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• The distal relationship between Taipei's resource inflows and nonrenewable resource production in Taiwan was investigated. • Cross-scale emergy synthesis revealed the reliance of Taipei's resource inflows on Taiwan. • The demand of construction materials in Taipei's peri-urbanization is the underlying driving force of the development in Taipei's remote areas. Urbanization not only causes environmental changes in metropolitan regions but also influences the ecological and socioeconomic changes of distant land areas due to increasing demands on resource use and waste emissions. Previous studies on the assessment of urban systems have focused on the city or metropolitan areas under study. There is a need to incorporate urban land teleconnections to investigate the relationship between a city and distant land areas during the process of urbanization. This paper analyzes the teleconnection of the energy and material flows associated with Taipei's peri-urbanization and remote areas in Taiwan. The cross-scale emergy synthesis of Taipei and Taiwan was examined first to investigate the relationships of the material and energy flows between Taipei and Taiwan. The exploitation of non-renewable resources in Taiwan during the 1990s was driven mainly by the construction and development taking place in Taipei. Furthermore, compared with Taiwan, the Taipei area relies heavily on external resources. The results of the emergy evaluation of materials flows in Taipei indicated that 85% of the construction materials used were imported from other remote areas during the past 30 years. The use of construction materials in Taipei had a higher intensity in the city center during 1982–1992 and in the peri-urban area during 2002−2014. The results of the emergy synthesis indicated that urban land teleconnections exist between peri-urban areas of Taipei and other distant areas in Taiwan. [ABSTRACT FROM AUTHOR]

Abstract: Taipei City Government takes into consideration of the influence of urban environmental safety on tourism and government stability through the implementation of check mechanism to control the building safety. Additionally, the mayor carries out joint checking at non- residential occupancies by forming the Joint Committee of Public Safety in an attempt to warn building users about strict prohibition of illegal behaviors. Despite these efforts, the City Government still detects the need on the regulatory instruments due to the review on fire incidents taken place at non-residential occupancies over the last three years as well as the “fire risks of existing legal buildings under human behaviors on specific time and in specific space.” This paper explores into the fire safety management mechanism for government agencies at all levels and discovers that the assessment on the “total fire safety” can in fact reduce fire risks. Hence the concept of total fire safety should be carried out through different measures of fact-oriented thinking. The Joint Committee of Public Safety serves as the highest management agency for coordinating the fire safety within the city and actively carrying out fire safety work using the concept of “total fire safety” to help bring the fire safety methods for non-residential occupancies into full play [Copyright &y& Elsevier]

Abstract: This paper presents an approach which combines the orthogonal array experiment technique and an ant direction hybrid differential evolution algorithm (ADHDEOA) in determining the tilt angle for photovoltaic (PV) modules. In this study, an orthogonal array (OA) is first conducted to obtain the initial solution. Next, an ant direction hybrid differential evolution (ADHDE) is applied to search for a near optimum solution. The purpose of this research is to maximize the output power of the module. The sun’s position at any time and location was predicted by the mathematical procedure of Julian dating; then, the solar irradiation was obtained at each site under a clear sky. The searching for global optimal solution is applied to a practical experimental system. The results show that the annual optimal angle for the Taipei area is 23.18°; for Taichung, 22.32°; for Tainan, 21.62°; for Kaosiung, 20.83°; for Hengchung, 20.27°; for Hualian, 22.18°; and for Taitung, 20.89° in seven Taiwanese areas, and the actual best annual tilt angles are close to the computer simulation results. [Copyright &y& Elsevier]

