Do Built Environment Measures Correspond with Pedestrian Activity?

Do Built Environment Measures Correspond with Pedestrian Activity?

Walking and walkability: do built environment measures correspond with pedestrian activity? Caminhadas e caminhabilidade: como métricas do ambiente construído e as atividades de pedestres estão relacionadas? Mateus Humberto Rodrigo Laboissière Mariana Giannotti Cláudio Luiz Marte Daniel Agostini Cruz Henrique Primon Abstract fter the emergence of the term “walkability” in the 1990’s, many metrics have been developed with the aim of evaluating the quality of the built environment for pedestrians. More recently, researchers have A also sought an association of these metrics with pedestrian behavior: do better sidewalk conditions and their surroundings correspond with higher pedestrian activity? To study the association of the built environment with the share of pedestrian movements, two different indexes, one at the city level (macro) and one at the neighborhood level (micro), were proposed using georeferenced data from São Paulo (Brazil). Once the available built environment and transport- related data were incorporated in a linear regression model, the neighborhood-level index (micro) and the share of pedestrian movements presented a strong positive correlation (adjusted R² = 0.797). In addition to the contributions to the relationship of walkability scores with data from developing countries, the discussions presented in this paper intend to provide insights into the territorial ¹Mateus Humberto ¹Universidade de Lisboa disparities in pedestrian mobility, mainly those related to socio-spatial segregation. Lisboa – Portugal Keywords: Urban mobility. Built environment. Active travel. Walkability. http://orcid.org/0000-0002-6602-5708 Resumo ²Rodrigo Laboissière ²Universidade de São Paulo Desde o surgimento do termo “caminhabilidade”, na década de 1990, muitas São Paulo – SP - Brasil métricas foram desenvolvidas com o intuito de avaliar a qualidade do ambiente construído sob a ótica do pedestre. Mais recentemente, alguns ³Mariana Giannotti pesquisadores têm buscado uma associação dessas métricas com o ³Universidade de São Paulo São Paulo – SP - Brasil comportamento dos pedestres: melhores condições das calçadas e de seus entornos estão alinhadas com mais atividades de pedestres? A fim de 4Cláudio Luiz Marte investigar a relação do ambiente construído existente com a proporção de 4Universidade de São Paulo deslocamentos a pé, um indicador no nível da cidade (macro) e outro no nível São Paulo – SP - Brasil do bairro (micro) foram desenvolvidos a partir de dados georreferenciados da cidade de São Paulo. Uma vez que os dados disponíveis sobre o transporte e o 5Daniel Agostini Cruz ambiente construído foram incorporados em um modelo de regressão linear, o 5Universidade de São Paulo o índice na escala do bairro (micro) e a proporção de deslocamentos a pé São Paulo – SP - Brasil apresentaram uma forte correlação positiva (R² ajustado = 0,797). Além da contribuição acerca da relação de métricas de caminhabilidade com dados de 6 Henrique Primon países em desenvolvimento, as discussões apresentadas neste artigo 6Universidade de São Paulo São Paulo – SP - Brasil pretendem fornecer subsídios para a avaliação de desigualdades territoriais na mobilidade a pé, em especial as relacionadas à segregação socio-espacial. Recebido em 28/05/18 Palavras-chave: Mobilidade urbana. Ambiente Construído. Transporte ativo. Aceito em 04/11/18 Caminhabilidade. HUMBERTO, M.; LABOISSIÈRE, R.; GIANNOTTI, M.; MARTE, C. L.; CRUZ, D. A.; PRIMON, H. Walking and walkability: 23 do built environment measures correspond with pedestrian activity? Ambiente Construído, Porto Alegre, v. 19, n. 4, p. 23-36, out./dez. 2019. ISSN 1678-8621 Associação Nacional de Tecnologia do Ambiente Construído. http://dx.doi.org/10.1590/s1678-86212019000400341 Ambiente Construído, Porto Alegre, v. 19, n. 4, p. 23-36, out./dez. 2019. Introduction An integrated consideration of both natural and pedestrian activity. Apart from some recent built environments in transportation planning brings contributions (CRANEA; CREPEAUB, 1998; attention to the importance of data and its outcomes KRIZEK; HANDY; FORSYTH, 2009; VALE; in identifying, discussing, and anticipating PEREIRA, 2016), there is not a consolidated view problems not only among scholars and on the relationship between built environment municipalities but also for non-governmental measures and the walking characteristics in the organizations (NGO) and other civil organizations. field. In addition, studies are lacking that assess the Due mainly to the absence of accessible datasets, walking conditions of pedestrians in developing the diagnosis and implementation of the most countries, which is a focus of this study. fundamental parts of the planning process lack Through the development of an