BIG DATA IN SMART TRANSPORTATION PLANNING: TOWARDS AN APPLICABLE SMART SOCIO-ECONOMIC TRANSPORTATION PLATFORM IN HISTORICAL MEGA CITIES

WIT Transactions on the Built Environment Pub Date : 2022-11-28 DOI:10.2495/umt220021

Reem Bakri, Zeyad El-sayad, Ali F. Bakr

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引用次数: 0

Abstract

This paper aims to develop the feasibility of transportation big data in order to drive changes that impacts directly both government and citizens’ goals and objectives. The relevance is to face and develop transportation challenges in the down-town of historical mega-cities. A smart transportation platform is proposed that can manage huge amounts of big transportation data planning (BTDP) and give guidance to the urban authorities to make their municipalities smarter and digital, and to propose smart transportation building (STB) as part of smart digital city while preserving its historical identity. This paper proposed a developed framework for smart socio-economic indicator through transportation platform for city data harvesting. The results were able to classify major challenges facing users which revolving the socio-economic indicator; according to a surveying questionnaire on the historical downtown of Alexandria City in Egypt as an important historical mega-city; in order to set applicable solutions via using the Smart socio-economic transportation platform (S2TP).

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智慧交通规划中的大数据:面向历史特大城市适用的智慧社会经济交通平台

本文旨在开发交通大数据的可行性，以推动直接影响政府和公民目标的变化。其相关性在于面对和发展历史大城市市中心的交通挑战。提出了一种智能交通平台，可以管理大量的大交通数据规划(BTDP)，并指导城市当局使其城市更加智能化和数字化，并提出智能交通建筑(STB)作为智能数字城市的一部分，同时保留其历史身份。本文提出了一种基于交通平台的城市数据采集智能社会经济指标开发框架。结果能够对围绕社会经济指标的用户面临的主要挑战进行分类;根据对埃及亚历山大市历史中心作为重要的历史特大城市的调查问卷;通过智能社会经济交通平台(S2TP)制定适用的解决方案。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

WIT Transactions on the Built Environment

CiteScore

1.20

自引率

0.00%

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