• Comparison of nature-based climate adaptation across subtropical Asian cities; • Dense urban form and diverse governance structures in Asian cities compared to West; • Competences as organising framework to assess policy and skills for adaptation; • Capability to link government departments and sectors of society vital; • Further research needed for normative competence under different governance forms. Interest in nature-based approaches for climate change adaptation in cities is growing. Whilst there is a growing field of scholarship in a European and North America setting, research on the policy and governance of urban greenspace for climate adaptation in subtropical Asia is limited. Given the different development patterns, environmental characteristics and governance arrangements in subtropical cities, plus their comparatively large population and high climate risk, this is a significant knowledge gap. In response, this paper evaluates competences – skill sets, capabilities, and supporting policy and legislation – to enact adaptation through greenspace across different governance contexts; and assesses how international rhetoric on nature-based adaptation becomes localised to subtropical Asian city settings. We conduct interviews with stakeholders, plus review of relevant policy and city-specific research, for three cities with different governance and development contexts: Hanoi (Vietnam); Taipei (Taiwan); and Fukuoka (Japan). Across all three cases, we find that institutional structures and processes for connecting different remits and knowledge systems are a bigger challenge than a lack of appropriate policy or individuals with the required technical knowledge. However, opportunities for civil society participation and consideration of justice issues vary between the cities according to the socio-political context. These findings illustrate the value of individuals and organisations able to work across institutional boundaries in linking greenspace and adaptation agendas for subtropical Asian cities; and the importance of competence in collaboration with developers and civil society so that the rapid development or regeneration seen in subtropical Asian contexts does not tend towards green climate gentrification. More broadly, our findings show that the diverse nature of subtropical Asian cities means the role of greenspace in climate adaptation is likely to be context-specific, and thus that caution must be exercised against uncritically importing best practices from exemplar cases elsewhere. [ABSTRACT FROM AUTHOR]

Organic carbon (OC) and elemental carbon (EC) play important roles in various atmospheric processes and health effects. Predicting carbonaceous aerosols and identifying source contributions are important steps for further epidemiological study and formulating effective emission control policies. However, we are not aware of any study that examined predictions of OC and EC, and this work is also the first study that attempted to use machine learning and hyperparameter optimization method to predict concentrations of specific aerosol contaminants. This paper describes an investigation of the characteristics and sources of OC and EC in fine particulate matter (PM 2.5) from 2005 to 2010 in the City of Taipei. Respective hourly average concentrations of OC and EC were 5.2 μg/m3 and 1.6 μg/m3. We observed obvious seasonal variation in OC but not in EC. Hourly and daily OC and EC concentrations were predicted using generalized additive model and grey wolf optimized multilayer perceptron model, which could explain up to about 80% of the total variation. Subsequent clustering suggests that traffic emission was the major contribution to OC, accounting for about 80% in the spring, 65% in the summer, and 90% in the fall and winter. In the Taipei area, local emissions were the dominant sources of OC and EC in all seasons, and long-range transport had a significant contribution to OC and in PM 2.5 in spring. Image 1 • Machine learning and hyperparameter optimization method were used. • SOC contributed to OC in a range of 33–56% annually. • Local emissions were the dominant sources of OC and EC in all seasons. • Traffic emission was the major contribution to OC. • Long-range transport had a significant contribution to OC in the spring. [ABSTRACT FROM AUTHOR]

Pavement performance is a critical factor toward riding comfort experience and drastically affect traffic management and the safety of road users. Since road quality declines over time and current periodic inspection on a vast road network is laborious and costly to the authority. This paper proposes a participatory system to conduct pavement performance monitoring of a country-wide road network based on crowdsourcing spatiotemporal data. By conducting cloud computing of a statistical grading mechanism with respect to the vertical and lateral acceleration behavior, the perception of riding comfort, which has a high correlation with pavement quality, can be reflected faithfully based on the spatiotemporal data acquired from a smartphone-driven progressive web application. Moreover, a deep learning technique is leveraged to identify road anomalies from the on-site images for a cross-check mechanism, which ensures the reliability of the monitoring pavement conditions and facilitates the automation level of road anomaly labeling and documenting. The proposed pavement performance monitoring was validated by the road network of Taipei city, Taiwan, which rendered promising results with an accuracy up to 98% and a false positive rate smaller than 1.3% showing the practicality and adaptability in a complex road network. • Cost-efficient participatory system for pavement performance monitoring of a country-wide road network. • Uncertainties of vehicle types and driving speeds are considered in crowdsourcing spatiotemporal data processing. • A statistical grading mechanism with a self-contained knowledge to faithfully reflect the perception of riding comfort. • A cross-check mechanism between pavement monitoring and anomaly recognition to promote reliability. [ABSTRACT FROM AUTHOR]