Attractiveness methods regarding the analysis of pedestrians and Index (AI) for pedestrian movements for the city of other active modes. Large cities amplify this São Paulo (Brazil), some discussions regarding the shortage since the scale of pedestrians requires a association of walking and walkability are degree of detail that hampers the analysis by public proposed: managers. (a) the diversity of relationships according to the The incorporation of the characteristics of neighborhood and region within a city; and pedestrian movements can be grouped into two main approaches. In project-oriented studies, at (b) the importance of Origin-Destination (OD) smaller scales and with a more refined level of surveys to support the comparison between waking analysis, the attributes are normally summarized and walkability indexes, through the correlation according to concepts from traffic engineering, such analysis between attractiveness of the built as the associated level of service (LOS) for environment and the pedestrian movements. pedestrian flows (GONÇALVES, 1978; NZ…, To do this, this paper is structured as follows: first, 2009). For more aggregated data regarding large- a data description is provided with the scale of scale patterns of pedestrian movements, however, analysis, and methods adopted to develop the index some studies tend to comprise sets of indicators that at both the city and neighborhood levels. Second, are more related to physical conditions, such as the the results of the AI and its relationships with road network and land use. The latter, which is the pedestrian movement data (OD survey) are focus in this paper, is referred to as the walkability presented, and the verification and the validity of (of a neighborhood, district, or city), term that the adopted regression model are evaluated emerged in the 1990s (BRADSHAW, 1993) and followed by a critical discussion. Finally, the has been used by different metrics with the aim of conclusion includes suggestions, limitations, and evaluating the quality of the built environment for possible considerations for future research. In pedestrians. The sets of indicators present a addition to highlighting the importance of diversity of factors, different levels of analysis, and discussing the urban mobility of cities in developing several contexts and approaches towards countries, the proposed approach is also adaptable performing studies on active mobility. to diverse environments and could be tested in other Through walkability metrics, some authors have cities. sought to identify areas with high potentials for walking (ACKERSON, 2005; RODRIGUES et al., Methodology 2014; TALEN; KOSCHINSKY, 2013), while others have focused on access to public Pedestrian trips to pedestrian transportation (PAIXÃO; DELGADO, 2014; movements PASSMORE, 2007) and on the association with socioeconomic elements and the built environment The analysis of pedestrian movements through OD (AMANCIO, 2005; CERVERO et al., 2009; surveys involves many issues since most of the CERVERO; KOCKELMAN, 1997). These metrics surveys are oriented towards public transportation have been developed with the aim of better agencies and usually only include movements more designing diagnoses regarding the conditions for than 15 minutes or 5 blocks long. This approach pedestrians (GRIECO; PORTUGAL; ALVES, eliminates short trips and reduces the number of 2016). actual movements assigned to pedestrians (VASCONCELLOS; MENDONÇA, 2017). The More recently, researchers have sought an consideration of an alternative concept (pedestrian association of these metrics with pedestrian movements) rather than the trips typically behavior, i.e., whether better sidewalk conditions considered in transport planning was required since and their surroundings correspond with higher 24 Humberto, M.; Laboissière, R.; Giannotti, M.; Marte, C. L.; Cruz, D. A.; Primon, H. Ambiente Construído, Porto Alegre, v. 19, n. 4, p. 23-36, out./dez. 2019. the conceptualization via transport planning services), secondary georeferenced data were traditionally undermines considerations of short sought together with public agencies, research trips as trips per se, especially in active modes such centers, universities, and civil society associations as walking and cycling (VASCONCELLOS, 2017). in São Paulo, Brazil. This approach allowed for the In São Paulo’s OD survey, a pedestrian trip is only construction of 19 indicators of pedestrian incorporated if it covers more than five blocks attractiveness in 320 different zones, constituting (approximately 500 meters) and is performed as a five categories: integrity of road network, diversity single mode, i.e., it is not quantified when it is of land use, education, road safety, and access to combined with other transportation modes public transportation.

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