Residential dissonance and mode choice

Residential dissonance refers to the mismatch in land-use patterns between individuals’ preferred residential neighbourhood type and the type of neighbourhood in which they currently reside. Current knowledge regarding the impact of residential dissonance is limited to short-term travel behaviours in urban vs. suburban, and rural vs. urban areas. Although the prevailing view is that dissonants adjust their orientation and lifestyle around their surrounding land use over time, empirical evidence is lacking to support this proposition. This research identifies both short-term mode choice behaviour and medium-term mode shift behaviour of dissonants in transit oriented development (TODs) vs. non-TOD areas in Brisbane, Australia. Natural groupings of neighbourhood profiles (e.g. residential density, land use diversity, intersection density, cul-de-sac density, and public transport accessibility levels) of 3957 individuals were identified as living either in a TOD (510 individuals) or non-TOD (3447 individuals) areas in Brisbane using the TwoStep cluster analysis technique. Levels of dissonance were measured based on a factor analysis of 16 items representing the travel attitudes/preferences of individuals. Two multinomial logistic (MNL) regression models were estimated to understand mode choice behaviour of (1) TOD dissonants, and (2) non-TOD dissonants in 2009, controlling for socio-demographics and environmental characteristics. Two additional MNL regression models were estimated to investigate mode shift behaviour of (3) TOD dissonants, and (4) non-TOD dissonants between 2009 and 2011, also controlling for socio-demographic, changes in socio-demographic, and built environmental factors. The findings suggest that travel preference is relatively more influential in transport mode choice decisions compared with built environment features. Little behavioural evidence was found to support the adjustment of a dissonant orientation toward a particular land use feature and mode accessibility they represent (e.g. a modal shift to greater use of the car for non-TOD dissonants). TOD policies should focus on reducing the level of dissonance in TODs in order to enhance transit ridership.     

Millennials,built form,and travel insights from a nationwide typology of U.S. neighborhoods

We examine the relationship between the built environment and the travel of Millennials in the United States. We develop a neighborhood typology to characterize the built environment and transportation networks in almost every U.S. census tract, allowing us to identify possible synergistic and/or threshold effects on travel. We measure travel behavior in two ways: (1) using a multi-faceted traveler typology created using latent class analysis, and (2) by measuring the vehicle miles of travel among people in each of these traveler types. This dual approach allows us to distinguish between the built environment changes needed to encourage travel by modes other than driving, and those needed to reduce vehicle miles traveled among drivers. Using a multinomial logistic regression, we find that travel patterns are relatively stable along much of the urban-rural continuum, everything else equal. Driving was substantially lower only in “Old Urban” neighborhoods, where densities, job access, and transit service are dramatically higher than in all other neighborhood types. This finding implies that dramatic changes in the built environment—doubling or even tripling development density or transit service—may do little to get young people out of their cars when initial densities or transit services are low, as they are in most of the U.S. Conversely, reducing vehicle miles traveled among drivers appears to require more modest built form changes, a finding that offers some room for optimism among those concerned with auto dependence.     

Carless in California: Green choice or misery?

Approximately 1 million Californian households do not own a motor vehicle (hereafter a “car”). These households, who are often forgotten in transportation policy discussions, can be organized into two groups based on whether they are voluntarily carless or not. Understanding why some households decide to voluntarily forgo cars could inform policies aiming at reducing our dependency on cars. Understanding the plight of households who are not able to own a car is no less important as these households are at greater risk of social exclusion. Unfortunately, our knowledge of carless households is still sketchy so the purpose of this paper is to start filling this gap. We analyze data from the 2012 California Household Travel Survey using univariate tests and Generalized Structural Equation Models (GSEM) that account for residential self-selection to assess the impacts of various socio-economic and built environment variables on the likelihood to be carless, voluntarily or not. Our results (GSEM Model 1) indicate that carless households are more likely to have less education, a lower income, and a smaller number of members than motorized families. They also tend to live in denser, more land-use diverse, and more walkable areas with better transit coverage. Contrasting voluntarily and involuntarily carless households (GSEM Model 3), we find that involuntarily carless households are less affluent on average and they tend to live in areas that are less land-use diverse, less walkable, and with worse transit coverage. Finally, although residential self-selection is present, its impacts are minor.     

