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Research Theme: Infrastructure & Transportation

Includes both management/policy and design/building aspects

Travel and Car Ownership of Residents near New Suburban Metro Stations in Shanghai, China

Pan, H., Shen, Q., & Zhao, T. (2013). Travel and Car Ownership of Residents near New Suburban Metro Stations in Shanghai, China. Transportation Research Record, 2394(1), 63–69.

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Abstract

Large cities in China are building extensive rail transit systems in combination with transit-oriented development in suburban areas, so that public transportation can play a leading role in supporting rapid urban expansion. Shanghai, China has been a leader in this planning approach. Shanghai's experience can be valuable for other cities facing similar pressures of urbanization, suburbanization, and motorization while striving to improve livability and reduce greenhouse gas emissions. To gain useful insights from Shanghai, a travel survey of residents in a recently developed suburban metro station area was conducted to examine how the city's mass rapid transit (MRT) has influenced residents’ travel and car ownership. With statistical methods, including logistic regression, it was found that (a) MRT was generally adequate in supporting the station area's economic relationships with the central city and local employment locations; (b) a high percentage of residents intended to commute by the MRT when they moved to the suburban station area, and their original intention positively influenced their current travel and car ownership; and (c) rail transit may help temporarily reduce the pace of motorization in households near suburban metro stations by delaying a car purchase and lowering the probability of car use in commuting. However, it was also found that car ownership had been increasing quite rapidly despite the positive effects of a much expanded and improved metro system, and that once a person owned a car, he or she would most likely drive to work.

Does Accessibility Require Density or Speed?

Levine, J., Grengs, J., Shen, Q., & Shen, Q. (2012). Does Accessibility Require Density or Speed?. Journal of the American Planning Association, 78(2), 157–172.

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Abstract

Problem, research strategy, and findings: Advocates of accessibility as a transportation performance metric often assert that it requires higher density. Conversely, traditional transportation planning methods have valued speed per se as an indicator of success in transportation. In examining these claims, we make two methodological innovations. The first is a new intermetropolitan gravity-based accessibility metric. Second, we decompose the impact of density on accessibility to highlight the distinct opposing influences of speed and proximity in a manner that illustrates different families of relationships between these two factors. This reveals that denser metropolitan regions have slower travel speeds but greater origin-destination proximity. The former effect tends to degrade accessibility while the latter tends to enhance it. Despite theoretical reasons to expect that the speed effect dominates, results suggest that the proximity effect dominates, rendering the denser metropolitan areas more accessible.

Takeaway for practice: Having destinations nearby, as when densities are high, offers benefits even when the associated congestion slows traffic. Where land use policy frequently seeks to support low-development densities in part in an attempt to maintain travel speeds and forestall traffic congestion, our findings suggest that compact development can often improve transportation outcomes.

Research support: Environmental Protection Agency project RD-83334901-0, FHWA Cooperative Agreement Number: DTFH61-07-H-00037, and the Graham Environmental Sustainability Institute at the University of Michigan.

Keywords

accessibility; mobility; speed; proximity; transportation planning

Transit-Oriented Development at the Urban Periphery: Insights from a Case Study in Shanghai, China

‌Pan, H., Shen, Q., & Liu, C. (2011).. Transit-Oriented Development at the Urban Periphery: Insights from a Case Study in Shanghai, China. Transportation Research Record: Journal of the Transportation Research Board, 2245(1), 95–102.

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Abstract

Major cities in China are extending rail transit into the urban periphery to counter urban growth and suburbanization that are automobile-driven and automobile-dependent. In the meantime, transit-oriented development (TOD) has been adopted widely in Chinese cities. Given the adoption of the TOD concept by many rail transit station areas at the peripheries of metropolitan regions, it is imperative to explore how TOD can be applied appropriately there. In this study, two station areas were examined in Songjiang, a district located approximately 30 km from the city center of Shanghai, China. These station areas have developed according to some basic TOD principles, and, in many important ways, they are representative of newly developed rail transit station areas in Shanghai and in other major Chinese cities. The conduct of a questionnaire survey allowed for investigation of resident travel behavior, assessment of the effectiveness of the TOD application, and discussion of how TOD should be adapted to peripheral locations in a large and complex metropolitan region. The study concluded that planners must carefully substantiate the basic TOD concept in connection with this particular kind of application setting. Careful consideration should be paid to mixed land use, differentiated density, and to pedestrian and bicycle travel and their connection with rail transit. Planners also must pay close attention to each peripheral area's economic and social conditions, as well as its relationships with the central city and with other parts of the metropolitan region. This case study not only provided timely feedback on current planning practice in Shanghai and other Chinese cities but also contributed to the literature on the adaptation of TOD to local circumstances.

 

Architecture for the Boston & Albany Railroad: 1881-1894

Ochsner, J. K. (1988). Architecture for the Boston & Albany Railroad: 1881-1894. Journal of the Society of Architectural Historians, 47(2), 109-131 .

