Chinese Journal of Urban and Environmental Studies

In this study, a statistical analysis of historical and projected values of the annual, seasonal, and supra-seasonal precipitation concentration index (PCI) was conducted for different stations in the Cheliff watershed. Statistical methods such as breakpoint and trend analysis using Pettitt and Mann–Kendall tests were used for the PCI values of annual, monthly, and supra-seasonal precipitation data between 1950 and 2014. The PCI values varied between 14.24% and 24.86% annually, between 10.75% and 18.74% seasonally, and between 11.23% and 26.98% supra-seasonally. According to the Pettitt and Mann–Kendall tests, there was an insignificant change in precipitation distribution during the study period. Spatial analysis using the inverse distance weighting (IDW) method confirmed the minor variability in precipitation distribution in the study area. The Pearson correlation coefficient between oscillation indices and PCI values at different scales showed significant values with the Mediterranean Oscillation index (MOi), North Atlantic Oscillation (NAO), and Western Mediterranean Oscillation index (WeMOi), highlighting their potential influence on annual PCI values. For the climate projection scenarios, projected PCI values align with historical PCI values. Application of Pettitt and Mann-Kendall tests to the projected PCI series shows that there will not be a significant change in future precipitation distribution.

Ecotourism potential is a fundamental research effort needed to promote sustainable regional tourism development, and scholars have paid greater attention to it in recent years, which has led to an increase in the publication of literature on this important and widely recognized topic. However, there is still no clear picture of the development direction of research on ecotourism potential. To address this issue, this study attempts to provide a comprehensive analysis of the existing research state in this field. This paper presents a more detailed review of ecotourism potential, a bibliometric analysis of 949 articles selected from 1,027 publications retrieved from the Web of Science Core Collection database, and a systematic descriptive and network analysis of the bibliometric data using the Biblioshiny tool. Here are some interesting findings: (1) research on the ecotourism potential in the academy started in 1992, with a rapid growth in the number of publications after 2013, with an overall interdisciplinary character and the emergence of a research community represented by Milcu, Balmford, Gallagher, and others; (2) ecotourism, conservation, tourism, management, and biodiversity are high-frequency keywords in this field, revealing the main research directions; (3) the development and evolution of research focus are mainly on three aspects: wildlife and biodiversity conservation, nature-based tourism and environmental values, and the modes and contributions of community participation. Future research should focus on the scientific references of ecotourism potential for promoting regional sustainable development. This paper sheds some light on the comprehensive bibliometric studies on ecotourism potential and improves our understanding of the evolution of this academic discourse theme over the last three decades.

Urban infrastructure is the lifeline and material foundation for the normal operation of cities. It is of great significance to accurately evaluate the resilience level of urban infrastructure and identify the main obstacle factors for the construction of resilient cities. This paper establishes an index system for urban infrastructure resilience evaluation from three dimensions: Pre-disaster prevention capacity, disaster resistance capacity, and post-disaster recovery capacity. It also uses the CRITIC method to determine the index weights and identifies the main obstacle factors based on the obstacle degree model (ODM). The results show that urban infrastructure resilience in China is generally low and varies greatly in terms of structure across provinces and municipalities. The main obstacle factors affecting urban infrastructure resilience include the capacities to conduct pre-disaster prevention and post-disaster recovery in the production and supply of electricity, gas and water, to construct infrastructure recovery projects, and to ensure energy supply and power supply. It is recommended to promote the application of the concept of “resilience” throughout the entire process of urban planning, construction and governance, understand the current situation of urban infrastructure, coordinate the investment of resources such as funding, manpower and technology, enhance the robustness and redundancy of urban infrastructure systems, actively optimize the layout of urban infrastructure, and continuously improve the application of intelligent technologies in infrastructure systems.