The geography of car ownership in Mexico City: a joint model of households’ residential location and car ownership decisions

Suburbanization and car-ownership have increased rapidly in developing-world cities over the past half-century. This study examines the relationship between income, car ownership, and suburbanization across geographies and households in metropolitan Mexico City. Neither car-ownership trends by geography nor a mixed logit model of 43,000 households’ joint car-ownership and residential-location decisions suggest that car ownership and suburbanization are moving hand-in-hand. Instead, wealthier households tend to live in central locations and own and drive cars, while poorer households tend to live further from the urban center and rely more heavily on transit. If a random household’s income doubles, that household is around 44% more likely to get an additional car and 29% more likely to live in the urban center. Given the sticky nature of housing supply and the current model of peripheral housing production, aggregate responses to higher income are more difficult to predict, as they will almost certainly be offset by higher prices. Nevertheless, the findings suggest that higher income and car ownership do not tend to encourage a move to larger houses on larger suburban lots in Mexico City.     

Advance transit oriented development typology: case study in Brisbane,Australia

Internationally, transit oriented development (TOD) is characterised by moderate to high density development with diverse land use patterns and well connected street networks centred around high frequency transit stops (bus and rail). Although different TOD typologies have been developed in different contexts, they are based on subjective evaluation criteria derived from the context in which they are built and typically lack a validation measure. Arguably there exist sets of TOD characteristics that perform better in certain contexts, and being able to optimise TOD effectiveness would facilitate planning and supporting policy development. This research utilises data from census collection districts (CCDs) in Brisbane with different sets of TOD attributes measured across six objectively quantified built environmental indicators: net employment density, net residential density, land use diversity, intersection density, cul-de-sac density, and public transport accessibility. Using these measures, a Two Step Cluster Analysis was conducted to identify natural groupings of the CCDs with similar profiles, resulting in four unique TOD clusters: (a) residential TODs, (b) activity centre TODs, (c) potential TODs, and (d) TOD non-suitability. The typologies are validated by estimating a multinomial logistic regression model in order to understand the mode choice behaviour of 10,013 individuals living in these areas. Results indicate that in comparison to people living in areas classified as residential TODs, people who reside in non-TOD clusters were significantly less likely to use public transport (PT) (1.4 times), and active transport (4 times) compared to the car. People living in areas classified as potential TODs were 1.3 times less likely to use PT, and 2.5 times less likely to use active transport compared to using the car. Only a little difference in mode choice behaviour was evident between people living in areas classified as residential TODs and activity centre TODs. The results suggest that: (a) two types of TODs may be suitable for classification and effect mode choice in Brisbane; (b) TOD typology should be developed based on their TOD profile and performance matrices; (c) both bus stop and train station based TODs are suitable for development in Brisbane.     

北京城市轨道交通商业资源市场化运作探析

轨道交通能够为城市带来巨大的社会效益,节约社会资源和出行成本,提高交通效率。分析了国外城市轨道交通商业资源市场化运作经验,总结了北京城市轨道交通商业资源运作模式,研究提出了北京轨道交通资源创新与规模经营的构想,以进一步促进规模经营和创新经营的发展。     

Rail-transit-induced gentrification and the affordability paradox of TOD

Numerous studies have shown that rail transit has a positive effect on raising property values and tax revenues. Such an effect is widely viewed as an economic benefit for property owners and is key to justifying the high cost of building rail transit infrastructure. In recent years, however, concerns have been raised about rail transit acting as a gentrification trigger and causing the affordability paradox. In this study, I evaluate whether rail transit in suburban Portland caused neighborhood gentrification and reduced home affordability through a longitudinal quasi-experimental design. I use the propensity score matching method to identify control neighborhoods for rail-transit-served neighborhoods. I then make pretest-posttest comparisons between rail-transit-served neighborhoods and their control neighborhoods at multiple observation points. In general, I did not find consistent evidence for rail-transit-induced gentrification in suburban Portland. I did not find evidence that rail transit reduced home affordability for tenants and home owners in rail transit-served neighborhoods either. I observed more changes in the neighborhoods served by the Eastside line (the oldest rail transit line in Portland) than their control neighborhoods in the past three decades: socially, they attracted older and less-educated population; physically, they experienced densification and faster increases of the share of rental units in their housing stock. Rail transit was more likely to be installed along low-income neighborhoods in suburban Portland, confirming the necessity of constructing appropriate control neighborhoods while evaluating the neighborhood and social effects of rail transit.     

