Research on Test Method of Foundation Bed Coefficient in Nanjing Soft Soil Area

Relying on the geotechnical engineering survey project of Nanjing Lukou Airport, this research adopts the method of combining in situ and indoor testing to analyze the coefficient of soil foundation under different conditions (flow plastic, plastic, and soft plastic). Based on the differences in test results, in situ and indoor test methods appropriate for the benchmark bed coefficient of Nanjing soft soil area are proposed. Research findings depicted that the bed coefficients obtained by different methods are not similar; therefore, if the data obtained by different methods need to be compared and analyzed, they have to be unified as K 30 . Simultaneously, in the indoor test, this study compared the foundation bed coefficient obtained by the consolidation method, the improved K 0 instrument consolidation method, and the triaxial method. Results revealed that the improved K 0 instrument consolidation method can better realize the test of the soil foundation coefficient. This study can provide a reference for geotechnical investigation and design of soft soil in the study area.

Development of a Methodology for the Transition to Information Modeling Technologies in Engineering Surveys (On the Example of Engineering and Environmental Surveys)

Information modeling technology also known as BIM is becoming an important part of working with data in various fields of activity. At the same time, there are still no specific recommendations for the transition to the use of digital models at the survey stage. Although engineering survey data is the basis for further actions within the life cycle of objects. The article characterizes the methodology for the modernization of engineering surveys in the context of information modeling, operating with the methods of systems analysis, foresight research and risk management. The combination of these methods allows you to identify ways of development and characterize them. All changes in the engineering survey system are described using the example of the engineering and environmental section. This is due to the fact that environmental engineering surveys use information from other sections of the survey and show reactions to changes in the system. The authors believe that under existing conditions, the most effective direction is the presentation of the results of engineering surveys in a standard form, provided that they are supplemented with a set of digital models by type of survey. In this case, it is assumed that the role of information modeling will gradually increase.

Evaluation of Parking Demand and Future Requirement in the Urban Area

Whatever vehicle is traveling, it needs to stop in order to arrive road users their different goals. In most universities, parking becomes an important campus resource, for being as a place to come frequently and to spend long period. Now days parking problems increase with repaid growth of car ownership. So traffic and parking impact can be consider as a major source of contention within any community and can raise additional costs for universities, as well as urban areas facilities. The study aims to evaluate the current parking situation on the university campus in terms of the available supply and required demand of parking spaces in order to recommend future parking spaces need for the next five years. Data has had been collected according to field traffic and engineering survey, Videography method was used for this purpose. Inventories, Interviews and questionnaires included. Data analysis conducted with the aided of AASHTO and equation methods. The study concluded future parking required is 140 vehicle- spaces for the year 2026, according to population rate of growth also illegal parking leads to interference with the movements of pedestrians and their crossing, as well as reducing the capacity of the roads in the study area. Doi: 10.28991/cej-2021-03091767 Full Text: PDF

Spatial-temporal analysis for the business performance of construction consultancy services in China

PurposeThis paper presents a developed spatial-temporal analysis framework for the case of investigating the business performance of construction consultancy services (CCS) in China.Design/methodology/approachThe spatial-temporal analysis is based on the data envelopment analysis (DEA) technique. The spatial analysis follows the DEA results under a contemporaneous benchmark technology and a virtual decision-making unit, consisting of ranking analysis, cluster analysis and variation analysis. The temporal analysis is reliant on the DEA results under a global benchmark technology and the time value of money, including trend analysis and driving force analysis containing pure technical and scale efficiency factors.FindingsThree CCS types in China are investigated, including engineering survey and design, construction supervision and procurement agency. The performance rank order and cluster classifications are mainly related to economic development levels. Engineering survey and design demonstrates the best performance and higher imbalances; however, construction supervision and procurement agency illustrate lower performance and imbalances. Scale efficiency significantly promotes business performance, whereas pure technical efficiency plays an inconspicuous role.Practical implicationsThe CCS promote technical efficiency by developing their service and innovation levels. The service of engineering survey and design registered in Beijing, Shanghai and Guangdong is recommended for entering the service market in China.Originality/valueThe spatial-temporal analysis framework was developed, which is generic and provides a pathway to measure, compare and assess performance comprehensively. The CCS business performance is firstly measured.