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Abstract

Between 1881 and 1894 the Boston & Albany Railroad undertook a major program of capital investment and improvements to the physical facilities of the line, including the construction of over 30 new passenger stations. H. H. Richardson's close friends, James A. Rumrill and Charles S. Sargent, as the two members of the B&A Board most interested in construction, were given responsibility for this program. They directed the commissions to Richardson and after his death to his successors, Shepley, Rutan and Coolidge. Richardson's nine B&A station designs were generally variations on a simple theme-small rectangular stone blocks with overhanging roofs providing sheltered waiting space at trackside. The continuation of this approach by Shepley, Rutan and Coolidge in 23 additional station designs resulted in a remarkable consistency of character and quality throughout the B&A system. This consistency was also fostered by the continuing participation of Norcross Brothers of Worcester (Richardson's "Master Builder") as contractor, and by the participation of F. L. Olmsted, whose design of landscaped settings for many of the stations contributed to the establishment of the B&A program of "railroad gardening." While the stations were small commissions, the totality of the B&A program represents an impressive collaboration of designer, contractor, and client which has seldom been equalled.

Using Open Data and Open-source Software to Develop Spatial Indicators of Urban Design and Transport Features for Achieving Healthy and Sustainable Cities

Boeing, Geoff; Higgs, Carl; Liu, Shiqin; Giles-corti, Billie; Sallis, James F.; Cerin, Ester; Lowe, Melanie; Adlakha, Deepti; Hinckson, Erica; Moudon, Anne Vernez; Salvo, Deborah; Adams, Marc A.; Barrozo, Ligia, V; Bozovic, Tamara; Delclos-alio, Xavier; Dygryn, Jan; Ferguson, Sara; Gebel, Klaus; Thanh Phuong Ho; Lai, Poh-chin; Martori, Joan C.; Nitvimol, Kornsupha; Queralt, Ana; Roberts, Jennifer D.; Sambo, Garba H.; Schipperijn, Jasper; Vale, David; Van De Weghe, Nico; Vich, Guillem; Arundel, Jonathan. (2022). Using Open Data and Open-source Software to Develop Spatial Indicators of Urban Design and Transport Features for Achieving Healthy and Sustainable Cities. Lancet Global Health, 10(6), E907-E918.

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Abstract

Benchmarking and monitoring of urban design and transport features is crucial to achieving local and international health and sustainability goals. However, most urban indicator frameworks use coarse spatial scales that either only allow between-city comparisons, or require expensive, technical, local spatial analyses for within-city comparisons. This study developed a reusable, open-source urban indicator computational framework using open data to enable consistent local and global comparative analyses. We show this framework by calculating spatial indicators-for 25 diverse cities in 19 countries-of urban design and transport features that support health and sustainability. We link these indicators to cities' policy contexts, and identify populations living above and below critical thresholds for physical activity through walking. Efforts to broaden participation in crowdsourcing data and to calculate globally consistent indicators are essential for planning evidence-informed urban interventions, monitoring policy effects, and learning lessons from peer cities to achieve health, equity, and sustainability goals.

Keywords

Systems; Access; Care

Qing Shen awarded funding for commute research survey

The Mobility Innovation Center announced that Qing Shen, professor of Urban Design & Planning and an expert in transportation planning and policy, has received a $100,000 award to study commuting patterns and develop a model to understand the effect of telework and flexible scheduling. The project will build off the existing Commute Trip Reduction (CTR) survey for employers who are in the CTR program as required by state law in the central city portion of Seattle. In addition, a complementary…

Carbon Consequences of Land Cover Change and Expansion of Urban Lands: A Case Study in the Seattle Metropolitan Region

Hutyra, Lucy R.; Yoon, Byungman; Hepinstall-Cymerman, Jeffrey; Alberti, Marina. (2011). Carbon Consequences of Land Cover Change and Expansion of Urban Lands: A Case Study in the Seattle Metropolitan Region. Landscape And Urban Planning, 103(1), 83 – 93.

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Abstract

Understanding the role humans play in modifying ecosystems through changing land cover is central to addressing our current and emerging environmental challenges. In particular, the consequences of urban growth and land cover change on terrestrial carbon budgets is a growing issue for our rapidly urbanizing planet. Using the lowland Seattle Statistical Metropolitan Area (MSA) region as a case study, this paper explores the consequences of the past land cover changes on vegetative carbon stocks with a combination of direct field measurements and a time series of remote sensing data. Between 1986 and 2007, the amount of urban land cover within the lowland Seattle MSA more than doubled, from 1316 km(2) to 2798 km(2), respectively. Virtually all of the urban expansion was at the expense of forests with the forested area declining from 4472 km(2) in 1986 to 2878 km(2) in 2007. The annual mean rate of urban land cover expansion was 1 +/- 0.6% year(-1). We estimate that the impact of these regional land cover changes on aboveground carbon stocks was an average loss of 1.2 Mg C ha(-1) yr(-1) in vegetative carbon stocks. These carbon losses from urban expansion correspond to nearly 15% of the lowland regional fossil fuel emissions making it an important, albeit typically overlooked, term in regional carbon emissions budgets. As we plan for future urban growth and strive for more ecologically sustainable cities, it is critical that we understand the past patterns and consequences of urban development to inform future land development and conservation strategies. (C) 2011 Elsevier B.V. All rights reserved.