Identifying latent demand for transit-oriented development neighbourhoods: Evidence from a mid-sized urban area in Canada

Many studies have provided strong evidence of residents' support for the characteristics of transit-oriented development (TOD) neighbourhoods, but few have explicitly investigated the question of whether these preferences translate into their actual choices. How many households are experiencing a state of residential mismatch between preferred and actual neighbourhoods? What trade-offs have they made in residential location choices? We draw on data from a 2017 residential location choice survey in Kitchener Waterloo (KW), Canada, and employ latent class analysis (LCA) to address these questions. The light-rail transit (LRT) corridor encompassing the area that is 800 m surrounding LRT stops is defined as the TOD area. This study finds empirical evidence of TOD preferences in mid-sized cities and further uncovers latent demand for TOD neighbourhoods during the LRT construction phase. 37% of respondents hold strong TOD preferences but purchased outside TOD areas. These households are primarily young families (aged 25–34) with children and represent a possible missing target in TOD housing supply in our study area. Our findings provide support for building more “missing middle” intensified family housing in TOD areas of mid-sized cities.     

Public bicycle as a feeder mode to rail transit in China: The role of gender,age, income,trip purpose,and bicycle theft experience

A marriage between public bicycle and rail transit presents new opportunities for sustainable transportation in Chinese cities. To examine determinants of public bicycle usage for rail transit access, an intercept survey of feeder mode choice among rail transit users was conducted near rail stations in Nanjing, China. Mode choice models were estimated with five feeder mode alternatives, including car, bus, walk, private bike, and public bike. By differentiating between public and private bicycle modes in the mode choice models, the study reveals the effects of personal demographics, trip characteristics, and station environments on public bicycle usage for rail transit access. Results show that female, older, and low-income rail commuters are less likely to use public bicycle to access rail transit. Rail commuters with bicycle theft experience and making school- or work-related trips are more likely to use public bicycle to access rail transit. Land use variables are largely insignificant in this study except that density shows a positive relationship with walking to rail transit. The results on demographic differences raise equity concerns when it comes to investing in public bicycle systems. Policy implications are discussed for Chinese cities to equitably boost public bicycle integration with rail transit.     

Optimizing the aerodynamic efficiency of intermodal freight trains

We develop an aerodynamic loading assignment model for intermodal freight trains based on an integer-programming framework to help terminal managers make up more fuel-efficient trains. This is the first use of optimization modeling to address the aerodynamics and energy efficiency of railroad intermodal trains. Several recommendations regarding railway equipment use, operations, and policy are proposed to improve fuel-efficiency and reduce emissions from intermodal transportation. Analysis of one major railroad intermodal route reveals the potential to reduce fuel consumption by 15 million gallons per year with corresponding savings of $28,000,000. Greater benefits are possible through broader implementation of the model.     

Not minding the gap: Does ride-hailing serve transit deserts?

Transit has long connected people to opportunities but access to transit varies greatly across space. In some cases, unevenly distributed transit supply creates gaps in service that impede travelers' abilities to cross space and access jobs or other opportunities. With the advent of ride-hailing services like Uber and Lyft, however, travelers now have a new potential to gain automobility without high car purchase costs and in the absence of reliable transit service. Research remains mixed on whether ride-hailing serves as a modal complement or substitute to transit or whether ride-hailing fills transit service needs gaps. This study measures transit supply in Chicago and compares it to ride-hailing origins and destinations to examine if ride-hailing fills existing transit service gaps. Findings reveal clustering of ride-hailing pickups and drop-offs across the City of Chicago, but that the number of ride-hailing pickups and drop-offs was most strongly associated with high neighborhood median household income rather than measures of transit supply. In bivariate analyses, transit service was not associated with ride-hailing trip ends. But after controlling for neighborhood socioeconomic status, transit dependency, population density, and employment density, we found fewer ride-hailing trips in neighborhoods where bus service dominated and significantly more ride-hailing trips where rail service was prevalent. Patterns were slightly different for overnight weekend ride-hailing pick-ups, where higher transit density predicted a greater number of trips in nearby tracts. Additional research and policy is needed to ensure that ride-hailing services provide travel options to those who need them the most and fill transit gaps in low-income communities when options to increase service are limited.     

