Electric vehicles (EVs) have emerged as a transformative solution for reducing carbon emissions and promoting environmental sustainability in the automotive industry. However, the widespread adoption of EVs in the United States faces challenges, including high costs and unequal access to charging infrastructure. To overcome these barriers and ensure equitable EV usage, a comprehensive understanding of the intricate interplay among social, economic, and environmental factors influencing the placement of charging stations is crucial. This study investigates the key variables that contribute to demographic disparities in the accessibility of EV charging stations (EVCSs). We analyze the impact of various factors, including EV percentage, geographic area, population density, available electric vehicle supply equipment (EVSE) ports, electricity sources, energy costs, per capita and average family income, traffic patterns, and climate, on the placement of EVCSs in nine selected US states. Furthermore, we employ predictive modeling techniques, such as linear regression and support vector machine, to explore unique nuances in EVCS installation. By leveraging real-world data from these states and the identified variables, we forecast the future distribution of EVCSs using machine learning. The linear regression model demonstrates exceptional effectiveness, achieving 90% accuracy, 94% precision, 89% recall, and a 91% F1 score. Both graphical analysis and machine learning converge on a significant finding: Texas emerges as the most favorable state for optimal EVCS placement among the studied areas. This research enhances our understanding of the multifaceted dynamics that govern the accessibility of EVCSs, thereby informing the development of policies and strategies to accelerate EV adoption, reduce emissions, and promote social inclusivity.

Determining the type and properties of saturated groundwater for complex sedimentary facies, as well as the various properties of these sedimentary facies, requires extensive geological, hydrogeological, and geophysical studies. Therefore, identifying the different types of subsurface deposits and their physical properties as well as their geological, hydrogeological, and structural settings are the interesting features in this study which play an important role in achieving its objectives. To achieve these objectives, the Direct Current (DC) resistivity method and the Direct Current Time-Domain Induced Polarization (DC-TDIP) method were used. These two methods were applied because they are complementary methods, one of which is more accurate in sediments saturated with fresh water (the DC resistivity method) and the other in sediments saturated with salt water (DC-TDIP method). Also, the DC-TDIP method was applied to avoid ambiguity in the resistivity results, as well as their results were compared with the available geological and hydrogeological field data. Accordingly, 2D and 3D resistivity values were designed to describe the hydro-lithological environment of the recorded sediments, and their hydrogeoelectric properties and groundwater zones were also identified and divided. Also, 2D and 3D chargeability values were designed to distinguish between sediments, their depositional facies, and their saturated water properties. These values also succeeded in separating clay from non-clay layers, and clay layers from layers containing salt water. Therefore, it was found that the integration between the two methods helped in identifying and visualizing the characteristics of the sediments and determining their facies and their water content, which helped in understanding the complex sedimentary facies recorded in the study area as well as identifying the types and characteristics of groundwater contained in these facies. Therefore, it can be recommended to apply the previous methodology and include the two geophysical methods and their results to study complex facies deposits and determine their water content and type, especially in similar depositional environments that are located next to a source of salt water mixed with other types of water.

This paper challenges the fact that the absolute freedom for residents to locate themselves wherever they want can lead to sustainable cities. Urban sprawl is the corollary to this freedom. Urban sprawl has become a controversial issue. Lines of thought among academics, practitioners, and local authorities have been diverse. Some academics advocate the compact city as an antidote to urban sprawl, some scholars doubt the ability of conventional notions of containments to create sustainability, and others are fascinated by urban technologies and believe in the feasibility of these technologies, whereas local authorities impose policies, one after the other, without effective results. The problematic point is the absence of a comprehensive approach to undermining the urban sprawl sustainably. On the other hand, the physical urban compactness alone cannot meet containment aims. The study therefore study poses a question: Is there a theory or policy that can accommodate all of these ideas? This study attempts to find a sustainable compromise through a critical review of the impact of auto-mobility on urban affairs and to solve the dialectical contradictions between the protagonists of compactness and their counterparts who advocate urban sprawl. The review ends with a comparison between urban initiatives and theories related to auto-mobilities, and highlights the approaches to sustainable urbanism. The conclusion is that all classic planning theories have neglected the sociocultural impact on the urban realm, and that the current initiatives and mutual debates consider the resident just as a physical object who cannot contribute effectively to sustainable urban syntax. The study concludes that urban sprawl can also be a compacted zone if authorities ensure the equity of loci-services. Then, the preference for housing locations will not be a challenge to urban residents’ movements to settle closer to their work. In the end, the inhabitants will share in making an integrated and real urban containment.

Streetscape can be considered as a term “which can be used to clarify and explain the street's built-in and the basic structure, also it is known as the design of the visual appeal and quality of the street effect. A good tool for improving urban quality and establishing a feeling of place is design of streetscape. People's re-quirements for public areas have changed as internet usage has continued to expand. The numbers of people who use cars has increased a lot in Riyadh city. This leads to some problems in a direct and an indirect way, such as car accidents, traffic overcrowding, lack of services for bicyclists and pedestrians, weak social rela-tionships between the people, and high obesity levels. Reconsider design of streetscape in Riyadh city espe-cially in the era of digital information technology will revitalize regions by providing reshaping the urban experience toward higher livability that respond to and connect with onlookers in order to increase under-standing of onlookers' activities in the streets, promote their sense of place, and improve safety and livabil-ity in urban areas.. The presented study focuses on the qualitative approach that is according to the related theoretical exploration and research; so, this paper combines the design of streetscape with digital infor-mation technology, with new ideas of intelligent streetscape’s design for enhancing Riyadh city to make the user's life livable. The current paper ended with proposed strategic approaches and suggestions to enhance the city of Riyadh's streetscape style as an outcome of the theoretical research. Results indicated that streets, which contain a close combination with the resident’s daily life activities and the important consequences on their mental comfort, have not attracted any care in terms of academic research. This resulted in a failure in providing solid strategic approaches for intelligent design of streetscape in Riyadh city.