Keywords

Sprawl; Growth; Carbon Cycle; Emissions; Land Cover; Urbanization; Seattle; Vegetation; Carbon; Carbon Sinks; Case Studies; Cities; Ecosystems; Forests; Fossil Fuels; Humans; Land Use; Planning; Remote Sensing; Time Series Analysis

Walking Objectively Measured: Classifying Accelerometer Data with GPS and Travel Diaries

Kang, Bumjoon; Moudon, Anne V.; Hurvitz, Philip M.; Reichley, Lucas; Saelens, Brian E. (2013). Walking Objectively Measured: Classifying Accelerometer Data with GPS and Travel Diaries. Medicine & Science In Sports & Exercise, 45(7), 1419 – 1428.

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Abstract

Purpose: This study developed and tested an algorithm to classify accelerometer data as walking or nonwalking using either GPS or travel diary data within a large sample of adults under free-living conditions. Methods: Participants wore an accelerometer and a GPS unit and concurrently completed a travel diary for seven consecutive days. Physical activity (PA) bouts were identified using accelerometry count sequences. PA bouts were then classified as walking or nonwalking based on a decision-tree algorithm consisting of seven classification scenarios. Algorithm reliability was examined relative to two independent analysts' classification of a 100-bout verification sample. The algorithm was then applied to the entire set of PA bouts. Results: The 706 participants' (mean age = 51 yr, 62% female, 80% non-Hispanic white, 70% college graduate or higher) yielded 4702 person-days of data and had a total of 13,971 PA bouts. The algorithm showed a mean agreement of 95% with the independent analysts. It classified PA into 8170 walking bouts (58.5 %) and 5337 nonwalking bouts (38.2%); 464 bouts (3.3%) were not classified for lack of GPS and diary data. Nearly 70% of the walking bouts and 68% of the nonwalking bouts were classified using only the objective accelerometer and GPS data. Travel diary data helped classify 30% of all bouts with no GPS data. The mean + SD duration of PA bouts classified as walking was 15.2 + 12.9 min. On average, participants had 1.7 walking bouts and 25.4 total walking minutes per day. Conclusions: GPS and travel diary information can be helpful in classifying most accelerometer-derived PA bouts into walking or nonwalking behavior.

Keywords

Walking; Algorithms; Decision Trees; Geographic Information Systems; Research Funding; Travel; Accelerometry; Diary (literary Form); Descriptive Statistics; Algorithm; Classification; Physical Activity; Walk Trip; Global Positioning Systems; Physical-activity; Environment; Behaviors; Validity; Location

Split-Match-Aggregate (SMA) Algorithm: Integrating Sidewalk Data with Transportation Network Data in GIS

Kang, Bumjoon; Scully, Jason Y.; Stewart, Orion; Hurvitz, Philip M.; Moudon, Anne V. (2015). Split-Match-Aggregate (SMA) Algorithm: Integrating Sidewalk Data with Transportation Network Data in GIS. International Journal Of Geographical Information Science, 29(3), 440 – 453.

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Abstract

Sidewalk geodata are essential to understand walking behavior. However, such geodata are scarce, only available at the local jurisdiction and not at the regional level. If they exist, the data are stored in geometric representational formats without network characteristics such as sidewalk connectivity and completeness. This article presents the Split-Match-Aggregate (SMA) algorithm, which automatically conflates sidewalk information from secondary geometric sidewalk data to existing street network data. The algorithm uses three parameters to determine geometric relationships between sidewalk and street segments: the distance between streets and sidewalk segments; the angle between sidewalk and street segments; and the difference between the lengths of matched sidewalk and street segments. The SMA algorithm was applied in urban King County, WA, to 13 jurisdictions' secondary sidewalk geodata. Parameter values were determined based on agreement rates between results obtained from 72 pre-specified parameter combinations and those of a trained geographic information systems (GIS) analyst using a randomly selected 5% of the 79,928 street segments as a parameter-development sample. The algorithm performed best when the distances between sidewalk and street segments were 12m or less, their angles were 25 degrees or less, and the tolerance was set to 18m, showing an excellent agreement rate of 96.5%. The SMA algorithm was applied to classify sidewalks in the entire study area and it successfully updated sidewalk coverage information on the existing regional-level street network data. The algorithm can be applied for conflating attributes between associated, but geometrically misaligned line data sets in GIS.

Keywords

Geodatabases; Sidewalks; Algorithms; Pedestrians; Digital Mapping; Algorithm; Gis; Pedestrian Network Data; Polyline Conflation; Sidewalk; Built Environment; Physical-activity; Mode Choice; Urban Form; Land-use; Travel; Generation; Walking