Conceptualizing and Realizing A Smart City Model for Bangladesh

• URL: http://arxiv.org/abs/2012.03055v1
• Date: Sat, 5 Dec 2020 15:34:04 GMT
• Title: Conceptualizing and Realizing A Smart City Model for Bangladesh
• Authors: Nafees Mansoor
• Abstract summary: The projected population of Bangladesh will exceed 180 million in 2026. Dhaka has already been labeled as the most densely populated city in the world. The proposed framework identifies seven components and services for smart cities in Bangladesh.
• Score: 1.637145148171519
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: The outbreak of the novel Corona Virus in 2019, named COVID-19, causes the ongoing global pandemic. This pandemic has a devastating socio-economic impact across the globe. On the other hand, due to the pre-pandemic aggressive urbanization with the steep population growth, modern cities also facing substantial challenges. Hence, usage of technology is anticipated to be the precondition for adaptive, resilient, and sustainable development, where, a smart city is defined as the accumulated advanced ideas of information and technology aiming to ensure a decent quality of life for the inhabitants. Considering the current growth rate of 1.9 percent, the projected population of Bangladesh will exceed 180 million in 2026. It is also speculated that Dhaka being the capital will be populated with 14 million inhabitants. Moreover, Dhaka has already been labeled as the most densely populated city in the world. Thus, concerned authorities are facing enormous challenges to provide and ensure fundamental services to the in-habitants. Therefore, this has become the need of the hour to conceptualize an information and communication technology-driven smart city for Bangladesh. A smart city may contain numerous components; however, the proposed framework identifies seven components and services for smart cities in Bangladesh. These are healthcare, education, transportation, public safety, real estate, utilities, and city administration. Discussions on these components are carried out in this paper.

Related papers

• When Circular Economy Meets the Smart City Ecosystem: Defining the Smart and Circular City [0.0]
  We argue toward expanding the current smart city definition by integrating the circular economy as one of its central pillars. We discuss the ways a smart and circular city encompasses both sustainability and smartness in an integral manner. Previous research in smart cities and technologies, such as those related to Industry 4.0, can serve as a cornerstone to implement circular economy activities within cities.
  arXiv  Detail & Related papers  (2024-10-29T13:00:50Z)
• MetaUrban: An Embodied AI Simulation Platform for Urban Micromobility [52.0930915607703]
  Recent advances in Robotics and Embodied AI make public urban spaces no longer exclusive to humans. Micromobility enabled by AI for short-distance travel in public urban spaces plays a crucial component in the future transportation system. We present MetaUrban, a compositional simulation platform for the AI-driven urban micromobility research.
  arXiv  Detail & Related papers  (2024-07-11T17:56:49Z)
• Smart Cities and Villages: Concept Review and Implementation Perspectives in Developing Cities [0.0]
  The "Smart City" (SC) concept has been around for decades with deployment scenarios revealed in major cities of developed countries. This paper presents a review of the SC concept from the perspective of its application to cities in developing nations. We propose a conceptual model for a SC initiative in Africa and demonstrate the need to prioritize research and capacity development.
  arXiv  Detail & Related papers  (2024-02-14T16:18:56Z)
• Smart City Drivers and Challenges in Urban-Mobility, Health-Care, and Interdependent Infrastructure Systems [8.21623513853025]
  The quest for smarter cities has become a priority agenda. The 2008 financial crisis, the exodus from rural areas, and the densification of urban centers have posed enormous challenges to municipalities all over the globe. Almost all of this population growth will occur in urban areas and, consequently, stress already overloaded transportation systems.
  arXiv  Detail & Related papers  (2022-11-26T19:49:18Z)
• Urban form and COVID-19 cases and deaths in Greater London: an urban morphometric approach [63.29165619502806]
  The COVID-19 pandemic generated a considerable debate in relation to urban density. This is an old debate, originated in mid 19th century's England with the emergence of public health and urban planning disciplines. We describe urban form at individual building level and then aggregate information for official neighbourhoods.
  arXiv  Detail & Related papers  (2022-10-16T10:01:10Z)
• An Evolutionary Note on Smart City Development in China [4.011821466084094]
  The smart city concept was quickly adopted by major cities throughout the world. The driving forces of the smart city development in China are investigated. Four big challenges to build future smart cities are discussed.
  arXiv  Detail & Related papers  (2022-03-24T16:44:19Z)
• Multi-Layered Diagnostics for Smart Cities [1.0828616610785522]
  Smart cities use technology to improve traffic patterns, energy distribution, air quality and more. The elements of a smart city can increase the convenience for its citizens, by integrating IT technology into many aspects of citizen interaction. Actual deployment cases exist in U.S., Europe, Singapore, and South Korea.
  arXiv  Detail & Related papers  (2021-07-20T06:58:11Z)
• Transportation Density Reduction Caused by City Lockdowns Across the World during the COVID-19 Epidemic: From the View of High-resolution Remote Sensing Imagery [48.52477000522933]
  The COVID-19 epidemic began to worsen in the first months of 2020. stringent lockdown policies were implemented in numerous cities throughout the world to control human transmission and mitigate its spread. We provide a quantitative investigation of the transportation density reduction before and after lockdown was implemented in six epicenter cities.
  arXiv  Detail & Related papers  (2021-03-02T13:45:16Z)
• C-Watcher: A Framework for Early Detection of High-Risk Neighborhoods Ahead of COVID-19 Outbreak [54.39837683016444]
  C-Watcher aims at screening every neighborhood in a target city and predicting infection risks, prior to the spread of COVID-19 from epicenters to the city. C-Watcher collects large-scale long-term human mobility data from Baidu Maps, then characterizes every residential neighborhood in the city using a set of features based on urban mobility patterns. We carried out extensive experiments on C-Watcher using the real-data records in the early stage of COVID-19 outbreaks.
  arXiv  Detail & Related papers  (2020-12-22T17:02:54Z)
• Smart Urban Mobility: When Mobility Systems Meet Smart Data [55.456196356335745]
  Cities around the world are expanding dramatically, with urban population growth reaching nearly 2.5 billion people in urban areas and road traffic growth exceeding 1.2 billion cars by 2050. The economic contribution of the transport sector represents 5% of the GDP in Europe and costs an average of US $482.05 billion in the U.S.
  arXiv  Detail & Related papers  (2020-05-09T13:53:01Z)
• Measuring Spatial Subdivisions in Urban Mobility with Mobile Phone Data [58.720142291102135]
  By 2050 two thirds of the world population will reside in urban areas. This growth is faster and more complex than the ability of cities to measure and plan for their sustainability. To understand what makes a city inclusive for all, we define a methodology to identify and characterize spatial subdivisions.
  arXiv  Detail & Related papers  (2020-02-20T14:37:46Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.