Killarney Visitor Survey 2010

The DIT-ACHIEV Model for the Sustainable Management of Tourism has been developed by the School of Hospitality Management and Tourism, Technological University Dublin and is endorsed by the Environmental Protection Agency and Fáilte Ireland. It explores six areas of investigation - Administration, Community, Heritage, Infrastructure, Enterprise and Visitor. The purpose of piloting this DITACHIEV model in Killarney is to test its use with the objective to refine and adjust its methodology, so that it can be applied in any Irish tourism destination. Early indications are that The Model will provide the Irish tourism industry with a valuable tool for making its product and management far more sustainable. In addi t i on to data such as e n v i r o nme n t al me as u r eme n t s , information on water, waste, energy, transport, examination of local cultural, environmental and employment statistics, the model requires the undertaking of three dedicated surveys: • A Resident Survey • A Business Survey • A Visitor Survey A survey of residents was undertaken at the outset of the year and the Business Survey was run during the latter part of the summer months. With the support of local volunteers and students, this yearlong Visitor Survey has taken place throughout Killarney. This report presents the main findings of 659 Visitor Surveys that were conducted between Nov 2009 and Oct 2010. The support of the surveyors is gratefully acknowledged, and it is hoped that the findings presented in this report will lead to much discussion and self analysis by the tourism industry in Killarney

2010 Killarney Business Survey

The DIT-ACHIEV Model for the Sustainable Management of Tourism has been developed by the School of Hospitality Management and Tourism, Technological University Dublin and is endorsed by the Environmental Protection Agency and Fáilte Ireland. It explores six areas of investigation - Administration, Community, Heritage, Infrastructure, Enterprise and Visitor. The purpose of piloting this DIT- ACHIEV model in Killarney is to test its use with the objective to refine and adjust its methodology, so that it can be applied in any Irish tourism destination. Early indications are that The Model will provide the Irish tourism Industry with a valuable tool for making its product and management far more sustainable. In addition to data such as environmental measurements, information on water, waste, energy, transport, examination of local cultural, environmental and employment statistics, the model requires the undertaking of three dedicated surveys: A Resident Survey A Business Survey A Visitor Survey With the support of local volunteers and students, a year-long Visitor Survey has taken place throughout Killarney. A survey of residents was undertaken at the outset of the year and this Business Survey was run during the latter part of the summer months. 250 businesses in Killarney Town and Valley were invited to participate and this publication presents the views of the 157 who completed the survey on-line and face-to-face. In almost all instances the respondents were owners / managers, and most respondents answered all of the questions. Thus, this report provides a good overall representation of the Killarney business community

Killarney Resident Survey 2010

The DIT-ACHIEV Model for the Sustainable Management of Tourism has been developed by the School of Hospitality Management and Tourism, Technological University Dublin and is endorsed by the Environmental Protection Agency and Fáilte Ireland. It explores six areas of interest - Administration, Community, Heritage, Infrastructure, Enterprise and Visitor. The purpose of piloting this DIT- ACHIEV model in Killarney is to test its use in an Irish tourism destination, with the objective to refine and adjust its methodology, so that it can be applied in any Irish tourism destination. Early indications are that the Model will provide the Irish Tourism Industry with a valuable tool for making its product and management far more sustainable. In addition to data such as environmental measurements, information on water, waste, energy, transport, examination of local cultural, landscape and employment statistics, the model requires the undertaking of three dedicated surveys: • A Resident Survey • A Business Survey • A Visitor Survey With the support of local volunteers, a Visitor Survey has been taking place throughout Killarney over the last 6 months, and results will be presented at the end of the season. A Business Survey will take place in the coming weeks, and this publication presents an overview of the findings from an on-line survey of 436 Killarney Town and Valley residents which took place in recent weeks. This report presents Killarney people’s attitudes and opinions regarding tourism and while some issues have emerged, the general response to the survey is that Killarney residents overwhelmingly support tourism

“What? So What”: The Next-Generation JHOVE2 Architecture for Format-Aware Characterization

The JHOVE characterization framework is widely used by international digital library programs and preservation repositories. However, its extensive use over the past four years has revealed a number of limitations imposed by idiosyncrasies of design and implementation. With funding from the Library of Congress under its National Digital Information Infrastructure Preservation Program (NDIIPP), the California Digital Library, Portico, and Stanford University are collaborating on a two-year project to develop and deploy a next-generation architecture providing enhanced performance, streamlined APIs, and significant new features. The JHOVE2 Project generalizes the concept of format characterization to include identification, validation, feature extraction, and policy-based assessment. The target of this characterization is not a simple digital file, but a (potentially) complex digital object that may be instantiated in multiple files

