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Coordinating the interaction between urbanization and land use multifunctionality (LUMF) is of great significance in regional sustainable development. This article explores the interaction relationship between urbanization and LUMF in the Han River Basin (HRB) of China from 2000 to 2018. We used the combination weighting method, coupling coordination degree model, and geographic detector method to examine the coupling relationship and internal mechanism between urbanization and LUMF. The results showed that (1) there exists a significant correlation between urbanization and LUMF, the coupling coordination degree of each county displayed an upward trend throughout the research period, and the whole region has a radiation effect of central cities ; (2) from the perspective of the internal mechanism of urbanization demand and the LUMF supply, we found that social urbanization demand is the primary demand for LUMF, while the town living function is the main supply of LUMF for urbanization, which means social urbanization has more influence than economic and population urbanization on LUMF, and the town living function has greater decisive power than agricultural production function and ecological function on urbanization ; and (3) the supply and demand-influencing factors between urbanization and LUMF in each sub-region are different, and the upstream is more susceptible to determinants than the midstream and downstream because of the worse natural resource endowment. In conclusion, the critical finding provides not only guidance to understand the relationship between urbanization and LUMF but also suggests that the government should adapt to local conditions when formulating regional development planning.

Studies on the factors affecting public risk perception of high-speed railway projects in Thailand are very limited. The aim of this study was to assess the influencing factors of public railway project risk perception, which described the public trust degrees of government, enterprise, media and experts with a combination of variables. Therefore, the study used the widely accepted influential factors and proposed a comprehensive framework to clarify the mechanism among various factors in the public risk perception. Dataset of 675 samples was collected from Don Muang area Bangkok, Pak Thong Chai, Pak Chong, Kaengkhoi area, and Nakhon Ratchasima Province, Thailand through questionnaire. Rationality of the questionnaire was ensured through its high reliability and efficiency. The dimension hypothesis of the second-order factor was validated by confirmatory factor analysis, and the relationship among information acquisition, trust, emotion and risk perception was analyzed through the structural equation model. The results show that, within the factors that affect risk perception, the public has a more direct effect on the factors of social emotion of railway projects compared with information acquirement and the factors of trust level of each subject. This study exerts practical implications to reduce public risk perception of railway projects and promote the development of railway in Thailand.

This study examined the influence of political capital on the migration behavior of peasant households in China's equitable urbanization. While existing research has proven that political capital can increase the wages of migrant workers, leading to a higher possibility of their rural-to-urban migration, the direct impact of political capital on migration behavior has not received sufficient attention. As China is one of the largest emerging economies, the impact of political capital on the economy and political transformation is typical. This paper reports a survey of 1120 farmer households from Xinxiang, a traditional agricultural area in central China. Using a binary logit model to test whether peasant households will migrate and a multinomial logit model to test where they will migrate to, this study examined whether political capital had a significant influence on the migration behavior of peasant households. The results suggest that the peasant households with political capital have a higher possibility of moving to urban areas, even though there is a better habitational option, namely, a new village in the local rural area. This suggests that reducing the difference in the political capital of migrants through policy propaganda and other methods is an efficient and effective way to achieve and improve equitable access to urbanization.

This paper studies how political cycles change the mix of industrial and residential land in urban land leasing. The mixture of different types of land leasing in cities affects urban landscape, resident welfare, and economic sustainability. Using prefecture-level panel data from China and statistical regressions, this paper finds that cities lease out 3% more industrial land, as a percentage of total annual urban land leasing, when their party committee secretaries have been in office for no more than two years. In the same period, they lease out 2% less residential land. This is explained by the strategic behaviors of party committee secretaries to increase their chances of political promotion. Urban land leasing fuels local economic performance and increases the chance of city leaders&rsquo ; promotion. While the economic benefits of residential land are immediate, those of industrial land cannot be reaped until two years later. This divided timeline results in more aggressive leasing of industrial land early on in party committee secretaries&rsquo ; service terms, and that of residential land later on. Mayors&rsquo ; service terms do not have the same effect. This political cycle distorts the temporal and spatial distributions of industrial and residential land in cities, and results in inefficient land use and unstable real estate markets.

Despite the emphasis on sustainability in post-disaster recovery plans (PDRPs), few studies have been conducted to investigate the information conveyed in disaster recovery plans in terms of sustainability. We aimed to investigate, in terms of sustainability, how post-disaster recovery plans can be improved from historical learning by examining local recovery plans that were developed and adopted after the Wenchuan and Lushan earthquakes, which are two representative post-disaster recovery cases in China. An evaluation protocol for sustainability issues was developed to analyze the recovery plans of the most severely affected counties and towns in Wenchuan (16 samples) and Lushan (7 samples). A comparative analysis was conducted to identify the similarities, differences, and evolution of sustainability considerations in these PDRPs. Semi-structured interviews with key informants were conducted to supplement the evaluation with qualitative data. The results show that the components and concepts of sustainability in PDRPs are conveyed and developed mostly by following the organization&rsquo ; s existing patterns and regulations. In contrast, some components are retained across plans, thereby suggesting a substantial general structure of recovery plans. The underlying logic of this experience transfer across plans was discussed. The findings can help local governments and planners to effectively incorporate sustainability into PDRPs.

AbstractIn the urbanisation stage of bilateral urban–rural interaction, China is adopting various policies to achieve rural revitalisation and provide diverse destinations to which farmers can migrate. Most previous studies have focused on urban destinations; thus, new countryside locations are not as well understood in this context. This study focused on first migration practices to examine new countryside destinations for farmers in China. This study established a conceptual framework to explain the diverse migration destination options based on three aspects: human capital, economic characteristics, and social characteristics. Based on survey data from farming households in a traditional agriculture area in Xinxiang, a multiple logit model was used to examine why new countryside destinations were adaptive first migration destinations. The results indicated that farmers were influenced by land capital and low initial household incomes. Specifically, many farmers were attracted to new countryside locations close to their original villages because of the need for cultivated land and farming, thus providing a logical first move in the rural–urban migration process. Poorer households were willing to first improve their living conditions in this way. This suggests that new countryside construction can help achieve rural revitalisation.