Support for innovative on-street parking policies: empirical evidence from an urban neighborhood

Municipalities and planners often hesitate to implement restrictive parking policies because residents regularly oppose any changes to on-street parking space. Residential parking is one key factor of parking management because its location and availability influence a household's car ownership and use. Moreover, as more residents regularly use other means of transportation that need space and infrastructure in the urban realm, and as parking takes up a vast amount of land, municipalities are considering the reuse of on-street parking space for other purposes. As public acceptability is a precondition for the successful implementation of a proposed policy, our empirical analysis investigates to what extent residents support restrictive and demand-oriented on-street parking policies in the dense, highly urbanized neighborhood of Frankfurt-Bornheim, Germany (N = 1027). Surprisingly, despite some variations, the majority of the residents in our survey are in favor of the policy options suggested. Support for the demand-oriented policies (extension of bicycle infrastructure, improved sharing supply and mobility hubs, neighborhood garages, and improved public transit supply) is higher than the acceptance of the restrictive policies, and of policies that are a combination of restrictive and demand-oriented policies. However, surprisingly, a majority is still in favor of many of these (extension of parking fees and parking restrictions, and reuse of parking space for better livability). Furthermore, we classify residents who live in a household with private cars into the stage model of self-regulated behavior change to analyze their intention towards a reduction in private car use. Results from linear regression analyses indicate that residents who have intentions to change their behavior towards car use reduction assess the policy options more similarly to car-free households and regular bike users, and not like the other car-owning households. The findings suggest that while the residents support financial-related policies the least, they are more receptive towards parking policies than policy makers and planners assume if the reuse of parking lots creates space for other users or if it increases the quality of life, for instance, by adding bike lanes, wider sidewalks or greenery. Hence, a combination of restrictive and demand-oriented on-street parking policies results in high acceptance among residents, and the communication from municipalities regarding the implementation of the different policies needs to vary depending on the kind of household.     

The geography of advance transit-oriented development in metropolitan Phoenix, Arizona, 2000-2007

Phoenix adopted overlay zoning (an additional, targeted layer of regulations) in some light-rail transit (LRT) station areas at the site-selection stage to reduce planning-related uncertainty. This prompts consideration of advance transit-oriented development (TOD)—development that takes place before LRT system operation. In this paper we break down almost $1 billion worth of advance TOD in the Phoenix area by type of TOD, type of station area, and use of overlay zoning. Factor analysis and cluster analysis are applied to GIS-based parcel-level data to identify five distinct station-area types. We then use ANOVA to verify statistically significant relationships between station-area type and: the value of advance TOD, the percentage of parcels with overlay zoning, and the percentage of advance TOD with overlay zoning. The five station-area types, ordered from highest to lowest advance TOD per station, are employment centers; Middle-Income Mixed-Use areas; transportation (park-and-ride) nodes; high population/rental areas; and urban poverty areas. Overlay zoning was used most in areas of urban poverty and least in station-area types with the most single-family housing. Advance TOD coincided strongly with overlay zoning in areas of urban poverty and least in employment and amenity centers.     

Heterogeneous effects of neighborhood type on commute mode choice: An exploration of residential dissonance in the Twin Cities

Many studies have measured residential and travel preferences to address residential self-selection and they often focused on the average or independent effect of the built environment on travel behavior. However, individuals' behavioral responses to built environment interventions may vary by their different tastes. Using the 2011 data from the Minneapolis–St. Paul metropolitan area, this study examines the influences of neighborhood type, travel attitudes, and their interaction terms on commute mode choice. The interactions between neighborhood type and travel attitudes have no significant impact on driving commute frequency whereas the effects of neighborhood type on the propensity for transit commute differ by transit preference. Specifically, urban consonants (including those in LRT neighborhoods) have the highest propensity for transit commute, followed by suburban dissonants, urban dissonants, and then suburban consonants. Therefore, individuals' heterogeneous responses to built environment elements should be taken into account in future research and in the design of land use and transportation policies aiming to shape urban travel.     

