Design in the World: An Interview with Detlef Mertins

Geoff Manaugh, editor of BldgBlog , interviews Detlef Mertins, Professor and Chair of the Architecture Department at the University of Pennsylvania for the website Archinect . The interview covers a range of subjects concerning architecture and education today, including the nature of contemporary experimental design, the role of digital media, formats of commercial development, issues of ecological design, and architecture\u27s social and political responsibilities

What is mixed use? Presenting an interaction method for measuring land use mix

JTLU vol. 6, no. 1, pp. 63-72 (2013)In recent decades, the mixing of complementary land uses has become an increasingly important goal in transportation and land use planning. Land uses mix has been shown to be an influential factor in travel behavior (mode choice and distance traveled), improved health outcomes, and neighborhood-level quality of life. However, quantifying the extent to which a given area is mixed-use has proven difficult. Much of the existing research on the mixing of land uses has focused on the presence and proportion of different uses as opposed to the extent to which they actually interact with one another. This study proposes a new measure of land use mix, a land use interaction method—which accounts for the extent to which complementary land uses adjoin one another—using only basic land use data. After mapping and analyzing the results, several statistical models are built to show the relationship between this new measure and reported travel behavior. The models presented show the usefulness of the approach by significantly improving the model fit in comparison to a commonly-used land use mix index, while controlling for socio-demographic and built form factors in three large Canadian cities (Vancouver, Toronto, and Montreal). Our results suggest that simple, area-based, measures of land use mix do not adequately capture the subtleties of land use mix. The degree to which an area shows fine-grained patterns of land use is shown to be more highly correlated with behavior outcomes than indices based solely on the proportions of land use categories

What makes travel ‘local’: Defining and understanding local travel behavior

JTLU vol 5, no 3, pp 15-27 (2012)In recent years, land use and transportation planning priorities have shifted from issues of mobility to focus on the capacity of neighborhoods to provide opportunities to live, work, shop, and socialize at the local scale. This research explores a sample of households from Montreal, Quebec, Canada, that engaged in multiple trip purposes on the same day and measures the effects of household, individual, and trip characteristics on their travel behavior, especially the localization of these trips. A new measure to understand the spatial dispersal of actual activity space of each household is proposed while controlling for distance traveled. The findings show that levels of regional and local accessibility have different effects on this new index. Furthermore, these effects vary with household size and socio-demographic factors. This study could help transportation professionals who are aiming to develop policies to localize household travel patterns through land use and transportation coordination at the neighborhood and regional scale. As wealthier car-owning households are seen to exhibit more dispersed travel behavior regardless of accessibility measures, implications for social equity and exclusion are also explored

Exploring the role of the built and natural environment in encouraging active travel for different trip purposes in Montreal

Transportation research has extensively examined the influence of both the built and natural environment on active travel. While most studies assume linear relationships, some evidence indicates that this might not always be the case. This paper addresses this by identifying the nature of the relationship between the built and natural environment (BNE) and active travel (AT) across several trip purposes: school, shopping, work, and leisure trips in Montreal, Canada. We also identify areas with low and high potential for active travel. Using Generalized Linear Models with the Tweedie family and including a spatial lag covariate, we found that the relationship between BNE and AT is not always linear. In some cases, higher access levels to sidewalks, bike lanes, walkable destinations, and transit stops, constantly increase AT but with cubic or logarithmic relationships. Other variables, such as dwelling density, intersection density, park access, tree coverage, industrial diversity, and proximity to water bodies, also encourage active travel but only up to a certain threshold, beyond which further increases do not increase AT, and in some cases, can lead to a decline, forming an inverted "U" relationship. These relationships vary across trip purposes. Central areas in Montreal show the best potential to support active travel, while the rest of the city displays low levels of support, depending on the trip's purpose. The findings highlight the importance of accounting for non-linear relationships, as improvements in the BNE do not always translate into higher levels of active travel

The importance of neighborhood type dissonance in understanding the effect of the built environment on travel behavior

