Neighbourhood preferences, active travel behaviour, and built environment: An exploratory study

Haybatollahi, Mohammad; Czepkiewicz, Michał; Laatikainen, Tiina E.; Kyttä, Marketta

doi:10.1016/j.trf.2015.01.001

Cited by 59 publications

(33 citation statements)

References 35 publications

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“…It was also confirmed that urban compactness reduces the length of shopping trips, saves time and increases leisure trips (Gim 2018). People often walk or ride a bicycle in the highly urbanised areas of the city centre (Haybatollahi et al 2015). With increasing distance from the centre, population density and urbanisation decrease and the need for car transport increases (Brownson et al 2009).…”

Section: Introductionmentioning

confidence: 86%

Attitudes and Motivation to Use Public or Individual Transport: A Case Study of Two Middle-Sized Cities

et al. 2018

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This paper presents the results of a quantitative study in the Czech Republic to understand travellers' attitudes towards and motivation to use different means of transport. Two Czech cities, Olomouc and Ostrava, are compared from the point of view of factors influencing spatial and temporal patterns and citizen's selection of transport mode and transport behaviour (range and daily movements of the population, perception of the quality of public transport etc.). The data for the analysis were obtained from the survey with more than 500 respondents in each city. Spatial and temporal behaviour represented by the pattern of the movement in Olomouc and Ostrava city was identified by statistical and visual analytics methods. Based on a case study of two cities of a different size, we conclude that the size and shape of the city centre (spatial structure) influence not only the distances travelled but also the average speed of public transportation (slower for a smaller city). Distances and choice of transport mode also vary with the density of urban areas but can also be influenced by the spatial structure of the city. The walking distance to a public transport stop does not influence the most frequently used mode of transport. Temporal patterns in both cities are very similar and are not dependent on city size or city spatial structure. The spatial patterns of the car and public transport flows are similar in both cities. Different patterns can be observed for walking and shopping routes.

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Section: Introductionmentioning

confidence: 86%

Attitudes and Motivation to Use Public or Individual Transport: A Case Study of Two Middle-Sized Cities

et al. 2018

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“…The stated preference data used a typology developed by Haybatollahi et al that has been derived from survey data where study participants were asked about their residential preferences [30]. Stated neighborhood preferences were measured using 10 attitudinal statements (see Figure 2) formulated based on living the environment preference scale that was developed in a qualitative study on two Finnish neighborhoods [31].…”

Section: Methodsmentioning

confidence: 99%

“…Stated neighborhood preferences were measured using 10 attitudinal statements (see Figure 2) formulated based on living the environment preference scale that was developed in a qualitative study on two Finnish neighborhoods [31]. Subsequently, participants were classified into three clusters: so-called "urban tribes" representing different residential and neighbourhood preferences [30]. Using this typology of stated preferences, this study determined the congruence between stated and revealed preferences.…”

Section: Methodsmentioning

confidence: 99%

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Beyond Housing Preferences: Urban Structure and Actualisation of Residential Area Preferences

2019

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The concept of residential housing preferences has been studied across multiple disciplines, with extensive literature supporting both stated and revealed preference methods. This study argues that both preference types, stated and revealed, should be assessed concurrently to achieve a more comprehensive understanding of residential housing choices. To provide evidence, this research used findings from a public participation GIS survey that identified the stated housing preferences associated with three categories of urban residents, which were called urban “tribes”. We implemented an analytical framework using fuzzy modelling to relate stated preferences with revealed preferences for the same individuals using empirical data describing the urban structure in Tampere, Finland. Following an analysis of the relationships between residents’ revealed preferences and urban structural variables, we examined the consistency of stated housing preferences with revealed preferences. The results show considerable mismatch between the stated and revealed preferences for the urban tribes that were examined i.e., the preferred housing environment was significantly different from the actual living environment. Further, the stated preferences showed disequilibrium within the current structure of the housing supply in Tampere. The findings can have important implications for housing policy making in Tampere. Further, the use of a novel fuzzy model approach demonstrated a flexible and tolerant method for working with imprecise and variable social data to capture subtle differences. Finally, this study elaborately discusses the remaining limitations and suggests how they should be addressed in future research.

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“…Although the selection of a particular residential area depends on the buyer's preferences, needs and way of living (Haybatollahi et al 2015;Komeily, Srinivasan 2016), which introduces subjectivity in the decision-making framework, it is worth noting that classification models for residential real estate are useful because they can provide decision support to municipalities, police forces and economic agents alike, encouraging viable solutions to improve residential spaces, reduce crime levels and requalify residential areas (Steenberg et al 2015;Ciampalini et al 2016). Following this, Table 1 presents some of the Evaluates the relationship between crime and the value of the buildings, proving that these two variables are correlated.…”

Section: Related Workmentioning

confidence: 99%

Classifying Residential Real Estate Based on Their Exposure to Crime: a Research Agenda

Marques

Ferreira

Meidutė‐Kavaliauskienė

2017

Proceedings of 5th International Scientific Conference Contemporary Issues in Business, Management and Education ‘2017

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Abstract. Criminality and sense of security in residential areas are always present in the mind of citizens, and directly affect the work of police authorities, real estate agents and society at large. This study proposes the development of a multiple criteria model for the classification of residential areas based on their exposure to crime. By combining cognitive mapping with the Measuring Attractiveness by a Categorical Based Evaluation Technique (MACBETH), we also aim to increase transparency in the classification process of residential real estate, allowing improvement initiatives to be applied and crime rates to be reduced. The major difference between our proposal and the extant literature is the fact that the information collected from criminal, urbanism and real estate experts, who deal with crime adversities on a daily basis, will be analyzed and discussed during presential group meetings, allowing realism to be incorporated into the evaluation mechanism. The current proposal is a research agenda, and results will not yet be presented.

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Neighbourhood preferences, active travel behaviour, and built environment: An exploratory study

Cited by 59 publications

References 35 publications

Attitudes and Motivation to Use Public or Individual Transport: A Case Study of Two Middle-Sized Cities

Attitudes and Motivation to Use Public or Individual Transport: A Case Study of Two Middle-Sized Cities

Beyond Housing Preferences: Urban Structure and Actualisation of Residential Area Preferences

Classifying Residential Real Estate Based on Their Exposure to Crime: a Research Agenda

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