Which Fabric/Scale Is Better for Transit-Oriented Urban Design: Case Studies in a Developing Country

Abdi, Mohammad Hamed; Soltani, Alì

doi:10.3390/su14127338

Cited by 10 publications

(3 citation statements)

References 63 publications

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“…This is related to the dual functions of transit stations, facilitating accessibility to mass transit and multi-modal connections (i.e., as a transit node) [72], but also characterized by mixed-use development, a diversity of architecture and planned open spaces (i.e., transit place). These functional characteristics of transit stations are the key reasons that they are able to be catalysts for increased urban development potential within a larger urban system resulting in higher development intensity and providing structure to urban form [73,78]. Accordingly, a railway station is not an ordinary station, rather, it is a place where various activities take place [79,80] and can completely affect the surrounding space and change the type and composition of established uses.…”

Section: Transport Infrastructurementioning

confidence: 99%

Driving Forces behind Land Use and Land Cover Change: A Systematic and Bibliometric Review

Allan

Soltani

Abdi

et al. 2022

Land

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This paper is based on reviewing the literature in the past 10 years on the drivers of land use and land cover change (LULCC) in urban areas. It combines quantitative and qualitative keyword analysis of papers drawn out from the Scopus database. The analysis is primarily based on the number of mentions of keywords in the titles and abstracts of the papers, in addition to the number of keywords appearing in the papers. On the basis of content analysis, a three-level structural categorization of the driving factors was developed. These are presented in a schematic diagram, where the contextual factors are shown as influencing economic and financial factors and policy and regulation, which in turn influences transportation investments and availability, and industrial and residential location choices. Transportation availability was seen as the most frequent factor identified in the literature. This research contends that LULCC is mostly determined by interactions among these four themes in a three-level structure, and on this basis, a model is presented that illustrates LULCC drivers based on local circumstances across the globe.

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Section: Transport Infrastructurementioning

confidence: 99%

Driving Forces behind Land Use and Land Cover Change: A Systematic and Bibliometric Review

Allan

Soltani

Abdi

et al. 2022

Land

Self Cite

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“…Government policies on street construction primarily focus on financial benefits, overlooking the need to improve street quality. The original social functions of the street are gradually being eroded by traffic functions, leading to the marginalization of pedestrians or their relocation to indoor environments [4]. As a result, street space faces a growing crisis of disorder.…”

Section: Introductionmentioning

confidence: 99%

Evaluating and Comparing Human Perceptions of Streets in Two Megacities by Integrating Street-View Images, Deep Learning, and Space Syntax

Lei,

Zhou,

Xue

et al. 2024

Buildings

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Street quality plays a crucial role in promoting urban development. There is still no consensus on how to quantify human street quality perception on a large scale or explore the relationship between street quality and street composition elements. This study investigates a new approach for evaluating and comparing street quality perception and accessibility in Shanghai and Chengdu, two megacities with distinct geographic characteristics, using street-view images, deep learning, and space syntax. The result indicates significant differences in street quality perception between Shanghai and Chengdu. In Chengdu, there is a curvilinear distribution of the highest positive perceptions along the riverfront space and a radioactive spatial distribution of the highest negative perceptions along the ring road and main roads. Shanghai displays a fragmented cross-aggregation and polycentric distribution of the streets with the highest positive and negative perceptions. Thus, it is reasonable to hypothesize that street quality perception closely correlates with the urban planning and construction process of streets. Moreover, we used multiple linear regression to explain the relationship between street quality perception and street elements. The results show that buildings in Shanghai and trees, pavement, and grass in Chengdu were positively associated with positive perceptions. Walls in both Shanghai and Chengdu show a consistent positive correlation with negative perceptions and a consistent negative correlation with other positive perceptions, and are most likely to contribute to the perception of low street quality. Ceilings were positively associated with negative perceptions in Shanghai but are not the major street elements in Chengdu, while the grass is the opposite of the above results. Our research can provide a cost-effective and rapid solution for large-scale, highly detailed urban street quality perception assessments to inform human-scale urban planning.

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“…Urban transportation has been plagued by issues that have repercussions for urban residents, including traffic congestion, pollution, noise, mortality from vehicle accidents, rising car ownership rates, and more [8][9][10]. AV technology appears to be able to help urban management tackle these issues, as it has the potential to drastically cut down on things like pollution, traffic congestion, transportation costs (including vehicle depreciation, energy, and fuel consumption), infrastructure maintenance, wasted parking space, and accidents.…”

Section: Introductionmentioning

confidence: 99%

Autonomous Vehicle Adoption in Developing Countries: Futurist Insights

et al. 2022

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In recent years, research into autonomous vehicles (AVs) has become highly popular in industrialized nations due to their importance in the future success of smart cities. Research on this mobility technology and the critical elements affecting its development in developing countries, however, has been rather limited. This paper aims to shed light on the most influential elements of AV adoption in developing nations. A structural analysis approach is used, based on the primary qualitative data—that was gathered via an expert-opinion poll utilizing the fuzzy Delphi with a snowballing method and engaging 25 experts in the field in two rounds—, in accordance with the tradition of futurist research. The analysis has led to the identification of 11 key factors, from the initial factor pool of 54, affecting AV adoption in the case study context of Iran. The results of the analysis revealed the following conclusions, that fall under the policy and legislation domain, and present the most significant issues impacting AV adoption: (a) Future orientation of government—consistency and of accountability of policies, the long-term vision of the government for developing AVs industry; (b) Managing the international sanctions for foreign investment, and; (c) Funding mega projects to enable AVs. The results indicate that the establishment of legislation and the formulation of government policy regarding the provision of infrastructure, investment, and credit allocation are crucial for the development of AVs in Iran and other developing nations with comparable characteristics.

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Which Fabric/Scale Is Better for Transit-Oriented Urban Design: Case Studies in a Developing Country

Cited by 10 publications

References 63 publications

Driving Forces behind Land Use and Land Cover Change: A Systematic and Bibliometric Review

Driving Forces behind Land Use and Land Cover Change: A Systematic and Bibliometric Review

Evaluating and Comparing Human Perceptions of Streets in Two Megacities by Integrating Street-View Images, Deep Learning, and Space Syntax

Autonomous Vehicle Adoption in Developing Countries: Futurist Insights

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