Welcome to CEU 2023

6th International Conference on Civil Engineering and Urban Planning (CEU 2023)

January 21-22, 2023, Virtual Conference



Accepted Papers
How To Develop A Sustainable Sponge City PPP Project: A Case On XIAMEN, China

Ting Su, Department of Urban and Regional Planning, Chulalongkorn University, Bangkok, Thailand

ABSTRACT

To mitigate the disasters caused by extreme weather caused by climate change to cities, the Chinese government has proposed the implementation of sponge cities in recent years. However, the construction of sponge cities is characterized by large investment, long cycle and many risks. It is obviously difficult to implement the project only by relying on government investment. Therefore, Public-private Partnership (PPP) model is gradually applied to the construction of sponge cities. As a model of urban infrastructure implementation, PPP can greatly reduce the risks of stakeholders involved in the implementation of sponge cities in some aspects, and accelerate the construction of infrastructure in sponge cities. However, the PPP model has defects to some extent. This paper introduces the basic connotation of sponge city and the significance of applying PPP model to the construction of sponge city; Based on the project attribute and demand analysis of the sponge city, combined with the model characteristics and operation mechanism of the PPP model, through the case study of Xiamen sponge city PPP in China, enrich the key implementation points of the sponge city PPP model, so as to improve the general implementation framework of the sponge city PPP model, that is, identify the selection of social capital, value for money evaluation, financial affordability demonstration, operation mode, risk distribution, return mechanism The assessment and supervision mechanism has a strong reference role in further promoting the sponge city PPP model.

KEYWORDS

PPP, Sponge City, Critical Success Factors, Sustainability & Xiamen.


Analysis of Ordinary Buildings on the Island of Ischia (Italy) for a Seismic Impact Assessment

Francesca Linda Perelli, Daniela De Gregorio, Giulio Zuccaro, PLINIVS Study Centre, University of Naples Federico II, Italy

ABSTRACT

Ischia is a quiescent volcanic complex, characterized by several periods of activity, also of explosive typology. Each year, seismic stations detect few low-energy events, although in the past severe earthquakes occurred, causing extensive damage. The last significant seismic event, with a magnitude of 3.91, occurred on 21st August 2017, again in the municipality of Casamicciola. The hazard constituted by seismic phenomena is compounded by a high exposed value, in terms of population and buildings. From 1861 to today, the resident population has increased considerably, from 23,511 to 62,831 units, to which are added 4 million tourists a year. The high risk of the Ischia territory highlights the need to bring the sustainable planning at the centre of the debate, considering the vulnerability of the area. In this perspective, an application aimed at assessing the seismic impact scenario induced by a single seismic event is illustrated below. The aim is to show a methodological approach able to quantify the resources necessary for emergency planning and organization of operational intervention.

KEYWORDS

Seismic Risk, Seismic Impact, Buildings Vulnerability.


Predicting the Performance of Shear Wall Structures Using the Confidence-nets Model

Nourldaim F A Yagoub1,2, Wang Xuxin1,3, 1School of Civil Engineering, Southeast University, Nanjing 210096, China, 2Department of Civil Engineering, Faculty of Engineering Science, University of Nyala, Nyala, Sudan, 3Full Key Laboratory of Concrete and Prestressed Concrete Structures of Ministry of Education, Southeast University, Nanjing 210096, China.

ABSTRACT

The recent increase in earthquake engineering employs machine learning technologies to develop prediction models for structural behavior. A reinforced concrete shear wall is one of the most important structural parts of a structure for resisting lateral loads. However, predicting the behaviors of shear wall members and their influence on the structure has always been difficult. Recent studies suggest the use of artificial intelligence (AI) models in this field and considerable amount of attention in the earthquake engineering community, as they can map the complicated relationship between the anticipated damage and the input variables and have shown promising results. In this paper, we aim to push the accomplishments of AI models further by providing more reliable predictions supported by an estimate of a confidence score. Moreover, the proposed model is 185 times faster than the standard finite element analysis method. The model’s predictive performance is also compared with the FEM method.

KEYWORDS

Artificial intelligence, Reinforced concrete shear walls, Deformation capacity, Predictive modeling.


