Assessing the Transportation Adaptation Options to Sea Level Rise for Safety Enhancement in RITI Communities through a Structured Decision-Making Framework

Through a structured decision-making framework, this study aims to better understand the key factors influencing transportation adaptation planning in practice. Qualitative, semi-structured, in-depth interviews with various stakeholders were conducted to identify the main concerns, challenges, objectives, tradeoffs, and evaluation variables in transportation adaptation planning. Stakeholders were identified through preliminary interviews with transportation planning experts from the metropolitan planning organization using typical case and snowball sampling methods. Key aspects related to the major concerns, objectives, priorities, adaptation plan evaluations, implementation challenges, and potential conflicts and tradeoffs are identified. Major barriers to adaptation plan development and implementation include lack of resources, competing with more urgent needs, conflicts with other planning objectives, lack of holistic view, working in silos, mismatched and outdated information, uncertainty in future scenarios, and action inertia. To overcome these challenges, we propose 1) more efforts to understand community values, develop strategic goals, and identify their priorities in order to balance the tradeoffs 2) collaboration with other sectors to develop a holistic view of resilience and strategic plans that achieve multiple planning goals 3) collaborate with diverse stakeholders to reduce spatial and temporal information mismatches and to create adaptive plans that can accommodate multiple scenarios with uncertainty 4) conduct community outreach and stakeholder engagement from the beginning to build support, consolidate resources, and eliminate social inertia for plan implementation

BUILDING CAPACITY FOR CLIMATE ADAPTATION Assessing the Vulnerability of Transportation Infrastructure to Sea Level Rise for Safety Enhancement in RITI Communities

Sea level rise (SLR) and more frequent extreme weather events are an emerging concern for transportation infrastructures in coastal areas. In particular, the livelihoods and transportation safety of vulnerable populations such as indigenous rural communities may be at higher risk to sea-level rise and exacerbated coastal flooding due to their heavy dependence on natural resources, settlements in relatively isolated fringe land, limited accessibility to services, and alternative economic activities, as well as lack of resources and tools for adaptation. Despite existing studies on sea-level rise’s impacts, there is a lack of understanding of how the impacts of tidal flooding and sea-level rise may be unevenly distributed both spatially and socially, and how vulnerable (e.g. rural, relatively isolated) communities have experienced such impacts and perceive future risks. Using survey data, this project helps to better understand the current experience and risk perception of different communities when facing sea-level rise and more frequent coastal flooding. It helps to understand different communities’ perceived travel challenges with coastal flooding, the social sensitivity to different types of challenges, and the priorities and concerns to access various types of resources with the projected sea-level rise. The findings could be used to develop adaptation strategies that improve communities’ safe access to highly valued resources and activities

Assessing the Transportation Adaptation Options to Sea Level Rise for Safety Enhancement in RITI Communities through a Structured Decision-Making Framework

Through a structured decision-making framework, this study aims to better understand the key factors influencing transportation adaptation planning in practice. Qualitative, semi-structured, in-depth interviews with various stakeholders were conducted to identify the main concerns, challenges, objectives, tradeoffs, and evaluation variables in transportation adaptation planning. Stakeholders were identified through preliminary interviews with transportation planning experts from the metropolitan planning organization using typical case and snowball sampling methods. Key aspects related to the major concerns, objectives, priorities, adaptation plan evaluations, implementation challenges, and potential conflicts and tradeoffs are identified. Major barriers to adaptation plan development and implementation include lack of resources, competing with more urgent needs, conflicts with other planning objectives, lack of holistic view, working in silos, mismatched and outdated information, uncertainty in future scenarios, and action inertia. To overcome these challenges, we propose 1) more efforts to understand community values, develop strategic goals, and identify their priorities in order to balance the tradeoffs 2) collaboration with other sectors to develop a holistic view of resilience and strategic plans that achieve multiple planning goals 3) collaborate with diverse stakeholders to reduce spatial and temporal information mismatches and to create adaptive plans that can accommodate multiple scenarios with uncertainty 4) conduct community outreach and stakeholder engagement from the beginning to build support, consolidate resources, and eliminate social inertia for plan implementation

Physical Exposure and Social Sensitivity Estimating Sea Level Rise Impacts to Transportation through Vulnerability Assessment and Social Media Analysis [Brief]

Sea level rise, as one of the most wide-spread and important climate change factors, has become a pressing threat to transportation infrastructures, especially in coastal region such as Hawaii. While many research have been conducted to assess the potential impacts and physical vulnerability of transportation network to sea level rise, it is often difficult to validate the results due to the lack of empirical data. This project combines transportation vulnerability assessments with social media analysis and community mapping to understand the potential impacts of sea level rise on transportation and potential adaptive responses

