottom, and May and November at the peak. However, the HVR of February when China's traditional Spring Festival fell did not decline as much as we expected. (3) The village HVR had spatial autocorrelation attribute and the urban built-up areas were the hotspots which deserve more attention. (4) Being vacant all the year is the top one model among 1931 vacant types. The paper held the view that the mechanism of the vacant in X county is (1) the change of the form of population migration and mobility; (2) housing filtering which occurred in rural families, and (3) over "housing urbanization" in the urban built-up areas. We argue that identifying and sensing vacant houses are fundamental works in spatial planning. Meanwhile, spatial planning should react properly to the rural vacant houses and transform the goal from the expansion of land to rising the wellbeing of people. We need to pay much attention to the vacant houses in the city because it is a signal of the mistake in planning. The vacant identifying computational model and the research result are helpful to advance housing vacancy study, which is significant for spatial planning.