The Baryonic Collapse Efficiency of Galaxy Groups in the RESOLVE and ECO Surveys

We examine the z = 0 group-integrated stellar and cold baryonic (stars + cold atomic gas) mass functions (group SMF and CBMF) and the baryonic collapse efficiency (group cold baryonic to dark matter halo mass ratio) using the RESOLVE and ECO survey galaxy group catalogs and a galform semi-analytic model (SAM) mock catalog. The group SMF and CBMF fall off more steeply at high masses and rise with a shallower low-mass slope than the theoretical halo mass function (HMF). The transition occurs at group-integrated cold baryonic mass M_coldbary ~ 10^11 Msun. The SAM, however, has significantly fewer groups at the transition mass ~ 10^11 Msun and a steeper low-mass slope than the data, suggesting that feedback is too weak in low-mass halos and conversely too strong near the transition mass. Using literature prescriptions to include hot halo gas and potential unobservable galaxy gas produces a group BMF with slope similar to the HMF even below the transition mass. Its normalization is lower by a factor of ~2, in agreement with estimates of warm-hot gas making up the remaining difference. We compute baryonic collapse efficiency with the halo mass calculated two ways, via halo abundance matching (HAM) and via dynamics (extended all the way to three-galaxy groups using stacking). Using HAM, we find that baryonic collapse efficiencies reach a flat maximum for groups across the halo mass range of M_halo ~ 10^11.4-12 Msun, which we label "nascent groups." Using dynamics, however, we find greater scatter in baryonic collapse efficiencies, likely indicating variation in group hot-to-cold baryon ratios. Similarly, we see higher scatter in baryonic collapse efficiencies in the SAM when using its true groups and their group halo masses as opposed to friends-of-friends groups and HAM masses

Resolve and eco: the halo mass-dependent shape of galaxy stellar and baryonic mass functions

In this work, we present galaxy stellar and baryonic (stars plus cold gas) mass functions (SMF and BMF) and their halo mass dependence for two volume-limited data sets. The first, RESOLVE-B, coincides with the Stripe 82 footprint and is extremely complete down to baryonic mass Mbary ∼ 10^9.1 M⊙, probing the gas-rich dwarf regime below Mbary ∼ 10^10 M⊙. The second, ECO, covers a ~40× larger volume (containing RESOLVE-A) and is complete to Mbary ~10^9.4 M⊙. To construct the SMF and BMF we implement a new “cross-bin sampling” technique with Monte Carlo sampling from the full likelihood distributions of stellar or baryonic mass. Our SMFs exhibit the “plateau” feature starting below Mstar ~10^10 M⊙ that has been described in prior work. However, the BMF fills in this feature and rises as a straight power law below ~10^10 M⊙, as gas-dominated galaxies become the majority of the population. Nonetheless, the low-mass slope of the BMF is not as steep as that of the theoretical dark matter halo MF. Moreover, we assign group halo masses by abundance matching, finding that the SMF and BMF separated into four physically motivated halo mass regimes reveal complex structure underlying the simple shape of the overall MFs. In particular, the satellite MFs are depressed below the central galaxy MF “humps” in groups with mass < 10^13.5 M⊙ yet rise steeply in clusters. Our results suggest that satellite destruction and/or stripping are active from the point of nascent group formation. We show that the key role of groups in shaping MFs enables reconstruction of a given survey’s SMF or BMF based on its group halo mass distribution

The RESOLVE Survey Atomic Gas Census and Environmental Influences on Galaxy Gas Reservoirs

We present the H i mass inventory for the REsolved Spectroscopy Of a Local VolumE (RESOLVE) survey, a volume-limited, multi-wavelength census of >1500 z = 0 galaxies spanning diverse environments and complete in baryonic mass down to dwarfs of ~109 ${M}_{\odot }$. This first 21 cm data release provides robust detections or strong upper limits (1.4M H i 1012 ${M}_{\odot }$) halos, suggesting that gas stripping and/or starvation may be induced by interactions with larger halos or the surrounding cosmic web. We find that the detailed relationship between G/S and environment varies when we examine different subvolumes of RESOLVE independently, which we suggest may be a signature of assembly bias

206.07 LT10 ARKs in the open

ARKs are a widely used to ensure persistent publicly resolvable links to objects. The ARK ecosystem is crucial to long-term access to digital objects. Over 550 institutions (research, not-for-profit, private, government) across the world have registered to use ARKs. They’ve created an estimated 175 million ARKs with publicly resolvable links to objects (digital, physical, people, places, etc.). This talk will provide an update on "ARKs in the Open", a collaboration aimed at building an open, international community around Archival Resource Keys (ARKs) and their use as persistent identifiers in the open scholarly ecosystem