Future impacts of coal distribution constraints on coal costs

This study seeks to identify potential capacity constraints within the US rail network that could limit expanded use of coal for electricity generation and hydrogen fuel production. We estimate the costs of alleviating those constraints under various scenarios of future coal demand growth. By 2050, coal transportation is projected to increase 35–90% necessitating rail capital investments of $1.5–11.0 billion. These investments are within the range of historical expenditures in the railroad industry, so it is unlikely that delivered prices of coal will necessarily increase or that rail capacity will be a barrier to a future coal-based “Hydrogen Economy”.     

Evaluating sustainability and land use integration of BRT stations via extended node place model,an application on BRT stations of Tehran

Modern transportation planners and urban designers are looking for a practical solution toward sustainable, accessible, and cost-effective development of public transportation. Achieving a well-balanced transit-oriented development (TOD) requires a clear illustration of the existing public transportation, land use, and correlations between them. Bus rapid transit (BRT) is a well-known strategy toward developing high-quality transit networks and would be a reasonable transportation choice if allied with a suitable walkable design in surrounding areas. In this paper, the node-place model is developed and applied on BRT stations in Tehran to be analyzed and clustered using three extended TOD indicators. The design index, representing the accessibility and walking potential, is further improved by measuring spatial specifications and walkway density parameters. Furthermore, the place index, representing demand and land use specifications of the area, is investigated through the calculation of possible destination points (PDPs) in the vicinity of stations. The model is reapplied after correlation analyses on input data to find stations' behavior by using more effective parameters. The results indicate that appropriate access to the stations requires a tight network of walkways that offers multiple routes to the stations. Meanwhile, a dense and sophisticated pedestrian area needs to offer short routes with minimum turns required to reach the station. Moreover, in each station, some factors are found to be more dominating. Changes in these factors have more profound effects than other factors. This paper aims to identify these factors and help planners develop TOD areas sustainably.     

Light rail development with or without gentrification?: Neighborhood perspectives on changing sense of place in Denver,Colorado

The growing and continued popularity of light rail transit systems in major United States metropolitan areas is leading to growing research on land use impacts, value generation, and contributions to gentrification. While various studies explore the fiscal and environmental influences of light rail transit development in the Denver Metropolitan Area, only recently have scholars turned their attention to gentrification and social influences. This paper analyzes how one station shapes residents' sense of place, providing more nuanced understandings of the role light rail and transit-oriented development affects perceptions of neighborhood character and place attachment. We argue that gentrification can be measured and understood not only quantitatively, but also by how people feel light rail influences their attachment to place. Residents within half a mile of the Evans Light Rail Station were randomly and anonymously surveyed with a series of demographic questions and asked to provide their experiences, observations, and opinions. With 166 household responses, we examine residents' perceptions of Evans Station and sense of place to investigate relationships between factors such as race, age, income, education, length of residency, and walking distance from the light rail station. Analysis of their responses creates a more nuanced understanding of the ways that light rail contributes to positive, neutral, and negative emotions associated with gentrification ranging from appreciation of increased accessibility, younger residents, increased property values, and new commercial development to complaints about increased density, higher rents, traffic, noise, and loss of community.     

Demand for electric vehicles in hybrid households: an exploratory analysis

Previous studies of the potential market for battery electric vehicles (BEVs) from different research streams have failed to converge on a single, robust estimate. What these previous research streams share are untested or implausible assumptions about consumer response to new transportation technology. We frame the BEV purchase decision in terms of a household's entire stock of vehicles, car purchase behavior and travel behavior. Within this framework, households which own both electric vehicles and gasoline vehicles are called ‘hybrid households’. Because nearly all consumers are unfamiliar with the characteristics of BEVs, we designed an interactive interview based on week-long travel diaries, which we call Purchase Intentions and Range Estimation Games (PIREG) to explore hypothetical hybrid household vehicle use. Our primary finding is that consumers' perceived driving range needs are substantially lower than previous hypothetical stated preference studies conclude. We find evidence of a viable market for BEVs with 60 to 100 miles driving range.