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Although urban growth boundaries (UGBs) have been employed as a planning tool in certain Western cities for decades, they have recently been adopted in Chinese cities to address urban sprawl. However, the effectiveness of UGBs in different types of Chinese cities, particularly those on flatlands versus mountains, has not been studied. This study aimed to compare the efficacy of UGBs in a city on flatlands (Chengdu, China) and a mountainous city (Chongqing, China). We used a deep learning architecture (U-Net) to project urban expansions in 2035 with the presence/absence of UGBs and landscape metrics to evaluate UGBs' effectiveness in mitigating urban sprawl. We found significant differences in historical urban expansion between Chengdu and Chongqing from 1992 to 2019. Chengdu experienced spillover sprawl under a monocentric-dominated urban form, while Chongqing witnessed leapfrog and piece-mall sprawl under a polycentric form. Despite the differences in UGBs designation, the simulations demonstrated that UGBs could mitigate urban sprawl in both cities in 2035, with Chengdu exhibiting more pronounced effectiveness. Notably, UGBs were more effective in controlling spillover sprawl in Chengdu, whereas they could effectively reduce leapfrog sprawl in Chongqing. However, UGBs were constrained by strict top-down land quotas, limiting their potential. These findings suggested that implementing UGBs should adopt differentiated goals and strategies for different types of cities. [ABSTRACT FROM AUTHOR]

The remains of industrial culture have been in place for hundreds of years and have gradually become the object of research for heritage protection and renewal. To assist in value assessment and planning for the reuse of urban industrial heritage, we built a concept model for value evaluation and renewal suitability evaluation based on the characteristics of the industrial heritage and by consulting experts. In addition, according to the characteristics of the evaluation index, we adopted a calculation of mixed qualitative and quantitative criteria and reasonably allocated weights. Thirty industrial heritage sites in the urban area of Chengdu, China, were selected as case studies; the results showed that there were clear differences in the value and renewal suitability of the industrial heritage sites. This study determined an evaluation model for the protection and reuse of industrial heritage and laid the foundations for future practical work. In addition, the Chengdu Industrial Heritage Database was constructed, to provide guidance on industrial heritage planning for decision makers. [ABSTRACT FROM AUTHOR]

Park-and-ride (P&R) and transit-oriented development (TOD) are two major strategies to leverage the high capacity of rail transit systems in urban areas. Both rooted in the station-area land, the two strategies must be reconciled in an integrated planning framework. To this end, a bilevel programming model is proposed to tackle the competitive location issue of P&R and TOD near rail transit stations: the upper level is a 0–1 programming model, simulating governmental land-use decision-making behavior with the objective of maximizing metro patronage and minimizing vehicle kilometers traveled, or minimizing vehicle hours of delay; and the lower level is the multimodal network equilibrium model, simulating travelers' responses and assigning traffic and passenger flows in the network. The traffic analysis zones containing rail stations are divided into transit station areas and auto-oriented zones. The household residential relocation model, accessibility quantitative model, and generation-distribution joint model are used to describe the complex interactions between transit system and land-use development near rail stations. A hypothetical scenario is designed to quantitatively analyze the impacts of different station-based land-use decisions and parameters of population and employment densities. A real case study is presented to illustrate the implementation of the proposed model. [ABSTRACT FROM AUTHOR]