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Street closure following an earthquake makes life-saving and rescue work more difficult, especially in congested urban areas. After the great Chi-chi earthquake, recovery and reconstruction work became necessary. In particular, we have to investigate the street network damages and other effects. Considering the road improvement plan, not only malfunction recovery but also a comprehensive evaluation should be considered in future urban planning. The reliable street network against earthquakes is the central concern of this survey.

This study attempts to implement a case study survey of damaged areas, and analyze the effecting factors on street closure. We also try to evaluate the road function against earthquake integrated with the street-damaged characteristics. Using a discriminant model of street closure, some design guidelines for future transportation planning decisions are proposed.

Nan-tou City network has 365 links and 66.6% of them are less than 6 meters in width. Ton-shi Town network has 248 links and 35% of them are less than 6 meters in width. The same definition of street closure (impassable by vehicles) of ‘street width less than 4 meters’ was applied to these two case studies. This research considered several street network alternatives, the inaccessible nodes for all alternatives and analysis in order to determine a more reliable street network for increased safety. Results of both surveyed areas suggest that when we decrease the interval distance of the 8-M street, the percentage of the differences of inaccessible nodes will also decrease.

The Chi-chi earthquake did great harm in the disaster area. Fortunately we find the street damages of our surveying area were not too severe to maintain their functions in times of earthquake. However, it is still meaningful for a transport planner to evaluate the reliability of residential streets because the main target of planning a residential street network is to restrain through-traffic in this area to ensure safe and comfortable conditions for pedestrians while meeting residential access requirements.

Zone 6 of Tehran, with a populations of 220,000 people (3.6 per cent of the city population) and 20 km2 area (3 per cent of the city area), is one of the main municipal zones of Tehran. Major land-uses, like ministries, embassies, universities, general hospitals and medical centers, big financial firms, and so on, manifest the high importance of this region on a local and national scale. Thus, it is necessary to pay close attention to issues concerning crisis management in this area.

In this paper, by using indexes such as access to medical centers, street inclusion, building and population density, land-use, peak ground acceleration and building quality, vulnerability degree of street networks in zone 6 against the earthquake is calculated through overlaying maps and data in combination with inversion hierarchical weight process method and geographic information systems.

This article concludes that buildings alongside the streets with high population and building density, low building quality, far to rescue centers and high level of inclusion represent high rate of vulnerability, compared with other buildings. Also, by moving from north to south of the zone, the vulnerability increases. Likewise, highways and streets with substantial width and low building and population density hold little values of vulnerability. Thus, streets with high level of inclusion, building and population density present further vulnerability.

It is expected that the results of this paper be used by the urban decision-makers. Due to high vulnerability of most parts of the urban textures of Tehran, similar researches will have importance for preparation for the future possible earthquakes.

Pavement deterioration prediction models play a crucial role in determining maintenance strategies and future funding needs. While deterioration prediction models have been studied extensively in the past, applications of these models to local street networks have been limited. This study aims to address this gap by sharing the results of network level deterioration prediction models developed at a local level.

Network level pavement deterioration prediction models are developed using Markov chains for the local street network in Syracuse, New York, based on pavement condition rating data collected over a 15-year time period. Transition probability matrices are generated by calculating the percentage of street sections that transition from one state to another within one duty cycle. Bootstrap sampling with replacement is used to numerically generate 95% confidence intervals around the transition probability values.

The overall local street network is divided into three cohorts based on street type (i.e. avenues, streets and roads) and two cohorts based on pavement type. All cohorts demonstrated very similar deterioration trends, indicating the existence of a fast-paced deterioration mechanism for the local street network of Syracuse.

This study contributes to the body of knowledge in deterioration modeling of local street networks, especially in the absence of key predictor variables. Furthermore, this study introduces the use of bootstrap sampling with replacement method in generating confidence intervals for transition probability values.

The emerging concept of smart city is known to aim at sustainable urban development. One of the requirements for a smart city is to address accessibility inequalities. This study aims to investigate the accessibility level issues in urban transformation before and after combining different street networks for Penang, Malaysia, as a case study to reveal greater insight and helpful information into mobility and accessibility inequalities for future smart city planning.

Using DepthmapX software, two main quantitative methodologies of space syntax, namely, spatial integration accessibility (SIA) and angular segment analysis by metric distance (ASDMA), are employed to analyse the level of accessibility for the main streets of George Town site before and after combination with contemporary networks. Integration, choice and entropy values were calculated for the study analysis.

Results revealed the implications of combining old irregular gridiron structures with the existing planned grid structures. George Town seems to have gained a higher capacity for pedestrian accessibility; however, vehicle accessibility has lost its capacity. Findings further suggest that a combination of irregular structure and grid structure is essential for urban growth in similar historical contexts to improve accessibility and address mobility inequalities.

The study concludes by highlighting the importance of the analysis of street structure transformation to predict consequences and promote the potential to reduce current inequalities in vehicle accessibility.

