Analysis of Urban Drivable and Walkable Street Networks of the ASEAN Smart Cities Network

Abstract

Making transport systems sustainable is a topic that has attracted the attention of many researchers and urban planners. The Association of Southeast Asian Nations (ASEAN) Smart Cities Network (ASCN) was initiated to develop a sustainable transport system in the ASEAN countries. A comprehensive understanding of street networks (SNs) can contribute significantly to the achievement of this initiative. Therefore, this paper measured and compared characteristics of drivable street networks (DSNs) and walkable street networks (WSNs) of the 26 ASCN pilot cities by applying multiple network metrics. The OSMnx tool was used to download and analyse WSNs and DSNs from the OpenStreetMap. The findings present the topological and geometric characteristics of WSNs and DSNs that are diverse and characterized by different factors. The cities with orthogonal street grids, high street density, intersection density, and fewer cul-de-sacs have good accessibility to reach destinations. In contrast, some other cities have more curvilinear and circuitous SNs with many missing links to other streets, which in turn are prone to traffic disruption. The study highlights the important features of SNs that have significant implications for future designs of SNs in the ASCN whose goal is to make cities smart and liveable for ASEAN members.

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“…Orthogonal sites are suggested to be better at connecting a wider area of urban sites with higher overall median node centrality for measures. Such results are comparable to modern cities, which have shown similar centrality differences in comparing orthogonal and hybrid/organic settings, particularly when comparable modes of transport are accounted for [61,62].…”

Influence of Relief Degree of Land Surface on Street Network Complexity in China

“…Moreover, the large sample of an urban street network can be collected by using OSMnx, considerably facilitating the study of urban street networks. Zhao et al compared the network characteristics of the 26 pilot cities of the ASEAN Smart City Network by downloading the drivable and walkable road networks, using OSMnx with various network metrics [30]. Boeing used OSMnx and OpenStreetMap to analyze a street network with 27,000 urban street networks in the US and shared the large-scale data he collected in a public database [31].…”

A Qualitative Study on the Influencing Factors of Public Participation in the Construction of “Waste-Free City” Exploratory Analysis Based on Grounded Theory

“…It has a certain reference significance for enhancing the enthusiasm of the public to participate in the construction of "waste-free city" and other ecological and environmental protection behaviors from a deep level. Second, it systematically sorted out the action mechanism of the factors influencing public participation in the construction of "waste-free city", combined subjective psychological activities with objective situational factors [19][20][21][22][23], which can more comprehensively analyze the influencing factors of public participation. Thirdly, it verifies and extends the theory of planned behavior, and well verifies the influence of behavioral attitude, subjective norms and perceived behavioral control on individual behavior.…”