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Contemporary humanity is confronted with the development dilemma, especially in developing countries, of limited environmental capacity and increased pressure to protect the environment. Based on the concept of the Leading Functional Space Partition, this study identifies land-use conflicts in the urban fringes of ecologically fragile areas in Western China. The purpose is to explore the distribution characteristics of land-use conflicts in urban fringe areas and provide data references to solve a series of ecological and environmental problems inherent in the process of urbanisation. First, relevant software was applied to analyse the current situation of regional land use, and clustering was conducted in line with the goal of "production-living-ecology" to form territorial space zoning with the same function. Then, three leading function evaluation systems were constructed with natural patches of land as the unit to evaluate the current suitability. According to the evaluation results and relevant planning, areas with land-use conflicts were identified, and their spatial characteristics were analysed on this basis. The results demonstrate that the incidence of land-use conflicts in urban fringe areas is high and the spatial distribution presents variability. In the case, the incidence of land-use conflicts in urban fringe areas is very high, with the highest concentration in areas 10–30 km away from urban built-up areas. And the proportion of ecological conflicts in urban fringe areas is the highest. [ABSTRACT FROM AUTHOR]

Daily trip chain complexity and type choices of low-income residents are examined based on activity travel diary survey data in Nanjing, China. Statistical tests reveal that non-work trip chain complexity is distinctly distinct between low-income residents and non-low-income residents. Low-income residents are inclined to make simple non-work chains. Two types of econometric models, a stereotype logit model and mixed logit model, are then developed to investigate the possible explanatory variables affecting their trip pattern. The number of stops within a chain and chain types are considered as dependent variables, while independent variables include household and personal characteristics as well as land use variables. Results show that once convenient and flexible conditions are supplied, low-income residents are more likely to make multiple activities in a trip chain. Areas with high population and employment densities are associated with complex work trip chains and more non-work activity involvement. [ABSTRACT FROM PUBLISHER]