Neighborhoods and urban contexts are full of potential hidden inside them in an intangible form and can be used for their development and sustainability. Therefore, studying, discovering, and using them can help revive worn and historical textures. These mental factors include things not in the city’s outward appearance but in its heart and memory. The mindscape of the city includes everything that has meaning for its residents. Collective memories lead to strengthening their sense of belonging. The sense of belonging and collective memory is one factor that promotes social participation in the neighborhood and urban contexts. Social involvement is an efficient factor in facilitating neighborhood management, attracting investment, and helping environmental issues. Finally, it plays an influential role in sustaining life in urban contexts. Despite the plans that have been made to promote the sense of collective memory and increase the sense of belonging to the place, Chicago’s Bronzeville neighborhood has yet to achieve its growth and prosperity as in the past. Therefore, this paper focuses on studying how mindscape can help the sustainability and development of cities. The research method in this paper is based on document study, the review of documents related to prominent research in the fields of objective landscape, place identity, sense of place, and surface, and was carried out by descriptive-analytical research method. The method of collecting information is in two forms: documentary and field. Field information will be collected through two questionnaires (see Appendices A and B) from residents and experts. In this research, after reviewing and studying the documents and analyzing the field data, we present the proposed model of the influential factors of the mental landscape in the sustainability of urban contexts and draw the following conclusions: The concept of the mindscape holds significant importance in the context of creating sustainable cities and communities. It encompasses belonging, collective memories, and factors promoting social participation. Safeguarding and nurturing collective memory, the sense of place, belonging, and social participation are crucial in sustaining the mindscape and ensuring the long-term well-being of urban environments. By prioritizing these elements, cities and communities can foster a stronger connection between residents and their surroundings, resulting in a more vibrant and resilient urban fabric.

Based on global statistics, floods rank the first among natural disasters that severely disrupt human life, property, and the environment. Iran, as one of the flood-prone countries, is located in southwestern Asia. The geographical elevation, maritime influences, seasonal winds, and proximity to mountain ranges or deserts play a significant role in its daily and seasonal temperature fluctuations, as well as its precipitation patterns and types. According to official statistics in Iran, among climate-related hazards, some 70% of the annual funds of the Plan for Reducing the Effects of Natural Disasters have been spent on compensation for damages from floods. Yet, what augments the importance of floods and their damages is the fact that human and urban centers have been located in flood-prone areas. Therefore, considering the dense populations and financial capitals in such areas, it is necessary to assess the vulnerability of urban floods, especially in big cities like Ahvaz. This metropolis, as the capital of Khuzestan province, is located in the marshy plains with a population of over one million people. It is traversed by the country’s most water-rich river, the Karun. The aim of this study is to assess the vulnerability of Ahvaz from flood as a natural hazard and its coping capacity. The methodology of the study is descriptive-analytical and is based on its practical purpose. Fuzzy Hierarchy Model (Fuzzy Analytic Hierarchy Process) has been used for the spatial analysis of vulnerability and the capacity to deal with floods. In summary, the findings are as follows: (a) Considering the floods that have occurred in the past six decades and comparing the affected areas with the results of this research in terms of highly vulnerable areas in the central part of the city, the model used has shown high efficiency in determining the vulnerability caused by urban flooding. (b) As far as vulnerability is concerned, location and physical–environmental conditions stimulate and reinforce other factors which are influential in determining the level of vulnerability. (c) Encroachment on river boundaries, especially limiting the river width, leads to a reduction in flood capacity and an increase in vulnerability in those areas. (d) The vulnerability level of Ahvaz to flooding, based on area, falls within five categories of vulnerability spectrum as follows: Very High 4.6%, High 8.7%, Moderate 13.4%, Low 15.2%, and Very Low 58%.

Climate change poses mounting risks to agricultural development and rural livelihoods in Nigeria. This study investigates the impacts of climate change on agricultural sector employment in Nigeria. Agriculture provides income and sustenance for much of Nigeria’s rural population. However, smallholder rain-fed farming predominates, with minimal resilience to climate shifts. Historical data reveal rising temperatures and declining, erratic rainfall across Nigeria’s agro-ecological zones since the 1970s. Crop modeling predicts further climate changes will reduce yields of key staple crops. This threatens the viability of smallholder agriculture and risks widespread job losses. The study adopts a nonlinear autoregressive distributed lag (NARDL) modeling approach to evaluate climate change effects on agricultural sector employment in Nigeria from 1990 to 2020. Findings reveal reduced rainfall initially raises employment, as farming requires more labor in dry conditions. However, protracted droughts significantly reduce agricultural jobs. Increased temperatures consistently lower farm employment through reduced yields and incomes. Based on these findings, the study recommends that adaptive strategies are urgently needed to build resilience, promote climate-smart agriculture, and safeguard rural livelihoods.