There is an urgent need to develop a systematic tool for urban design in the cities of the Klang Valley, Malaysia. Sustainable Development Goal 11 (SDG11) proposes ideas to make cities and human settlements inclusive, safe, resilient and sustainable. This paper approaches this goal through land use, integrated into an effective connectivity network. It offers a scientific and systematic approach. The research employs Space Syntax of the University College London as a tool for urban analysis and the principles of Sustainable Street Networks developed by the Congress of New Urbanism to respond to connectivity issues.

The paper employs empirical research through case studies. A systematic literature review is conducted on the diversified applications of the Space Syntax correlations, which steered the fundamental analysis of the elements of deconstruction to structure and land use. Space Syntax and Sustainable Street Network characteristics were the essential research methods. It is important to note that these data a new finding on the Syntactic Maps of the two case study cities.

The paper summarises a set of results on (1) international comparison of spatial intelligence, (2) patterns from the Eastern cases and (3) theoretical guidelines for spatial intelligence through the Syntax by offering key characteristics of the New Urbanism principles, which could be considered, while revitalising the cities in the Klang Valley, Malaysia.

The findings are specific and applicable to the oriental contexts. However, such results have been further compared to the Western context.

The study develops a toolkit for urban planners and designers and architects in Klang Valley, Malaysia.

The research has focused and will add value for SDG11: Sustainable Cities and Communities. Theoretically, the paper offers insights to urban design readers.

It is important to note that the data itself is a new finding on Syntactic Maps of the two case study cities. The investigated setting is unique, and the first attempt in generating a Space Syntax map to the cities of Klang Valley, and the findings, therefore, offer a new set of knowledge-base to the city planners, urban designers, researchers and architects.

This paper presents a mixed methodology to map and analyse the spatial connectivity of the everyday pathways that link the doorway of an individual's home–work locations to the local main commercial street. These pathways include public streets, semi-private lanes, alleys and stairs.

Pathways within different morphological areas in Hanoi, Vietnam, are used as examples to illustrate the development and application of the methodology. The methodology, adapted from Conzenian, typological, and space syntax methods, combined with observations and interviews, seeks to overcome several identified limitations of each of these approaches for understanding pedestrians' horizontal and vertical movement patterns within urban settings.

Analytical diagrams of pathways are developed on figure-ground maps of the neighbourhoods and three-dimensional projections of circulation spaces within buildings. Scatter plots are used to analyse the distribution of collected samples according to their business types and distances to local main streets. Field observations and interviews with homeowners revealed the critical influence of the pathways' spatial characteristics on home-based businesses' operations.

The methods developed here are potentially useful for urban morphologists and urban designers in decoding the intricacies of informal urban settings and understanding their socio-economic significance for users.

This paper aims to discuss the emergence of the contemporary Urban Street Gang (USG) on Merseyside. In terms of gang scholarship in the UK, Merseyside has been greatly neglected despite regular reports in national mainstream media that suggest Merseyside USGs represent some of the most criminally active and violent members in the UK.

A specific methodology has been omitted because the author while providing a viewpoint from Hesketh (2018), also wishes to encapsulate observations from the remaining two pieces of research conducted on Merseyside (Smithson et al., 2009; Robinson, 2018). For this reason, a summary of the methods used in each of the three studies is provided.

The paper will highlight observations drawn from all three research studies that were prevalent with USG members throughout the Merseyside county at the time of each study. They include aspects surrounding territoriality, belonging and identity through dress style as well as USG structures and motivation for joining. In particular, the paper will address also address the role of drugs which has transformed the structural make-up of many Merseyside USGs from relatively loosely knit-street corner groups involved in anti-social behaviour (ASB) to more structural-deviant entrepreneurial enterprises.

The paper calls for more research to be carried out on Merseyside. Limitations would include the omission of young women in each of the three studies.

The practical implications are as follows: a need to focus on the impact of bridging within excluded communities; a need to focus on emphasising that drug dealing is a crime that carries serious consequences, and not a form of work (grafting); a need to focus on young women and criminal involvement; and a need to concentrate on developing strategies that counter the allure and attraction of risk-taking behaviour.

The paper addresses the impact of social exclusion and the need for equality to counter young people becoming involved in criminality and gangs as well as adult organised crime groups.

The paper is based on what have been so far the only three in-depth studies carried out on Merseyside.

The most sustainable forms of urban mobility are walking and cycling. These modes of transportation are the most environmental friendly, the most economically viable and the most socially inclusive and engaging modes of urban transportation. To measure and compare the effectiveness of alternative pedestrianization or cycling infrastructure plans, the authors need to measure the potential flows of pedestrians and cyclists. The paper aims to discuss this issue.

The authors have developed a computational methodology to predict walking and cycling flows and local centrality of streets, given a road centerline network and occupancy or population density data attributed to building plots.

The authors show the functionality of this model in a hypothetical grid network and a simulated setting in a real town. In addition, the authors show how this model can be validated using crowd-sensed data on human mobility trails. This methodology can be used in assessing sustainable urban mobility plans.

The main contribution of this paper is the generalization and adaptation of two network centrality models and a trip-distribution model for studying walking and cycling mobility.