JTLU, vol. 8, no. 2, pp. 45-57For many years, researchers have struggled to separate the effects of personal tastes—including residential choices—from built environment and transport related factors when attempting to understand and model travel behavior. This paper will briefly describe how issues related to self-selection, if not controlled for in a travel behavior analysis, can lead to over- and under-estimation of the effect of the built environment on travel behavior. A theoretical model is presented, which is followed by an empirical analysis based on survey data capturing residential choice factors to test our theory. Our analysis shows that by separating people that have chosen their current home location based primarily on transport-related concerns from people who have located based primarily on housing and neighborhood characteristics, we are able to gain a nuanced understanding of how various “costs” associated with using public transit (access time, waiting time, and transfers) affect the likelihood of taking transit. We find a strong aversion to transfers as well as different responses to these factors based on reasons for living in a given location. We demonstrate how model predictions vary greatly especially when self-selection factors are included in the analysis. Findings from this research shed light on the importance of self-selection in travel behavior research, giving transport planners and engineers clear examples how ignoring these factors can lead to misleading findings

Understanding engagement and disengagement from pro-environmental behaviour: The role of neutralization and affirmation techniques in maintaining persistence in and desistance from car use

Despite mounting evidence that car use is a prime culprit of global warming, our love affair with the car persists. General awareness of the environmental consequences of car usage is high but fails to correspond to moderated car use. This paper contributes to an understanding of how university students’ environmental beliefs affect decisions to engage in continued car use (persistence) and/or to discontinue or reduce car use (desistance). The aim of the research presented here was to explore the range of neutralizations and counterneutralizations (affirmations) employed by students and to examine the ways in which they are used to justify and maintain either persistence or desistance in car use. The research consisted of six focus group sessions with thirty-four UK-based Higher Education students. Analysis of the study’s data highlights the range of neutralizations and counter-neutralizations employed by students in social settings. The article discusses the usefulness of neutralization theory in accounting for actual and/or intended nonenvironmentally friendly behaviour such as car use. In addition, the study’s findings are discussed in relation to prior research and to potential implications for public policy interventions which favour moderating car usage

Cycling Frequency Changes During the COVID-19 Pandemic in Canada’s Most Populous Urban Regions

We surveyed 2,066 residents of Toronto and Montréal and Vancouver-area municipalities to identify changes in self-reported cycling frequency from before to during the COVID-19 pandemic. Results indicate that 5% of people who were infrequent cyclists (less than once a week) became frequent cyclists (at least once a week) over the pandemic; these were more likely to be men, those aged 30-59 years, those living in more urban neighbourhoods, and those who felt that new cycling facilities provided better access to their usual and/or desired locations via active transportation

Spatial distribution of roadway environment features related to child pedestrian safety by census tract income in Toronto, Canada

BACKGROUND: Investments in traffic calming infrastructure and other street design features can enhance pedestrian safety as well as contribute to the ‘walkability’ of neighbourhoods. Pedestrian–motor vehicle collisions (PMVCs) in urban areas, however, remain common and occur more frequently in lower income neighbourhoods. While risk and protective features of roadways related to PMVC have been identified, little research exists examining the distribution of roadway environment features. This study examined the relationship between roadway environment features related to child pedestrian safety and census tract income status in Toronto. METHODS: Spatial cluster detection based on 2006 census tract data identified low-income and high-income census tract clusters in Toronto. Police-reported PMVC data involving children between the ages of 5 and 14 years were mapped using geographical information system. Also mapped were roadway environment features (densities of speed humps, crossing guards, local roads, one-way streets and missing sidewalks). Multivariate logistic regression was used to examine the relationship between roadway environment features (independent variables) and cluster income status (dependent variable), controlling for child census tract population. RESULTS: There were significantly fewer speed humps and local roads in low-income versus high-income clusters. Child PMVC rates were 5.4 times higher in low-income versus high-income clusters. CONCLUSION: Socioeconomic inequities in the distribution of roadway environment features related to child pedestrian safety have policy and process implications related to the safety of child pedestrians in urban neighbourhoods

Commuting times - The role of gender, children and part-time work

It has been widely established in the UK and other developed countries that men commute longer than women and that fathers travel furthest to work while mothers travel least. This paper models a wide variety of factors that affect commuting times including gender, presence of children and working hours (part- and full-time work). It finds that of particular importance to the length of commute are the worker’s age, having children, the age of their youngest child, occupation, weekly pay, and mode of transport (with public transport being associated with long commutes). The region of residence was important for men and women working full time but not for part-timers (except for women in London), while ethnicity and owner occupation were associated with commuting length for full-time men only. The results suggest that while gender, working hours and childcare responsibility are often inter-related, it is useful to disaggregate their effects when modelling