A Refocus on Ecological Disturbance and Climate Change in the Dynamics of Man’s History and Economic Development

Mululu Chirwa, Department of Geography and Environmental Studies, University of Zambia, Great East Road Campus, Lusaka Zambia

ABSTRACT

Man’s development in history has advanced alongside a trail of ecological ramifications and climate change. The earth has seen natural ecological shift and climate change in prehistoric times. However, the evolution of man has affected ecological stability. The paper seeks to reconcile the interplay of man’s history and development with ecological disturbance and climate change. It uses desk analysis to recollect data from global assessment reports and runs a One paired Sample Means t-Test, 1 tailed, 8 df, at Pearson Correlation value 0.458 and 0.5  level. Findings show that, there is global climate change, seen in global warming trends; and imbalance in ecological footprint, seen in depletion of air, water and land sinks. The t-Test reveals significant net loss of global forest cover. Also, there is correlation between development and ecological damage. The study recommends a refocus to sustainable means of development to preserve ecology and mitigate climate change.

KEYWORDS

Ecological Footprint, Climate Change, Sustainable Development, Environmental Management, Built Environment.


Study on Impact of Bicycle Lane Introduction at an Intersection Using Microsimulation

Ahmed Ferdous Nafis1 and Anika Tahsin2, 1Research Assistant, Department of Civil Engineering, Military Institute of Science and Technology, Mirpur Cantonment, Dhaka 1216, Bangladesh and 2Junior Site Engineer, BCL Associates Ltd., Mohakhali Commercial Area, Dhaka 1212, Bangladesh

ABSTRACT

Gulshan which is home to multiple foreign embassies and corporate offices contains one of the busiest intersections in Dhaka city, Gulshan-2. Around this intersection, roadways are congested with motorized and non-motorized vehicles. The objective of this study is to understand the effect of implementing a bicycle lane on the existing roadways, comparing the volume to capacity (V/C) ratio in both cases (existing and with bicycle lane) with a 5 year and 10-year forecast of the traffic. Two microsimulation models using VISSIM, one for the existing condition and the other considering bike lane were also created, thus comparing the Level of Service (LOS), Queue Length and Number of Stops per vehicle of both networks. The V/C ratio improves after implementing bicycle lanes by 10% on average along with a reduction in queue length and the number of stops per vehicle. Thus, LOS improves if bicycle lane is implemented in the roadway section.

KEYWORDS

Traffic Volume, Microsimulation, Level of Service, Queue Length, Volume-to-capacity ratio.


The Impact of Water Resource Management on Socio economic Development in High Barind Track Area of Rajshahi, Bangladesh

Jenifar Selim1, Sanjida Islam1, Md. Alif Uz Zaman1 and Nazia Hossain 2 and Dulal Sarker2, 1Department of Urban and Regional Planning, Rajshahi University of Engineering and Technology (RUET), Rajshahi-6204, Bangladesh and 2Assistant Professor and Lecturer, Department of Urban & Regional Planning, Rajshahi University of Engineering & Technology (RUET), Bangladesh

ABSTRACT

Proper water resource management is an important factor for poverty reduction, a sustainable environment, and economic development. The aim of the study is to observe the impact of water resource management on socio-economic development in a Barind Tract area. The objectives of the study are: (i)To identify the impact of social, economic, and physical aspects on thewater situation of the area. (ii) To identify the impact of water management on agriculture, livelihood, and socio-economic development. A village named “Dirgram” under the Godagari upazila of Rajshahi has been selected as study area. Mainly some important tools related to the study topic of Participatory Rural Appraisal (PRA) approach such as: formulation of focused group discussion, time line map, cause effect diagram, pair wise ranking, seasonal diagram, venn diagram and pie diagram are being used for primary data collection. The participants are local villagers, farmers and women. The study finds that though there are some obstructions in the current water management system but it has created a positive impact on the socio-economic development. This study will help the planners, researchers, policy makers, and government authority to take necessary steps in this sector.

KEYWORDS

Barind Tract, water resource management, socio-economic development, Participatory Rural Appraisal (PRA) tool. .