Aging in Place or Moving to Higher Ground: Older Adults’ Adaptation to Sea Level Rise in Honolulu, Hawaii

Coastal communities face escalating risks from rising sea levels and the increasing growth of vulnerable, aging populations in high-risk zones. These threats are expected to intensify as population growth and aging trends continue. In response to these challenges, this study represents a novel investigation into the synergistic impacts of demographic shifts and climate change in shaping the vulnerability of coastal communities, particularly focusing on elderly populations. This study’s primary objectives are to assess the potential impacts of these threats on vulnerable older adults and to explore effective adaptation strategies. To achieve these objectives, we used census tract data from Hawaii and the Hamilton–Perry cohort-component method to project the elderly population trends in each census tract for Honolulu in 2050. The vulnerabilities of older adults were estimated under different sea level rise level conditions and mapped according to three planning scenarios: (1) maintaining the status quo; (2) relocating or redeveloping vulnerable elderly residents to safer, low-density neighborhoods; (3) relocating or redeveloping vulnerable elderly residents to secure, high-density areas with amenities for older adults. We further evaluated transportation accessibility to emergency services in these scenarios. The findings reveal that with a projected sea level rise of 1.1 feet, the number of elderly individuals without timely access (within 8 min) to emergency and healthcare services would double by 2050. This is primarily attributed to reduced transportation access and increased aging in high-risk areas. Compared to the status quo, both relocation (or redevelopment) strategies significantly improve the vulnerable elderly population’s access to emergency and healthcare services, even without enhancements in transportation and infrastructure. Given that many developments and aging trends are yet to fully unfold, we propose that existing adaptation strategies should prioritize land use development, along with housing and transportation solutions that align with development scenarios 2 and 3, to support age-friendly activities and lifestyles. By directing population growth towards less vulnerable zones in the coming decades, we can achieve protective effects equivalent to those of future relocation efforts, but without incurring substantial protection or relocation costs

A bus route evaluation model based on GIS and super-efficient data envelopment analysis

When compared to large cities in developed countries, the shares of public transportation in most Chinese cities are low. Increasing the competitiveness of urban public transportation remains an urgent problem. A capable evaluation method for public transportation is required to assist the development of urban transit systems. This paper focuses on the bus system. Being devoid of standard criteria, it is difficult to determine the efficiency of a transit system or any bus line using a single evaluation index. This paper proposes a comparative analysis to evaluate bus lines so as to filter out candidates for further optimization. From the viewpoints of transit planning, operation and quality of service, this paper establishes 10 subordinate evaluation indices and then uses geographical information system tools, global positioning system data and smart card data to assist the index definition and calculation. Super-efficient data envelopment analysis (DEA) method is adopted for the proposed single factor and comprehensive evaluation models. Finally, the bus system in Shenzhen, China is used as a case study. The comparable significant results validate the capability of the proposed model

Analyzing spatiotemporal congestion pattern on urban roads based on taxi GPS data

With the development of in-vehicle data collection devices, GPS trajectory has become a priority source to identify traffic congestion and understand the operational states of road network in recent years. This study aims to investigate the relationship between traffic congestion and built environment, including traffic related factors and land use. Fuzzy C-means clustering was used to conduct an exhaustive study on 24-hour congestion pattern of road segments in urban area, so that the spatial autoregressive moving average model (SARMA) was introduced to analyze the output from the clustering analysis to establish the relationship between built environment and the 24-hour congestion pattern. The clustering result classified the road segments into four congestion levels, while the regression explained 12 traffic-related factors and land use factors’ impact on road congestion pattern. The continuous congestion was found to mainly occur in the city center, and the factors, such as road type, bus station in the vicinity, ramp nearby, commercial land use and so on have large impact on congestion formation. The Fuzzy C-means clustering was proposed to be combined with quantitative spatial regression, and the overall evaluation process will assist to assess the spatial-temporal levels of service of traffic from the congestion perspective

Developing an Analytical Framework for Optimizing Disaster Relief Preparedness to Coastal Hazards [Research Brief]

USDOT Grant 69A3551747109With more recognition of climate change's advent and seriousness, it is widely recognized that there could be more severe and frequent disruptions with the existing transportation infrastructure system. When the current infrastructure systems are overwhelmed and disrupted, communities depend on disaster relief supply chains to maintain the community's lifeline and improve disaster assistance response